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                    <text>1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Biodegradable Modified Corn Starch and Its Electroreological Properties
M ustafa Yavuz,
Suleyman Demirel University,Isparta, Turkey
yavuz@fef.sdu.edu.tr
Tahir Tilki
Süleyman Demirel University,Isparta, Turkey
Meh met Çabuk
Mus Alparslan University, Mus, Turkey
Meh met Ulutürk
Süleyman Demirel University,Isparta, Turkey

Abstract: In this study an electrorheological (ER) effect of the suspensions containing both
native starch (S) and modified starch (MS) particles in corn oil under various externally
applied electric field strengths are reported. To prepare an ER active material, biodegradable
starch was partially hydrolyzed and converted to its Li+ salt. Both biopolymers were
characterized by 13C-NMR, Scanning Electron Microscopy (SEM), Energy Dispersive
Spectroscopy (EDS) and Thermogravimetric Analysis (TGA). Suspensions of Starch and
modified Starch particles were prepared in corn oil at concentrations ranging from 5-40% by
mass. Rheological measurements were carried out via a rotational rheometer with a high
voltage generator to investigate the effects of electric field strength and particle concentration
on ER performance. Effects of various parameters such as sedimentation stability, dispersed
particle concentration, electric field strength, shear rate, frequency and temperature onto ER
activity were investigated. Modified starch suspension was accepted as a biodegradable
anhydrous ER fluid.

Introduction
Biodegradation is the process by which organic substances are broken down by the enzymes and
microorganisms. The term is often used in relation to ecology. Starch is a linear polymer (polysaccaride) made
up of repeating glucose groups linked by glucosidic linkages in the 1-4 carbon positions. Biodegradation of
starch based polymers is a result of enzymatic attack (Ogungbenle 2007) at the glucosidic linkages between the
sugar groups leading to a reduction in chain length and the splitting of sugar units (monosaccharides,
disaccharides and oligosaccharides)(Kato et al. 2003).
ER fluids can potentially be used as a smart materialfor active devices, which transform electric energy
to mechanical energy. They are composed of a suspension of polarization solid particles dispersed in a
nonconducting liquid media (Block &amp; Kelly 1988). When an electricfieldisimposed,the rheological properties of
the fluid vary, showing a characteristic fibrillation (Winslow 1949);the strings of the particles are oriented along
the direction ofthe electricfield. This structureis known to be induced by a mismatch ofthe dielectric constants
and conductivity ofthe suspended particles and theinsulating oil(Parthasarathy &amp; Klingenberg 1996). ER fluids are
divided into two categories (Tao et al. 2001): one is called dry-base ER system (or anhydrous, which shows ER
activity without adding any polar promoter) the other one is called wet-base ER systems (or hydrous, which
needs a polar promoterto be added to show ER activity).
In this study, we investigate native starch and modified starch as a vigorous nominee for anhydrous
particles in high performance dry-base systems by analyzing the effect of particle concentration, electric field
strength, shear rate and frequency via sheartests.

50

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Experimental
1. Material
The chemicals were Aldrich, Acros and Merck products, with analytical grade. The base fluid used was
corn oil with a density ρ= 0.936 g/cm3, viscosity η = 45 mPa s, dielectric constant ε = 3.34, and conductivity (E
= 1 kV/mm) σ = 4X10-11 S/m at 25 o C. The starch was (used as dispersed phase) produced by Acros Organics
products.
2. Modification Of Native Starch
Suspensions of the air-dried corn starch (50 g) in distilled water (500 mL) were supplemented with
ammonium vanadate (NH4 VO 3). A marine blue color was appeared. The pH of each suspension was adjusted to
9.0 by adding 10% NaOH(aq). Each suspension was continuously stirred for 48 h at a constant temperature of
35–40o C, under atmospheric conditions. After the reaction was completed, its color turned to yellowish. The
reaction mixture was filtered through a sintered glass and the filtrate washed with cold water to remove any
impurities present. The products were dried in desiccators over molecular sieves. The dried products were
dispersed in 0.1 M LiOH(aq) and the lithium-salt of partially modified starch was obtained. The final product
was also dried under the same conditions. The modification reaction mechanism of the native starch is given in
Scheme 1.

H
CH2OH

OH

NH4VO3
10% NaOH

O

H

H
H

H

O
H

pH: 9

OH

OH

LiOH

COOH

OH

H
OH

OH

OH

H

OH

Scheme 1. Oxidation reaction mechanism and chemical structure of modified starch.
3. Electrorheological Measurements
Suspensions of starch derivative particles were prepared in corn oil at a series of concentration (c = 5–
40% m/m). Suspensions were mechanically stirred before each measurement against sedimentation. Rheological
properties ofthe suspensions were determined with a Termo-Haake RS600 parallel plateElectro-rheometer
(Germany). The gap between the paralel plates was 1.0 mm and the diameters ofthe upper and lower plates were
35 mm. Allthe experiments were carried out at a controlled rate (CR) mode and at various temperatures (25–125
◦
C, with 25 ◦ C increments.). The voltage used in these experiments was also supplied by a 0–12.5 kV (with 0.5
kV increments) dc electric field generator (Fug Electronics,HCL 14, Germany), which enabled resistivity to be
created during the experiments.

Scheme 2. Mechanism of ER behavior.

Results and Discussion
1. Characterizations
Both native starch and modified starch were subjected to the following characterizations before ER
measurements to be carried out; The 13 C-N MR spectra were obtained in D MSO-d6 and CDCl3 at ambient
51

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

temperature using a 400 MHz Bruker DPX Avonce Nuclear Magnetic Resonance Spectrometer atthe Scientific
and Technical Research Council of Turkey (TUBITAK), Ankara Test and Analysis Laboratory (ATAL).
Modified starch showed similar 13 C-N MR spectratothat of the native starch,indicating that modification did not
have an effect on the molecular packing of the double helices in the crystalline regions but a new additional
signal of the carbonyl carbons in ester groups formed by the formulation at 176.15 ppm is clearly visible; some
differences exist also in C6 region.
The samples were scanned by Scanning electron micrographs (SE M) with an extra of ED A X analyzer (
Jeol JSM-6360 LV, Japan ).The study of EDAX analysis revealthat reactions of modification were completed
positively. EDAX analysis evaluated the extent of ionic types (Mi et al. 2003). Spectra (a) is shown energy
profiles coming from starch as oxygen and carbon but spectra (b) shows that one more energy profile became
the Li+.

(a)

(b)
Figure 1. EDAX analysis of energy positions (a) starch (b)modified starch.
Thermal analysis data of particles were obtained using a Setaram 8ET8 V8 Evolution 1760 model
thermogravimetric analyzer(TG A) inthe presence of nitrogen atmosphere up to 600o C, ata heating rate of 10 o C
/ min. The results from TGA are compared for starch and modified starch as a thermogram. Starch has two
decomposition stages with one beginning at 250 o C and another beginning at 450 o C. Thermal result of starch
and modified starch is similar. There aretwo weightlosses for samples consistat 245 o C and 440 o C. The weight
loss is approximately 100% for starch and 85% for modified starch at 600 o C. as a result, modified starch was
appeared about 15% end ofthe analysis( Vijaya et al. 2008).

Figure 2. Thermogravimetriccurve of (a) starch and (b) modified starch.

52

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

2. Electrorheology
2.1.Effect Of Dispersed Particle Concentration
Effect of dispersed particle concentration on viscosity of S and MS suspensions was investigated using
five different concentrations (5%–40% m/m) and results obtained are shown in Figure 3. Suspension
concentration exerts principle effect on the ER activity (Wu &amp; Shen 1996). The viscosities of both S and MS
suspensions were shown increase with rising particle concentration up to c = 30 (%, m/m) and then leveled off.
The maximum electric field induced viscosities (ηE) of Starch and Modified Starch were observed to be 1976
Pas and 3170 Pas,respectively under E = 2 kV/mm and shown a typical strong ER effect.

Figure 3. The change in viscosity with concentration, T = 20o C and E = 2 kV/mm.

2.2. Effect Of Electric Field Strength
Shear stress is one of the critical design parameter in ER phenomenon and has attracted considerable
attention both theoretically and experimentally. Figure 4 also shows the changes in the shear stress (τ) and
viscosity (� of S and MS in Corn Oil suspensions under various electric field values. Increase in electric field
causesincreasein τ and � Thisis due tothe formation of chain-like structure caused by the polarized particlesin
suspensions under E electric field strength ( Choi et al. 1997).

Figure 4. The change of viscosity and shear stress with electric field strength, T = 20o C, c =
30% m/m,�= 0.2 s−1
2.3.

Effect Of Temperature
The temperature dependence of the shear stress is shown in Figure5. The results were investigated at
53

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

temperatures between 25-80°C. It was observed that,for S/Corn Oil system, τ decreased with increasing T and a
shear stress loss of ∆τ = 118 Pa was measured. An interesting curve was obtained for MS/Corn Oil suspension,
showing a decrease in τ up to T = 50 °C, then gave an increase with rising T. This may be attributed to the loss
of moistureinthe MS/Corn Oilsuspension and the increased kinetic energy of Li+ ionsinsertedintothe structure
of starch withthe modification process, which gave risetoincreased mobility and polarizability ofthe suspended
modified starch. Although shear stress changes withincreasing temperature reported inthe literature ( Unal et al.
2006;Liu &amp; Shaw 2001 )

Figure 5. Effect oftemperature on the shear stress for starch and modified starch suspension, c
=30% m/m, � = 0.2 s–1, E = 2.0 kV/mm.
2.4. Effect of frequency
The effect of frequency (f) on the shear modulus (G’) for S and MS suspension is shown Fig.6. Up to f =
50 Hz, viscoelastic properties of both Starch and Modified Starch were not much changed. After f = 50 Hz, a
sharpincrease was observed for each sample as atypical characteristic of a viscoelastic material, which indicates
a vibration damping property. The increase in G’ with increasing external f was also reported in the literature(
Zhao et al. 2008).

Figure 6. The change of Gı with frequency, c= 30% m/m, T=20o C, γ = 10 Pa, E=2kV/mm .
2.5. Sedimentation stability
Sedimentation ratio curves as a function of time for S and M S suspension at 20% concentration at room
temperature are shown in figure 7 that, prepared polymer suspensions exhibited colloidal stability against
sedimentation, which the sedimentation ratio is 58 % end of 30 days. The sedimentation stability of modified
starch suspension is betterthan that of starch. Thisis possibly because starch is easily congregation foritsflakelike structure, greatly modifies its dispersal ability so as to increase its anti-sedimentation ability (Xiang &amp; Zhao
2006).

54

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Figure 7. Sedimentation stability of starch and modified starch depend on time, c = 20% m/m, T= 20o C

Conclusions
In presentstudy we have shown thatthe native starch can successfully be partially modified and converted to ER
active Li salt.
The results showed that, S and MS suspension exhibited ER behavior under electric field strength. The
conductivities of S (10-9 S/m) and MS (10-5 S/m) were in the range of ER active materials. Sedimentation
stabilities of S and MS suspension were found to be 58% and suitable for potential industrial applications.
Optimum particle concentration of the both suspensions was determined to be 30% by mass. The shear stresses
of the both materials were shown a linear increase with increasing E. S and MS suspension showed Newtonian
behavior when E = 0 kV and Bingham behavior when E ≠ 0 kV. The viscosities of S and MS suspension
decreased with increasing shear rate and given a typical of viscoelastic behavior by means of shear thinning.
Electric field induced viscosities of the both materials were observed to increase linearly. Temperature was
observed to be effective on the both materials and caused shear stress losses on S and shear stress increase on
M S, especially at elevated temperatures. Our results revealed that, wet-base ER active S/corn oil suspension
system become dry-base ER active after the modification, and shown 3 times stronger ER strength; which is
extremely important from industrial point of view.

Acknowledgements
We are grateful for financial support by The Scientific and Technical Research Council of Turkey (Project no: 107T628 )

References
Block H. and Kelly J.P. (1988). Electro-rheology. Journal of Physics D: Applied Physics, 21, 1661-1667.
Choi, H. J., M. S. Cho, and M. S. Jhon. (1997). Electrorheological properties of poly(acene quinone) radical suspensions.
Polym. Adv. Tech. 8, 697–700.
F.-L. Mi, H.-W. Sung, C.-C. Su, C.-K. Peng (2003). Synthesis and characterization of biodegradable TPP/genipin cocrosslinked chitosan gel beads. Polymer 44 6521-6530.
Kato Y., Matsuo R., Isogai A. (2003). Oxidation process of water-soluble starch in TEMPO-mediated system. Carbohydrate
Polymers, 5, 1 69–75.
Liu, B.; Shaw, M. T. (2001). Electrorheology of filled silicone elastomers. J. Rheol., 45, 641-657.
Ogungbenle H. N. (2007). Effect of chemical modification in starch of some legume flours. Pakistan Journal of Nutrition, 6
(2), 167-171.
Parthasarathy, M. and Klingenberg, D.J. (1996). Electrorheology : mechanisms and models. Mater. Sci. Eng., R17:57–103.

55

�1st International Syposium on Sustainable Development, June 9-10 2009, Sarajevo

Tao, R., Zhang, J., Shiroyanagi, Y., Tang, X. and Zhang, X. (2001). Electrorheological Fluidsunder Shear. Int. J. Mod. Phys.
B, 15:918–929.
Unal, H. I.; Agirbas, O.; Yilmaz, H. (2006). Electrorheological properties of poly(Li-2-hydroxyethylmethacrylate)
suspensions Coll. and Surf. A: Physicochem. Eng. Asp., 274, 77-84.
Winslow, W.. M. (1953). Field Controlled Hydraulic Device. U.S., Pat. No: 2661596.
Wu, S. and Shen, J., 1996. Electrorheological properties of chitin suspensions. J.Appl.Polymer Sci., 60:2159-2164.
Xiang, L.; Zhao, X. (2006). Preparation of montmorillonite/titania nanocomposite and enhanced electrorheological activity.
J. Coll. Inter. Sci., 296, 131–140.
Vijaya, Y., Popuri, S.R., Boddu, V.M. and Krishnaiah, A. (2008), Modified chitosan and calcium alginate biopolymer
sorbents for removal of nickel(II) through adsorption. Carbohydrate Polymers, 72 (2), 261-271.
Zhao,Y.; Wang, B.; Ding, C.; Zhao, X. (2008). Nano Titanium Oxide Organosol: Synthesis, Characterization, and
Application for Electrorheological Fluid. J.Appl.Polym.Sci.,110, 3763-3769.

56

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Tilki, Tahir
Çabuk, Mehmet
Ulutürk, Mehmet</text>
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                <text>In this study an electrorheological (ER) effect of the suspensions containing both  native starch (S) and modified starch (MS) particles in corn oil under various externally  applied electric field strengths are reported. To prepare an ER active material, biodegradable  starch was partially hydrolyzed and converted to its Li+ salt. Both biopolymers were  characterized by 13C-NMR, Scanning Electron Microscopy (SEM), Energy Dispersive  Spectroscopy (EDS) and Thermogravimetric Analysis (TGA). Suspensions of Starch and  modified Starch particles were prepared in corn oil at concentrations ranging from 5-40% by  mass. Rheological measurements were carried out via a rotational rheometer with a high  voltage generator to investigate the effects of electric field strength and particle concentration  on ER performance. Effects of various parameters such as sedimentation stability, dispersed  particle concentration, electric field strength, shear rate, frequency and temperature onto ER  activity were investigated. Modified starch suspension was accepted as a biodegradable  anhydrous ER fluid.</text>
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                    <text>3rd International Symposium on Sustainable Development, May 31 - June 01 2012,
Sarajevo

Biodiversity for sustinable agriculture: Common bean genetic diversity
Nemli Seda , Tanyolac M.Bahattin
Department of Bioengineering, Ege University Izmir, Turkey
E-mail: eryilmazseda@hotmail.com
Abstract
The immense genetic diversity of genotypes of crops is the most directly useful
and economically valuable part of biodiversity. Genetic diversity is a key factor
enabling adaptation, and therefore survival, of natural populations in changing
environments. And also genetic diversity is essential tool for any breeding
program. Leguminous plants, after cereals, include the most economically
important species of agricultural interest, considering area cultivated and total
production. Among the grain legumes,soybean, peanuts and common beans are
the most important commercial crops. Common bean (Phaseolus vulgaris L.) and
its related species are important protein sources for the world population. In 2006,
the bean industry was valued at $1.2 billion and $180 million in USA and Canada,
respectively. The average yield of bean varieties cropped in developing countries
is still very low. The analysis of genetic diversity and relationships among
different individuals, species, or populations is an important topic in genetics and
plant breeding. Since morphological charactersin plants effect from environmental
condition, DNA markers provide the most precise tool for measuring genetic
relationships, because they are potentially unlimited in number Among the DNA
techniques, Amplified Fragment Length Polymorphism (AFLP) is intense and
provides a powerful tool for genotype identification, phylogeny The AFLP
technique is based on the amplification of short restriction endonuclease digested
genomic DNA fragments onto which adaptors have been ligated at both ends.For
this purpose common bean genomes were analyzed using AFLP fingerprinting to
examine the genetic variation within and among genotypes.. A total of 86
common bean accessions collected from different countries were used in this
study. For the AFLP analysis,12 primer combination were used. Acrylamide gels
from primer combination were scored according to presence (1) or absence (0) of
amplified fragments.The molecular data were analyzed using the NTSYs
program. A dendrogram was generated using JMP software (version 3.1, SAS
Institute, 1995) based on the UPGMA (unweighted pair-group method of
arithmetic average). The eightysix genotypes represented seven different clusters
as revealed by AFLP primers. The minimum variation was detected between
sample 20, Turkey and sample 24, Turkey (GD = 0.09), and the maximum was
found between samples 34 and 28 (GD = 0.80).
Keywords: Biodiversity, Common bean, AFLP

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�3rd International Symposium on Sustainable Development, May 31 - June 01 2012,
Sarajevo

1.INTRODUCTION
Common bean (Phaseolus vulgaris) is an important economic food legume and is
widely grown in North, Middle and South America, Eastern Africa, Europe and
China. The bean seed is rich in protein, fiber, carbohydrates, minerals and
vitamins. Beans provide a good source of protein for rural and urban poor in many
developing countries. (Pachico,1989) Common bean originated and was
domesticated in the New World and has two major gene pools, The Andean and
The Mesoamerican, based on their centers of origin in South and Central America,
respectively. (gebts and debouck 1991). Common bean is a diploid (2n=22)
legume with a relatively small genome. A few species show an aneuploid
reduction to 20 chromosomes. The genome of common bean is one of the smallest
in the legume family at 625 Mbp per haploid genome.
DNA markers provide the most precise tool for measuring genetic relationships,
because they are potentially unlimited in number and are not affected by the
environment (Maciel et al., 2003). During the last two decades, DNA-based
molecular markers have been extensively used for a variety of purposes in many
animal and plant systems. Among the DNA techniques, amplified fragment length
polymorphism (AFLP) is robust and provides a powerful tool for studies of
genetic variation, genotype identification, phylogeny (Kafkas 2006), and
molecular linkage mapping (Hurtado and Ramstedt 2002). The AFLP analysis
provides a higher level of polymorphism than random amplified polymorphism
DNA (RAPD) or restriction fragment length polymorphism (RFLP) (Pejic et al.,
1998).Amplified fragment length polymorphisms are based on selective and
semiquantitative PCR amplification of restriction fragments digested from total
genomic DNA. Fragments generated by digestion of DNA with a combination of
two restriction endonucleases are linked to suitable adapters and, thereafter, linked
DNA fragments are amplified selectively with different primer combinations (Vos
et al., 1995). The RFLPs (Becerra-Vela´ squez and Gepts, 1994; Duarte et al.,
1999; Metais et al., 2000; Maciel et al., 2001), RAPDs (Haley et al., 1994;
Nienhuis et al., 1995; Moura-Duarte et al., 1999; Beebe et al. 2000; Metais et al.,
2000), inter simple sequence repeats (ISSRs) (Rosales-Serna et al., 2003), and
more recently, AFLPs (Tohme et al., 1996; Caicedo et al., 1999; Maciel et al.,
2003; Pallottiniet al., 2004) have been successfully used for the description of
diversity in common bean.
In the present paper, AFLP analysis was used to investigate genetic variability at
the DNA level in 86 common bean collected from different countries.
2.MATERIAL-METOD
A total of 86 common bean accessions were used in this study (Table 1),
including 45 Turkey accessions, 5 Netherlands accessions, 4 Germany
accessions,, 3 China accessions, 17 England accessions,11 USA accessions, 1
Bulgaria accessions.
Table 1: A list of 86 P. vulgaris accessions used in AFLP analysis

23

�3rd International Symposium on Sustainable Development, May 31 - June 01 2012,
Sarajevo

Genotip Number

Genotip Number

Location

1

Turkey

20

Turkey

2

Netherlands

21

Turkey

3

Germany

22

Turkey

4

Germany

23

Turkey

5

Germany

24

Turkey

6

Turkey

25

Turkey

7

Netherlands

26

Turkey

8

Netherlands

27

Turkey

9

Netherlands

28

USA

10

Turkey

29

USA

11

Turkey

30

USA

12

Turkey

31

England

13

China

32

England

14

China

33

England

15

Turkey

34

England

16

Turkey

35

England

17

Turkey

36

England

18

Turkey

37

England

19

Turkey

38

England

39

England

63

Turkey

40

England

64

Turkey

41

England

65

USA

42

Turkey

66

England

43

Turkey

67

Turkey

44

Turkey

68

Turkey

45

Turkey

69

Turkey

46

Turkey

70

Turkey

47

Turkey

71

Turkey

48

Turkey

72

Turkey

49

Netherlands

73

India

50

USA

74

USA

51

USA

75

England

52

USA

76

England

53

Turkey

77

England

54

Turkey

78

England

24

Location

�3rd International Symposium on Sustainable Development, May 31 - June 01 2012,
Sarajevo
55

