Biodegradation and Decolorization of Azo Dye (Deep Red Glx) by Alkaliphilic Bacilluscereus Strain BPL Isolated from Textile Effluent Contaminant Soil

DOI : 10.17577/IJERTV5IS090002

Download Full-Text PDF Cite this Publication

  • Open Access
  • Total Downloads : 445
  • Authors : Dr. Indrani Jadhav, Dr. Kapilesh Jadhav, Roshan Vasniwal, Dr. Divya Shrivastava
  • Paper ID : IJERTV5IS090002
  • Volume & Issue : Volume 05, Issue 09 (September 2016)
  • DOI : http://dx.doi.org/10.17577/IJERTV5IS090002
  • Published (First Online): 31-08-2016
  • ISSN (Online) : 2278-0181
  • Publisher Name : IJERT
  • License: Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License

Text Only Version

Biodegradation and Decolorization of Azo Dye (Deep Red Glx) by Alkaliphilic Bacilluscereus Strain BPL Isolated from Textile Effluent Contaminant Soil

Roshan Vasniwal1, Indrani Jadhav1, Divya Shrivastava1 and Kapilesh Jadhav*1

1Jaipur National University,

School of Life Sciences, Near New RTO Office, Jaipur-Agra Bypass, Jagatpura, Jaipur-302017, Rajasthan, India.

Abstract:- The Gram positive, spore forming bacterium was isolated from textile effluent contaminated soil and was examined for its ability to degrade azo dye (deep red glx). On analysis of 16S rRNA gene sequence, strain showed 99% sequence similarity with Bacillus cereus ATCC 14579 and belongs to group Firmicutes of domain Bacteria. The strain has been assigned name BPL and the gene sequence was deposited in Genbank with accession number KU510086. The Bacillus cereus strain BPL was able to decolorize deep red glx with efficiency of 78% in minimal salt medium (MSM) supplemented with dye at concentration of 0.5gl-1. Decolorization studies have shown that the strain was able to decolorize deep red glx in pH range of 4-9 at 37oC with optimum pH of 9 and adaptability to decolorize dye in alkaline conditions. Other parameters such as nitrogen sources, carbon sources and osmotic concentration were also examined. When supplemented with nitrogen source (peptone, 5gl-1), carbon source (maltose, 5gl-1) and NaCl (10gl-1), the decolorization obtained were 85%, 87% and 82% respectively. The Bacillus cereus strain BPL was found to decolorize azo dye deep red glx and shows good possibilities for biodegradation and decolorization of textile effluents.

Keywords: Azo dyes; Bacillus cereus strain BPL; decolorization, deep red glx; optimization; 16S rRNA gene

INTRODUCTION

Textile industries contribute nearly 14% of the total industrial production in India and discharge large volume of effluent after dying process (Ekambaram et al., 2016; Zolinger et al., 1987). Effluent from textile industries contain cotton, wool, silk, synthetic fibers, coloring agents (synthetic dyes), bleaching agents (chlorine), fixing agents (formaldehyde, benzidine etc.), stain removing agents (CCl4) and printing gums (polyphosphates like trisodium phosphate and sodium hexametaphosphate). Textile effluent contain different types of dyes based on their chemical nature, such as, azo, diazo, cationic, basic, anthraquinone base and metal complex dyes. Synthetic dyes (e.g., azo, xanthenes and anthraquinone dyes) are highly toxic or mutagenic for organisms (Daneshvar et al.,

2007) and also affect natural resources (Puvaneswari et al., 2006; Mester and Tien 2000).

