<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article  PUBLIC "-//NLM//DTD Journal Publishing DTD v3.0 20080202//EN" "http://dtd.nlm.nih.gov/publishing/3.0/journalpublishing3.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" dtd-version="3.0" xml:lang="en" article-type="research article"><front><journal-meta><journal-id journal-id-type="publisher-id">ABB</journal-id><journal-title-group><journal-title>Advances in Bioscience and Biotechnology</journal-title></journal-title-group><issn pub-type="epub">2156-8456</issn><publisher><publisher-name>Scientific Research Publishing</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.4236/abb.2020.117022</article-id><article-id pub-id-type="publisher-id">ABB-101536</article-id><article-categories><subj-group subj-group-type="heading"><subject>Articles</subject></subj-group><subj-group subj-group-type="Discipline-v2"><subject>Biomedical&amp;Life Sciences</subject></subj-group></article-categories><title-group><article-title>
 
 
  Screening of Methyl Red Degrading Bacteria Isolated from Textile Effluents of Savar Area, Dhaka, Bangladesh
 
</article-title></title-group><contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Ishteak</surname><given-names>Ahmed</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Farhana</surname><given-names>Haque</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Mirza</surname><given-names>A. T. M. Tanvir Rahman</given-names></name><xref ref-type="aff" rid="aff2"><sup>2</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Md.</surname><given-names>Anowar Khasru Parvez</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Taslin</surname><given-names>Jahan Mou</given-names></name><xref ref-type="aff" rid="aff1"><sup>1</sup></xref></contrib></contrib-group><aff id="aff2"><addr-line>Department of Environmental Sciences, Jahangirnagar University, Savar, Bangladesh</addr-line></aff><aff id="aff1"><addr-line>Department of Microbiology, Jahangirnagar University, Savar, Bangladesh</addr-line></aff><pub-date pub-type="epub"><day>02</day><month>07</month><year>2020</year></pub-date><volume>11</volume><issue>07</issue><fpage>301</fpage><lpage>318</lpage><history><date date-type="received"><day>17,</day>	<month>May</month>	<year>2020</year></date><date date-type="rev-recd"><day>14,</day>	<month>July</month>	<year>2020</year>	</date><date date-type="accepted"><day>17,</day>	<month>July</month>	<year>2020</year></date></history><permissions><copyright-statement>&#169; Copyright  2014 by authors and Scientific Research Publishing Inc. </copyright-statement><copyright-year>2014</copyright-year><license><license-p>This work is licensed under the Creative Commons Attribution International License (CC BY). http://creativecommons.org/licenses/by/4.0/</license-p></license></permissions><abstract><p>
 
 
  Physicochemical properties and metal contents of five dye-based textile effluents collected in summer and winter season, 201
  6
   from Savar, Dhaka, Bangladesh were within the recommended acceptable limit. The average value of all physicochemical parameters was found high in summer season except turbidity. A total of 94 heavy metal resistant bacteria (46 gram positive &amp; 48 gram negative) were isolated from textile effluent sample
  s
   and among them 17 isolates were multi metal resistant. Highest tolerance level of the isolates was shown at 10 mM concentration against Pb. All the heavy metal resistant bacterial isolates were presumably grouped into 14 genera according to morphological and biochemical assay. Three isolates designated WFB3c (65.41%), WFB4g (62%) and SFB5c (60.07%) were found to potentially degrade dye as well as tolerate heavy metal
  s
  . Three potential dye decolorizer isolates were
   screened out and most potential one (WFB3c) was identified as Proteus mirabilis according to the 16S rRNA identification. The isolated bacterial strain Proteus mirabilis would be a potential candidate for microbes based treatment to decolorize dye from textile effluents.