Turkey

79

England

56

Turkey

80

Turkey

57

Bulgaria

81

Turkey

58

Turkey

82

USA

59

Turkey

83

USA

60

China

84

USA

61

Turkey

85

Turkey

62

Turkey

86

Turkey

2.1. DNA extraction
Young leaves from plants collected were harvested and placed in an aluminum
foil and kept in liquid nitrogen. Leaf tissue from each individual was ground to a
fine powder in liquid nitrogen with a mortar and pestle. Total genomic DNA was
extracted following the procedure as described by Doyle &amp; Doyle. The purified
DNA was quantified with ND-1000 (Nanodrop, Thermo Co.) spectrophotometer.
The DNA quality was also assessed and the concentration determined by
visualization under UV light, on 1% agarose gels in TAE (Tris-acetic acid-EDTA)
buffer and then agarose gel–stained.
2.2. AFLP analysis
Li-Cor AFLP Kit (catalog number: 830-06195 AFLP 2-DYE Selective
Amplification Kit) was used according to the manufacturer’s recommendations.
According to the kit, 200 ng pure DNA was digested with EcoR I and Mse I
restriction enzymes. The enzyme adaptors were ligate to the digested DNA.
Selective amplification of restriction fragments was conducted using primers with
three selective nucleotide extensions, RD700/800 dyes. Twenty-two primer
combinations were used to screen for polymorphism among samples.
Amplification products were resolved on 8% acrylamide gel in 1 9 TBE (Trisborate-EDTA) buffer under 1500 V and 40 mA conditions. Li-Cor 4300s DNA
Analyzer machine was used to image, analyze, and screen the bands profile
2.3. Band scoring and data analysis
Each polymorphic AFLP bands were scored manually as present(1) or absent (0)
across all 33 genotypes for each primer-paircombination and the values were used
to compile binary datamatrix.Onlybright, clearly distinguishable bands were
usedin the genetic analysis. Genetic disimilarity estimates were calculated using
Jaccard’scoefficient of disimilarity (Jaccard, 1908). JMP software (version 3.1,
SAS Institute, 1995) was used to calculate distances and a dendrogram was
generated. The accessions were grouped by cluster analysis using the unweighted
pair-group method (UPGMA).PIC (polymorphism information content) was
calculated from the 1/0 datum matrix. The PIC value refers to the relative value of
each marker with respect to the amount of polymorphism it exhibits. PIC was also
calculated by 1- Σpi2: , where i= indiviual p and pi = the allele frequencies of the
loci. (De Riek,2001).
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3.Results and Discussion
3.1.AFLP Marker analysis
The size of bands scored in all the 44 accessions were in the range of 50–450 bp.
86 genotypes were analyzed by AFLP-PCR using 13 selective primer
combinations as listed in Table 2. A total of 245 polymorphic bands were
generated, and the number of polymorphic bands per each primer combination
ranged from 4 (MCAG-EAGG) to 32 (MCAC-EACA) with an average number of
18.8 bands. A representative gel obtained from the primer combination MCAA/E-ACG ( 700 ) is presented in Fig. 1. Polymorphic bands from 86 DNA
samples, amplified by 13 AFLP primer combinations, are also listed in Table 2 .
The maximum number of polymorphic bands obtained per primer confirmed the
high polymorphism determination efficiency of AFLPs in comparison with other
marker systems used for common bean such as RAPD (Haley et al., 1994; Maciel
et al., 2001; Tiwari et al., 2005 ) and RFLP ( Sonnante et al., 1994; Stockton and
Gepts, 2004 ).
Table 2 Polymorphic bands from 86 DNA samples, amplified by 13 AFLP primer
combinations
Primer Number

Primer Pairs

1

MCAC-EACA

No. of
bands
32

2

MCAA-EAAC

25

3

MCAA-EACA

15

4

MCTC-EAAG

15

5

MCAG-EACA

27

6

MCAT-EACA

14

7

MCTG-EACA

25

8

MCAC-EAGC

23

9

MCAA-EACG

12

10

MCAA-EAGC

15

11

MCTC-EACT

20

12

MCAG-EAGG

4

13

MCAT-EAGG

18

TOTAL

245

polymorphic

3.2. Genetic diversity analysis
To determine the genetic relationships among the 86 genotypes, the scoring data
(1 for presence and 0 for absence) resulting from the 13 primer combinations were
used to compute the dissimilarity matrix according to Jaccard (1908). This
dissimilarity matrix was used to generate a dendrogram using the UPGMA
method. The 86 genotypes represented seven clades as revealed by AFLP primers
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(Fig.2). Group I was the largest one containing 44 accessions that included twenty
five Turkey varieties and seven England land races.
As shown in Table 3, the minimum variation was detected between sample 20
Turkey, and sample 24 Turkey (GD= 0,0094) and the maximum was found
between sample 34 England and samples 28 USA (GD = 0,80).

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Fig.1. AFLP pattern of 1-48 common bean DNA samples.
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Fig.1. AFLP pattern of 49-86 common bean DNA samples
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Fig. 2 Dendrogram resulting from UPGMA cluster analysis of 86 common bean
genotypes based on data derived from 13 AFLP primer combinations
Studies of genetic diversity using molecular marker and DNA sequencing
techniques are necessary if we are to understand a population’s genetic structure
and phylogeography, identify the center of genetic diversity of a species, and
develop effective conservation strategies (Gao, 2003).PCR-based molecular
marker techniques play an important role in the analysis of genetic diversity and
relatedness for crop plants, where most of the species involved are almost
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unknown at the genetic level (Ilgin et al. 2009). In this study, the AFLP method
generated large numbers of polymorphic bands. We detected a total of 284
polymorphic bands, and the number of polymorphic bands for each primer
combination ranged from from 4 (MCAG-EAGG) to 32 (MCAC-EACA) with an
average number of 18.8 bands. Our study shows that AFLP provided a large
number of polymorphic bands and a large amount of genotypic information. Grilli
Caiola et al. (2004) found the number of polymorphic bands per primer to be 2.01
in their RAPD study.
In conclusion, we have shown that AFLP profiling techniques may provide useful
information on the level of polymorphism and diversity in common bean, showing
their utility in the characterization of germplasm accessions. AFLP marker
systems have comparable accuracy in grouping genotypes of this species
according
to
their
gene
pool
of
origin

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Table
33

3

Genetic

distance

matrix

computed

according

to

Jaccard

(1908)’s

coefficient

based

on

AFLP

data

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REFERENCES
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Kafkas S (2006) Phylogenetic analysis of the genus Pistaciaby AFLP markers. Plant Syst
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MACIEL FL, E CHEVERRIGARAY S, GERALD LTS, and G RAZZIOTIN FG. 2003.
Genetic relationships and diversity among Brazilian cultivars and landraces of common beans
(Phaseolus vulgaris L.) revealed by AFLP markers. Genetic Resources and Crop Evolution
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Metais, I., C. Aubry, B. Hamon, R. Jalouzot, and D. Peltier. 2000. Description and analysis of
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Maciel, F.l., Gerald, L.T.S., Echeverrigaray, S., 2001. Random amplified poly-morphic DNA
(RAPD) markers variability among cultivars and landraces of common bean (P. vulgaris L.)
of South Brazil. Euphytica 120, 257–263
Metais, I., C. Aubry, B. Hamon, R. Jalouzot, and D. Peltier. 2000. Description and analysis of
genetic diversity between commercial bean lines (Phaseolus vulgarisL.). Theor. Appl. Genet.
101:1207–1214

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Moura-Duarte, J., J. Bosco dos Santos, and L. Cunha Melo. 1999. Genetic divergence among
common bean cultivars from different races based on RAPD markers. Genet. Mol. Biol.
22:419–426.
Nienhuis, J., J. Tivang, P. Skroch, and J.B. Santos. 1995. Genetic relationships among
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PACHICO, D.1989 Trends in world common bean production, pp. 1-8 in Bean
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Pallottini, L., E. Garcia, J. Kami, G. Barcaccia, and P. Gepts. 2004. The genetic anatomy of a
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(1998). Comparative analysis of genetic similarity among maize inbred lines detected by
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Rosales-Serna R., Hernandez-Delgado S., Gonzalez-Paz M., Acosta-Gallegos J.A.,
Mayek-Perez N., 2005, Genetic relationships and diversity revealed by AFLP markers
in Mexican common bean bred cultivars, Crop Sci. 45: 1951- 1957.
Sonnante, G., Stockton, T., Nodari, R.O., Becerra, V., Gepts, P., 1994. Evolutionof genetic
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Genet. 89, 629–635.
Stockton, T., Gepts, P., 2004. Identification of DNA probes that reveal poly-morphisms
among closely related Phaseolus vulgaris lines. Euphytica 76,177–183
Tiwari, M., Singh, N., Rathore, M., Kumar, N., 2005. RAPD markers in the analysis of
genetic diversity among common bean germplasm from Central Himalaya. Genet. Res. Crop
Evol. 52, 315–324
Tohme, J., Gonza ´ lez, O.D., Beebe, S., Duque, C., 1996. AFLP analysis of gene pools of a
wild bean core collection. Crop Sci. 36, 1375–1384
Vos P., Hogers R., Bleeker M., Relijans M., Lee T., Hornes M., Frijers A., Pot J.,Peleman J.,
Kuiper M., Zabeau M., 1995, AFLP: A new technique for DNA fingerprinting, Nucleic
Acids Research 23: 4407 – 4414.

35

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                <text>The immense genetic diversity of genotypes of crops is the most directly useful  and economically valuable part of biodiversity. Genetic diversity is a key factor  enabling adaptation, and therefore survival, of natural populations in changing  environments. And also genetic diversity is essential tool for any breeding  program. Leguminous plants, after cereals, include the most economically  important species of agricultural interest, considering area cultivated and total  production. Among the grain legumes,soybean, peanuts and common beans are  the most important commercial crops. Common bean (Phaseolus vulgaris L.) and  its related species are important protein sources for the world population. In 2006,  the bean industry was valued at $1.2 billion and $180 million in USA and Canada,  respectively. The average yield of bean varieties cropped in developing countries  is still very low. The analysis of genetic diversity and relationships among  different individuals, species, or populations is an important topic in genetics and  plant breeding. Since morphological charactersin plants effect from environmental  condition, DNA markers provide the most precise tool for measuring genetic  relationships, because they are potentially unlimited in number Among the DNA  techniques, Amplified Fragment Length Polymorphism (AFLP) is intense and  provides a powerful tool for genotype identification, phylogeny The AFLP  technique is based on the amplification of short restriction endonuclease digested  genomic DNA fragments onto which adaptors have been ligated at both ends.For  this purpose common bean genomes were analyzed using AFLP fingerprinting to  examine the genetic variation within and among genotypes.. A total of 86  common bean accessions collected from different countries were used in this  study. For the AFLP analysis,12 primer combination were used. Acrylamide gels  from primer combination were scored according to presence (1) or absence (0) of  amplified fragments.The molecular data were analyzed using the NTSYs  program. A dendrogram was generated using JMP software (version 3.1, SAS  Institute, 1995) based on the UPGMA (unweighted pair-group method of  arithmetic average). The eightysix genotypes represented seven different clusters  as revealed by AFLP primers. The minimum variation was detected between  sample 20, Turkey and sample 24, Turkey (GD = 0.09), and the maximum was  found between samples 34 and 28 (GD = 0.80).  Keywords: Biodiversity, Common bean, AFLP</text>
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                    <text>PROCEEDINGS

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ISSD 2014

BIOINFORMATICS TOOLS FOR GENE LIST ANALYSIS
Imer Muhović*, Larisa Bešić, Adna Ašić, Serkan Dogan, Osman Doluca
International Burch University, Department of Genetics and Bioengineering
*Corresponding author: imer91@gmail.com

ABSTRACT
The advent of the era of high-throughput sequencing has brought a wealth of biological data
to researchers, but the vastness of the available data has created a demand for tools that could
be used to analyze it. One such type of tools are gene set analysis tools, that take a list of
genes that were found to be up or down regulated during an experiment. For the sake of
simplicity this review focuses solely on freely available web based tools that have been
published or have undergone significant updates in the last 5 years. This review is meant to
assist tool developers to better understand the needs of the end-users, and in it we look at the
currently available gene list analysis tools, their strengths and weaknesses, and offer
suggestions for their improvement.
Key words: microarray, gene set, systems biology, enrichment, gene ontology

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INTRODUCTION
Many modern molecular biology experiments result in the production of a list of important
molecules. These molecules may be up/down regulated genes obtained from microarray or
RNA-seq experiments, or a list of SNP – containing genes. The issue that is created by such
lists is in the length of them. Your average co-expression experiment results in a list of
hundreds or thousands of „interesting“ genes, and determining the biological significance of
such a list is very difficult, as it requires either significant knowledge about the metabolic
process being investigated, or it requires the researcher to conduct an extensive literature
search to answer questions such as „What does this gene do? Where is it expressed? Does it
interact with other genes? Is it linked to a particular disorder?“ Manually performing such a
task would be time consuming and tedious, costing the researcher precious time and resources.
To save the time and sanity of researchers undertaking such experiments various tools for
annotation enrichment (also known as pathway analysis) have been developed. These tools
map genes and proteins to their associated biological annotations (gene Ontology terms, or
pathway membership) and then compare the frequency of such terms in the given gene list,
with a background list to identify the over expressed, or under expressed terms in the list,
following the assumption that such terms are important to the metabolic process that is being
studied. As an example, imagine that in a list obtained by a microarray experiment, 20% of
the genes are tumor suppressor genes, while in a „normal“ tissue only 5% are. By using
standard statistical method we can determine that tumor suppressor genes are enriched in this
list, and therefore play an important role in the biological process we are investigating.
Most review articles in this field divide tools according to the statistical method that they use.
There are three most common ones: Singular Enrichment Analysis (SEA), Gene set
enrichment analysis (GSEA), and modular enrichment analysis (MEA).(Huang, Sherman, &amp;
Lempicki, 2009)
SEA – compares annotation terms one by one with a list of interesting genes for enrichment.
A p-value for enrichment is obtained by comparing the frequency of an annotation term with
the frequency of that term appearing by chance. All terms that are beyond the cut-off value
are said to be enriched. The drawback of this approach is that it ignores the hierarchical
relationship between GO terms, and results in large lists of enriched terms due to the fact that
it treats similar terms as though they were unique.
GSEA – these methods take as an input not only the list of interesting (up or down regulated
genes) but all of the genes obtained by an experiment. It functions best in experiments in
which two tissue types are compared, because it requires a quantitative value (change in
differential expression) for each gene in order to rank them by significant enrichment. A so
called maximum enrichment score (MES) is calculated from the ranked list of genes in an
annotation category, and enrichment p-values are determined by comparing the MES of the
term to a randomly generated MES distribution. To put it in simpler terms, GSEA determines
if genes that share a biological annotation (for example belong to the same pathway) are
randomly distributed in the gene list (and therefore not significantly attributing to a change in
phenotype), or if they are overrepresented in a part of the list (top or bottom, according to fold
change, or differential expression), which would indicate that they play a role in the pathway
that is being studied.(Subramanian et al., 2005)

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MEA – seeks to use the relationships between different annotation terms to remove the
redundancy, or underrepresentation of important terms that may be caused by SEA and GSEA
methods. They seek to improve sensitivity and specificity by using composite annotation
terms. The issue with them may be found if they use only a single information source, usually
GO.
Most current tools seem to have switched to using MEA as opposed to SEA, as the link
between different levels of annotation has become clearer, and the integration of different
databases has become easier.
Molecular interaction network present the easiest, most intuitive way of representing such
large and complex datasets, and several curated databases already exist that link all known
binary protein interactions, as well as enrichment data, whether extracted from literature of
HT experiments.

DATABASES
To better study and keep track of all known pathway data several databases have been
constructed. A key difference between databases lays in their data acquisition methods. We
can separate curated databases from automatic ones; by the way the data are added in the
database, either by trained experts or via automatic methods.
Each has its own advantages, shallow curated databases have larger network coverage, while
curated ones have higher quality of data, but still data capture errors such as false positives in
the data still can't be excluded.
Another difference is the data source, as some databases take their data from peer reviewed
literature, while secondary databases look to integrate primary databases and thus become a
one-stop shop for all your protein interaction needs.
One we have a list of PPI interactions we need methods to visualize this data and extract the
useful data from them. Due to the large number of PPIs in a possible network the results
usually look like a giant ball of yarn that is difficult to interpret so visualization techniques
offered by the tool play an important role.

H-InvDB (http://www.h-invitational.jp/) is a human gene database first published in 2004.It
contains 244,709 human DNA sequences, and provides the user with a broad variety of tools
for genome analysis. According to the authors analysis 19,309 annotated genes were found to
be specific to H-InvDB and not to be found in RefSeq or Ensembl.(Takeda et al., 2012)

PINA (The Protein Interaction Network Analysis) is an integrative resource that combines
data from six manually curated public databases, and offers a set of tools for network
construction, filtering, analysis and visualization. It offers protein-protein interaction (PPI)
network construction, by clustering approaches from an interactome constructed for six
available model organisms. All identified terms are annotated using GO terms, KEGG
pathways, Pfam domains and MsigDB data.(Cowley et al., 2011)

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STRING is a database that seeks to provide biologists with a global perspective on as many
interactions from as many organisms as possible. It scores both known and predicted
interactions, and offers the users tools for statistical analysis and enrichment analysis of
queried terms.(Franceschini et al., 2012)

GeneSigDB (http://www.genesigdb.org or http://compbio.dfci.harvard.edu/genesigdb/) is a
database of gene signatures collected manually from published literature, focusing on cancer
studies, as well as immune cells, stem cells and lung disease. It is an excellent tool for
prognostic analysis of cancer and related diseases, or use as an gene set enrichment tool. The
visualization of enriched terms is performed via heatmap that provides us with publicationquality images, and GeneSigDB allows us to download data in .gmt file format that can be
later used for additional gene set enrichment analysis.(Culhane et al., 2011)

IntAct is an open-source, molecular interaction database that contains data manually curated
from literature or raw depositions. It has two levels of curation, and contains around 275 000
interactions, collected from over 5000 publications. A recent upgrade has brought it a visual
display of data, which are downloadable in multiple formats.(Kerrien et al., 2011)

The MetaCyc database (http://metacyc.org/) is a freely accessible resource that contains data
from metabolic pathways and enzymes from all domains of life. MetaCyc pathway data is
obtained experimental and small-molecule metabolic pathways and are curated from the
primary scientific literature. Currently there are more than 1800 pathways derived from over
30 000 publications, making MetaCyc the largest curated collection of metabolic pathways.
(Caspi et al., 2011)

IPAVS (Integrated Pathway Resources, Analysis and Visualization System) is a manually
curated database of known protein pathways. It combines several publicly available pathway
databases, and provides the tools to filter search and analyze biological pathways. It is freely
available, interactive and integrated pathway database which is designed to address the needs
of bench biologists, computational biologists and physicians. It offers biologists a single point
of access to several manually curated pathway resources, in addition to its own expert-curated
pathways that are in standard format. (Sreenivasaiah, Rani, Cayetano, Arul, &amp; Kim, 2011)

NETWORK CLUSTERING
Proteins are usually represented as nodes, and interactions as vertices, giving us a ball and
stick model of interactions. One of the main aims of pathway analysis strategies is to discover
clusters of proteins that perform a similar function. This is mostly done by network topology
as highly interconnected nodes form clusters, and the basic assumption is that clusters identify
proteins that share a common function. Issues that may arise from analyzing pathways in this
fashion is that large networks tend to resemble balls of yarn, due to having hundreds of nodes
and vertices, thus making the inference of biological data from them very hard, and confusing.

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NETWORK ANNOTATION
Annotation of nodes and edges is usually needed to make some sense of the information
found in PPINs. The annotations may include info about the method by which the interaction
was detected, some confidence scores and similar parameters. Gene Ontology project is the
most widely used source of extra information that can be used in network analysis. It's creates
a hierarchical list of terms called Ontologies that covers three independent biological domains:
1 - Cellular Components 2 - Biological Processes 3- Molecular Function.(Ashburner et al.,
2000)
This enables us to highlight the proteins that perform the same function, thus allowing a
functional representation of a network, usually GO is combined with cluster detection to
provide greater interpretation of a network.

GENE LIST ANALYSIS TOOLS
Enrichr: interactive and collaborative HTML5 gene list enrichment analysis tool
Enrichr is a web based tool that takes in as an input a list of differentially expressed genes,
and produces lists of enriched terms. The authors have solved the issues that arise when using
only one source of enrichment data, by using 35 gene set libraries split into six groups, with
each containing different data about different enrichment terms. It uses
1) ChEA (The ChIP-x Enrichment Analysis Database), it’s own resource of putative
transcription factor targets created from publications that report experiments of profiling
mammalian DNA binding transcription factors. ;
2) position weight matrices (PWMs) from TRANSFAC and JASPAR ; that were used to scan
all promoter regions (-2000 to +500 from the start of transcription) of all human genes, they
kept all 100% matches to the consensus sequence between a factor and a target gene.
3) target genes generated from PMWs downloaded from the UCSC genome browser , because
it produces different results compared to the ones mentioned above
4) transcription factor targets extracted from the ENCODE project . In addition, the two other
gene-set libraries in the transcription category are gene sets associated with:
5) histone modifications extracted from the Roadmap Epigenomics Project ; and
6) microRNAs targets computationally predicted by TargetScan .
It provides three different statistical measures of the results, of which one is the Fischer exact
test, the other an in-house variation and last a combination of the two. The authors performed
a quality evaluation of these methods in their original paper. Enrichr provides many different
options for visualizing the data, one of which is a grid of squares, with the most enriched
elements being colored more brightly when compared to the rest. It also allows the
visualization in the form of a list of enriched terms, bar graph, network and table.
An advantage of Enrichr over other programs of the same type is it’s availability and modern
design, it’s available as a mobile application for smartphones and tablets, and the webinterface is clear, and intuitive. The authors tested the software by comparing nine cancer cell
lines and found an upregulation in the PRC2 polycomb group target genes.(Chen et al., 2013)

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Network2Canvas is a network visualization program that makes it easier to visualize large
protein-protein interaction networks, and enrichment terms. The most common issue with
using ball and stick models of PPI networks is that larger networks tend to end up looking like
balls of yarn, making it very difficult to visually analyze the properties of the network.
Network2Canvas works around this issue by placing the nodes on a square toroidal canvas,
the nodes are then clustered on the canvas via simulated annealing in order to have the
maximum number of local connections, and their brightness is set to correspond to the local
fitness of the node.
This software takes as input a list of differentially expressed genes, or a list of drugs and
outputs a set of enriched terms including drug side effects, common pathways etc. The
website is accompanied by a video tutorial on how to use the program, and offers a variety of
possible canvases, for example Kinase Enrichment Analysis or KEGG pathways, and more.
Overall N2C is a very useful and intuitive tool for molecular data analysis, especially for
larger lists of genes or drugs.(Tan, Chen, Dannenfelser, Clark, &amp; Ma’ayan, 2013)
Genes2FAN: Proteins interaction studies are mostly done by analyzing binary protein
interactions, but these are not the only ways two genes, or their protein products can interact.
The authors of this program used knowledge on the shared properties of genes from diverse
sources to create functional association networks (FANs), to allow researchers to identify
additional interactions between groups of genes, which are not immediately obvious from PPI
networks.
G2F uses a database of 14 FANs, and large scale PPI networks to create subnetworks that can
connect lists of human and mouse genes. Lists of genes are taken as an input to produce a
subnetwork, using a ranked list of intermediate genes that connect the genes from the queried
list. This web application offers a powerful new approach to analyzing gene associations, as it
can find the intermediate parts of a pathway, and thus allow us to observe a greater, clearer
picture of a molecular process.(Dannenfelser, Clark, &amp; Ma’ayan, 2012)
Sets2Network is a tool created to allow the creation of interaction networks by analyzing the
co-occurrence of entities in related sets. It gives us a general method for inferring networks by
repeated observation of sets of related terms. It interprets the frequency of the occurrence of
the link as the probability that it is present in the real-world network.
This tool has usages outside the realm of biology, as it can create a network from any file
given in the GMT (Gene Matrix Transpose) format, for example it can be used to create a
network of co-authorship by taking in a GMT file of publications and authors, or predict
direct PPI from HT MS data. (Clark, Dannenfelser, Tan, Komosinski, &amp; Ma’ayan, 2012, p. 2)
S2N can output the data in various formats, so subsequent analysis can be performed on the
data, using additional visualization tools such as yEd.
DAVID (Database for Annotation, Visualization and Integrated Discovery, available at
http://david.abcc.ncifcrf.gov/) is one of the oldest and most well-known web-based
bioinformatics resources for the functional interpretation of gene/protein lists. It has been
cited over 6000 times since its initial publication. It takes inputs in list form and allows the
user to perform gene-term enrichment analysis, visualization of the gene-term relationships,
search for related genes, pathway analysis and much more. They have recently published
DAVID-WS (Web service) an API (application programming interface) which allows for the
programmatic automation of requests to DAVID, and thus the easier automation of tasks,
without the need for human interactions.(Jiao et al., 2012)