Textile effluent is generated through printing, dying, bleaching, sourcing and mercerizing (Ponraj et al., 2011; Gupta et al., 2003). Dye concentration in effluent varies between 10-200mg/ml, depending on the dye processing and it is estimated that, around 10-15% of dyes are lost in effluent during the dye process (Kumar et al., 2006). Cotton based textile effluent is usually alkaline, whereas, synthetic and woolen fabric processing generates acidic or low pH effluent. When high concentration dye containing water are used for washing and bathing purposes, it may cause several skin disease like ulceration of skin, dermatitis, respiratory tract infections, perforation of nasal sputum and ingestion may cause omitting, pain, hemorrhage and sharp diarrhea ( Iqbal and Nisar 2015 and Mittal et al., 2005). Textile effluents are often contaminated with non-biodegradable organics materials, presence of these chemicals results in high chemical oxygen demand (COD) value of the effluent.

Azo dyes are largest group of dyes which consists of 70% of dyes used in textile industries and produces clear and strong colors. Removal of colors from textile effluent is one of major environmental concern. Degradation and decolorization can be achieved through physical, chemical and biological methods. Physical and chemical methods are generally expensive as compared to biological methods and produce large amount of secondary waste (Guan et al., 2014; Tantak and Chaudhari 2006).

The aim of present study is to isolate potential dye degrading bacteria from textile effluent contaminated soil and to optimize various parameters to enhance decolorization. For this, reactive deep red glx dye was used as a standard.

MATERIAL AND METHODS

Study site

Sanganer, a small town located 16 km from south of Jaipur, state capital of Rajasthan, India was selected for present study (Fig.1).

Fig. 1 Map showing location of sampling site. Samples were collected from Sanganer industrial area of Jaipur, Rajasthan.

Sanganer is famous for its textile and hand block printing and had received geographical location tag (GI) in 2010. Dye contaminated industrial effluent disposal sites were subjected for sample collection (Fig.2).

Fig. 2 Textile effluent discharge sites from where soil samples are collected for isolation of dye degrading and decolorizing bacteria.

Sample collection and preservation

Surface soil was removed 30cm from the surroundings of effluent discharge area and 20-50g of soil samples from the depth of 9-10 cm were collected in sterile polyethylene bags. The samples were transported to the laboratory in an icebox and processed within 4 h of collection or stored at 4oC temperature until processed within 24h.

Characterization of textile effluents

The textile effluents were characterized in triplicates for pH, Chemical Oxygen Demand (COD), Biochemical Oxygen Demand (BOD), Total Solids (TS), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Total Organic Carbon (TOC) and Chlorides by standard methods (APHA, 1985).

Isolation of azo dye degrading bacteria

The samples collected from effluent contaminated soils were enriched for dye degrading bacteria by incubating 5g of the textile dye effluent contaminated soil in 100ml of minimal salt medium (MSM) with following ingredients (gl-1); Glucose 5.0, Yeast Extract 5.0, MgSO4.7H2O 0.5, KH2PO4 0.5, KCl 0.5 (Gahlout et al., 2013) autoclaved at 121oC for 15 min and supplemented with deep red glx at concentration of 0.5gl-1. Incubation was done at 37oC for 3- 4 days at 180 rpm/min, till prominent decolorization was observed. Enriched samples showing decolorization were subjected to sector plating on minimal salt medium with 20gl-1 agar added for solidification. Bacterial isolates showing decolorization and different morphologies were picked up and purified.

Screening of bacterial isolates for azo dye degradation

The isolated bacterial strains were grown in 5ml nutrient broth and transferred to minimal salt medium supplemented with deep red glx (0.5gl-1) and incubated at 37oC under shaking condition at 180rpm/min for 48 h and were obsrved for decolorization (Fig.3).

Fig. 3 Dye decolorization by isolated strain A, strain BPL and consortia of strain A and strain BPL with reference to control

After 48h, aliquots (5ml) were withdrawn, centrifuged at 10,000 rpm for 5 minutes at room temperature to separate the bacterial cell mass. The supernatant was used for analysis of decolorization and all the experiments were repeated in triplicates. Absorbance of the supernatant withdrawn at different time intervals were measured at the absorbance maximum wavelength for the dye deep red glx ( max =570 nm) in the visible region on a shimadzu double beam spectrophotometer (UV 1601). The percentage of decolorization was calculated from the difference between initial and final values using the following formula:

% decolorization= initial absorbance value-final absorbance value x100

nitial absorbance value

The bacterial strains showing maximum decolorization values were selected and used further for decolorization experiments.