 
</p></abstract><kwd-group><kwd>Textile Effluent</kwd><kwd> Metal Resistant</kwd><kwd> Dye Decolorizer</kwd><kwd> &lt;i&gt;Proteus mirabilis&lt;/i&gt;</kwd></kwd-group></article-meta></front><body><sec id="s1"><title>1. Introduction</title><p>Pollution of the natural environment by heavy metals is a worldwide anxiety because of their toxic effects on living organisms and non-biodegradable nature upon exceeding a certain concentration [<xref ref-type="bibr" rid="scirp.101536-ref1">1</xref>]. In soil and aquatic environment, heavy metal contamination is also one of the critical concerns in Bangladesh [<xref ref-type="bibr" rid="scirp.101536-ref2">2</xref>]. As with the passage of time around all over Dhaka city there is increasing number of industries. Savar is one of the largest industrial belts and Dhaka export processing zone (DEPZ) is also located at Savar. The most of the industries in Savar area include garments, textile miles, leather goods, metal products, electronic goods, paper products, chemicals and fertilizers and miscellaneous products [<xref ref-type="bibr" rid="scirp.101536-ref3">3</xref>]. Industries within these areas release a huge amount of effluents containing heavy metals, toxic chemicals, hydrogen sulfide, sulfuric acid, dyes. bleach, formic acid, oil, suspended solids, organic matter, pesticides, polychlorinated biphenyls (PCBs), dioxins etc. [<xref ref-type="bibr" rid="scirp.101536-ref4">4</xref>]. Among the industries, textile industries generate huge amounts of effluents containing considerable amounts of suspended solids, additives, detergents, surfactants, carcinogenic amines, aldehydes, heavy metals and dyes [<xref ref-type="bibr" rid="scirp.101536-ref5">5</xref>]. The indiscriminate release of heavy metals into the soil and water is one of the major health concerns, since even at their low concentrations they are very toxic (arsenic, cadmium, chromium, copper, lead, mercury, nickel, selenium, silver, zinc etc.) and cannot be broken down to their non-toxic forms, resulting in long lasting effects on the ecosystem [<xref ref-type="bibr" rid="scirp.101536-ref6">6</xref>].</p><p>Dye based textile industries are also one of the major sources of pollution [<xref ref-type="bibr" rid="scirp.101536-ref7">7</xref>]. Textile industries consume a large volume of azo dyes whereas up to 50% of dyes find their ultimate way in the water as effluents [<xref ref-type="bibr" rid="scirp.101536-ref8">8</xref>]. Moreover, most of these dyes have potentially toxic effect on aquatic lives and some are even carcinogenic and mutagenic to humans [<xref ref-type="bibr" rid="scirp.101536-ref9">9</xref>]. Textile azo dyes are most often found difficult to degrade completely, and the conventional physico-chemical treatment processes are not always preferable enough for their complete degradation and conversion to CO<sub>2</sub> [<xref ref-type="bibr" rid="scirp.101536-ref10">10</xref>]. Some characteristics of these dyes like toxicity, mutagenicity and stability to light and temperature inhibit attack by microorganisms. Permanent decolorization and biodegradation is only possible upon cleavage and reduction of azo bonds respectively. So removal of such dyes is a matter of great concern [<xref ref-type="bibr" rid="scirp.101536-ref11">11</xref>]. Therefore, industrial effluents containing azo dyes before discharging into the environment must be treated to remove the dye toxicity from textile effluent [<xref ref-type="bibr" rid="scirp.101536-ref12">12</xref>]. Methods such as adsorption, chemical precipitation, and flocculation have substantial disadvantages that contain complex structural set-up, huge chemical and power consumption and formation of a large volume of sludge [<xref ref-type="bibr" rid="scirp.101536-ref13">13</xref>]. In contrast, it has been proved that bioremediation of dyeing industrial effluents through microbial activities would be the best solution [<xref ref-type="bibr" rid="scirp.101536-ref14">14</xref>].</p><p>These possible environmental application (detoxification of toxic heavy metal and decolorization of textile dyes) generated present interest to screen out the metal resistant and dye decolorizing microbes those survive in the contaminated site and its characterization to prove it further for its suitability for bioremediation of heavy metal &amp; textile dye degradation of contaminated site.</p></sec><sec id="s2"><title>2. Methodology</title><sec id="s2_1"><title>2.1. Study Area and Sample Collection</title><p>Samples were collected in both winter (February) and summer (May) season, 2016 from 5 different outlets of 5 different textile industries, located in Savar area within latitude 23.8334 and longitude 90.266670. Sample were collected in sterile plastic bottle and acidified and aseptically transported to laboratory in an ice pack and temperature was maintained at 4˚C until further work.