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EnrichNet is a web-based tool created in order to address the current limitations of gene set
analysis tools. Most GSA tools use the over-representation-based enrichment analysis method
which uses the overrepresentation of a gene list of interest in a reference list via a statistical
test (usually Fisher’s exact test) as proof of biological significance. The issue with this
approach is that it low power of discrimination, and significant variance with changes in
overlap size, among others. EnrichNet uses an graph-based statistic approach to analyze gene
sets, via exploiting information from molecular network structures of, and offers interactive
visualization of network sub-structures. It offers integrated data sources (molecular interaction
data, pathway and tissue-specific gene expression data) and uses graph-based statistical
analysis and forced – directed layout generation to provide a clearer and more detailed
understanding of the gene set interactions. It uses a minimalist interface, with clear output,
and we refer the reader to the paper for more information.(Glaab, Baudot, Krasnogor,
Schneider, &amp; Valencia, 2012)
GeneCodis is a tool for enrichment analysis, available since 2007, its newest version offers a
more concise output and removes some redundancy, via summarizing of significantly
enriched terms, they also expanded the original application, by adding new sources of
information, such as genetic diseases, gene-drug interactions and PUBMED information.
GeneCodis offers a very customizable input, as it integrates data from several organisms,
which is rather rare as most of the enrichment analysis tools focus only on humans. Its
capable of filtering the output.(Tabas-Madrid, Nogales-Cadenas, &amp; Pascual-Montano, 2012)
GeneMANIA (http://www.genemania.org) is a web-app for gene list analysis. Given a list, it
will extend it with functionally similar genes, obtained from genomics and proteomics
databases. It’s capable of finding genes of similar function, and those that are most likely to
interact with the ones in the list. It supports multiple organisms, and integrates hundreds of
datasets from GEO, BioGRID, IRefIndex and I2D.(Zuberi et al., 2013)
Graphite Web: A new web-app for pathway analysis and visualization, that takes as input
gene lists from microarray or RNA-seq experiments. It combines topological methods with
multivariate pathway analyses and provides a clear network visualization tool, for efficient
interpretation of expression experiment results. It works with three model organisms, and
integrates two pathway databases.(Sales, Calura, Martini, &amp; Romualdi, 2013)

CONCLUSION
While new tools are constantly arriving they individually don’t see too much use or
recognition, this may be due to low popularity, or just being hard to find. This lack of
visibility makes it hard for researchers to test out new tools, as they rarely know that they
even exist, and this leads to a lack of feedback for the tool makers, which in turn leads to a
lack of improvement in the available tools. The usage of targeted internet marketing to
possible users should be considered by future tool makers as a way of reaching out to new
users, and obtaining feedback on their work. The current focus of enrichment analysis should
probably be turned over to better visualization of datasets, as the ball and stick models are
prone to looking like a ball of yarn if the input list is too large. Better visualization of data
will allow for much easier analysis, and comprehension of experimental results.
API support is another issue, as most of the tools listed in this review rely on manual input of
data, DAVID-WS is a nice exception to the rule. APIs could allow for easier testing and
automation of enrichment analysis tools, thus simplifying and speeding up a biologist’s
workflow.
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Standardization is another issue encountered in the use of these tools, as few of them support
multiple formats of output files, while exception do exist, they are few and mostly consist of
older, more established tools. While some tools do offer advantages over others, there exists
no gold standard for enrichment analysis, with labs using whichever tools they prefer, this
makes it hard to gauge the effectiveness of an approach, as only by repeat usage do the
advantages of a tool become clearly apparent.
While we have covered some integrative tools, none of them offers the full package, a modern
enrichment analysis tool should offer a customizable input, output, network visualization,
different scoring systems, multiple output formats, and allow for publication quality images.
The closest we have come to this are the tools from Maya’an Labs (Enrichr, S2N, N2L etc.),
which provide a wide array of functionality, but still aren’t seeing much use.

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enrichment analysis. Bioinformatics, 28(18), i451–i457. doi:10.1093/bioinformatics/bts389
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Jiao, X., Sherman, B. T., Huang, D. W., Stephens, R., Baseler, M. W., Lane, H. C., &amp; Lempicki, R. A. (2012).
DAVID-WS: a stateful web service to facilitate gene/protein list analysis. Bioinformatics, 28(13), 1805–1806.
doi:10.1093/bioinformatics/bts251
Kerrien, S., Aranda, B., Breuza, L., Bridge, A., Broackes-Carter, F., Chen, C., … Hermjakob, H. (2011). The
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Sreenivasaiah, P. K., Rani, S., Cayetano, J., Arul, N., &amp; Kim, D. H. (2011). IPAVS: Integrated Pathway
Resources, Analysis and Visualization System. Nucleic Acids Research, 40(D1), D803–D808.
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(2005). Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression
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modular enrichment analysis tool for functional genomics. Nucleic Acids Research, 40(W1), W478–W483.
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visualization on a canvas with enrichment analysis. Bioinformatics, 29(15), 1872–1878.
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doi:10.1093/nar/gkt533

Imer Muhović is a MSc student at the International Burch University. His main interests lie
in bioinformatics and systems biology, and he is currently in the process of constructing a
novel bioinformatics tool for sequence analysis, which will form his Master’s thesis.

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�</text>
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BEŠIĆ, Larisa
AŠIĆ, Adna
DOGAN, Serkan
DOLUCA, Osman</text>
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                <text>The advent of the era of high-throughput sequencing has brought a wealth of biological data  to researchers, but the vastness of the available data has created a demand for tools that could  be used to analyze it. One such type of tools are gene set analysis tools, that take a list of  genes that were found to be up or down regulated during an experiment. For the sake of  simplicity this review focuses solely on freely available web based tools that have been  published or have undergone significant updates in the last 5 years. This review is meant to  assist tool developers to better understand the needs of the end-users, and in it we look at the  currently available gene list analysis tools, their strengths and weaknesses, and offer  suggestions for their improvement.  Key words: microarray, gene set, systems biology, enrichment, gene ontology</text>
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                    <text>Journal of Natural Sciences and Engineering, Vol. 2, (2020)
DOI number: 10.14706/JONSAE2020213

Biometrics Based Access Control System

Mujo Hadžimehanović1, Dino Kečo1, Demir Korać1
1
International Burch University, Sarajevo, Bosnia and Herzegovina
mujo.hadzimehanovic@stu.ibu.edu.ba
dino.keco@ibu.edu.ba
demir.korac@stu.ibu.edu.ba
Abstract – Access control includes attendance checking and intrusion prevention. It is used to protect
property, employees and other assets of a company or institution. Since attendance checking and
intrusion detection are important segments of many educational institutions and other businesses as well,
it is important to make these processes faster, easier and as convenient as possible. Lots of institutions
are suffering from unreliable attendance checking methods, so we have decided to use biometrics, more
precisely face recognition to automate and improve this overall process. As part of this study the full
system has been implemented for recognition of people. As an example of usage in an educational
institutions multiple photos will be recorded during the class session, so that in case of students leave
class after the first shot, they will be removed from the attendance sheet. All recognized people will be
stored in Mongo database as an array of features and later read from database and processed by using
Python script for face recognition. All educational institutions are going to have benefits from this study.
Benefits would be improving attendance management and security.
Keywords - attendance, face, images, recognition
1.

Introduction

Technology is rapidly improving nowadays and everyday activities are adopting these improvements. Point is
to automate these activities and not to lose time performing them. Attendance is a really important part in most
organizations such as schools, faculties, companies etc. Today, attendance is performed in various ways. Best
way to do it is biometrics. Biometrics is a bioengineering area which is an automated method for person
recognition based on its physiological or behavioural characteristics. There are many biometric templates such
as fingerprints, face, hand geometry, iris, voice or signature. System is going to use face biometric template
because it is the fastest approach and requires no human intervention. This method is better than other biometric
methods because these methods are time consuming. There are also lots of systems which are using RFID
cards, location based attendance tracking systems, signature based etc. Negative things about these methods
are that they can be faked. In RFID and location based systems employees are carrying RFID cards or GPS
locators. So, other people can check instead of other employees. There are two main stages of face recognition
process and they are face detection and face identification [1]. Recording employees' work hours and their
activities, attendance of students in schools are really important components of every company or school. This
process is maintained by using signature, fingerprint, iris, RFID or face recognition. System is going to use a
camera which captures images of people entering the company or school building. Detected faces will be
compared with pictures which are already in the database. If a person's picture is in the database attendance

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will be checked automatically. Otherwise, the security system is going to be informed that an unrecognized
person entered the building. So, this system can also be used as an intrusion detection system.

2.

Literature Review

Following section contains a presentation of all related work and their methods.
Since they have large-scale data with massive noisy labels, X. Wu, R. He, Z. Sun, and T. Tan used a Light
CNN framework [2]. Their Light CNN architecture contains Max-Feature-Map to suppress low activation
neurons in all layers. Their model was trained on Celeb-1M dataset. In order to handle noisy labeled images,
they proposed a semantic bootstrapping method to automatically re-label training data via pre-trained deep
networks. For training purposes they used five types of databases. First type is commonly used Labeled Faces
in the Wild which consists of ~13,250 images of ~5,750 people. At VR@FAR=0 for Light CNN-29, they
achieved 97.50%, while results from all other methods were lower than 70%. Next type of the database are
collections of images extracted from Youtube videos which contain YouTube Celebrities (YTC) and
Celebrity1000 database. Precision achieved for these datasets is 94.18%. Third type are MegaFace, IJB-A and
IJB-B datasets which are challenging and they got 85.13% precision. Cross-domain databases are the fourth
type of database. It includes CACD - VS, Multi - PIE and the CASIA NIR - VIS 2.0 database. They achieved
98.55% on CACD, 95.0% on Multi-PIE and on CASIA VR@FAR=0.1% result is further improved from
94.03% to 94.77%.
M. Arsenovic, S. Sladojevic, A. Anderla, and D. Stefanovic use Convolutional Neural Networks (CNNs)
cascade to detect faces and CNN to generate embeddings of each face [3]. Fact is the best results for larger
datasets are achieved by using CNNs, but in their production environment that was not the case. CNN gave the
best results for smaller datasets. Accuracy of 95.02% was achieved on a dataset created by authors in the realtime environment. Five employees of the company took pictures of themselves and they used these pictures as
a dataset. Model was trained with these 5 pictures.
Active annotation and learning framework was used by H. Ye et al [4]. They are starting with face image
training set without labels and train a deep neural network iteratively model created was used to choose
examples for further manual annotation. After following active learning strategy, Value of Information
criterion is derived to actively select candidate annotation images. This model reaches the coverage of 70.7%
with a precision of 95%.
MSR Image Recognition Challenge by J. Li et al introduces a knowledge base which has an idea to assign each
face unique entity key and provide large dataset consisting of about 100,000 famous persons with around 100
images per person (MsCeleb) [5]. Method achieved coverage of 46.1% at 95% precision on the random dataset
and 33% at 95% precision on the hard set of their challenge. Authors proposed a method consisting of two
stages to learn robust human face representations for effective recognition of human faces. First stage in the
training set is cleaning the noisy data because dataset is taken from the internet so images without faces can
appear. In order to do so, a deep neural network was trained on existing dataset.

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DOI number: 10.14706/JONSAE2020213
S. Chintalapati and M. V. Raghunadh used SVM and Bayesian classifier for automated attendance system
based on face detection and recognition [6]. They proved that these classifiers are better when compared to
other distance classifiers. This system automatically detects the student which enters the classroom and marks
the attendance if recognizes him. One of the failures of the system is recognizing faces only up to 30 degrees
angle variations.

3.

Methods and Materials

Dataset to be used is Labeled Faces in the Wild [7] which is a database of face photographs designed for
studying the problem of unconstrained face recognition. It contains more than 13,000 pictures collected from
the web. Each image has been labeled with the name of the person on it. There are 1680 different persons in
images. Fig.1 shows samples from LFW dataset.

Fig.1. Samples from dataset
These images need to be processed in order to get numerical representation of faces which is called feature
vector. Feature vector consists of various numbers in a specific order which can be: height or width of face,
width of lips, nose height etc… Final output of processed image needs to be an array with features which is
shown in Fig.2. All features are stored in the mongo database for speed improvement. Python script iterates in
a folder which has dataset images and stores one by one in a database with image name and features. Face
Recognition library with deep learning is going to be used for this project. Deep learning model has an accuracy
of 99.38% on Labeled Faces in Wild dataset. Features of face recognition library are finding faces in pictures,
finding facial features in pictures and identifying faces in pictures. Once installed face recognition gives us two
command line programs:
●

face_recognition - recognize face on image

●

face_detection - detect face in image

Face recognition process consists of two stages. This includes taking and preparing training dataset and
integration into existing system. For testing purposes, data was collected at the university. These are images of
students which were taken in the first year. Images are preprocessed and inserted into the mongo database by

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DOI number: 10.14706/JONSAE2020213
using python script for inserting images. After insertion, facebook images of the same people were taken and
tested by using python script for face recognition.

Fig.2. Array of features
3.1

Data preprocessing

Implemented system is going to use monitoring cameras at the entrance. It means that we could have some
kind of network or other problems and taken images could be blurry, so we have to include such images in
training dataset, Fig.3. Persons entering the building can be photographed from different angles, so these kind
of photos should be included also in training dataset, Fig 4.

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Fig.3. Original and Blurred image
Fig.3 shows an example of original and blurred images. If we have perfect conditions we would have a picture
like the original one, but if the system experiences network issues we might have a blurry image like the one
represented. System has to be ready to respond accordingly to these kinds of issues. Python script was written
using OpenCV [8] interface to generate blurry images out of the original ones.

Fig.4. Image from front and side
In Fig.5 we can see facial features drawn on picture of Pep Guardiola. Most important features are shown: eyes,
nose, mouth and chin location. These features are used when recognizing people on images. Face recognition
library contains script face_landmarks for detecting facial landmarks and positioning the face based on them.

Fig.5. Facial features

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3.2

Usage Workflow

Application usage workflow is represented on Fig.6. Images need to be collected into a single folder, so that
insertion helper scripts can be run. For multiple insertions we need to pass a folder of images to script, which
iterates through these images, creates encodings and inserts them into database. Single insertion script accepts
an image as a parameter, encodes it and inserts into a database. Last step is recognizing images, the script
accepts an image which needs to be recognized and iterates through mongoDB collection and looks for
matching images.

Fig.6. Usage workflow
3.3

Face Recognition Library

Face recognition library which we are using is built using dlib’s face recognition with deep learning. We can
install library by using a python package installer. Once installed we are provided with two command-line
programs : face_recognition and face_detection. Face recognition recognizes faces in a photograph or in a
folder of photos. There should be two folders, one containing known people and second which contains photos
of people which we want to recognize. Face recognition program is run with two parameters which are the
names of these folders. Face detection program finds pixel coordinates of faces. It takes a folder with images
as parameter and at the end prints one line for each face that was detected. There is also an option to speed up
the overall process by doing a recognition with multiple CPU cores. For example if we have 8 core CPU, we
can process 8 times as many images in the same amount of time.
Dlib is a toolkit written in C++ and contains ML algorithms and tools for solving real world problems. The
most important thing is that dlib is an open source library which enables anyone to use it anywhere, free of any
charge. Some of the dlib’s features are Deep Learning, Multiclass SVM, Image Processing etc.. Our library
uses Image Processing tool for face recognition built by using deep learning tools from dlib.

�Journal of Natural Sciences and Engineering, Vol. 2, (2020)
DOI number: 10.14706/JONSAE2020213
3.4

Helper Scripts

There are multiple helper scripts which enable user to insert multiple or single image into database and
recognize faces. The most important parts of scripts are represented in the following lines.
insertMultiple.py
for image in images:
current_image = face_recognition.load_image_file("images/" + image)
encodings = face_recognition.face_encodings(current_image)
if len(encodings) &gt; 0:
current_image_encoded = encodings[0]
num_of_images+=1
else:
print("No faces found in the image " + image)
num_of_not_found+=1
continue
mydict = { "image": image, "encoding": current_image_encoded.tolist() }
x = mycol.insert_one(mydict)
print(image + " inserted")

Code snippet above loads images from the folder, encodes them and inserts them into mongoDB. We have to
provide the name of the folder which contains images and simply run the script.

�Journal of Natural Sciences and Engineering, Vol. 2, (2020)
DOI number: 10.14706/JONSAE2020213
faceRecognition.py
unknown_image = face_recognition.load_image_file("image.jpg")
unknown_face_encoding = face_recognition.face_encodings(unknown_image)[0]
known_faces = []
names = []
for x in mycol.find():
known_faces.append(x['encoding'])
names.append(x['image'])
results = face_recognition.compare_faces(known_faces, unknown_face_encoding)
for x in range(len(known_faces)):
if results[x] == True:
print("Recognized: " + names[x])
else:
print("Failed: " + names[x])

Code represented above does face recognition. It takes an image of the person which we want to recognize,
encodes it, loops through face encodings from the database and checks if a person exists in the database.

4.

Results

By using a custom dataset which was collected from our university. Students' images were taken and tested on
created scripts. From these tests we have obtained accuracy of 90.9% when testing on images found on
Facebook. There were some problems when recognizing people from different angles, but this can be material
for further study. Images of people are not shown because they did not agree to publish their images.
Since face_recognition python library has a pre-trained model there is no need for additional training.
Improvement is that all images are inserted in mongoDB with image name and face encodings array. Fig.5
shows one part of mongoDB record. Python script for inserting images in mongoDB is written and it takes a
folder with images and inserts one by one in the database. In our testing environment LFW dataset is used and
all images are collected into a single folder. Number of images inserted in the database is 4014. There are also
images on which faces are not recognized. Unrecognized images number is 21. So, if we take into consideration
that 4014 images are inserted and 21 are unrecognized which means that more than 99% images were
recognized. Example of such an image is shown in Fig.6. Execution time of the script is about 35 minutes for
LFW Dataset.
Final result of this research would be access control application. Application can be installed on Raspberry Pi
which has a camera installed. All assets that are necessary for access control application to be fully functional
can be installed on Raspberry. These are mongoDB, python and python libraries. Overall process is not so
challenging, so that we do not need anything better than Raspberry Pi 3 B+ which is a model that we used
while testing the application.

�Journal of Natural Sciences and Engineering, Vol. 2, (2020)
DOI number: 10.14706/JONSAE2020213
5.

Conclusion

The aim of this study was to make the attendance checking process a lot easier for companies and schools by
using biometrics. Every employee or student would be recorded by camera at the entrance and recorded in the
system. For educational institutions cameras will be installed in classrooms so that the system can make
multiple shots during lessons. This research was successful because it made the recognition process faster by
using a document based database which is really fast.

This study will bring benefits for multiple groups. Benefit for schools is easier attendance recording and
reducing waste of time at the beginning of the classes. Also students will not have a chance to avoid coming to
classes because this system will not allow them to cheat. Similar benefit is for companies to track their
employees coming and leaving time. Future research suggestions in this field are solving problems if a person
is recorded from the side and possibly getting blurry images because of internet connection issues.

REFERENCES
[1]

B. T. Liyew and P. Hazari, “A Survey on Face Recognition based Students Attendance System.”

[2]

X. Wu, R. He, Z. Sun, and T. Tan, “A Light CNN for Deep Face Representation With Noisy
Labels,” IEEE Transactions on Information Forensics and Security, vol. 13, no. 11. pp. 2884–2896,
2018, doi: 10.1109/tifs.2018.2833032.

[3]

M. Arsenovic, S. Sladojevic, A. Anderla, and D. Stefanovic, “FaceTime — Deep learning based
face recognition attendance system,” 2017 IEEE 15th International Symposium on Intelligent Systems
and Informatics (SISY). 2017, doi: 10.1109/sisy.2017.8080587.

[4]

H. Ye et al., “Face Recognition via Active Annotation and Learning,” Proceedings of the 2016
ACM on Multimedia Conference - MM ’16. 2016, doi: 10.1145/2964284.2984059.

[5]

J. Li et al., “Robust Face Recognition with Deep Multi-View Representation Learning,”
Proceedings of the 2016 ACM on Multimedia Conference - MM ’16. 2016, doi:
10.1145/2964284.2984061.

[6]

S. Chintalapati and M. V. Raghunadh, “Automated attendance management system based on face
recognition algorithms,” 2013 IEEE International Conference on Computational Intelligence and
Computing Research. 2013, doi: 10.1109/iccic.2013.6724266.

[7]

“LFW Face Database : Main.” [Online]. Available: http://vis-www.cs.umass.edu/lfw/. [Accessed:
19-Jan-2019].

[8]

“OpenCV library.” [Online]. Available: https://opencv.org/. [Accessed: 09-Jan-2019].