Morphological and biochemical characterization

Morphological and biochemical characterization of bacterial isolates were carried out by the routine bacteriological methods i.e., by the colony morphology, preliminary tests like Grams staining, motility, catalase and oxidase.

Identification of bacterial isolate using 16S rRNA

Genomic DNA of isolate was extracted using method describe by Sambrook and Russell (2001). The 16S rRNA gene amplification was performed using 27f (Escherichia coli position 8-27, 5-AGAGTTTGATCCTGGCTCAG-3)

and 1492r (E.coli position 1510-1492 5-GGCTACCTT GTT ACG ACT T-3) primers (Ikenaga et al., 2002; Lane 1991). The PCR amplification conditions involved an initial denaturation step at 94oC for 5 min, 30 extension cycle of 94oC, 1 min; 53oC, 1 min; 72oC, 1.5 min; and a final extension step at 72oC for 10 min. Purified PCR product were sequenced using an automated sequencer by Perkin Elmer ABI Prism 377 DNA sequencer. The phylogenic relationship of the isolate was determined by comparing the sequencing data with sequences available through the GenBank database of the National Center for Biotechnology Information (NCBI). The obtained 16S rRNA gene sequence was deposited in the NCBI gene bank database (http://www.ncbi.nlm.nih.gov/) and accession number, KU510086 was assigned.

Optimization of dye decolorization

Effect of carbon and nitrogen sources

To observe effect of carbon, decolorization medium was supplemented with different carbon sources (viz; maltose, glucose, sucrose and fructose) at concentration of 5gl-1. Similarly, to observe effect of nitrogen, organic nitrogen sources (peptone and yeast extract) and inorganic nitrogen sources (ammonium sulfate, ammonium nitrate and ammonium chloride) were added at concentration of 5gl-1. Incubation conditions were 37oC for 24 to 48h.

Effect of physiochemical parameters

To observe effect of different temperatures and pH, dye decolorization was studied at pH 4-9 and temperature 25- 45oC. The decolorizing medium (100ml) was inoculated with 1ml of the 24h old culture and incubated at 37oC for

24 to 48h under shaking condition at 180 rpm/min. Aliquots (5ml) were collected and examined for percentage decolorization.

RESULTS

Characterization of textile effluent

Observed values of effluent discharged into the environmentwere compared with that of Bureau of Indian standards (BIS) (Table 1).

Table 1 Qualitative parameters of textile effluent of Sanganer industrial area

Parameters

BIS (Bureau of Indian Standards) (mg/L)

Observed values

Public sewer

Irrigation

pH

6 – 8.5

6 8.5

10* ± 1

Biological oxygen demand (BOD)

350

100

120 ± 4

Chemical oxygen demand (COD)

1000

30

1112 ± 6

Total suspended solids (TSS)

600

200

1800 ± 200

Total dissolved solids (TDS)

2000

1200

2866 ± 411

Total solids (TS)

2600

1400

4666 ± 611

Total organic carbon (TOC)

24 ± 2

Chlorides

250

250

190 ± 3.2

* = no unit for pH

The values observed were critically higher as compare to standard values.

Screening of dye degrading isolates

The percentage dye degradation by strainA, strain BPL and consortia of strain A and strain BPL are shown in Fig. 4.

100

80

60

40

20

0

100

80

60

40

20

0

Strain A

Strain BPL

Strains

Consortia

Strain A

Strain BPL

Strains

Consortia

% decolorization

% decolorization

Fig. 4 Percentage decolorization by strain A, strain BPL and consortia of strain A and strain BPL. Error bar indictaes standard deviation of duplicate observations.