</p></sec><sec id="s2_2"><title>2.2. Determination of Physicochemical Parameters</title><p>Physicochemical parameters such as temperature, electric conductivity (EC), total dissolved solids (TDS), total suspended solids (TSS), turbidity, pH, dissolved oxygen (DO), biological oxygen demand (BOD), and chemical oxygen demand (COD) of the textile effluent was also determined by standard methods (APHA) in both seasons [<xref ref-type="bibr" rid="scirp.101536-ref3">3</xref>]. The temperature of the effluent samples was determined by mercury thermometer graduated 0˚C to 100˚C. pH was determined by the electrometric method by using glass electrode pH meter (SCHOTT instrument). Similarly, TDS and TSS were analyzed by the gravimetric method by TDS meter (Model HANNA HI 8734) and by using evaporating dishes and Whatman filter paper having pore size 11 &#181;m. The COD test and BOD<sub>5</sub> were analyzed by modified Winkler’s method in 300 mL BOD bottles. Other parameters such as turbidity, DO and EC were also determined with the microprocessor turbidity meter, DO meter (970 DO<sub>2</sub> meter, Serial # 20600, Jenway UK) and EC meter (HANNA, EC 241 Conductivity meter) respectively. Presence of different heavy metal (Pb, Ni, Cd &amp; Cu) content was also measured by using atomic absorption spectrophotometer (AAS) (APHA).</p></sec><sec id="s2_3"><title>2.3. Bacterial Isolation and Total Viable Count</title><p>Bacteria were isolated through serial dilution of the textile effluents in normal saline after that, plated onto nutrient agar (NA) medium. The plates were incubated at 37˚C for 24 hours in an incubator. The following day, colonies were counted as cfu/ml and morphologically distinct colony was sub cultured for purification and also gram’s staining was performed [<xref ref-type="bibr" rid="scirp.101536-ref15">15</xref>]. Isolated strains (500 &#181;l of growing culture) were kept at −20˚C in nutrient broth medium containing 500 &#181;l glycerol.</p></sec><sec id="s2_4"><title>2.4. Biochemical Characterization of the Isolated Strains</title><p>Various biochemical test such as, KIA (Kligler’s Iron Agar), indole test, Methyl red test, Voges-Proskauer (VP) test, Citrate utilization test, oxidase test, catalase test were performed by the methods described in “Microbiology: A Laboratory Manual” to characterize the isolated bacterial strain [<xref ref-type="bibr" rid="scirp.101536-ref15">15</xref>].</p></sec><sec id="s2_5"><title>2.5. Metal Tolerance Test</title><p>Metal tolerance test was performed to screen metal resistant bacteria. To serve this purpose, toxic form of different heavy metal such as lead nitrate [(PbNO<sub>3</sub>)<sub>2</sub>], nickel chloride hexahydrate (NiCl<sub>2</sub>∙6H<sub>2</sub>O), cadmium sulphate hydrate (3CdSO<sub>4</sub>∙8H<sub>2</sub>O) and Copper sulphate pentahydrate (CuSO<sub>4</sub>∙5H<sub>2</sub>O) were used. All the group representative isolated bacterial strains were streaked onto Luria Bertani (LB) medium supplemented with different toxic form of these metal at various concentration (1 mM, 3 mM, 5 mM, 8 mM &amp; 10 mM) and incubated at 37˚C for 72 hours [<xref ref-type="bibr" rid="scirp.101536-ref16">16</xref>].</p></sec><sec id="s2_6"><title>2.6. Fisher Exact Test</title><p>Fisher exact test implies the significance if there are associations between two categorical variables. The test was performed to determine the statistical significance of our analysis of heavy metal tolerance of the bacterial isolates in winter and summer season.</p></sec><sec id="s2_7"><title>2.7. Azo Dye Decolorization Assay</title><p>In this study methyl red dye was used as a model azo dye. Dye decolorization activity was demonstrated as percentage of decolorization using UV-spectrophoto-meter. Culture media that was used to determine decolorization activity composed of (g/l); Peptone 5; Yeast extract 3; Beef extract 2; NaCl 5; K<sub>2</sub>HPO<sub>4</sub> 5; KH<sub>2</sub>PO<sub>4</sub> 1; MgSO<sub>4</sub>∙7H<sub>2</sub>O 0.10. All the isolates were inoculated into that broth media supplemented with 1% methyl red and kept in a mechanical shaker (150 rpm) at 37˚C for 48 hours. uninoculated culture media with methyl red dye was served as a control. After two days aliquots were withdrawn and centrifuged at 10,000 rpm for 10 minutes at room temperature. Equation (1) is the percentage (%) of dye decolorization and absorbance of the supernatant was taken at 410 nm for each sample as well as control to measure,</p><p>% ofdyedecolorization = Initialabsorbance − finalabsorbance Initialabsorbance &#215; 100 (1)</p></sec><sec id="s2_8"><title>2.8. Molecular Characterization</title><p>DNA were extracted through boiling methods. 