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well, it is important to make these processes faster, easier and as convenient as possible. Lots of&#13;
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                    <text>PROCEEDINGS

th

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ISSD 2014

BIOMONITORING OF LEAD POLLUTION ON THE URBAN FLORA
Mustafa Dogan1, Zlatko Nedić2, Rifet Terzić3
1

International School of Zenica, Bosnia and Herzegovina; mustafadogan74@hotmail.com
2
High School Orasje, Bosnia and Herzegovina; zlatko8679@hotmail.com
2
University of Tuzla, Bosnia and Herzegovina; rifet.terzic@untz.ba

ABSTRACT
In this study, the first aim was to find out the measures of lead (Pb) as the heavy metal
pollution in Sarajevo, Bosnia and Herzegovina. The second aim was to test if chicory,
Cichorium intybus L., can be used as a biomonitor of heavy metal pollution. Twenty-eight
sites (urban, suburban and rural) in Sarajevo were investigated during the summer period in
2010. Concentrations of Pb were determined in leaves and roots of Cichorium intybus L. and
also in soils collected from a wide range of sites with different degrees of metal pollution. As
a result of measurements, the highest values of lead accumulations in plants have been
observed in roots as expected. The highest values were detected as 30.10 mgkg-1 dry weight
in roots and as 28.20 mgkg-1 dry weight in leaves in the PMF garden in Pofalici. On the other
hand, the highest value of lead was detected as 450.05 mgkg-1 dry weight in soil in Museum
Garden. Theoretically it is expected to observe highest accumulation in soils, roots and leaves,
respectively. After getting results, it is observed the relationship of lead accumulation among
soils, roots and leaves as expected. Cichorium intybus L. was found to be a useful biomonitor
in the determination of lead pollution.
Key words: Cichorium intybus L., lead pollution, biomonitoring, Sarajevo

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INTRODUCTION
One of the common worldwide plants is the common chicory. It is also known as succory,
blue sailors, cornflower, and coffee weed. Cichorium intybus L., also known as common
chicory, is a bushy perennial herbaceous plant. It has blue, lavender, or sometimes white
flowers. It lives as a wild plant on roadsides in many countries of its native Europe, Asia,
North America and Australia (Davis, 1975). Various varieties are cultivated for salad leaves,
chicons (blanched buds), or for roots (var. sativum), which are baked, ground, and used as a
coffee substitute and additive. It is also grown as a forage crop for livestock.
When flowering, Cichorium intybus L. has tough, grooved, and some hairy stem, from 25 to
100 centimeters tall. The leaves are stalked, lanceolate and unlobed. The flower heads are 2 to
4 centimeters wide, and bright blue. There are two rows of involucral bracts - the inner are
longer and erect, the outer are shorter and spreading. It flowers from July until October. The
achenes have no pappus (feathery hairs), but do have toothed scales on top. (Rose &amp; Francis,
1981)
Lower plants, especially mosses and lichens, in view of their higher capacity for metal
accumulation are probably the organisms most frequently used for monitoring metal pollution
in urban environments (Markert, 1993; Al-Shayeb et al., 1995 &amp; Aksoy et al., 1999). During
the past few decades there has been an increase in the use of higher plant leaves as biomonitor
of heavy metal pollution in the terrestrial environment (Aksoy &amp; Ozturk, 1996, 1997; Aksoy
&amp; Demirezen, 2006). Wild chicory is a leafy vegetable and it has several characteristics for
biomonitoring purposes which are worldwide cosmopolitan distribution, ability to tolerate a
broad range of climatic and soil conditions, and ability to grow as a weed so it can be used as
a biological indicator of heavy metal contamination (Simon et al., 1984). Also, it is a
perennial plant that could be another convenient characteristic for biomonitoring purposes.
Numerous organisms have been used to monitor heavy metal pollutions (Augusto et al.,
2007). These include invertebrates, vertebrates, cyanobacteria, lichens, mosses, and many
parts of plants (tree barks, tree rings, pine needles, grasses and leaves) (Lovett et al., 1997;
Aksoy &amp; Öztürk, 1996; Sakurai et al., 2000; Augusto et al., 2007; Aksoy, 2008; Atiq-UrRehman and Iqbal, 2008). Some plant species have more ability of uptaking high levels of
metals and other toxic elements, without showing any visible injury. These are later
denominated as accumulator or biomonitor plants (De Temmerman et al., 2004). The term
biomonitor is defined as an organism that provides quantitative information on the quality of
the environment around it. Therefore, a good biomonitor will indicate the presence of the
pollutant and also attempt to provide additional information about the amount and intensity of
the exposure (Wolterbeek, 2002). With proper selection of organisms, the general advantage
of the biomonitoring approach is related primarily to the permanent and common occurrence
of the organism in the field, even in remote areas, the ease of sampling, and the absence of
any necessary expensive technical equipment (Wittig, 1993; Wolterbeek, 2002).
Many studies on the accumulation of heavy metals by various plant species have been
reported (Peterson et al., 1979; Lepp, 1981; Page et al., 1981; Nasu &amp; Kugimoto, 1984; De
Temmerman &amp; Hoenig, 2004; Finster et al., 2004; Augusto et al., 2007). Although it is
consumed enormously, there are only few data available on heavy metal accumulation of wild
chicory in contaminated areas (Simon et al., 1984; Turkan, 1986; Del Rio-Celestino et al.,
2006; Aksoy &amp; Demirezen, 2006; Aksoy, 2008).

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MATERIALS AND METHODS
Method:
Lead (Pb) concentrations were investigated in the samples of soil, roots and aerial parts of
chicory. The analyses were done by Federal Institute of Agriculture in Sarajevo.
Concentrations of lead were measured in terms of mg/kg in twenty eight localities.
1. Sample Collection and Identification: The soil, roots and aerial parts of chicory were
handpicked carefully into plastic bags at the each locality. All samples were labeled with
respect to their localities.
2. Sample Processing: In the laboratory, all samples were exposed to air dry for 5 days. Then
the dried samples were grounded to have fine powder.
3. Sample Analysis by ICP-AES (Inductively Coupled Plasma – Atomic Emission
Spectrometry): After sample processing, the last step was analytical procedures of ICP-AES
analysis. Perkin Elmer Plasma 400 ICP-AES operating in sequential mode was used for all
analyses. Atomic spectrometer is very useful for element analysis because every element has
its own characteristic set of energy level. By the use of atomic spectrometer, the set of
emission wavelengths were measured.
Table 1 Comparison of heavy metal concentrations (mg kg-1 dry wt) considered toxic or
contaminated, taken from the literature (adapted from Ross, 1994), with values from this
study.
Concentrations in soil Concentration in
Present results
Element Considered toxic
contaminated plants
Soil
Plants
Pb
100-400
30-300
4.80 - 450.05
0.60 - 30.10

Study Areas
In this study, Sarajevo City center and around are studied. Twenty eight localities are
investigated for heavy metal pollution. These locations are:

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Table 2 localities and gps values
Latitude:

Longitude:

L1: Pofalići - PMF garden

43°51'17.40"N

18°23'44.03"E

L2: Grbavica

43°51'9.63"N

18°24'5.55"E

L3: Tranzit road - Vraca

43°50'52.00"N

18°23'53.00"E

L4: Tranzit road - A.S.

43°50'48.38"N

18°23'57.99"E

L5: Vraca - Memorial park

43°50'40.02"N

18°23'59.81"E

L6: Trebević

43°50'20.04"N

18°24'49.01"E

L7: Trebević II

43°50'35.79"N

18°24'57.50"E

L8: Skenderija V.P.

43°51'21.36"N

18°24'45.90"E

L9: Ćumurija

43°51'24.48"N

18°25'36.78"E

L10: Bentbaša

43°51'34.24"N

18°26'12.60"E

L11: Holiday Inn tram line

43°51'19.77"N

18°24'7.66"E

L12: Tranzit road - Soukbunar

43°51'8.84"N

18°24'53.04"E

L13: Bistrik church

43°51'20.79"N

18°25'54.62"E

L14: Museum garden

43°51'18.58"N

18°24'11.37"E

L15: Bakije

43°52'2.40"N

18°26'30.21"E

L16: Babina bašta

43°51'32.76"N

18°26'5.68"E

L17: Tranzit road - Bistrik

43°51'14.43"N

18°25'25.95"E

L18: Pofalići – tram line

43°51'15.95"N

18°23'35.94"E

L19: Otoka

43°50'51.77"N

18°21'37.50"E

L20: Stup

43°50'36.40"N

18°19'47.08"E

L21: Kobilja Glava

43°53'0.56"N

18°23'5.30"E

L22: Ilidža

43°49'53.69"N

18°18'32.10"E

L23: Faletići

43°52'15.03"N

18°27'11.27"E

L24: Semizovac

43°55'15.55"N

18°18'59.09"E

L25: Ćevljanovići

44° 3'8.92"N

18°28'37.14"E

L26: Olovo

44° 7'36.75"N

18°36'50.06"E

L27: Kladanj

44°14'28.91"N

18°42'20.61"E

L28: Museum garden II

43°51'18.24"N

18°24'6.56"E

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PROCEEDINGS

�PROCEEDINGS

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ISSD 2014

Picture 1. Satellite record of Sarajevo

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PROCEEDINGS

RESULTS
Table 3 Results of lead analysis

Localities
L1: Pofalići-PMF garden
L2: Grbavica
L3: Tranzit road-Vraca
L4: Tranzit road -A.S.
L5: Vraca-Memorial park
L6: Trebević
L7: Trebević II
L8: Skenderija V.P.
L9: Ćumurija
L10: Bentbaša
L11: Holiday Inn tram line
L12: Tranzit road -Soukbunar
L13: Bistrik church
L14: Museum garden
L15: Bakije
L16: Babina bašta
L17: Tranzit road -Bistrik
L18: Pofalići -tram line
L19: Otoka
L20: Stup
L21: Kobilja Glava
L22: Ilidža
L23: Faletići
L24: Semizovac
L25: Ćevljanovići
L26: Olovo
L27: Kladanj
L28: Museum garden II

SOIL
Results of
lead
(mg/kg)
206.64
49.00
103.32
25.83
77.00
50.10
4.80
77.49
99.80
77.50
154.98
31.00
97.30
542.43
69.70
25.83
70.34
129.16
73.34
136.68
51.66
18.33
65.50
25.00
30.60
73.00
5.00
450.05

ROOT
Results of
lead
(mg/kg)
30.10
9.40
11.90
8.70
5.60
1.70
0.90
8.50
9.70
7.00
11.00
5.80
8.90
28.00
5.20
3.80
4.20
10.00
3.80
3.30
6.20
4.20
2.10
8.70
3.00
10.10
6.40
10.30

LEAF
Results of
lead
(mg/kg)
28.20
8.38
15.70
8.50
6.80
1.10
0.60
4.30
7.60
6.40
5.10
7.50
7.20
22.00
4.80
4.10
3.00
5.80
1.75
2.20
2.80
3.30
2.50
5.60
2.00
13.20
4.10
9.80

A- DESCRIPTIVE ANALYSIS OF LEAD
Table 4 Descriptive analysis of lead

LEAD
Mean
Median
max.
min.
st dev

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SOIL
Results of
lead
(mg/kg)
100.76
71.67
542.43
4.80
121.60

ROOT
Results of
lead
(mg/kg)
8.16
6.70
30.10
0.90
6.65

LEAF
Results of
lead
(mg/kg)
6.94
5.35
28.20
0.60
6.26

�PROCEEDINGS

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ISSD 2014

B- DESCRIPTIVE ANALYSIS WITH RESPECT TO URBAN, SUBURBAN AND
RURAL AREAS
Table 5 Results with respect to urban, suburban and rural areas
SOIL - Results of lead
(mg/kg)
ROOT - Results of lead
(mg/kg)
LEAF - Results of lead
(mg/kg)

Urban

Suburban

Rural

152.75

61.79

31.42

10.57

6.21

5.13

8.30

6.45

4.43

SOIL
Results of
lead
(mg/kg)

Graph 1 Distribution of lead concentration in urban, suburban and rural areas (mg/kg)
C- REGRESSIVE ANALYSIS OF LEAD
Table 6: Regressive analysis of lead – soil
Dependent Variable: SOIL_PB
Method: Least Squares

Date: 05/14/14 Time: 21:35
Sample: 1 28
Included observations: 28

Variable

Coefficient

Std. Error

t-Statistic

Prob.

LEAF_PB

-6,680899

ROOT_PB

16,24043

8,115762

-0,8232

0,4185

7,899495

2,055882

0,0508

LOCATION

50,69459

C

-10,7494

40,2297

1,260128

0,2197

28,31497

-0,379637

0,7076

R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)

0,507033
0,445412
90,55576
196808,3
-163,7392
8,228267
0,000612

Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

100,7636
121,5993
11,98137
12,17169
12,03955
1,481338

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Table 7: Regressive analysis of lead - root
Dependent Variable: ROOT_PB
Method: Least Squares

Date: 05/14/14 Time: 21:32
Sample: 1 28
Included observations: 28

Variable

Coefficient

Std. Error

t-Statistic

LEAF_PB

0,866314

0,084729

10,22457

0

SOIL_PB

0,00922

0,004485

2,055882

0,0508

LOCATION

0,680752

0,979956

0,694676

0,4939

C

0,878754

0,652479

1,346794

R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)

0,906412
0,894713
2,15768
111,734
-59,10511
77,48062
0

Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

Prob.

0,1906
8,160714
6,649664
4,507508
4,697823
4,565689
2,401098

Table 8: Regressive analysis of lead - leaf
Dependent Variable: LEAF_PB
Method: Least Squares
Variable

Coefficient

ROOT_PB
SOIL_PB
LOCATION
C
R-squared
Adjusted R-squared
S.E. of regression
Sum squared resid
Log likelihood
F-statistic
Prob(F-statistic)

0,938794
-0,00411
-0,118226
-0,247595
0,885385
0,871058
2,24613
121,0824
-60,23001
61,79893
0

Date: 05/14/14 Time: 21:29
Sample: 28
Included observations: 28
Std. Error
t-Statistic
0,091818
10,22457
0,004993
-0,8232
1,03005
-0,114777
0,70261
-0,352393
Mean dependent var
S.D. dependent var
Akaike info criterion
Schwarz criterion
Hannan-Quinn criter.
Durbin-Watson stat

Prob.
0
0,4185
0,9096
0,7276
6,940357
6,255153
4,587858
4,778173
4,646039
2,201968

DISCUSSION and CONCLUSION
Especially the first half of the previous century has high lead (Pb) emission into the
environment because lead has been used as an antiknock agent in gasoline. According to
Olendrzynski et al. (1995), about 70% of the total emissions in Europe were related to traffic,
15% to industrial production, 5%-10% to power generation, and 2% to waste burning.
Another research concludes that the major source of human lead accumulation in developing
countries was found to be airborne lead, 90 percent of which comes from leaded gasoline
(MECA, 2003). Similar results indicating lead in the atmosphere mainly emitted from
automobiles were investigated by several other researches (Foner, 1987; Gratani et al., 1992;
Bahemuka &amp; Mubofu, 1999; Renberg et al., 2000; Yaman et al., 2000; Andrews &amp; Sutherland,
2004; Finster et al., 2004).
Aksoy &amp; Sahin, (1999) indicated that sampling of soil and different parts of plants is useful to
determine the source and location of lead contamination.
Table 1 represents a comparison of the toxic heavy metal concentrations (Ross, 1994).
Because concentrations of lead in Cichorium intybus L. do not exceed generally the upper
limit, studied sites of Sarajevo are not highly polluted by lead.

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The concentrations of lead as heavy metal found in soil, roots and aerial parts of Cichorium
intybus L. in different sites are presented in the Table 3. The lead concentrations in different
localities show differences. Especially lead concentrations in soil show some excessive
amounts in some localities. In terms of root and leaf, results are in the acceptable range. Only
two sites exceed the upper limits which are located in the museum garden. Two different
localities in museum garden show high pollution levels. Moreover, especially urban samples
show values in which the upper limit is higher than the minimum levels of contamination.
Aerial deposition of lead over a long time period might cause to that high concentration.
Based on the results of a previous study carried out by Aksoy (2008), It is expected soil lead
concentration should be higher than that of roots and leaves. It is clear that the concentrations
of lead in soil were significantly higher than that of in roots and aerial parts of plants.
Therefore, the concentrations of lead in the soils support Cichorium intybus L. in the same
areas.
The descriptive analysis with respect to urban, suburban and rural areas shows the practical
results as expected theoretically. The mean lead concentrations in soil in the urban samples
are significantly higher than that of suburban and rural samples. On the other hand, the mean
lead concentrations in root and leaf samples are significantly higher than that of rural and are
slightly higher than that of suburban samples.
The similar correlation can be found vertically in the same table. The mean lead
concentrations in urban, suburban and rural areas show decreasing relations in soils, roots and
leaves, respectively. These results are also expected theoretical results because of exposure
time interval to lead pollution. Because soil is exposed to lead pollution more years than root
and leaves, more lead is accumulated in soil. Basically, there are two ways whereby plants get
contaminated by lead, which are one from soil sources via root absorption (Yaman et al., 2000;
Finster et al., 2004; Wong &amp; Li, 2004; Del Rio-Celestino et al., 2006), and the second from
aerial deposition onto plant leaves (Aydinalp &amp; Marinova, 2004).
It can be said that the high lead content in urban soils and plant samples is mostly because of
the traffic density. Traffic density is considered as one of the major source of heavy metal
contamination, especially in terms of lead. Different lead pollution levels among plants are
because of the different levels of deposition airborne lead and from soil sources. Lead can
increase high elevations after emitted from exhausts so it is very difficult to find lead free
plants. When airborne lead precipitates, it accumulates on soil and plants. Consequently, high
pollution levels of soil in urban sites are more likely due to the deposition of airborne lead and
exposure interval. This study shows that there is no significant pollution level in roots and
leaves of Cichorium intybus L. at the collected sites.
It is clear that with an increase in the lead concentration in soil due to percolation, the uptake
of heavy metals by Cichorium intybus L. also increases. So it can be concluded that
Cichorium intybus L. can be used as biomonitor of heavy metal pollution because it shows the
criteria for a species as a biomonitor. Furthermore, because it is common in Europe, Asia and
Australia it may be very useful biomonitor in these areas.
As a result this study shows that an immediate action is required to provide sustainable traffic,
to use ecological methods to have a sustainable development in the area.

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http://www.innvista.com/HEALTH/foods/vegetables/chicory.htm
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�</text>
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                <text>BIOMONITORING OF LEAD POLLUTION ON THE URBAN FLORA</text>
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NEDIĆ, Zlatko
TERZIĆ, Rifet</text>
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                <text>In this study, the first aim was to find out the measures of lead (Pb) as the heavy metal  pollution in Sarajevo, Bosnia and Herzegovina. The second aim was to test if chicory,  Cichorium intybus L., can be used as a biomonitor of heavy metal pollution. Twenty-eight  sites (urban, suburban and rural) in Sarajevo were investigated during the summer period in  2010. Concentrations of Pb were determined in leaves and roots of Cichorium intybus L. and  also in soils collected from a wide range of sites with different degrees of metal pollution. As  a result of measurements, the highest values of lead accumulations in plants have been  observed in roots as expected. The highest values were detected as 30.10 mgkg-1 dry weight  in roots and as 28.20 mgkg-1 dry weight in leaves in the PMF garden in Pofalici. On the other  hand, the highest value of lead was detected as 450.05 mgkg-1 dry weight in soil in Museum  Garden. Theoretically it is expected to observe highest accumulation in soils, roots and leaves,  respectively. After getting results, it is observed the relationship of lead accumulation among  soils, roots and leaves as expected. Cichorium intybus L. was found to be a useful biomonitor  in the determination of lead pollution.  Key words: Cichorium intybus L., lead pollution, biomonitoring, Sarajevo</text>
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                    <text>Biosecurity and Major Diseases in Shrimp Culture
Gurel Turkmen
Faculty of Fisheries, Ege University, Izmir, Turkey
gurel.turkmen@ege.edu.tr
Erol Toksen
Faculty of Fisheries, Ege University, Izmir, Turkey
erol.toksen@ege.edu.tr

Abstract: The global shrimp aquaculture has passed its 30th year as a significant and rapidly
growing and now represents a multi-billion dollar a year industry. More than half of the
global shrimp supply now comes from farms. Recent statistics show that in 2008, 3,399,105
metric tons (MT) of the total world supply of 6,519,671 MT of shrimp (or 52%) were
produced from aquaculture. However, shrimp farmers have suffered significant economic
losses over the last decade, largely from viral diseases that have plagued the industry. In Asia,
mortalities of cultured shrimp due to White Spot Syndrome Virus (WSSV) and Yellow Head
Virus (YHV) have resulted in significant economic losses, and Taura syndrome virus (TSV)
is now spreading throughout this region. Similarly, in the Western Hemisphere, both WSSV
and TSV have caused catastrophic losses on shrimp farms. In Ecuador alone, WSSV was
responsible for an estimated 53% decline in shrimp production from 1998 to 2000, resulting
in a loss of export revenue in excess of $516 million. It is believed that these diseases are
transferred between regions through the importation of hatchery broodstock, postlarvae and
shrimp products. Once new pathogens are imported to an area, infection of wild stock appears
to be inevitable, eliminating future possibilities of using uncontaminated wild stock to culture.
Good biosecurity measures are vital to maintaining healthy animals, to reducing the risk of
acquiring diseases in aquaculture facilities and to harvest high quality good yield. Thus,
biosecurity measurements for a shrimp farming facility includes; disease prevention, disease
monitoring, effectively managing disease outbreaks, cleaning and disinfection between
production cycles and general security precautions.
Key words: Shrimp, Culture, Biosecurity, Disease, Prevention,

1. Introduction
The global shrimp farming industry has passed its 30th year as a significant and rapidly growing
industry. More than half of the global penaeid shrimp supply now comes from farms. Recent statistics (FAO,
2010) show that in 2008, 3,399,105 metric tons (MT) of the total world supply of 6,519,671 MT of shrimp (or 52%) were produced from aquaculture. The huge scale of the shrimp farming industry represents fourteen of
billions of dollars of physical assets and hundreds of thousands of jobs. Two species are dominant in the global
shrimp farming industry. These are the black tiger shrimp Penaeus monodon and the Pacific white shrimp
Litopenaeus vannamei. In Asia, the dominant species of choice was the Giant Tiger shrimp P. monodon native to
tropical, coastal regions of the Indo-Pacific basin. In the West, the principal farmed species was P. vannamei, the
Pacific White shrimp which is native to the tropical Pacific coast of Latin America. In the early 1990s, Asian
shrimp farmers contributed more than 90% of total world production while farmers in the West contributed less
than 10% of the total. Development of specific pathogen-free SPF stocks of P. vannamei in the U.S. in the early
1990s and their industry-wide use caused a doubling of U.S. industry production. Subsequent introduction of the
domesticated non-native SPF P. vannamei to Asia in the late 90s, produced dramatic increases in shrimp
production and rapid spread through Southeast Asia. Rapid and sustained increases in Asian shrimp production
resulted from P. vannamei’s widespread adoption and these drove global shrimp production to double since
2000. By 2004, P. vannamei emerged as the leading shrimp species in worldwide production contributing more
than 50% of total world farmed-shrimp production. In 2008, P. vannamei production accounted for more than
70% of total world production and was the dominant species farmed in China, Thailand, and Indonesia the
world’s three leading production countries.