The strain BPL and consortia of strain A and strainBPL

shows maximum dye decolorizationof 78% and 96% respectively as compared to strain A with 33% rate of decolorization. Isolated strain BPLshowing maximum decolorizationwas further selected for identification by 16S rRNA gene sequencing and for optimization of various parameters for dye degradation.

Morphological and biochemical characterization of isolates

The colonies of strain A and strain BPL were irregular, flat and opaque. The strains were found to be Grams positive, spore forming rods. The biochemical tests for strain A and strain BPL are depicted in Table 2.

Table 2 Biochemical characterization of strain A and strain BPL

Biochemical characteristics

Strain A

StrainBPL

Grams Staining

Gram positive rods

Gram positive rods

Catalase

+

Oxidase

+

Motility

+

Urease

+

Starch Hydrolysis

+

Strain A showed positive result for urease, whereas, strain BPL showed positive result for catalase, oxidase, motility and starch hydrolysis. Strain A was found to be capable of hydrolyzing urea to produce ammonia and carbon dioxide,whereas,strain BPL showed presence of catalase and extracellularamylases. Catalase confirms presence cytochrome oxidases an important enzymes system required for degradation of colored products. Results of morphological and biochemical studies shows that isolated strain A and strain BPL belongs to genus Bacillus. In order to characterize strains at species level 16S rRNA gene analysis was performed.

Identification of Bacillus St. BPL by 16S rRNA gene sequencing

16S rRNA gene sequences of Bacillusstrain BPLwere compared with those in the NCBI and RDP databases using FASTA (Pearson & Lipman 1988). Multiple alignments of sequences were executed using CLUSTAL W (Thompson et al., 1994) and evolutionary distances were calculated by pair-wise comparison of the aligned sequences using Phylogeny.fr (Dereeper et al., 2010 & 2008). Results of phylogenetic relationships revels that the strain BPL showed 99% sequence similarity with Bacillus cereus ATCC 14579 (Fig.5)

Fig. 5 Phylogenetic relationships of strain Bacillus BPL based on partial 16s rRNA gene sequence. Strain Bacillus BPL shows 99% similarity with Bacillus cereus ATCC 1457 and belongs to group Firmicutes of domain Bacteria. The nearest homolog was found to be Bacillus anthracis ATCC 14579.

Optimizations of dye decolorization

100

90

80

70

60

50

40

30

20

10

0

100

90

80

70

60

50

40

30

20

10

0

1

1

% decolorization

% decolorization

growth@600nm

growth@600nm

To scrutinize effect of various parameters (carbon and nitrogen sources, pH, salinity and temperature) experiments were performed by keeping test parameter variable and

other parameters constant. On observing effect of carbon sources (maltose, glucose, sucrose and fructos) maximum dye degradation up to 87% was observed for maltose (Fig.6).

% dec.

growth

% dec.

growth

carbon sources

carbon sources

0.8

0.6

0.4

0.2

0

fructose

0.8

0.6

0.4

0.2

0

fructose

sucrose

sucrose

glucose

glucose

maltose

maltose

Fig. 6 Percentage decolorization and growth of Bacillus cereusstrainBPL under influence of different carbon sources.Error bar indictaes standard deviation of duplicate observations

%decolorization

%decolorization

growth@600nm

growth@600nm

With different nitrogen sources (ammonium sulphate, ammonium nitrate, ammonium chloride, peptone and yeast

extract) maximum dye degradation up to 85% was observed for (Fig.7).

Series2

Series1

Series2

Series1

100

80

60

40

20

0

0.5

0.45

0.4

0.35

0.3

0.25

0.2

0.15

0.1

0.05

0

100

80

60

40

20

0

0.5

0.45

0.4

0.35

0.3

0.25

0.2

0.15

0.1

0.05

0

NH4Cl NH4SO4 NH4NO3 Peptone Yeast

Extract

NITROGEN SOURCES

NH4Cl NH4SO4 NH4NO3 Peptone Yeast

Extract

NITROGEN SOURCES

Fig. 7 Percentage decolorization and growth of Bacillus cereus strain BPL under influence of different nitrogen sources. Error bar indictaes standard deviation of duplicate observations

Similar observations were recorded for pH and salinity. For pH, maximum degradation (84%) was observed at pH 9,

may be due to adaptation of strain at high pH conditions (Fig.8).