16 s region of the ribosomal rRNA gene were identified by using universal primer 8F (5-AGT TTG ATC CTG GCT CAG-3) and 1492R (5-ACC TTG TTA CGA CTT-3) [<xref ref-type="bibr" rid="scirp.101536-ref17">17</xref>]. PCR amplification was performed according to following conditions: initial heating at 96˚C for 5 minutes followed by 35 cycles of denaturation at 94˚C for 30 seconds, annealing at 50˚C for 30 seconds, extension at 72˚C for 45 seconds and final extension of 10 minutes at 72˚C. The PCR mixture contained 1&#215; PCR buffer, 2.50 mM MgCl<sub>2</sub>, 0.20 mM dNTP, 10 pmol of each primer, 2 &#181;l template DNA and 1.25 &#181;l Taq DNA polymerase, in a final volume of 20 &#181;l. The amplified 16S rRNA genes were purified using Wizard PCR SV Gel and PCR Clean-Up System kit (Promega) in accordance with the directions of the manufacturer. The sequence was generated from the purified 16S rRNA gene using the Applied Biosystem Integrated-310 (Thermo Fisher Scientific) according to the manufacture’s instruction. Partial sequence were compared to GenBank database of the National Center for Biotechnology Information (NCBI) (http://www.ncbi.nlm.gov/GenBank) by means of the basic local alignment search tool (BLAST) to identify close phylogenetic relatives. The sequence was deposited into gene bank and aligned with the Clustal W software [<xref ref-type="bibr" rid="scirp.101536-ref18">18</xref>].</p></sec></sec><sec id="s3"><title>3. Results</title><sec id="s3_1"><title>3.1. Physicochemical Parameter and Heavy Metal Content of Textile Effluent Samples</title><p>A total of ten samples were collected from five different sampling sites during both winter and summer season and various physicochemical parameters were determined (<xref ref-type="table" rid="table1">Table 1</xref>). The temperature profile of the effluent varied significantly in both seasons and ranged from 26.2˚C to 26.8˚C during winter; 32.5˚C to 33.3˚C during summer. The EC of effluent flowing in the winter season were found to vary in the range 903 (&#181;s/cm) to 1259 (&#181;s/cm) and that of summer were 789 (&#181;s/cm) to 1159 (&#181;s/cm). Total suspended solids (TSS) is the particles dry-weight trapped through a filter. In our study TSS in winter season was found in the range 210 mg/L to 885 mg/L and in summer that was 165 mg/L to 850 mg/L. Total dissolved solids was found in range of 210 to 300 mg/L and 290 mg/L to 310 mg/L in winter and summer water respectively. Seasonal variation in the value of turbidity was measured and found in the range from 34.30 to 145.26 FTU during winter and 11.02 to 260 FTU during summer. The pH ranged from 7.18 to 7.94 during winter and 7.02 to 7.52 during summer. The DO value in winter season was found from 5.54 mg/L to 6.43 mg/L and 3.98 mg/L to 4.50 mg/L in summer. The COD parameter is a measurement of the organic</p><p>matter that present in water. The maximum value of COD in winter season was found to be 286 mg/L and minimum value was 139 mg/L and in summer the maximum value was 1371 mg/L and the minimum value was 473 mg/L. The BOD value was found in the range from 0.22 mg/L to 1 mg/L during winter season and 2 mg/L to 4.04 mg/L during summer season. In the winter season Pb &amp; Ni was found and in the summer season Cu &amp; Ni was found.</p></sec><sec id="s3_2"><title>3.2. Total Viable Bacterial Count of the Sample</title><p>TBVC is one of the significant parameters for determining water quality. The</p><table-wrap id="table1" ><label><xref ref-type="table" rid="table1">Table 1</xref></label><caption><title> Physico-chemical parameter analysis of textile effluent samples</title></caption><table><tbody><thead><tr><th align="center" valign="middle" ></th><th align="center" valign="middle" >Sample ID</th><th align="center" valign="middle" >Temp (˚C)</th><th align="center" valign="middle" >EC (&#181;s/cm)</th><th align="center" valign="middle" >TDS (mg/l)</th><th align="center" valign="middle" >TSS (mg/l)</th><th align="center" valign="middle" >Turbidity (FTU)</th><th align="center" valign="middle" >pH</th><th align="center" valign="middle" >DO (mg/l)</th><th align="center" valign="middle" >BOD (mg/l)</th><th align="center" valign="middle" >COD (mg/l)</th><th align="center" valign="middle" >Pb (ppm)</th><th align="center" valign="middle" >Ni (ppm)</th><th align="center" valign="middle" >Cd (ppm)</th><th align="center" valign="middle" >Cu (ppm)</th></tr></thead><tr><td align="center" valign="middle"  rowspan="5"  >Winter Sample</td><td align="center" valign="middle" >WBT1</td><td align="center" valign="middle" >26.6</td><td align="center" valign="middle" >1064</td><td align="center" valign="middle" >270</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >48.60</td><td align="center" valign="middle" >7.94</td><td align="center" valign="middle" >6.31</td><td align="center" valign="middle" >0.82</td><td align="center" valign="middle" >219</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.2678</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle" >WBT2</td><td align="center" valign="middle" >26.4</td><td align="center" valign="middle" >1255</td><td align="center" valign="middle" >250</td><td align="center" valign="middle" >885</td><td align="center" valign="middle" >34.30</td><td align="center" valign="middle" >7.64</td><td align="center" valign="middle" >6.43</td><td align="center" valign="middle" >0.98</td><td align="center" valign="middle" >139</td><td align="center" valign="middle" >0.527</td><td align="center" valign="middle" >0.0697</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle" >WFB3</td><td align="center" valign="middle" >26.8</td><td align="center" valign="middle" >949</td><td align="center" valign="middle" >230</td><td align="center" valign="middle" >235</td><td align="center" valign="middle" >91</td><td align="center" valign="middle" >7.18</td><td align="center" valign="middle" >6.37</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >286</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle" >WFB4</td><td align="center" valign="middle" >26.3</td><td align="center" valign="middle" >1259</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >465</td><td align="center" valign="middle" >145.26</td><td align="center" valign="middle" >7.68</td><td align="center" valign="middle" >5.54</td><td align="center" valign="middle" >0.22</td><td align="center" valign="middle" >231</td><td align="center" valign="middle" >0.0773</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle" >WFB5</td><td align="center" valign="middle" >26.2</td><td align="center" valign="middle" >903</td><td align="center" valign="middle" >210</td><td align="center" valign="middle" >850</td><td align="center" valign="middle" >126.09</td><td align="center" valign="middle" >7.75</td><td align="center" valign="middle" >5.56</td><td align="center" valign="middle" >0.24</td><td align="center" valign="middle" >229</td><td align="center" valign="middle" >0.0771</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle"  rowspan="5"  >Summer sample</td><td align="center" valign="middle" >SBT1</td><td align="center" valign="middle" >33.3</td><td align="center" valign="middle" >1159</td><td align="center" valign="middle" >290</td><td align="center" valign="middle" >640</td><td align="center" valign="middle" >40.60</td><td align="center" valign="middle" >7.52</td><td align="center" valign="middle" >4.22</td><td align="center" valign="middle" >3.98</td><td align="center" valign="middle" >1315</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0217</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0385</td></tr><tr><td align="center" valign="middle" >SBT2</td><td align="center" valign="middle" >33</td><td align="center" valign="middle" >1075</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >435</td><td align="center" valign="middle" >139</td><td align="center" valign="middle" >7.24</td><td align="center" valign="middle" >4.50</td><td align="center" valign="middle" >3.54</td><td align="center" valign="middle" >1083</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.065</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0326</td></tr><tr><td align="center" valign="middle" >SFB3</td><td align="center" valign="middle" >32.5</td><td align="center" valign="middle" >789</td><td align="center" valign="middle" >290</td><td align="center" valign="middle" >665</td><td align="center" valign="middle" >11.02</td><td align="center" valign="middle" >7.02</td><td align="center" valign="middle" >3.98</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >473</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0226</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.1195</td></tr><tr><td align="center" valign="middle" >SFB4</td><td align="center" valign="middle" >32.3</td><td align="center" valign="middle" >1090</td><td align="center" valign="middle" >310</td><td align="center" valign="middle" >165</td><td align="center" valign="middle" >260</td><td align="center" valign="middle" >7.33</td><td