606

�The vast majority of shrimp culture in the world is conducted in outdoor earthen ponds that are typically
located in coastal zones and exposed to a variety of pathogens. The worldwide experience of the shrimp farming
industry is that pathogens, especially viruses, are a serious threat to the productivity and even survival of the
industry. Although farmed shrimp now represent more than 50% of the global penaeid shrimp supply, farmers
have suffered significant economic losses over the last decade, largely from viral diseases that have plagued the
industry (Table 1. Lightner, 2005 ). In Asia, mortalities of cultured shrimp due to White spot syndrome virus
(WSSV) and Yellow head virus (YHV) have resulted in significant economic losses (Flegel and Alday-Sanz
1998), and Taura syndrome virus (TSV) is now spreading throughout this region. Similarly, in the Western
Hemisphere, both WSSV and TSV have caused catastrophic losses on shrimp farms (Lightner, 2003). In
Ecuador alone, WSSV was responsible for an estimated 53% decline in shrimp production from 1998 to 2000,
resulting in a loss of export revenue in excess of $516 million (Rosenberry, 2000).
Virus
WSSV - Asia
WSSV - Americas
TSV
YHV
IHHNV

Year of emergence to 2001
1992
1999
1991-1992
1991
1981

Product loss (US dollars)
4-6 billion
&gt; 1 billion
1-2 billion
0.1-0.5 billion
0.5-1.0 billion

Table 1. Estimated Economic Losses Since The Emergence of Certain Diseases in Penaeid Shrimp Aquaculture
The pandemics due to the penaeid viruses WSSV and TSV, and to a lesser extent to IHHNV and
Yellow Head Virus (YHV), have cost the penaeid shrimp industry billions of dollars in lost crops, jobs, and
export revenue. In response to these viral pathogens, the global shrimp farming industry is changing the way
shrimp aquaculture is practiced. The social and economic impacts of the pandemics caused by these pathogens in
countries in which shrimp farming constitutes a significant industry have been profound. In the wake of the viral
pandemics the shrimp culture industry has sought ways to restore the industry’s levels of production to the “previrus” years. The application of biosecurity to shrimp farming is central to those efforts (Lightner 2005). At the
shrimp farm level, biosecurity refers to producing healthy shrimp in a well-controlled environment that excludes
the introduction or propagation of unwanted organisms and includes the prevention or escape of organisms back
into the natural environment. The primary goal of a biosecurity program in shrimp farming is to prevent the
introduction of any infectious organism into a shrimp farming system. In this study a brief review was given of
basic farm management strategies to improve the outlook for more biosecure production and control of disease
in shrimp culture. A series of standard operating procedure recommendations was presented including farm
location and design, pond preparation, stocking strategies, water exchange, feed management, health monitoring,
and disease exclusion.

2. Biosecurity in Shrimp Farming
Biosecurity, as it is being applied to shrimp aquaculture, may be defined as the practice of exclusion of
specific pathogens from cultured aquatic stocks in broodstock facilities, hatcheries, and farms, or from entire
regions or countries for the purpose of disease prevention (Lightner 2003). Lightner (2003), discussed ways of
excluding pathogens from stock (i.e., post larvae and broodstock), especially through the use of quarantine and
specific pathogen-free (SPF) certified stocks, and restricting imports of live and frozen shrimp. Excluding
vectors and external sources of contamination and preventing internal cross contamination were suggested
methods for excluding pathogens from hatcheries and farms. In the poultry industry, biosecurity has been
defined as an essential group of tools for the prevention, control, and eradication of economically important
infectious diseases. While biosecurity in this context may have many facets, central to its application in shrimp
farming are the concepts of stock control and pathogen exclusion. This has been accomplished through the
practice of stocking farms only with shrimp that are free of the diseases of concern into farms with controlled
water sources. The latter issue of controlled water sources is being accomplished through better farm siting, farm
design and water management through the use of such strategies as inland shrimp farming, “zero” water
exchange, and the use of water treatment devices that remove potential vectors from the source water (Browdy et
al. 2001). Horowitz and Horowitz (2003) described physical, chemical, and biological precautionary measures to
be taken as well as a second line of defense against potential disease outbreaks. Physical measures are those that
aim at preventing the intrusion of disease-carrying vectors to the farm site, and include physical barriers, water
treatment, and quarantine. Chemical measures are those used to treat materials before they enter the facility.

607

�Chlorination and ozonization are often used to treat incoming water, and iodine and chlorine are used to treat
other potential vectors such as tools, footwear, and clothing. Biological measures include the use of SPF shrimp,
which are readily available commercially. A second line of defense for the shrimp industry is to use specific
pathogen-resistant shrimp, which, in addition to being disease-free, are resistant to specific diseases. Since
shrimp do not develop a specific immune response, common immunostimulants, such as β-1-3 glucan,
lipopolysaccharides, and peptidoglycans are used to improve the ability of the shrimp to prevent infection.
The pathogens WSSV and IHHNV are considered to have been introduced into the Americas from Asia
with live shrimp or with frozen infected commodity shrimp (FAO 2003; Tang et al. 2003). Both WSSV and
IHHNV have been demonstrated in wild penaeid shrimp in the Americas (Motte et al. 2003) and Asia (Fegan
and Clifford 2001). The establishment of these and other pathogens in wild shrimp stocks in the Americas has
changed the way shrimp are farmed. Gone are the days when broodstock and postlarvae could be collected from
the wild without concern that they might be carrying disease. Also gone are the days when shrimp farms, in all
but the most geographically isolated locations, could be designed and operated without a biosecurity program. In
the decade following the emergence and spread of WSSV throughout Asia and into the Americas and the
emergence and spread of TSV throughout the Americas and into Asia, the industry has begun to adopt a variety
of biosecurity measures and programs as its best defense against these and other diseases. In some shrimp
farming regions, the application of the principles of biosecurity has helped farms in those regions to reduce
losses due to disease and to improve production (Fegan and Clifford 2001).
If a disease presents itself at a particular pond, effective biosecurity measures should prevent the
complete loss of the crop and the spread of disease to other ponds. Lightner (2003) recommended an approach to
eliminating pathogens at the stock level and partial disinfection at the facility level. To eliminate pathogens in
post-larvae and broodstock, affected tanks and ponds should be depopulated, disinfected, and restocked with SPF
shrimp. It may, however, be necessary to depopulate the entire stock and to fallow the entire facility if partial
disinfection (using lime, chlorine, or drying) is not successful. Horowitz and Horowitz (2003) suggested
providing better environmental and biological conditions to the infected population to increase its ability to resist
diseases. They discussed the following steps: a) effect physical measures (increase aeration, control temperature,
improve the feeding regime, remove sludge and organic matter, and treat wastewater) to improve the
environmental conditions, b) effect chemical measures, including control of pH and salinity, reduction of
ammonia and nitrite, and application of antibiotics, and c) to use effective biological measures, consisting mainly
of the use of probiotics containing a mix of bacterial species to establish beneficial microbial communities under
culture conditions.
2.1. Control of Shrimp Stocks
The single most important principle of biosecurity is stock control, which may be simply defined as the
use of captive or domesticated stocks, cultured under controlled conditions, and which have been the subject of
an active disease surveillance and control program (Lightner 2003). While numerous methods have been
incorporated into the operational design and management of shrimp farms previously affected by TSV and
WSSV to eradicate them and to insure that they are not reintroduced, none can be expected to provide much
protection against crop losses in farms that use seed stock derived from wild stock sources. The use of only
domesticated shrimp stocks that have a known history of being free of pathogens of concern can help to mitigate
this risk. However, an SPF history comes only from a long-term captive breeding and disease surveillance
program at a facility that has a fully functional and effective biosecurity plan (Fegan and Clifford 2001). The
successful application of the SPF concept is dependent upon the absence of the pathogen(s) of concern in the
stocks being reared (or that are present), on the availability of sensitive and accurate detection and diagnostic
methods for the pathogen(s), and the presence of an effective barrier (i.e., facility design and geographic location,
government mandated import restrictions, etc.) to prevent the introduction of the specific pathogen(s) intended to
be excluded. The International Council for the Exploration of the Sea (ICES) Guidelines (Code of Practice to
Reduce the Risks of Adverse Effects Arising from the Introduction on Nonindigenous Marine Species, 1973, as
reviewed in Sindermann (1988, 1990) was followed for the development of these stocks (Table 2).
Original ICES Guidelines
1. Conduct comprehensive disease study in native
habitat
2. Transfer {founder stock} system in recipient area
3. Maintain and study closed system population
4. Develop broodstock in closed system

Adapted to SPF Shrimp Development
1. Identify stock of interest (i.e., cultured or wild)
2. Evaluate stock's healtlddisease history.
3. Acquire and test samples for specific listed
pathogens (SLPs) and pests.
4. Import and quarantine founder (F0) population;

608

�5. Grow isolated F1 individuals; destroyoriginal
introductions
6. Introduce small lots to natural waters - continue
disease study.

monitor F0 stock.
5. Produce F1 generation from F0 stock.
6. Culture F1 stock through criticmonitor general
health and test for SLPs. al stage(s);
7. If SLPs, pests, other significant pathologies are not
detected, F-1 stock may be defined as SPF and
released from quarantine.

Table 2. Recommended Steps in The ICES Guidelines for Risk Reduction in Aquatic Species Introductions

2.2. SPF and SPR Shrimp Stocks
Stock control requirements are being addressed in at least three ways. Where the industry has remained
dependent upon wild (adult or postlarval = PL) stocks as its source of “seed,” routine polymerase chain reaction
(PCR) testing of broodstock and PLs for important pathogens like WSSV, TSV, YHV, and IHHNV has been
adopted. Other components of the industry have chosen to attempt to develop and use specific pathogen resistant
stocks (SPR) when pathogen exclusion from other sources such as the water supply is not a practical option
(Lightner and Redman 1998). Nonetheless, the development and use of “specific pathogen free” (SPF) stocks is
emerging as perhaps the best management strategy for stock control in farms, regions or countries with
biosecurity programs. Although marketers commonly use the term “disease-free” to describe the live shrimp
products in commerce, they are in reality marketing shrimp that are free of specific disease causing agents.
Because nothing that is living is completely free of some sort of disease, such “disease free shrimp” are more
correctly referred to as being free of certain specific pathogens or SPF.
The term SPF implies that the stock of interest is free of one or more specific pathogens (Fegan and
Clifford 2001). To the USMSFP, SPF means the stock of interest has at least 2 yr of documented historical
freedom of the disease agents listed on its working list of specific pathogens, that the stock has been cultured in
biosecure facilities, and that the stock was either cultured under conditions where the listed disease agents would
have produced recognizable disease if any were present and/or that the stock has been subjected to routine
surveillance and testing for the listed pathogens. Those pathogens on the USMSFP SPF list have also met certain
criteria including: 1) the pathogen(s) must be excludable; 2) adequate diagnostic and pathogen detection methods
are available; and 3) the pathogen(s) poses significant threat of disease and production losses (Lotz et al. 1995;
Lightner 2003), which are also among the criteria required for disease listing by the Office International des
Epizooties, OIE (OIE 2003a, 2003b)

Secondary Quarantine Facility

Primary
Quarantine of
F0: test for
pathogens/pests

negative
nenegati
+ = no
nenegati

Produce
Produce negative
adult
F
Generation
nenegati 1
broodstock + = no
(SPF/SPR)

negative
Breeding nenegati
Center(s)&amp;
+ = no
hatcheries + = no
nenegati
nenegati
negative
nenegati

FARMS

Figure 2. Schematic of The Steps in Developing Specific Pathogen Free Breeding Lines.
Specific pathogen free stocks developed by the USMSFP were developed in the spirit of the ICES
Guidelines (Table 2; Fig. 1). To begin the process, each “SPF candidate population” of wild or cultured
shrimpstocks of interest was identified. Samples of the stock were taken and tested using appropriate diagnostic
and pathogen detection methods for the specific pathogens of concern. If none were found, a founder population
(F,) of the “candidate SPF” stock was acquired and reared in primary quarantine. During primary quarantine, the
F, stock was monitored for signs of disease, sampled, and tested periodically for specific pathogens. If any
pathogens of concern were detected, the stock was destroyed. Those stocks that tested negative for pathogens of
concern through primary quarantine (which ran from 30 d to as much as 1 yr for some stocks) were moved to a
separate secondary quarantine facility for maturation, selection, mating, and production of a second (F,)

609

�generation. The F, stocks were maintained in quarantine for further testing for specific pathogens of concern.
Those that tested negative were designated as SPF, and used to produce domesticated lines of SPF and “high
health” shrimp (Wyban et al. 1992; Brock and Main 1994; Pruder et al. 1995; Lotz et al. 1995)

3. Major Diseases in Shrimp Culture
Farmed shrimp are infected by a range of disease agents including bacteria, viruses, fungi and protozoa.
This overview focuses mainly on viral and bacterial diseases that have had a significant impact on the shrimp
farming industry. There are a number of viruses that infect shrimp, but not all of them cause fatal diseases.
Infectious hypodermal and hematopoietic necrosis virus (IHHNV) has been observed in most commercially
farmed shrimp species. It appears to be harmless in some species such as the Asian tiger shrimp, Penaeus
monodon, but malicious in others causing mortality and growth retardation. There are a number of other viruses
such as the monodon baculovirus (MBV), hepatopancreatic parvo-like virus (HPV), and baculovirus penaei (BP)
that damage the cells of the hepatopancreas and make the shrimp susceptible to other disease agents. It is
believed that infection by these viruses causes a reduction in growth rates. As noted earlier, the three viruses that
cause acutely fatal diseases in shrimp farming are the white spot syndrome virus (WSSV), yellow head virus
(YHV) and Taura syndrome virus (TSV). All three viruses can cause extensive mortality within a few days of
the first clinical signs of the disease. As discussed below, the severity of a viral disease typically subsides in
about two years after the first incidence of the given disease. This apparently indicates some type of an adaptive
response to the disease agent. However, the viruses are never completely eliminated. They resurface periodically,
particularly at times of stress, to cause large-scale mortalities. Furthermore, growth retardation often coincides
with viral infections resulting in economic losses.
The most important diseases of cultured penaeid shrimp, in terms of economic impact, in Asia, the
Indo-Pacific, and the Americas have infectious agents as their cause (Tables 3, 4). Among the infectious diseases
of cultured shrimp, certain viruscaused diseases stand out as the most significant. The impact of White Spot
Disease (WSD) due to white spot syndrome virus (WSSV) has been particularly noteworthy. Rosenberry (2001)
estimated that disease due to WSSV “robbed the industry” of approximately 200,000 MT of production in 2000
worth more than $1 billion. The viral disease pandemics caused by WSSV and Taura Syndrome Virus (TSV)
that began in 1992 and caused billions in lost revenue have forever changed the shrimp farming industry (Table
1; Lightner 2005). The social and economic impacts of the pandemics caused by these pathogens in countries in
which shrimp farming constitutes a significant industry have been profound. In the wake of the viral pandemics
the shrimp culture industry has sought ways to restore the industry’s levels of production to the “pre-virus” years.
The application of biosecurity to shrimp farming is central to those efforts. Some of the most important diseases
(and their etiological agents) were once limited in distribution to either the Western or Eastern Hemisphere and
many of the most significant shrimp pathogens were moved from the regions where they initially appeared to
new regions even before the “new” pathogen had been recognized, named, proven to cause the disease, and
before reliable diagnostic methods were developed. The diseases, due to the shrimp viruses IHHNV (infectious
hypodermal and hematopoietic necrosis virus), TSV, and WSSV, were all transferred with live shrimp stocks
from country to country and from one continent to another well before their etiology was understood (Lightner
2003).

Viral diseases
White Spot Syndrome Virus
Yellow head Virus group
Taura Syndrome Virus
MBV group
IHHNV
HPV group
RE0 group

Bacterial and fungal diseases
Vibriosis:
-septic HP necrosis
-hatchery vibriosis
-luminescent vibrio
Other bacteria:
-Rickettsia
Fungal:
-Larval mycosis
-Fusariosis

Other diseases
Epicommensals and parasites:
-Leucothrix mucor
-peritrich protozoans
-gregarines
-microsporidians
Nutritional imbalances
Toxic syndromes
and environmental extremes

Table 3. Major Diseases of IndoPacific and East Asian Penaeid Shrimp (Lightner, 2005)

610

�Viral diseases
White Spot Syndrome Virus
Taura Syndrome Virus
IHHNV
BP group
HPV group
IMNV
RE0 III
LOVV
RPS

Bacterial and fungal diseases
Vibriosis:
-Sindrome Gaviota”
-hatchery vibriosis
-luminescent vibrio
-shell disease
-septic HP necrosis
Other bacteria:
-NHP bacterium
Fungal:
-Larval Mycosis
-Fusariosis

Other diseases
Epicommensals and parasites:
-Leucothrix mucor
-peritrich protozoans
-gregarines
-microsporidians
Nutritional imbalances
Toxic syndromes
and environmental extremes
Zoea II syndrome

Table 4. Major Diseases of The American Penaeids (Lightner, 2005)
3.1. Yellow Head Virus
Yellow head virus was first reported in Thailand in 1991. A related virus called Gill Associated Virus (GAV)
was reported from Australia in 1996. Yellow head virus caused severe disease outbreaks in Thailand until 1994.
The disease typically occurs in juveniles or sub-adults. A spurt in feed consumption followed by loss in appetite,
lethargy and erratic swimming are the gross signs first observed. Pale yellow coloration of the gills and
cephalothorax is often noted. Mortalities start within a few days and can reach as high as 100% in 3-5 days after
the gross signs are observed. Sporadic disease outbreaks still occur, mainly in Asia, but the mortalities are less
severe than past (Lightner, 2005).
3.2. White Spot Syndrome Virus
White spot syndrome virus was first reported in Japan in 1993, although it might have originated in China. This
virus has caused the most damage to the shrimp farming industry. It spread to almost all shrimp farming
countries of Asia in a span of three years. It was reported in the United States in 1995, and spread to Central and
South American countries in a span of four years. Almost all shrimp species have been affected. Further, most
crustaceans can be infected with the virus and become carriers. The characteristic feature of WSSV infection is
the presence of white spots or patches under the carapace, although this may not be present in all diseased
shrimp. Soon after showing general signs of ill-health such as reduced feed intake and erratic swimming,
mortalities occur. Mortality up to 100% may occur within seven days after the first sign of problems. The
infection may occur at any stage in the life cycle of the shrimp. Stressful conditions such as sudden changes in
environmental conditions, particularly lowered temperatures, trigger disease. Frequent WSSV disease outbreaks
still occur worldwide, but there are more and more cases of shrimp populations escaping severe mortality in spite
of WSSV infections (Lightner, 2005; Wyaban, 2009).
3.3. Taura Syndrome Virus
Taura syndrome was reported first in 1992 in Ecuador. Presence of TSV was reported in 1995. TSV spread
throughout the Pacific coast of Central and South America and mainly affected the Pacifc White Shrimp, P.
vannamei. Distinguishable gross signs of TSV are pale reddish coloration of the body, red tail fans, necrosis of
the cuticular epithelium, and soft shells. Mortality during molting is common. Sometimes, the shrimp are
affected only transitionally: gross signs of the disease may occur, but the shrimp may behave and feed normally.
While TSV still occurs, the catastrophic losses suffered in the early years of TSV infection are less common now.
3.4. Vibriosis
Infection by Vibrio spp. is the most common bacterial disease problem in shrimp culture. Vibrio spp. are
ubiquitous and naturally present in most aquatic ecosystems. Infections occur when shrimp are stressed or
unhealthy. Infections may also occur as a result of high concentrations of Vibrio spp. in the culture system. Some
species and strains, particularly V. harveyi, are more infectious than others. Shell lesions, black coloration of
gills and discoloration of shells occur as a result of vibriosis. Severe mortalities may follow acute infections.

611

�Chronic infections may result in erratic swimming behavior, abnormal coloration, external fouling and less
severe, but sustained mortalities (Lightner 2003, 2005).

4. Biosecurity Protocol for Shrimp Farming
Biosecurity protocol for shrimp farming included three main management strategies focusing on: (a)
pond bottom preparation and water management prior to stocking, (b) seed selection and stocking, and (c) poststocking management (Clifford and Cook, 2002; Wyaban 2009).
4.1. Pond Bottom Preparation and Water Management Prior to Stocking
- Removal of bottom sludge, Particularly in ponds stocking higher densities (up to 8 PL/m2).
- Plowing on wet soil if the sludge has not been removed completely.
- Use of lime in pond preparation.
- Disinfection of pond water
- Fertilization reduces the risk of disease outbreak in lower stocking density farms.
- Water filtration using twin bag filters of 250 µm mesh size.
- Water conditioning for 10–15 days before stocking.
4.2. Seed Selection and Stocking
- Uniform size and color post-larvae (PLs), actively swimming against the water current. Stocking of poor
quality of seed (less active, more mortality during transportation and size of less than 16 mm in case of nursery
reared juveniles increases the risk of shrimp disease outbreak.
- Stocking Pathogen Free (SPF) Larvae (SPF shrimp stocks are avaible in some countries)
- Longer transport time (&gt;6 hours) of the seed from hatchery or nursery to the pond also increases the likelihood
of a subsequent disease outbreak.
- Weak PL elimination before stocking using formalin (100 ppm) stress for 15–20 minutes in continuously
aerated water.
- On-farm nursery rearing of PLs for 15–20 days.
- Stocking into green water and avoiding transparent water during stocking.
4.3. Post Stocking Management
- Perform a visual inspection of the pond on a daily basis.
- Sampling for growth and survival
- Monitor shrimp health and the appearance of disease using animals collected in the weekly growth and
population samples
- Gut content and their color.
In general, 80% or more of the shrimp randomly sampled from a healthy, well nourished, recently fed pond
should display the intestinal tract (mid-gut) running the length of the tail to be full of food. In addition to
quantifying gut fullness and using it to detect under-feeding or predict the onset of disease, the color of the
shrimp’s gut contents can also be very informative (Table 5).

Gut Content Color
Black, dark brown
Light or golden brown
Red, pinkish
Green
Pale, whitish

Probable Food Item
Benthic detritus, sediment
Manufactured feed
Cannibalized body parts from
shrimp
Benthic algae
None (disease condition)

Probable Cause(S)
Under-feeding; inadequate feeding
Normal
dead

Disease event in pond
Under-feeding
Gregarines, or some other disease

Table 5. The Color of The Shrimp’s Gut Contents and Predict The Onset of Disease

- Use of water reservoirs, and 10–15 days aging before use in grow out ponds.