% dec

growth

% dec

growth

100

1

100

1

80

0.8

80

0.8

60

0.6

60

0.6

20

0.2

20

0.2

0

0

0

0

4 5 6 7 8 9

PH

4 5 6 7 8 9

PH

40

40

0.4

0.4

% decolorization

% decolorization

growth@600nm

growth@600nm

Fig. 8 Percentage decolorization and growth of Bacillus cereus strain BPL under different pH conditions. Error bar indictaes standard deviation of duplicate observations

60

60

0.6

0.6

% decolorization

% decolorization

growth@600nm

growth@600nm

With increasing osmotic concentration, increase in dye degradation (82%) was observed up to 10gl-1 (1%) of NaCl,

after that rate of degradation decreases with further increase in salt concentration (Fig.9).

% dec.

O.D.

% dec.

O.D.

100

1.2

100

1.2

80

1

0.8

80

1

0.8

20

0.2

20

0.2

0

0

0

0

0.5 1 1.5 2

NaCl (%)

0.5 1 1.5 2

NaCl (%)

40

40

0.4

0.4

Fig. 9 Percentage decolorization and growth of Bacillus cereus strain BPL under saline conditions. Error bar indictaes standard deviation of duplicate observations

%decolorization

%decolorization

growth@600nm

growth@600nm

The optimum and sub optimal temperature recorded for dye degradation were 37oC and 30oC and 40oC (Fig.10).

%dec.

growth

%dec.

growth

100

1

100

1

80

0.8

80

0.8

60

0.6

60

0.6

20

0.2

20

0.2

0

0

0

0

25 30

37

Temp (oC)

40

45

25 30

37

Temp (oC)

40

45

40

40

0.4

0.4

Fig. 10 Percentage decolorization and growth of Bacillus cereus strain BPL under different temperature conditions. Error bar indictaes standard deviation of duplicate observations

DISCUSSION

Occurrence of bacterial population and diversity in the textile effluent has intensified research in the field of bioremediation (Jadhav et al., 2016; Dawkar et al., 2009). It was found that bacteria as compare to fungi and actinomycetes degrade and even can completely mineralize dye under certain conditions (Asad et al., 2007; Kapdan and Erten 2007; Chen et al., 2003). In the present study, Bacillus cereus strain BPL with potential azo dye (deep red glx) degrading capacity was isolated from effluent contaminated soil of textile industries located in Sanganer industrial area of Jaipur, state capital of Rajasthan, India. On molecular identification, Bacillus cereus strain BPL was found to have 99% similarity with Bacillus cereus ATCC 14579 and belongs to group Firmicutes of domain Bacteria.

Decolorization studies have shown that, strain Bacillus cereus BPL was able to decolorize deep red glx at a decolorization rate of 78% within 4 days under shaking conditions. No residual dye was found on the biomass, suggesting that the decolorization was due to extracellular enzymes produce by the strain (Gahlout et al.., 2013). For optimizing condition for maximum decolorization, maltose (5gl-1) and peptone (5gl-1) were found to be more suitable as compare to basal media with no modifications. This suggest that dye itself does not serve as a sole carbon source and degradation rate can be enhanced by adding supplementary carbon and nitrogen sources (Gahlout et al., 2013). The optimum pH conditions for decolorization was observed at pH 9, this may be attributed to the acclimatization of strain in high alkaline condition of effluent. pH tolerance in dye degrading bacteria is quite common because reactive azo dyes bind to cotton fibers by addition or substitution mechanism under alkaline conditions (Aksu et al., 2003).

In the present study Bacillus cereus strain BPL was found to be potential degrader of azo dye deep red glx and shows good possibilities in treatment of textile effluents.