612

�- Water filtration-ponds using water filter nets of fine mesh have better production.
- Aeration-ponds using aeration tend to have higher shrimp production.
- High salinity and pH (&gt;8.5) have an affect on risk of disease outbreaks
- Green water (pond color) ponds have better production and lower risk of disease outbreak.
- Clear water with bentic and filamentous algae lead to lower production.
- Regular use of agricultural lime, especially after water exchange and rain.
- No use of any harmful/banned chemicals.
- Use of feed check trays to ensure feeding based on shrimp demand.
- Feeding across the pond using boat/floating device to avoid local waste accumulation.
- Regular removal of benthic algae.
- Water exchanges only during critical periods.
- Weekly checking of pond bottom mud for blackish organic waste accumulation and unpleasant odor.
- Regular shrimp health checks, and weekly health and growth monitoring using a cast net.
- Removal and safe disposal of sick or dead shrimp.
- Emergency harvesting after proper decision-making.
- No draining or abandoning of disease-affected stock
4.4. A Biosecure Farm Model
A drawing showing a 100-ha farm comprised of fifty 2.0-ha ponds with a centralized pumping and
ozone contact facility is presented in Fig. 2. The gross farm area of 182 ha includes 18 ha of pond surface area
committed to a series of sedimentation, aeration, and retention ponds (Schuur, 2003).
The mechanical area includes a forebay or pumping basin that is accessed by gates for selecting water
supply from either the treatment pond in a recirculation mode, or the raw water source in an exchange
replenishment mode. From the forebay the water is pumped through an ozone injection device and then through
a contact channel with sufficient volume to allow a minimum of 10 min retention time in a maximum flow
situation. The effluent from the contact chamber is discharged into the primary supply channel that encircles the
entire perimeter of the farm. The pump lift from the forebay is about 3 m in order to provide a sufficient
hydraulic gradient for gravity distribution by the supply channel network to all of the ponds. The supply channel
has cross-sectional area sufficient to carry peak flows to the furthermost ponds with only a minor loss of head.
The nearly square configuration is optimal for reducing the farm perimeter to a minimum for
biosecurity purposes. There is an all-weather dike-top roadway outside the supply channel encircling the farm
perimeter of roughly 5.4 km. For security purposes the farm perimeter can be circuited in about 10 min at a
modest vehicle speed. The external roadway traffic naturally inhibits plant growth and cover for terrestrial crabs
that might seek access. A further barrier to intrusion inside the roadway is a short fence constructed with metal
or plastic sheet material embedded in the ground and suspended by stakes. This barrier is a common feature of
many intensive farms in combination with lime and pesticide application. The roadway also provides a ‘killing
zone’ before the barrier where any potential carriers can be detected and eliminated.
About 18% of the production pond surface is allocated to serial treatment ponds that provide
sedimentation, aeration, and retention in order to improve water quality within the farm. The two sedimentation
areas can be used in series or parallel flow, or in some cases one at time while the other is being dried and
reconditioned. Additional retention time improves the water quality by providing additional area for autotrophic
and/or heterotrophic processes to absorb and digest ammonia and organic matter. Mechanical aeration applied in
the series provides more efficient oxygen transfer efficiency to the farm as a whole. This is due to the additional
driving force provided by the difference between oxygen-depleted water from sedimentation ponds and the
effluent concentration at the discharge of the aeration lagoon.

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Wyban J. A., J. Swingle, J. N. Sweeney, Pruder, G. D. (1992). Development and commercial performance of high health
shrimp from SPF broodstock Penaeus vannamei. p. 254-260 in J. Wyban, editor. Proceedings of the Special Session on
Shrimp Farming, Orlando, Florida, 22-25 May 1992. World Aquaculture Society, Baton Rouge, Louisiana, USA.

615

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                <text>Biosecurity and Major Diseases in Shrimp Culture</text>
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                <text>Turkmen, Gurel
Toksen, Erol</text>
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                <text>The global shrimp aquaculture has passed its 30th year as a significant and rapidly  growing and now represents a multi-billion dollar a year industry. More than half of the  global shrimp supply now comes from farms. Recent statistics show that in 2008, 3,399,105  metric tons (MT) of the total world supply of 6,519,671 MT of shrimp (or 52%) were  produced from aquaculture. However, shrimp farmers have suffered significant economic  losses over the last decade, largely from viral diseases that have plagued the industry. In Asia,  mortalities of cultured shrimp due to White Spot Syndrome Virus (WSSV) and Yellow Head  Virus (YHV) have resulted in significant economic losses, and Taura syndrome virus (TSV)  is now spreading throughout this region. Similarly, in the Western Hemisphere, both WSSV  and TSV have caused catastrophic losses on shrimp farms. In Ecuador alone, WSSV was  responsible for an estimated 53% decline in shrimp production from 1998 to 2000, resulting  in a loss of export revenue in excess of $516 million. It is believed that these diseases are  transferred between regions through the importation of hatchery broodstock, postlarvae and  shrimp products. Once new pathogens are imported to an area, infection of wild stock appears  to be inevitable, eliminating future possibilities of using uncontaminated wild stock to culture.  Good biosecurity measures are vital to maintaining healthy animals, to reducing the risk of  acquiring diseases in aquaculture facilities and to harvest high quality good yield. Thus,  biosecurity measurements for a shrimp farming facility includes; disease prevention, disease  monitoring, effectively managing disease outbreaks, cleaning and disinfection between  production cycles and general security precautions.</text>
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                    <text>Biotechnology and Aquaculture in Sustainable Development
Altunok Muhammet, Peker Zerife, Serezli Ramazan, Tekinay Ahmet Adem, Kizak Volkan
Izmir Katip Celebi University, Faculty of Fisheries, Izmir, Turkey,
Tunceli University, Faculty of Fisheries, Tunceli, Turkey,
E-mails:
muhammet.altunok@hotmail.de,zerifesude@hotmail.com,ramazan.serezli@hotmail.de,
aatekinay@yahoo.com, volkan.kizak@tunceli.edu.tr
Abstract
Aquaculture is the fastest growing food sector in the world with its increasing role for
economy and safe food strategy of countries. Due to the continuing depletion of the fish
stocks, farming of aquatic organisms such as fish, crustaceans, molluscs and aquatic plants, is
now a substantial global industry supplying a significant proportion of the aquatic products
consumed. Shortage in food supply and high prices are the possible important risks in the
future, and aquatic products are the valuable sources of protein and essential nutrient
components for global food security and eliminating malnutrition. Aquaculture also plays an
important role in rural economies through the creation of new employments. In these cases,
aquaculture outputs will need to be enhanced several fold in order to meet the rising demands
for fish and other aquatic products in coming years.
Biotechnology options seem to be good potential for increasing aquacultural productivity,
food security and environmental quality worldwide. Biotechnology is offering valuable
options such as protein expression, microsatellite, gene mapping and genomic, DNA vaccines,
DNA chips, proteomics, transgenic technology and embryonic stem cell technology. This
technology provides genetic manipulations, molecular cloning, embryo manipulation,
genetically-engineered diagnostics, immunoprophylactic agents. All of these applications
could help improve the selective breeding, hybridization, productivity, health, growth,
nutrition, cryopreservation and conservation of genetic resources in aquacultural stocks for
the benefit of mankind. However, there is need for the regulation of biotechnology activities
in terms of the potential adverse impacts on the environment and human health. There is also
increasing concern about the impact of biotechnology on sustainable development in various
fields. The main environmental safety issue of these applications is the effects of genetically
modified organisms (GMOs) on biodiversity and gene transfer in the environment. Therefore,
this review discussed the integration of biotechnology and biosafety in aquaculture, and
policies for the environmentally sound use and management of aquacultural biotechnology in
sustainable development.
Keywords: Biotechnology, Aquaculture, Sustainable Development, Food security, Public
health

182

�1.INTRODUCTION
Aquaculture is the farming of aquatic organisms such as fish, crustaceans, molluscs and
aquatic plants under controlled conditions. Aquaculture is the fastest growing food sector in
the world with its increasing role in the economic development and safe food strategy of
countries. Recently aquaculture sector is faced with several challenges such as low
productivity, low diversification of species, high competition in the market and environmental
impacts that have resulted from the intensification and global development of aquaculture
industry. Seasonal fluctuations in environmental conditions and in the supply of resources
with good quality and stable costs such as feeds are also prevalent. Biotechnology is one tool
that holds much promise towards addressing these aquacultural problems. The relatively new
tools of biotechnology offer significant opportunities to improve aquacultural productivity
and environmental quality worldwide. Today biotechnology has developed creative new
methods to detect the gene liable for specific characteristics, such as disease resistance,
nutrient composition, and insert them into another fish or aquatic organism (Fletcher et al.,
2011). Biotechnology offers tremendous potential for improving production and it provides
opportunities to reduce the need for additives in feeds and the use of chemicals (e.g.
hormones). Advanced biotechnology in feed are rapidly evolving and promise to improve the
composition, digestibility and bio-availability of feed towards high growth rate (Brinker and
Reiter, 2011). All of these contribute to increase the intensity and produce more products at
less economic and environmental cost, thereby helping to build global food security and more
sustainable and environmentally friendly farming.
Aquacultural biotechnology could generally be separated into techniques; biochemical and
molecular markers, protein expression technology, microsatellite, RFLP and QTL analysis
and applications (gene mapping, gene cloning, transgenesis, population genetics, chromosome
(ploidy) manipulation, gynogenesis, androgenesis, sex reversal, proteomics, DNA chips
technology and embryonic stem cell technology. Protein expression technology allows
producing many bioactive molecules such as hormones, gonadotropins and enzymes. DNA
fingerprinting and mapping technologies are principally used in stock idenfication, breeding
selection and identification of genetic markers for significant traits such as growth
enhancement and disease resistance in the genome (Hew and Fletcher, 2001). This technology
is more effective and faster than traditional breeding techniques to develop new strains.
2.Sustainable development of aquaculture
According to the current trends in food sectors, wild fisheries, natural stocks and demand for
aquaculture products, it is awaited that aquaculture will become a major driving force to
increase food production worldwide. Products from aquaculture will need to be increased
several fold in order to meet the rising demands for fish and other aquatic foods in coming
years (Figure 1). It was recently estimated that aquaculture provides about 50% of all the fish
consumed by human today (FAO, 2010). On the other hand, the aquaculture industry will
have to double its food produce with less land and water in the next decades, mainly because
of growing pressures from urbanisation, industrialisation and climate change. Moreover,
water scarcity that results in competition for water amongst local people, farmers and
industry, is raising the potential for conflict.

183

�Figure 1. Projected supply of food fish originating from aquaculture and capture fisheries;
based on assumed constant capture fisheries production, constant production of fish meal,
constant demand for food fish and projected population increases. The line at 2015 represents
the point where the food fish supply from aquaculture is projected to equal that from capture
fisheries.(FAO, 2007):
The intensification of aquaculture has led to concerns attached to environmental impacts, food
safety, animal health and welfare, and socio-economic issues (Subasinghe et al., 2009). All of
these factors influence the sustainability in development of current aquaculture system. As a
principle for the sustainable development of aquaculture, it can be said that as the
improvement of economic productivity for aquaculture is necessary and this must be
environmentally acceptable. Therefore, the ecosystem where the aquaculture operation takes
place has to be identified to control unwanted interactions. The identifying process includes a
wide range of topics relevant to ecological equilibrium and biodiversity conservation. Hence,
environmental acceptability is the most difficult component of the sustainable development.
In addition to this, as an indicator, economic viability and improving the economic
performance of the aquaculture practices are also critical to achieve the improvements in
aquaculture efficiency and to meet the world's increasing demand for aquatic food.
General trends in development of the aquaculture sector are the following (Subasinghe, 2007):
(a) continuing intensification of aquaculture production;
(b) continuing diversification of species use;
(c) continuing diversification of production systems and practices;
(d) increasing influence of markets, trade and consumers;
(e) enhancing regulation and improving governance of the sector and
(f ) increasing attention on better management of the sector.
Aquaculture production increases but there is a question remains whether the industry grows
in a sustainable manner and fast enough to meet the future projected demand while preserving
the natural resources. To cope with this global uncertainity, biotechnology plays a key role in
the sustainable development of aquaculture includes economic and social development as well
as environmental protection throughout the world. Application of biotechnology to production
184

�of aquatic species has great potential to improve aquaculture and to meet demand for aquatic
foods. Along with increasing production of aquatic food products, biological techniques
should be applied to increase productivity and improve product quality. In parallel, there are
several potential key contributions of biotechnology both to increase resistance against
diseases and to increase growth rates of aquatic species. Biotechnology contributes to
sustainable aquaculture by reducing the dependence on chemicals, particularly antibiotics,
through the deployment of genes conferring resistance to diseases. Biotechnology also
provides powerful tools for the enhancement and protection of wild and cultured aquatic
species, particularly the improvement of fish stocks in commercial aquaculture production.
Also, biotechnology allows the production of species in more quantities on the same area
(intensification) at a lower cost, the support biodiversity and vital ecosystems, and the
reduction of environmentally damaging aquacultural practices.
3.Aquacultural biotechnology
Biotechnology has potential to affect aquaculture and can provide at least a partial solution to
the problem of feeding the world‘s growing population because without dramatic increases in
production this cannot be achieved. Exploiting more resources such as more water, fish for
meal and oil, and heavy use of chemicals for aquacultural use is environmentally
unsustainable. Modern biotechnology has also opened up opportunities to increase production
and enhance the quality of fresh and processed farmed species. In addition, farmed species are
now being developed to resist disease, and this will reduce losses and allows increased
production on same area, and therefore bring possible benefits to rural areas. Finally
biotechnology can contribute significantly to aquaculture industry, for example by helping to
make more diversification in farmed species that will more attractive to consumers. Modern
biotechnology will be a useful for the genetic improvement of aquacultured species and the
protection and management of wild aquatic populations.
4.Genetically modified species (Transgenics)
Recently, aquaculture sector is growing and developing in biotechonogy advance for genetic
improvements in aquatic species. As a main application of modern biotechnology transgenics
are new varieties of species have been bred by cross of two strains in order to transfer
desirable traits from each into the new variety to improve the genetic traits of the species used
in aquaculture. Transgenics involves the selective transfer of one or more genes for desired
traits from one variety to another. These traits may include improvement of growth rates,
larger size, more efficient feed convertion into muscle and control of sexuel maturation (Elzaeems, 2004). growth hormone genes from human or animal sources was successfully
introduced into several fish species such as salmon, trout and tilapia, resulted several times
faster growth than their natural counterparts. This is a faster and more accurate method of
breeding new varieties. If desired traits cannot be achieved by traditional breeding, the
transfer of genes between species also is possible. For exemple, better tolerance to
environmental stresses and increasing of resistance to extreme environments are important
applications to establish unique characteristics and produce a valuable biological product such
as antifreeze protein gene (AFP) transfer in fish for adaptation to a freezing environment
(Hew at al., 1992). In this regard, one more constraints should be the potential impacts of
climate change on aquaculture. Biotechnology responsible for the practical response to
climate change and can help to strengthen the adaptive capacity and resilience of the sector.
Tolerant of low oxygen levels in the water is a desirable genetic trait that can also be
185

�developed in the aquatic organisms by using different transgenic techniques. Intensification
and sustainable development of aquaculture will rely on disease prevention, and therefore,
biotechnology is essential way for greater resistance to pathogens and improvement of farmed
species health through selection for disease resistance (El-Zaeem and Aseem, 2004). Also, by
using this technique disease transfer between cultured and wild populations can be reduced.
New products and market opportunities can be developed related to aquatic species welfare.
There are two main techniques to transfer genetic material in fish. These are micro-injection
(injection of genetic material into newly fertilized fish eggs) and electroporation (transferring
of DNA into embryos or directly into tissues through the use of an electrical current).
RISK: However recent concerns about genetically modified species and food products derived
from them may curtail their widespread use. GMOs have not gained worldwide acceptance.
At this point, there is not enough independent scientific research to introduce their potential
risks to human health. Horizontal gene transfer from genetically modified plants to
microorganisms was shown in a previous study that genes from a transgenic crop move
quickly into weedy population (Snow at all., 1999). Questions concerning the transfer of
allergenic proteins and potential ecological impact of virus-resistant transgenic plants have
been also raised (Tepfer, 2002). Transgenic fish is offered new species for aquaculture
development but any escapes into the environment can threat wild populations and
biodiversity8.
5.Hybridization
Hybridization is a simple genetic technology that is the most practical way is the crosses in
captivity of males of one species and females of the other. Inter-specific hybridisation have
been practiced for aquaculture to increase growth rate, transfer or combine desirable traits of
two species and increase resistance to culture conditions. Hybridization also produces
monosex populations for the advantage of sexual dimorphism when the sex-determining
mechanisms in the parental lines are different such as hybridisation of tilapias. It is also
preferred for stocking programmes to reduce unwanted reproduction through production of
sterile fish or mono-sex populations and increase environmental tolerances. It is widely
practiced with many fish species throughout the world such as hybrid striped bass in the USA,
hybrid clarid catfish in Thailand and salmonids in general. This helps diversification and to
ensure a steady and consistent supply of fish to the market. The development of artificial
breeding techniques and the improvements in reproductive technologies allows more
domestication of aquatic species and mating many of them through artificial fertilization after
hand striping eggs and milt from fish. In marine fish culture, sterile hybrid fish should be
usefull because of the environmental concern (unwanted reproduction). Despite its
widespread use, hybridization has still to cope with some problems depend on the genetic
structure of the parents, particularly in the context of unexpected and undesirable results in
hybrid progeny, such as failure to produce sterile fish, loss of color pattern, and reduced
viability.
RISK: Hybridization does represent a genetic modification wherein genes are moved between
different species. Thus, escaped hybrids may be aquaculture industry's biggest environmental
challenges regarding to the genetic resources and biodiversity.
6.Hormonal applications
Biotechnological tools can be applied to induce breeding of fish and early development of
aquatic species. Gonadotropin releasing hormone (GnRH) is the most used now in the
induced breeding of fish and marked commercially throughout the world (Alok et al., 2000).
186

�Hormonal stimulation allows year-round production of gametes and fry of economically
valuable species. Domestication of species for aquaculture is necessary and the number of
domesticated aquatic species is still rising rapidly. Hormone therapy is applied to improve and
control of reproductive cycles during the domestication. Similarly, this tool may provide
techniques for improving the reproductive success and survival of endangered species,
thereby helping to preserve the biodiversity in wild. Higher growth of species in aquaculture
sector is one of the main goals for farmers, and therefore various types of growth hormone is
applyed in fish and other aquatic animals. Hormone treatment also includes inducing sterility
and triploidy.
RISK: Hormones are issues of great public concern because they pose a serious threat to
human and environment. The significance of these substances for the environment and human
health is not yet fully understood but they accumulate in environment and play important role
on sexsual dimorphism, fertility and toxicity in ecosystem.
7.Chromosome set manipulation
Chromosome manipulations have been applied extensively in the improvement of fish
breeding for gonadal sterilization, sex control and clonation. It is important practical way in
cultured fish species to induce polyploidy and uniparental chromosome inheritance. There are
two types of uniparental inheritance: gynogenesis that is the process of development with
maternal inheritance and androgenesis that is paternal. Poliploidy used to induce triploids to
produce sterile progenies. Induction of tetraploidy provides sterile triploids through
interploidy crosses between tetraploids and diploids. The technique also can be used to
generate homozygous lines in fish such as tilapias, cyprinids and salmonids.
8.Cryopreservation
Cryopreservation is a process where biological material is long-term preserved by cooling to
low temperatures usually at −196 °C in liquid nitrogen. As any physiological activities and
biochemical reactions is tranquilized and effectively stopped at these low temperatures,
therefore making it possible to keep them viable for long period. Cryoprotectant solutions are
used in the process to prevent preserved cells from damage due to freezing during the cooling
and thawing process. The development of cryopreservation technology provides short and
long term storage of gametes, and thus the technology has been adapted to cryopreservation of
fish spermatozoa. Application of the method to aquaculture increases the flexibility in
breeding of species; specificly if the sexes mature at different times (in hybridization) or
spawning season is very short. Cryopreservation overcomes problems of low amount of
semen from males in photoperiod treatment. The resulting benefits could include year-round
production of gametes and creation of new markets (cryopreservation of genetically improved
or phenotypic sperm). Gene banking of cultivated and wild aquatic organisms is also essential
and the technique may help to conserve genetic resources and biodiversity.
9.Aquatic species health and vaccines
Disease has become a primary constraint to sustainable aquaculture production and
improvements in aquatic animal health are coming from modern biotechnology.
Biotechnological tools such as gene probes and polymerase chain reaction (PCR) has showed
great potential in this area. Genetically engineered (DNA) vaccines are also being developed
to protect fish against pathogens and are expected to replace other methods of vaccine
187

�production. In general, DNA vaccines contain only genes of the pathogen, which produce the
antigen whereas conventional vaccines are made from live, weakened or killed pathogen. The
cost of this technique is low compared to producing weakened live organisms and these
vaccines more stable at normal temperatures. Previous studies showed that the non specific
defense system can be stimulated using microbials such as lipopoliysacharides,
peptidoglycans or glucans (Soltanian at al., 2009). This technology has been adopted for
aquaculture to improve the health and well being of cultivated aquatic organisms. The
development of new vaccines help the organisms recognize and fight diseases causing losses
to millions of dollars annually throughout the world. It also prevents the using chemicals in
aqauaculture, means preventing chemical pollution in environment and potential hazardaous
effects to human health.
RISK: However, genetically modified vaccines carry significant unpredictability and a
number of inherent harmful potentials and hazards such as potential risks about the vaccine
DNA to invade the host‘s genome and possibly trigger genes relating to tumour development.
Effects of these vaccines on the non-targeted species, possible genetic recombinations with
naturally occurring relatives and hybrid virus progenies are other unpredictable options. There
is, therefore, a great deal of caution surrounding the development of DNA vaccines at this
time.
Feed production
Nutrition is essential in maintaing a healthy stock in a sustainable and profitable aquaculture
and still in the developing stage. As feed costs rise and markets become more competitive,
biotechnological aplications are currently being used in the feed sources and the improvement
of the feed composition. In the farming of aquatic species fish meal is the most common
protein source in diets. However, wild fish stocks are declining and the available fish
resources will not be enough to meet the increasing demand for fish meal and fish oil.
Therefore, there are environmental concerns regarding fish feed such as conservation of wild
stocks and waste dischargers into the water due to excess phosphorus in diets causing
eutrophication. These are main limiting factors regarding to feed in sustainable development
of aquaculture, thus biotechnology are used to produce alternative plant based protein sources
because plants contain anti-nutritional compounds and requires processing to improve its
quality. In this regard, biotechnology allows the producing feed enzymes that help to improve
the utilization of plant-protein based feed by aquatic species. As another environmental
concern regarding the problem of phosphorus pollution, modern biotechnology is working on
the development of low environmental-loading feed.
10.CONCLUSION
Aquacultural biotechnology is now evolving very rapidly and making a significant
contribution to the development of sector. In general, the technology promises immense gains
in food security, economic issues and environmental protection. Efforts are directed to:
the improvement of fish feed quality;
genetic engineering in order to improve the protein value of fishes;
the reproduction of species;
disease diagnoses;
hybridization technology
188

�genetic engineering for the production of vaccines.
the treatment of pollutants generated by aquaculture.
All of these factors influence the sustainability of an aquaculture system and may play
fundamental role in future aquacultural development policies. Improved productivity and the
resulting increase in production would benefit the rural poor by providing more food, poverty
reduction and through improved employment opportunities. Advances in biotechnology
applied to aquaculture can be useful in understanding waste treatment and reducing pollution
risks. To eliminate uncertainties and vulnerabilities in the risks, governmental support is the
essential element in enhancing aquaculture development without any environmental impact.
Thus, sustainable biotechnological applications in aquaculture have to be identified and
developed according to the risk assessments of the product and method. There are some
principles that aquacultural biotechnology must adhere to in order to be sustainable, namely;
environmentally acceptable in terms of methods, improved species and discharges.
safety for human health
large scale and heavy restrictions for non-native and geneticly modified species (farming in
land-based tanks)
supporting the long-term economic and social well-being of local communities
ensuring a strong healthy and welfare for farmed species
economically feasable and sustainable
more investment for biotechnology industry.
achieving a sustainable feed resources
promoting good menagment
involving human resource development
regulations of the modifications
Biotechnology is almost becoming an industry but still there is no any knowledge what the
impacts will be. Moreover, biotechnology has raised important ethical and morality issues
which need to be carefully addressed before its application to aquaculture. Therefore, to
ensure maximum social benefit at minimal risk is high on the policy agenda of the countries
In addition development of biotechnology will need to be shared among diferent disciplines
and stakeholders. In this regard, educating of decision-makers in food safety and
biotechnology regulation will be also very important. In conclusion biotechnology is
important key for aquaculture, but it might still be too early to judge the future impact of
biotechnology on its sustainable development.
REFERENCES
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hormone (GnRH), its agonists with structural modifications at positions 6 and 9, mammalian
GnRH agonists and native cGnRH-II on the spawning of an Indian catfish. Aquaculture
International 7, 383-392.
Brinker, A., Reiter, R. 2011. Fish meal replacement by plant protein substitution and guar
gum addition in trout feed, Part I: effects on feed utilization and fish quality. Aquaculture
310:350-360.
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�El-zaeems, S.Y. 2004. Alteration of the productive performance characteristics of Orechromis
niloticus and Tilapia Zillii under the effect of foreign DNA injection. Egypt J. Aquat. Boil.
Fish. 8(1): 261-278.
El-Zaeem, S.Y., Aseem, S.S. 2004. Application of biotechnology in fish breeding: 1 –
production of highly immune genetically modified Nile, tilapia Orechromis niloticus with
accelerated growth by direct injection of Shark
FAO. 2007. The role of aquaculture in sustainable development. Thirty-fourth Session. 17-24
November 2007, C 2007/INF/16 Rome. FAO. 10 pp.
FAO. 2010. The State of World Fisheries and Aquaculture. Rome. 197 pp.
Fletcher, G. L., Hobbs, R. S., Evans, R. P., Shears, M. A., Hahn, A. L., Hew, C. L. 2011.
Lysozyme transgenic Atlantic salmon (Salmo salar L.). Aquaculture Research, 42: 427–440.
Hew CL, Davies PL, Fletcher G. 1992. Antifreeze protein gene transfer in Atlantic salmon.
Mol Mar Biol Biotechnol. 1(4-5):309-17.
Hew, C.L., Fletcher, G.L. 2001. The role of aquatic biotechnology in aquaculture.
Aquaculture 197, 191-204.
Snow, A.A, Andersen, B, Jørgensen, R. 1999. Costs of transgenic herbicide resistance
introgressed from Brassica napus into weedy B. rapa. Molecular Ecology 8:605–615.
Soltanian, S., Stuyven, E., Cox, E., Sorgeloos, P., Bossier, P. 2009. Beta-glucans as
immunostimulant in vertebrates and invertebrates. Critical Reviews in Microbiology , 35:
109–138.
Subasinghe, R.P. 2007. Aquaculture: Status and Prospects. In ―Role of Aquaculture in
Sustainable Development. FAO Department of Fisheries and Aquaculture, Rome, Italy.
Subasinghe, R., Soto, D., Jia, J. 2009. Global aquaculture and its role in sustainable
development. Reviews in Aquaculture, 1: 2–9.
Tepfer, M. 2002. Risk assessment of virus-resistant transgenic plants. Annual Review of
Phytopathology. 40, 467-491.
Environmental Impact of Hydroelectric power plants (HPP) and Fishways
Mehmet Kocabaş1, Nadir Başçinar2, Filiz Kutluyer3, Önder Aksu3
1 Karadeniz Technical University, Faculty of Forestry, Department of Wildlife Ecology &amp;
Management, 61080, Trabzon, Turkey
2Karadeniz Technical University, Faculty of Marine Sciences, Department of Fisheries
Technology Engineering, 61530, Trabzon, Turkey
3Tunceli University, Fisheries Faculty, 62000, Tunceli
Abstract
Hydroelectric power plants (HPP), which are not cause environment pollution relatively and
renewable, inexpensive, has increased importance. However, there are positive and negative
impacts on the ecological balance of these systems. One of the main environmental impact of
hydropower development is related to fish passage both upstream and downstream.
190

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                <text>Aquaculture is the fastest growing food sector in the world with its increasing role for  economy and safe food strategy of countries. Due to the continuing depletion of the fish  stocks, farming of aquatic organisms such as fish, crustaceans, molluscs and aquatic plants, is  now a substantial global industry supplying a significant proportion of the aquatic products  consumed. Shortage in food supply and high prices are the possible important risks in the  future, and aquatic products are the valuable sources of protein and essential nutrient  components for global food security and eliminating malnutrition. Aquaculture also plays an  important role in rural economies through the creation of new employments. In these cases,  aquaculture outputs will need to be enhanced several fold in order to meet the rising demands  for fish and other aquatic products in coming years.  Biotechnology options seem to be good potential for increasing aquacultural productivity,  food security and environmental quality worldwide. Biotechnology is offering valuable  options such as protein expression, microsatellite, gene mapping and genomic, DNA vaccines,  DNA chips, proteomics, transgenic technology and embryonic stem cell technology. This  technology provides genetic manipulations, molecular cloning, embryo manipulation,  genetically-engineered diagnostics, immunoprophylactic agents. All of these applications  could help improve the selective breeding, hybridization, productivity, health, growth,  nutrition, cryopreservation and conservation of genetic resources in aquacultural stocks for  the benefit of mankind. However, there is need for the regulation of biotechnology activities  in terms of the potential adverse impacts on the environment and human health. There is also  increasing concern about the impact of biotechnology on sustainable development in various  fields. The main environmental safety issue of these applications is the effects of genetically  modified organisms (GMOs) on biodiversity and gene transfer in the environment. Therefore,  this review discussed the integration of biotechnology and biosafety in aquaculture, and  policies for the environmentally sound use and management of aquacultural biotechnology in  sustainable development.  Keywords: Biotechnology, Aquaculture, Sustainable Development, Food security, Public  health</text>
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                    <text>Bir Bektâşî Şairin Diliyle Nevrûz Ve Çiçekler
Melek DİKMEN

Süleyman Demirel Üniversitesi, Isparta/Türkiye
kahraman_melek@hotmail.com.
Kamile ÇETİN

Süleyman Demirel Üniversitesi, Isparta/Türkiye
kamilecetin80@gmail.com.
Özet: Toplum hayatını en çok etkileyen mevsimlerden biri olan baharın gelişi, tüm
dünyada yapılan değişik törenlerle coşkulu bir biçimde kutlanır. Türklerde de baharın
gelişi bir bayram kabul edilir ve bu bağlamda ilk akla gelen Nevruz Bayramı’dır.
Nevrûz, Osmanlı döneminde de sayılı günlerden biri olarak kutlanmıştır. Bu durumun
edebî hayattaki yansımalarından biri, baharın başlaması münasebetiyle kaside, gazel
gibi nazım şekilleriyle kaleme alınan ve başta padişah olmak üzere devlet ricaline
sunulan nevruziyye adlı şiirlerdir.
Bu tebliğde, bir Bektâşî şairi olan Mehmet Ali Hilmi Dede Baba’nın ihtiva ettiği değişik
çiçek adlarıyla dikkati çeken “Nevrûziyye” başlıklı şiiri değerlendirilmeye çalışılacaktır.
Anahtar Kelimeler:Mehmet Ali Hilmi Dede Baba, Nevruz, Nevrûziyye, Çiçekler.

Bahar, tabiatın canlanması, havaların ısınması gibi özellikleri ile toplum hayatını en çok etkileyen
mevsimlerden biridir. Bu sebeple tüm dünyada baharın gelişi, yapılan değişik törenlerle coşkulu bir biçimde
kutlanır. Bu bağlamda bahar, daha çok toprağa bağlı bir hayat sistemine sahip olan Türk milleti için de son
derece önemlidir. Bu yüzden Türklerde baharın gelişi âdeta bir bayram olarak değerlendirilir. Bahar denilince ilk
akla gelen ise Nevruz Bayramı’dır.
Nevruz sözcüğü Farsça nev (yeni) ve ruz (gün) kelimelerinin birleşmesinden meydana gelmiş olup,
“yeni gün” anlamına gelmektedir. Türk mûsikîsinde en eski makamlardan birinin adı da (Öztuna, 2000: 296)
olan Nevruz, eski İran takvimine göre yılın ilk günüdür ve güneşin koç burcuna girmesi sebebiyle ilkbaharın
başlangıcı sayılır. Farslara atfedilen bir bayram olan Nevruz, aslında Türkler için de birtakım manalar ve
semboller içeren çok önemli bir gündür. Bunlardan en çok dikkati çekeni, Ergenekon Destanı’nda anlatıldığı
üzere Göktürk Devleti’nin kurucusu olan Aşina ailelerinin Nevruz’da Ergenekon’dan çıktıklarına ve
özgürlüklerine kavuştuklarına inanılmasıdır. (Çay, 1996: 10; Koca, 2002: 52) Bu yönüyle de Nevruz, Türk
toplulukları için önemli bir fonksiyona sahiptir. İran geleneğinde öncelikle yılbaşı olarak kutlanan Nevruz, Türk
kültüründe baharı, yaşama sevincini, su ve kutsal arınmayı, yenilenmeyi, uyanan doğa ile birlikte bolluk-bereketi
ve üremeyi simgeleyen anlam ve öğelerle yüklüdür. (Altun, 2002: 17). Bütün Türklerde 21 Mart yılbaşı olarak
kabul edilir. Nevruz Bayramı sırasında köy, kasaba ve şehir meydanlarında veya kırlarda toplu yemekler yapılır,
hep birlikte kırlara çıkılarak eğlenilir; şölenler, yarışmalar, gösteriler, seyirlik oyunlar düzenlenir. (Pirverdioğlu:
44-48).
Nevruz, Osmanlı döneminde de özel günlerden biri sayılmış, devlet kademelerinden başlayarak halka
yansıyan bir şenlik havası ve hediyeleşme geleneği ile kutlanmıştır. (Halaçoğlu, 1996: 183-188; Köktürk, 2005)
Baharın başlaması münasebetiyle kaside, gazel gibi nazım şekilleriyle kaleme alınan ve başta padişah olmak
üzere devlet ricaline sunulan “nevruziyye” adlı şiirler Nevruz’un Osmanlılardaki önemine işaret etmektedir.
Klâsik Türk edebiyatında Nef’î ile Rami Paşazâde Ref’et Bey’in nevruziyyeleri ünlüdür. (Cunbur, 1995: 37;
Güzel, 1995: 98; Kılıç, 1999: 209)
Alevî-Bektâşî geleneğinde de Nevrûz kutsal bir gün kabul edilmiştir. Zira inanışa göre Hz. Ali bugün
doğmuştur. Bu sebeple Nevruz için “Sultan Nevruz” ve ““Mevlüd-i şah-ı velayettir bugün...” ifadeleri
kullanılmıştır. Aynı zamanda Hz. Muhammed’e peygamberliğin bugün verildiği, gece gündüz eşitliğinden dolayı
nübüvvet ve velayetin eşitlendiği, Hz. Ali ile Fâtıma’nın bugün evlendiği, Kerbela olayının da Nevruz günü
gerçekleştiği diğer inanışlarıdır. (Temren, 1995: 152-155). Şi’â inancına göre ise bugün Hz. Ali, Hz. Peygamber
tarafından halife ilan edilmiştir. (Çay, 1996: 9-10) Bazı bölgelerde yapılan Nevruz kutlamalarında halkın sabah
kırlara gittiği, gidemeyenlere koklamaları için nevruz çiçeği getirildiği, Hz. Ali’nin kokusunu yaydığı şeklindeki
inançtan dolayı kutsal kabul edildiği de kaydedilmektedir. (Uçkun, 2005: 165).
Nevruziyye türü şiirlerin Bektaşîlerde de var olduğu, cem âyinlerinde, Nevrûz bayramı gecesinde
dergâh bahçelerinde, kırlarda okunduğu bilinmektedir. Bu şiirlerde, tabiat sevgisi, Hz. Ali muhabbeti, yeni yıl
gibi hususlar söz konusu edilmiştir. (Çay, 1996: 91).

421

�Bu çalışmada, XIX. yüzyıl şairi olan ve aynı zamanda Bektaşî geleneğine mensup bulunan Mehmet Ali
Hilmi Dede Baba’nın38 (H.1258/H. 1287) Divanı’nda yer alan “Nevruziyye”si ele alınacaktır. Söz konusu şiir,
13 beyitten müteşekkil olup aruzun Mefâ’îlün Mefâ’îlün Mefâ’îlün Mefâ’îlün kalıbıyla kaleme alınmıştır.
(Noyan: 1325/1907).
Hilmi Dede-Baba, şiirine gam olarak nitelendirdiği kış aylarından sonra insanın gönlündeki sevinci,
neşeyi arttıran Nevrûz’un gelişine şükrederek başlamıştır. Nevrûz’un gelişiyle birlikte her taraf rengârenk
çiçeklerle bezenmiştir; elbette böyle bir görünüm insana keyif ve yaşama sevinci verecektir:
Bi-hamdillâh gidüp gam geldi Nevruz-ı neşât-efzâ
Bezendi sû-be-sû elvan çiçekle dâğ ile sahrâ
Bahar geldiğine göre bu mevsimin vazgeçilmez çiçeği olan gülün sahneye çıkması kaçınılmazdır.
Nitekim bu günlerde çeşitli süsler ve ziynetler ortaya koymak için gül bahçesinde birçok goncalar peyda
olmuştur:
Bahâr eyyâmı gûne zîb ü zînet bahş içün el-hak
Oluptur gülsitânda gül bedenden goncalar peydâ
Devam eden beyitte bir dadıya teşbih edilen yeryüzünün (dünya, toprak) nisan bulutu ile çemen
çocuğunu emzirdiğinden bahsedilmektedir. Bu şerefe nâil olduğu için yeryüzü dadısı yeşil bir kaftanla
ödüllendirilmiştir. Beyitte, baharın gelişiyle birlikte bilhassa Nisan ayında yağmurların yağması ve dünyanın
yemyeşil bir görünüme kavuşması “dadı-bulut-çocuk-emzirmek” şeklindeki bir tablo ile ifade edilmiştir:
Çemen tıflını emzirdikçe dâim ebr-i nisândan
Giyüpdür dâye-i arz ol şerefle hil’at-i hadrâ
Şairin bir sonraki beyitte pek çok bahar çiçeğini sahneye çıkardığı görülmektedir. Bu bağlamda ilk
çiçekler olarak şebboy, zerrin ve nergis söz konusu edilmiştir. Şeb-bû (şebboy), pembe, kırmızı, krem, açık sarı,
portakal renginde veya mor renkli çiçekler açan bir bitkidir. (Yücel, 2002: 98; Tırman, 1987: 212). Zerrin (fulya)
ise ilkbaharda çiçek açan bir bitki olup sarı veya sarımsı-kahverengi renkte çiçekleri vardır. (Yücel, 2002: 230;
Tırman, 1987: 169). Zerrin, eski toplum hayatımızda itibar görmüş çiçeklerdendir. (Polat, 2001: 187-189).
Nergis ise, sarı veya beyaz renkli çiçekler açar. (Yücel, 2002: 228; Tırman, 1987: 169). Mitolojiye göre
Narkissos adlı güzelliğine son derece mağrur bir perinin ölümüyle ortaya çıkmıştır. (Erhat, 2003: 211-212).
Nergis, Klâsik Türk edebiyatında hastalık, mahmurluk ve şehlâlık sıfatlarının sembolü durumundadır. Şiirlerde
çoğunlukla sevgilinin gözü ile mukayese edilir. (TDEA, “Nergis”: 14-15). Mehmet Ali Hilmi Dede Baba’nın
tasavvuruna göre, güzellerin elbiseleri şebboy kokusu ile kokulanırken zerrinin gözü açılmış; şehlâ nergis de
uykudan uyanmıştır. Klâsik şiirin genel anlayışına uygun olarak zerrin ile göz ve nergis ile de yine “tatlı şaşı; elâ
göz” arasında münasebet kurulmuştur. Beyitte, baharda bilhassa gece vakitlerinde âdeta insanı sarhoş eden, baş
döndürücü hoş kokulu çiçeklerin yer aldığı bir tablo çizilmiştir. Beyit “hoş koku” üzerinde şekillenmiştir:
Muattar oldu hubânın libâsı ıtr-ı şebbûdan
Açıldı dîde-i zerrîn uyandı nergis-i şehlâ
Bir önceki beyitte birden çok çiçek adına yer veren şair, devam eden kısımda çiçekler kadrosuna zülf-i
arûs ve sünbülü de eklemiştir. Zülf-i arûs (gelin perçemi), göz alıcı güzellikte ve beyaz, pembemsi mor,
morumsu mavi, krem rengi ve sarı arasında değişen renklerde çiçekleri bulunan bir bitkidir.
(http://www.killerplants.com/plant-of-the-week/20041206.asp) Sünbül (sümbül) bilindiği üzere, menekşe mavisi
veya beyaz renkli olup çok güzel kokan bir çiçektir. (Yücel, 2002: 186; Tırman, 1987: 223). Klâsik edebiyatta
sık rastlanan çiçeklerden olup şekli ve kokusu itibariyle sevgilinin saçına benzetilir. (Pala, 1998: 362). Beyitte
sarılıcı bir bitki olan zülf-i arûs, sevgilinin boyuna dolanmış olarak tasvir edilmiştir. Sümbül ise istiâre yoluyla,
sevgilinin kırmızı renkli yanağı üzerine dökülmüş hoş kokulu ve dağınık saçlarını karşılamaktadır. Bektaşî
geleneğinde sümbül, Nevruz’un simgelerinden biridir. Günümüzde de Bektaşîlerce hazırlanan Nevruz
sofralarında sümbül bulundurma geleneği vardır. Hz. Ali’yi anmak için her can, sümbülün kokusundan bir nefes
çeker. Fakat beyitte sümbülün bu anlamı ve kullanımı ile ilgili bir husus söz konusu edilmemiştir.
Sarıldıkça sarılmış zülf-i ‘arûs kadd-i dilcûya
Yakıştıkça yakışmış rûy-i âle sünbül-i ra’nâ
Devam eden beyitte bir gül bahçesi tablosu içinde şakayık, ortanca ve menekşe çiçeklerine yer
verilmiştir. Şakâyık koyu kırmızı renkte çiçekleri bulunan, (Yücel, 2002: 248; Tırman, 1987: 76) ortanca beyaz,
pembe, kırmızı ya da eflatun renkli, (Yücel, 2002: 186; Tırman, 1987: 207) menekşe ise mor, beyaz veya pembe
renkli çiçekleri olan bitkilerdir. (Yücel, 2002: 340; Oğuz vd., 1987: 169; Tırman, 1987: 157). Beyitte şakayık,
bahçede ortanca çiçeğiyle arkadaş olmuş iken menekşe, gül bahçesinin tenha bir köşesinde yalnız başına, boynu
bükük bir vaziyette yatmış bir kimse olarak teşhis edilmiştir:
38

“Mehmet Ali Hilmi Dede 1842’de İstanbul’da doğmuş bir Bektâşî şairidir. Sultan Ahmed civarında Güngörmez Camii
imamı Nuri Efendi ile Emine Bacı’nın oğludur. Ailesi Merdiven Köyü’nde Şahkulu Sultan Tekkesi post-nişini Hasan
Baba’dan kendisi de Aşçı Baba’dan el almıştır. 1863’re posta oturan Hilmi Dede, aynı yıl Hacı Bektaş Dergâhı’na giderek
icazetini almıştır. 1907’de vefatına kadar bu görevini sürdürmüştür. Mezarı tekkenin haziresindedir.”, Süleyman Solmaz,
“Bir Bektaşi Şâiri Mehmed Ali Hilmi Dedebaba ve Divânı”, http://www.pau.edu.tr/pau20/asp_download.aspx?id=738
(30.04.2009).