CONCLUSION

Discharge of textile effluent into open environment is serious environmental problem and a major environmental concern. Physical and chemical methods are effective for color removal but need energy and may cause pollution. Hence, economical, natural and eco-friendly techniques using microorganisms can be an alternative method to treat textile industrial effluent. Microbial degradation of dyes offers an easy, cheaper and effective method for decolorizing textile dyes. In present study, we have isolated bacteria that have potential to degrade and decolorize azo dye deep red glx used in textile industries. Our finding reveals that the rate of decolorization can be enhanced by optimization of condition for dye degradation. In the present case, maltose, peptone, pH 9 and 37oC temperature were found to be optimum parameters to increase rate of degradation.

ACKNOWLEDGMENTS

The authors extend their gratitude towards Amnion Biosciences, Bangalaru for providing bacterial identification services and NCBI for submission of 16S rRNA sequences and allocating accession number.

REFERENCES

  1. Aksu, Z. (2003). Reactive dye bioaccumulation by Saccharomyces cerevisiae. Process Biochemistry, 10, 1437- 1444.

  2. APHA-AWWA. (1985). Standard methods for the examination of waste and wastewater, 16thedn.American Public Health Association,Washington, DC

  3. Asad, S., Amoozegar, M.A.,Pourbabaee, A., Sarbolouki, M.N., & Dastgheib, S.M.M. (2007). Decolorization of textile azo dyes by newly isolated halophilic and halotolerant bacteria. Bioresource Technology, 98, 20822088.

  4. Chen, K.C., Wu, J.Y.,& Liou, D.J. (2003). Decolorzation of the textile dyes by newly isolated bacterial strains. Journal of Biotechnology, 101, 5768.

  5. Daneshvar, N., Ayazloo, M., Khataee, A.R.,& Pourhassan, M. (2007).Biological decolorization of dye solution containing malachite green by microalgae Cosmarium sp. Bioresource Technology, 98, 1176-1182.doi:10.1016/j.biortech.2006.05.025

  6. Dawkar, V.V., Jadhav, S.U., Ghodake, G.S., & Govindwar, S.P. (2009). Effect of inducers on the decolorization and biodegradation of textile azo dye Navy Blue 2GL by Bacillus sp. VUS. Biodegradation, 20, 777787. 10.1007/s10532-009-9266-y.

  7. Dereeper, A., Guignon, V., Blanc, G., Audic, S., Buffet, S., Chevenet, F., Dufayard, J.F., Guindon, S., Lefort, V., Lescot, M., Claverie, J.M.,& Gascuel, O. (2008). Phylogeny.fr: robust phylogenetic analysis for the non-specialist. Nucleic Acids Res, 36 (Web Server Issue) W, 465-469.

  8. Dereeper, A., Audic, S., Claverie, J.M., & Blanc, G. (2010). BLAST-EXPLORER helps you building datasets for phylogenetic analysis. BMC Evol Biol. 12, 10-8. doi:10.1186/1471-2148-10-8

  9. Ekambaram, S.P., Perumal, S.S., & Annamalai, U. (2016). Decolorization and biodegradation of remazol reactive dyes by Clostridium species. 3 Biotech, 6, 20.10.1007/s13205-015-0335-0

  10. Gahlout, M., Gupte, S.,& Gupt, A. (2013).Optimization of culture condition for enhanced decolorization and degradation of azo dye reactive violet 1 with concomitant production of ligninolytic enzymes by Ganodermacupreum AG-1. 3 Biotech, 3, 143152. 10.1007/s13205-012-0079-z

  11. Guan, B.Z., Song, M.C., Zhang, N., Zhou, W., Xu, W.C., Zhou, X.L., Zhao, H., Cai, J.Y.,& Liao, R. X., (2014). Overexpression, characterization, and dye-decolorizing ability of a thermostable, pH-stable, and organic solvent-tolerant laccase from Bacillus pumilus W3. Journal of Molecular Catalysis B: Enzymatic, 101, 16. doi:10.1016/j.molcatb.2013.11.009

  12. Gupta, V.K., Suhas, I.A., & Mohan, D. (2003). Equilibrium uptake and sorption dynamics for the removal of a basic dye (basic red) using low-cost adsorbents. Journal of Colloid and Interface Science, 265, 257264.

  13. Ikenaga, M., Muraoka, Y., Toyota, K.,& Kimura, M. (2002). Community structure of the microbiota associated with nodal roots of rice plants along with the growth stages: estimated by PCR-RFLP analysis. Bio Fertil Soil, 36, 397-404.

  14. Iqbal, M., & Nisar, J. (2015). Cytotoxicity and mutagenicity evaluation of gamma radiation and hydrogen peroxide treated textile effluents using bioassays. Journal of Environmental Chemical Engineering, 3(3), 1912

    1917.doi: 10.1016/j.jece.2015.06.011.

  15. Jadhav, I., Vasniwal, R., Shrivastava, D., & Jadhav, K. (2016). Microorganism based treatment of azo dyes. Journal of Environmental Science and Technology, 9, 188-197. doi

    :10.3923/jest.2016.188.197

  16. Kapdan, I.K.,&Erten, B. (2007). Anaerobic treatment of saline wastewater by Halanaerobium lacusrosei. Process Biochemistry, 42, 449453. doi: 10.1016/S0141-0229(01)00468-9.

  17. Kumar, K.V., Ramamurthi, V., & Sivanesan, S. (2006).Dyes and pigments biosorption of malachite a green cationic dye onto Pithophorasp., a fresh water alga. Dyes and Pigments, 69, 7479

  18. Lane, D.J., Stahl, D.A., Olsen, G.J., Heller, D.J., & Pace, N.R. (1985). Phylogenetic analysis of the genera Thiobacillus and Thiomicrospiraby 5S rRNA sequences. J Bacteriol, 163, 7581.

  19. Mester, T.,&Tien, M. (2000). Oxidative mechanism of ligninolytic enzymes involved in the degradation of environmental pollutants. International Biodeterioration and Biodegradation, 46, 51-59.

  20. Mittal, A., Kurup, L., & Gupta, V.K. (2005). Use of waste materials bottom ash de- oiled soya, as potential adsorbents for the removal of Amaranth from aqueous solution. Journal of Hazardous Materials B, 117, 171 178.

  21. Pearson, W.R. & Lipman, D.J. (1988). Improved tools for biological sequence comparison. Proc Natl Acad Sci, 85, 2444 2448.

  22. Ponraj, M., Jamunarani, P., & Zambare, V. (2011).Isolation and optimization of culture conditions for decolorization of true blue using dye decolorizing fungi. Asian J Exp Biol Sc, 2(2), 270-277.

  23. Puvaneswari, N., Muthukrishnan, J., & Gunasekaran, P. (2006). Toxicity assessment and microbial degradation of azo dyes. Indian J Exp Biol, 44, 618- 626.

  24. Sambrook, J., & Russell, D.W. (2001). Molecular Cloning: A Laboratory Manual Cold Spring Harbor Laboratory Press, Cold Spring Harbor, NY

  25. Tantak, P.N., & Chaudhari, S. (2006). Degradation of azo dyes by sequential Fentons oxidation and aerobic biological treatment. J Hazard Mat, 136, 698-705. doi:10.1016/j.jhazmat.2005.12.049

  26. Thompson, J.D., Higgins, D.G., & Gibson T.J. (1994). CLUSTAL W: improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position- specific gap penalties and weight matrix choice. Nucleic Acids Res, 22, 46734680.

  27. Zollinger, H. (1991). Synthesis, properties and application of organic dyes and pigments, color chemistry, New York, VCH Publishers, 496, 456-980.

  28. http://www.ncbi.nlm.nih.gov

Leave a Reply