422

�Şakayık hemdem olmuş bağçede ortanca dilberle
Menekşe boynunu bükmüş yatur tenhâ gülzârda
Bir sonraki beytin çiçekler kadrosu, hanımeli, civanperçemi, hüsnü Yusuf ve zerrinkadehten
oluşmaktadır. Bahsi geçen çiçeklerden hanımelinin çiçekleri, beyaz ya da sarımsı beyazdır. (Tırman, 1987: 120;
Yücel vd., 1995: 101-102). Civanperçeminin ise küçük ve beyaz renkli çiçekleri vardır. (Yücel, 2002: 32). Bir
diğer çiçek olan hüsnüyusuf, pembe, kırmızı, beyaz ve menekşe renginde çiçekleri bulunan bir bitkidir. (Yücel,
2002: 128; Tırman, 1987: 140). Zerrîn-kadehin (sarı zerrin, zerren) ise altın sarısı renginde çiçekleri vardır.
(Yücel, 2002: 228).
Beyitte, hanım elinin hüsnü Yusuf’tan civanperçemini açtığı ve âşıklara zerrinkadehle kırmızı şarap
sunduğu söylenilmektedir. Zerrinkadehi, altından yapılmış kadeh olarak anlamanın yanında, bir çiçek adı olarak
değerlendirmek de mümkündür. Beyitte, hanımeli, civanperçemi, hüsnü Yusuf, zerrîn-kadeh şeklinde, pek çok
bahar bitkisinin çiçek açmasından söz edilmektedir:
Hanımeli civân perçemin açmış hüsn-i Yusuf’tan
Sunar uşşâka hem zerrin kadehle bade-i hamrâ
Akabinde sahneye kendisine çok yakışmış pembe renkli bir kıyafet giyen gelincik, yeşillenip çiçek
açmış dilberdudağı ve fesleğen çıkmıştır. Gelinciğin parlak kırmızı, nadiren beyaz, sarı ve pembe renkli çiçekleri
vardır. (Tırman, 1987: 100). Dilberdudağının (aslanağzı) çiçekleri dudak şeklinde olup kırmızı, pembe veya sarı
gibi değişik renklerde olabilir. (Yücel, 2002: 52). Fesleğen hoş kokulu, otsu bir bitkidir; beyaz, pembe veya
leylak renkli çiçekler açar. (Yücel, 2002: 238). Pembe kıyafeti kendisine çok yakışan gelinciğe nazar değmemesi
için “maşallah” denildiği de dikkati çekmektedir:
Gelincik penbe giymiş pek yaraşmış şimdi mâşallah
Yeşillenmiş açup dilber dudağı fesleğen-âsâ
Bahar, bilhassa eski toplum hayatımızda kır eğlencelerinin yapıldığı, bahçelerde güzellerin arz-ı endâm
ettikleri bir mevsimdir. Beyitte bahsi geçen kadife, sarı veya portakal renginde çiçekleri olan bir bitkidir. (Yücel,
2002: 314). Bir başka çiçek olan atlasın parlak kırmızı renkli çiçekleri vardır. (Yücel, 2002: 142). Mine
genellikle eflâtun, mavi, bazen de alaca ya da beyaz renkli çiçekler açar. (Tırman, 1987: 160; Yücel, 2002:332).
Serv-i revân (salınan servi) istiâresiyle karşılanan sevgilinin gül bahçesine teşrif edip kadife, atlas ve mine gibi
çiçekleri temaşa etme vakti gelmiştir.
Salın serv-i hırâmânım temâşâ eyle ezhârı
Döşenmiş sahn-ı gülşende kadife atlas u mînâ
Bir sonraki beyitte ise karanfil, lale, nesrin, yasemin, zambak ve fulya çiçeklerine yer verilmiştir.
Beyitte yer alan nahıl kelimesi, eskiden balmumundan veya gümüşten özel olarak hazırlanan ve gelinin önünde
taşınan meyve, çiçek ve kıymetli taşlarla müzeyyen ağaç (Onay, 2000: 343) anlamındadır. (Arıkan, 2007; İnce:
89-96; (Nahılların İslam resim sanatındaki örnekleri hakkında örnek minyatürler için bkz. Tulum, 2007: 36, 420,
422). Karanfilin çiçekleri değişik renklerde ve güzel kokuludur. (Yücel, 2002: 130; Tırman, 1987: 140). Klâsik
şiirde eskiden kavukla sarık, sarıkla fes arasına konulan ya da yakaya takılan çiçekler arasında yer alması, (Onay,
2000: 393-394) şarap kokusunu gidermek için yenmesi, (Onay, 2000: 417) birtakım macunların terkibinde bir
baharat olarak kullanılması (Onay, 2000: 315) gibi özellikleriyle söz konusu edilen karanfil, bazen de kırmızı
rengi sebebiyle sevgilinin yanağına teşbih edilmiştir. (Çavuşoğlu, 2001: 290). Lalenin ise çiçekleri çan biçiminde
ve kırmızı başta olmak üzere çok değişik renklerdedir. (Yücel, 2002: 322; Tırman, 1987: 223). Renginden dolayı
lale, klâsik şiirde kan, mum, şarap, yanak, âşığın gözyaşı, lâl, kâse-i mercan, çerâğ, kanlı kefen, al sancak vb.
unsurlara teşbih edilmiş; şekil bakımından da genellikle kadeh olarak tasavvur edilmiştir. (Pala, 1998: 252). Lale
kelimesindeki harflerin sırası değiştirildiğinde “Allah” ve “hilâl” sözcüklerinin elde edilebilmesi de bu çiçeğin
sevilmesinde etkili olmuştur. (Ayvazoğlu, 1997: 109-110). Zambak beyaz-pembe-kırmızı renkte çiçekleri
bulunan bir bitkidir. (Tırman, 1987: 223; Yücel, 2002: 210). Nesrin, Van gülü anlamındadır. Ancak “Van gülü”
olarak ünlenen çeşidin hangi tür veya varyeteye sahip olduğu kesin olarak bilinmemektedir. (Baytop, 2001: 85).
Yasemin, beyaz renkli ve güzel kokulu çiçekleri bulunan bir bitkidir. (Yücel vd., 1995: 92). Klâsik şiirde daha
çok beyaz renkli olanlarının tercih edildiğini gördüğümüz yasemin, daha çok rengi, kokusu, yaprağı itibariyle
anılır ve sevgilinin yanağı ya da gömleği olarak tahayyül edilir. (Pala, 1998: 415; Çavuşoğlu, 2001: 291; Polat,
2001: 197-199). Fulya çiçeği ise daha önce de bahsi geçen zerrindir.
Şairin tasavvuruna göre Yüce Allah’ın kudretiyle her taraf karanfil, lale, nesrin, zambak, yasemin ve
fulya çiçekleriyle tıpkı bir nahıl gibi donanmıştır. Beyit, renk renk çiçekleriyle çok canlı bir bahar ve bahçe
manzarasını gözümüzde canlandırmaktadır:
Nahıl gibi donanmış her taraf bâ-kudret-i Yezdân
Karanfil lâle vü nesrin ü zanbak yasemen fulya
Yine birden çok çiçeğin hep beraber yer aldıkları aşağıdaki beyitte, rengârenk bir tablo çizilmektedir.
Nilüfer, güzel kokulu, beyaz, pembe, sarı, mavi renkli çiçekleri bulunan bir su bitkisidir. (Yücel, 2002: 236-238;
Tırman, 1987: 173). Filbahri, beyaz renkli ve güzel kokulu çiçekleri bulunan bir bitkidir. (Yücel vd., 1995: 109).
Beytin mana dünyasına göre nilüfer ve filbahri çiçekleriyle amber ve mercan ortaya çıkmış; bunu görünce sedef
de ağzını açıp içinde bulunan inciyi gül bahçesine hediye etmiştir. Beyitte bahsi geçen sadef, deniz

423

�kaplumbağasına benzeyen, daha çok Hint ve Çin denizlerinde bulunduğu rivayet edilen bir çeşit istiridyedir.
Nisan ayında (18 Nisan) denizin yüzüne veya sahile çıkarak ağzını açtığına, yağmur tanesini yuttuğuna ve
böylece incinin oluştuğuna inanılır. (Pala, 1998: 337). Beyitte dikkat edilirse nilüfer, amber, mercan, sadef, inci
kelimeleri suyla bağlantılıdır. Bu da herhalde ilkbaharda yağmurların yağmasıyla suların çoğalmasını ifade
etmek üzere kullanılmış olmalıdır:
Çıkınca nilüfer filbahriden hem anber ü mercan
Sadef ağzın açup incüsin etmiş gülşene ihdâ
Bahar mevsiminde düzenlenen, birtakım mezeler ve çiçeklerle donatılan, şaşaalı bir içki meclisi tasviri
yapan aşağıdaki beyit, her biri birden çok çağrışıma sahip avize, ateş, balmumu çiçeklerini ihtiva etmektedir.
Avize çiçeği, beyaz renkli çiçekleri bulunan bir bitkidir. (Yücel vd., 1995: 157). Ateş çiçeğinin kırmızı renkli
çiçekleri vardır. (Yücel, 2002: 286). Bir başka çiçek olan balmumu (mum çiçeği) ise, beyaz renkli ve hoş kokulu
çiçekleri ile dikkati çeker. (http://www.cicekcesitleri.com/Mum_Cicegi). Çiçek bahçesinde tertip edilen rintler
meclisinde ateş çiçeği, parlak balmumunu yakıp avize ile hem meclisi hem de bahçeyi aydınlatmayı
amaçlamıştır. Tevriyeli bir kullanıma sahip olan avize ve balmumunun aynı zamanda birer çiçek adı olduğu da
hatırlanmalıdır:
Şükûfistânı tenvîre etmeğe hem bezm-i rindânı
Yakup âvizeden âteş çiçeği balmumun ra’nâ
Nevrûziyyenin son beytinde gecesefası ve kahkaha çiçekleri yer almaktadır. Gecesefası, boyun kısımları
beyaz, yukarı doğru genelde mor veya gökyüzü mavisi renginde çiçekleri olan bir bitkidir. (Yücel, 2002: 194).
Kahkaha çiçeği, beyaz, nadiren açık pembe renkte taç yaprakları bulunan bir çiçektir. Yücel, 2002: 80). Bir
önceki beyitte bir bahar gecesinde düzenlenen içki meclisi tasviri yapan şair, son beyitte buna paralel olarak “ay”
istiaresiyle ifade ettiği sevgilinin rakipler ile mehtap gezintisine çıktığından bahsetmektedir. Sevgili, böyle bir
gezintide kahkahalarla gecesefası yaparken, âşık-şair binlerce kez “ya sabır” çekmektedir. İkili bir anlam
dünyasına sahip olan gece safası ve kahkaha aynı zamanda birer çiçek ismidir:
O meh ağyâr ile gece safâda kahkahalarla
Hezârân yâ sabur çekmekte şimdi Hilmi-i şeydâ

Sonuç
Bir Alevî-Bektâşî şeyhi olan Mehmet Ali Hilmi Dede Baba’nın “Nevruziyye” başlıklı şiirini konu alan
bu çalışmada şu sonuçlara ulaşılmıştır:
Alevî-Bektâşî geleneğinde son derece önemli bir yeri olan ve kutsal bir gün olarak kabul edilen Nevrûz,
bu geleneğe mensup bir şairin kaleminde ifade bulmuştur.
Şairin Alevî-Bektâşî geleneğine bağlı olmasından dolayı, şiirde Yezdân, çerâğ uyandırmak (mum
yakmak) gibi bu geleneğe ait unsurlar da söz konusu edilmiştir.
Klâsik şiir anlayışına uygun olarak Mehmet Ali Hilmi Dede Baba da kışı bir gam mevsimi, baharı ise
insanın gönlüne ferahlık ve yaşama sevinci veren bir mevsim olarak takdim etmiştir.
Nevruziyyede elvân çiçek, ezhâr, şükûfistan, gülşen gibi genel anlamda çiçek ve çiçek bahçesi anlamına
gelen kelimeler kullanılmıştır. Bunların dışında gül, gonca, şeb-bû, zerrîn, nergis, zülf-i arûs, sünbül, şakayık,
ortanca, benefşe, hanımeli, civanperçemi, hüsn-i Yusuf, zerrin-kadeh, gelincik, dilber dudağı, fesleğen, kadife,
atlas, mina, karanfil, lale, nesrin, zambak, yasemin, fulya, nilüfer, filbahri, avize, ateş çiçeği, balmumu çiçeği,
gece sefası ve kahkaha çiçeklerinden oluşan oldukça geniş bir çiçek kadrosu vardır. Görüldüğü üzere, çalışmaya
konu olan Nevrûziyye, Klâsik Türk edebiyatının çok bilinen gül, sümbül, nergis, lale vb. çiçeklerinin yanında,
değişik çiçekleri de ihtiva etmektedir. Şiir, bu yönüyle de ilgi çekicidir. Klâsik Türk şiirinde sıkça kullanılanların
dışında çiçeklerin zikredilmesi, son dönemlerde kaleme alınan şiirlerde sesten ziyade müşahhaslığın ön plana
çıkmış olmasına bağlanabilir. Mehmet Ali Hilmi Dede Baba, son dönem şairlerinden olduğu için şiirine yenilik
ve farklılık getirme çabasında olduğu düşünülebilir.
Her biri farklı renk ve kokulara sahip bu kadar çok çiçeğin bir arada yer aldığı bir şiirde Nevrûz ve
dolayısıyla bahar oldukça renkli, bol çağrışımlı ve canlı tablolar hâlinde gözler önüne serilmiştir. Bir erkek şairin
kaleminde bu kadar çok çiçeğin bir arada zikredilmesiyle, Alevî-Bektaşî geleneğinde Nevruz’un ve baharın
önemi ortaya çıkmaktadır.
Bibliyografya
Altun, E. (2002). “Türk Halk Kültüründe Nevruz”, Türk Kültüründe Nevruz V. Uluslararası Bilgi Şöleni Bildirileri, Ankara.
Arıkan, M., “Osmanlı Saray Düğünlerinde Yemekler”,

http://turkoloji.cu.edu.tr/GENEL/murat_arikan_osmanli_saray_yemek.pdf (Erişim tarihi: 30.04.2009).

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�Ayvazoğlu, B. (1997). Güller Kitabı Türk Çiçek Kültürü Üzerine Bir Deneme, Ötüken Yay., Ankara.
Baytop T. (2001). Türkiye’de Eski Bahçe Gülleri, Kültür Bakanlığı Yay., Ankara.
Cunbur, M. (1995). “Klâsik Edebiyatımızda Nevruz”, Türk Kültüründe Nevruz Uluslararası Bilgi Şöleni (Sempozyumu)
Bildirileri, (Yayına Haz. Prof. Dr. Sadık Tural), AKM Yay., Ankara,.
Çavuşoğlu, M. (2001) Necati Bey Divanı’nın Tahlili, Kitabevi Yay., İstanbul.
Çay, A. M., (1996). Türk Ergenekon Bayramı Nevruz, Turan Kültür Vakfı, Ankara, 1996.
Erhat, A. (2003). Mitoloji Sözlüğü, Remzi Kitabevi, İstanbul.
Güzel, A. (1995). “XIV-XV. Yüzyıl Edebiyatında Nevruz ve Nevruziyeler”, Türk Kültüründe Nevruz Uluslararası Bilgi
Şöleni (Sempozyumu) Bildirileri, (Ankara 20-22 Mart 1995), (Yayına Haz. Prof. Dr. Sadık Tural), AKM Yay., Ankara, 95104.
Halaçoğlu, Y. (1996) “Osmanlılarda Nevruz Kutlamaları”, Nevruz ve Renkler, (Yayına Haz. Prof. Sadık Tural-Elmas Kılıç),
AKM Yay., Ankara.

http://www.cicekcesitleri.com/Mum_Cicegi (Erişim tarihi: 21 Ağustos 2007).
http://www.killerplants.com/plant-of-the-week/20041206.asp (Erişim tarihi: 21 Ağustos 2007).
İnce, A. (1988) “Divan Şiirinde Nahıl”, Türk Dünyası Araştırmaları, (54), 89-96.
Kılıç, F. (1999). “Osmanlı Devleti’nde Klâsik Edebiyatımızda Nevruz”, Türk Dünyasında Nevruz Üçüncü Uluslararası Bilgi
Şöleni.
Koca, S. (2002) “Eski Türklerde Bayram ve Festivaller”, Türkler, Yeni Türkiye Yay., Ankara, (III),
Noyan, B. (1907). Mehmet Ali Hilmi Dede-Baba Divanı, İstanbul.
Oğuz, M. G. &amp; Yayıntaş, A. (1987). Park ve Bahçelerimizin Süs Bitkileri, (Yardımcı Ders Kitabı), E.Ü. Fen-Fakültesi Baskı
İşleri, İzmir.
Onay, (2000). Eski Türk Edebiyatında Mazmunlar ve İzahı, (Haz. Cemâl Kurnaz), Akçağ Yay., Ankara.
Öztuna, Y. (2000). “Nevrûz”, Türk Mûsikîsi Kavram ve Terimleri Ansiklopedisi, AKM Yay., Ankara.
Pala, İ. (1998) Ansiklopedik Divân Şiiri Sözlüğü, Ötüken Yay., İstanbul.
Pirverdioğlu A. (2002). “Türklerde Yılbaşı ve Bahar Geleneği”, Türkler, Yeni Türkiye Yay., Ankara, (III), 44-50.
Polat, N. H. (2001). Türk Çiçek ve Ziraat Kültürü Üzerine Cevat Rüştü’den Bir Güldeste, Kitabevi Yay., İstanbul.
Solmaz, S. “Bir Bektaşi Şâiri Mehmed Ali Hilmi Dedebaba ve Divânı”,
http://www.pau.edu.tr/pau20/asp_download.aspx?id=738 (Erişim tarihi: 30.04.2009).
TDEA, “Nergis”, (VII) 14-15, Dergâh Yay., İstanbul .
Temren, B. (1995). “Bektaşi Geleneklerinde Nevruz Kutlamaları Kırklar Bayramı”, Foklor/Edebiyat, S. 3, Ankara.
Tırman, F. (1987). Tabii Çiçekler Morfolojisi ve Yapma Çiçekçilikte Kullanılan Kalıplar, Selçuk Üniversitesi Yay., Konya.
Uçkun, R. (2005) “Alevî-Bektaşî Geleneğinde Nevruz Kutlamaları”, Uluslararası Bektaşilik ve Alevilik Sempozyumu I,
Isparta.
Vehbî (2007). Surnâme, Sultan Ahmet’in Düğün Kitabı, Haz. Mertol Tulum, Kabalcı Yay., İstanbul.
Yücel E. &amp; Yaltırık F. &amp; Öztürk M. (1995). Süs Bitkileri (Ağaçlar ve Çalılar), Anadolu Üniversitesi Yay., Eskişehir.
Yücel, E.(2002). Çiçekler ve Yer Örtücüler, Etam Matbaa Tesisleri, Eskişehir.

425

�</text>
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                <text>Toplum hayatını en çok etkileyen mevsimlerden biri olan baharın gelişi, tüm  dünyada yapılan değişik törenlerle coşkulu bir biçimde kutlanır. Türklerde de baharın  gelişi bir bayram kabul edilir ve bu bağlamda ilk akla gelen Nevruz Bayramı’dır.  Nevrûz, Osmanlı döneminde de sayılı günlerden biri olarak kutlanmıştır. Bu durumun  edebî hayattaki yansımalarından biri, baharın başlaması münasebetiyle kaside, gazel  gibi nazım şekilleriyle kaleme alınan ve başta padişah olmak üzere devlet ricaline  sunulan nevruziyye adlı şiirlerdir.  Bu tebliğde, bir Bektâşî şairi olan Mehmet Ali Hilmi Dede Baba’nın ihtiva ettiği değişik  çiçek adlarıyla dikkati çeken “Nevrûziyye” başlıklı şiiri değerlendirilmeye çalışılacaktır.</text>
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PeerReviewed</text>
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                    <text>BİR DİLBİLİMCİ OLARAK ALİ ŞİR NEVAYÎ
Mücahit AKKUŞ
Hitit Üniversitesi, Fen-Edebiyat Fakültesi, Türk Dili ve Edebiyatı Bölümü, Çorum / Türkiye
Anahtar Kelimeler: Dil, tarih, Ali Şir Nevayî, Dilbilim, Türkçe.
ÖZET
Dil; duygu, düşünce ve isteklerin aktarılmasını sağlayan doğal bir vasıtadır. İnsanoğlu,
tarihin eski çağlarından beri bu vasıtayı kullanmıştır. Kimi zaman sesle, kimi zaman jest ve
mimikle kimi zaman da yazıyla anlaşmaya çalışmıştır. Dil, yapısını bünyesinde koruyarak
zamanla gelişir. Başka dillerle kelime alışverişinde bulunur. Bu alışveriş bazen yoğun bir şekilde
bazen de göze çarpmayacak kadar az bir şekilde olur. Alınan kelimelerin de o dilde uzun zaman
kalıp kalmamasına o dili kullanan insanlar karar verir. Tarih, din ve coğrafi ortamlar o dilin
şekillenmesi için son derece önemli unsurlardır. Derin bir tarih olgusu, farklı coğrafyalarda
yaşamış olmaları ve çeşitli dinlere bağlı olma durumu Türklerin de dilini oldukça şekillendiren
konular olmuştur. Bu vasıtalarla dil zaman içinde lehçe dediğimiz çeşitli kollara ayrılmıştır. Bu
kollarda farklı ses özellikleri, farklı yapılar ve farklı kelime birikimi oluşmaya başlamıştır. Bu
farklı kollar içerisinde Çağatay Türkçesi diye bir kol oluşmuş ve Ali şir Nevayî diye de bir âlim
çıkarak Türkçenin bu lehçesi ile çok değerli eserler meydana getirmiştir. Gerek sözlük çalışması
yapmış, gerek divanlar hazırlamış gerekse de başka alanlarda birikimlerini gözler önüne sermeyi
başarmıştır. Türk dünyasının en önemli şahsiyetlerinden biri olan Ali Şir Nevayî, Türk dilinin ve
edebiyatının gelişmesinde önemli katkıları olmuş büyük bir ediptir. Hayatı boyunca Türkçenin
diğer diller karşısındaki önemine dikkat çekmiş ve bu doğrultuda eserler meydana getirmiştir. Bu
çalışmada dilbilim ve Ali Şir Nevayî üzerinde durulmuştur. Dilbilimin alt kolları olan,
anlambilim, sözlükbilim, biçimbilim vb. konuları Ali Şir Navayî’nin eserleri göz önüne alınarak
değerlendirilmeye çalışılmıştır. Bu değerli şahsiyetin belirli manzum parçaları anlam itibariyle
değerlendirililmiş, yaptığı sözcük çalışması sözcükbilim ve sözlükbilim anlayışıyla irdelenmiş,
eserleri günümüz dilbilim anlayışıyla tanzim edilmiştir. Bu çalışmalar yapılarak Ali Şir Nevayî
eserlerinin de dilbilim konusunda ne derece önem arz ettiği gözler önüne serilmeye çalışılmıştır.

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Mücahit AKKUŞ
Hitit Üniversitesi, Fen-Edebiyat Fakültesi, Türk Dili ve Edebiyatı Bölümü, Çorum / Türkiye
Anahtar Kelimeler: Dil, tarih, Ali Şir Nevayî, Dilbilim, Türkçe.
ÖZET
Dil; duygu, düşünce ve isteklerin aktarılmasını sağlayan doğal bir vasıtadır. İnsanoğlu,
tarihin eski çağlarından beri bu vasıtayı kullanmıştır. Kimi zaman sesle, kimi zaman jest ve
mimikle kimi zaman da yazıyla anlaşmaya çalışmıştır. Dil, yapısını bünyesinde koruyarak
zamanla gelişir. Başka dillerle kelime alışverişinde bulunur. Bu alışveriş bazen yoğun bir şekilde
bazen de göze çarpmayacak kadar az bir şekilde olur. Alınan kelimelerin de o dilde uzun zaman
kalıp kalmamasına o dili kullanan insanlar karar verir. Tarih, din ve coğrafi ortamlar o dilin
şekillenmesi için son derece önemli unsurlardır. Derin bir tarih olgusu, farklı coğrafyalarda
yaşamış olmaları ve çeşitli dinlere bağlı olma durumu Türklerin de dilini oldukça şekillendiren
konular olmuştur. Bu vasıtalarla dil zaman içinde lehçe dediğimiz çeşitli kollara ayrılmıştır. Bu
kollarda farklı ses özellikleri, farklı yapılar ve farklı kelime birikimi oluşmaya başlamıştır. Bu
farklı kollar içerisinde Çağatay Türkçesi diye bir kol oluşmuş ve Ali şir Nevayî diye de bir âlim
çıkarak Türkçenin bu lehçesi ile çok değerli eserler meydana getirmiştir. Gerek sözlük çalışması
yapmış, gerek divanlar hazırlamış gerekse de başka alanlarda birikimlerini gözler önüne sermeyi
başarmıştır. Türk dünyasının en önemli şahsiyetlerinden biri olan Ali Şir Nevayî, Türk dilinin ve
edebiyatının gelişmesinde önemli katkıları olmuş büyük bir ediptir. Hayatı boyunca Türkçenin
diğer diller karşısındaki önemine dikkat çekmiş ve bu doğrultuda eserler meydana getirmiştir. Bu
çalışmada dilbilim ve Ali Şir Nevayî üzerinde durulmuştur. Dilbilimin alt kolları olan,
anlambilim, sözlükbilim, biçimbilim vb. konuları Ali Şir Navayî’nin eserleri göz önüne alınarak
değerlendirilmeye çalışılmıştır. Bu değerli şahsiyetin belirli manzum parçaları anlam itibariyle
değerlendirililmiş, yaptığı sözcük çalışması sözcükbilim ve sözlükbilim anlayışıyla irdelenmiş,
eserleri günümüz dilbilim anlayışıyla tanzim edilmiştir. Bu çalışmalar yapılarak Ali Şir Nevayî
eserlerinin de dilbilim konusunda ne derece önem arz ettiği gözler önüne serilmeye çalışılmıştır.

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