align="center" valign="middle" >4.05</td><td align="center" valign="middle" >4.05</td><td align="center" valign="middle" >720</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0235</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >BDL</td></tr><tr><td align="center" valign="middle" >SFB5</td><td align="center" valign="middle" >32.50</td><td align="center" valign="middle" >1082</td><td align="center" valign="middle" >300</td><td align="center" valign="middle" >850</td><td align="center" valign="middle" >26.32</td><td align="center" valign="middle" >7.29</td><td align="center" valign="middle" >4.02</td><td align="center" valign="middle" >4.02</td><td align="center" valign="middle" >1371</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0706</td><td align="center" valign="middle" >BDL</td><td align="center" valign="middle" >0.0429</td></tr></tbody></table></table-wrap><p>TVBC of different sampling stations is presented in <xref ref-type="table" rid="table2">Table 2</xref>. The counts were extended from 3 &#215; 10<sup>6</sup> to 1.8 &#215; 10<sup>7</sup> cfu/ml in the winter season and 8 &#215; 10<sup>6</sup> to 5.6 &#215; 10<sup>7</sup> cfu/ml in the summer season.</p></sec><sec id="s3_3"><title>3.3. Isolation and Characterization of the Heavy Metal Resistant Isolates</title><p>Isolates from the five different sources in both winter and summer seasons were characterized (<xref ref-type="fig" rid="fig1">Figure 1</xref>, <xref ref-type="fig" rid="fig2">Figure 2</xref>). The phenotypic characterization and their tentative identification ware based on biochemical test such as Gram staining, kligler iron agar (KIA) test, indole production, methyl red (MR), voges proskauer (VP) test, Citrate utilization test, oxidase and catalase test are presented in <xref ref-type="table" rid="table3">Table 3</xref> and <xref ref-type="table" rid="table4">Table 4</xref>. Based on these characteristics, 13 genera of bacteria were identified. Among these were probably members of the genus Pseudomonas sp., Alcaligenes sp., Bacillus sp., Staphylococcus sp., Enterobacter sp., Escherichia sp., Shigella sp., Salmonella sp., Paenibacillus sp., Micrococcus sp., Klebsiella sp., Proteus sp. and Burkholderia sp.</p></sec><sec id="s3_4"><title>3.4. Metal Tolerance Assay of the Isolates</title><p>Heavy metal resistance profile of the isolated bacteria is depicted on <xref ref-type="table" rid="table5">Table 5</xref> and <xref ref-type="fig" rid="fig3">Figure 3</xref>.</p><p>To determine the relationship of heavy metal resistance among winter and summer season, Fisher’s Exact Test was accomplished and the test results were analyzed to determine the significance in a scale of P value &lt; 0.05 (<xref ref-type="table" rid="table6">Table 6</xref>). From the analysis we could say that there is no correlation between seasonal variability</p><table-wrap id="table2" ><label><xref ref-type="table" rid="table2">Table 2</xref></label><caption><title> Seasonal variation of total bacterial load at different sampling station</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Sample ID</th><th align="center" valign="middle"  colspan="2"  >Total viable bacterial count (TVBC) cfu/ml</th></tr></thead><tr><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td></tr><tr><td align="center" valign="middle" >1</td><td align="center" valign="middle" >5 &#215; 10<sup>6</sup></td><td align="center" valign="middle" >5.6 &#215; 10<sup>7</sup></td></tr><tr><td align="center" valign="middle" >2</td><td align="center" valign="middle" >1.8 &#215; 10<sup>7</sup></td><td align="center" valign="middle" >1.1 &#215; 10<sup>7</sup></td></tr><tr><td align="center" valign="middle" >3</td><td align="center" valign="middle" >3 &#215; 10<sup>6</sup></td><td align="center" valign="middle" >8 &#215; 10<sup>6</sup></td></tr><tr><td align="center" valign="middle" >4</td><td align="center" valign="middle" >1.4 &#215; 10<sup>7</sup></td><td align="center" valign="middle" >1.7 &#215; 10<sup>7</sup></td></tr><tr><td align="center" valign="middle" >5</td><td align="center" valign="middle" >3.2 &#215; 10<sup>6</sup></td><td align="center" valign="middle" >2 &#215; 10<sup>7</sup></td></tr></tbody></table></table-wrap><table-wrap id="table3" ><label><xref ref-type="table" rid="table3">Table 3</xref></label><caption><title> Biochemical characteristics of Winter isolates</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Presumptive Organism</th><th align="center" valign="middle"  rowspan="2"  >Frequency</th><th align="center" valign="middle"  rowspan="2"  >Gram Staining</th><th align="center" valign="middle"  colspan="4"  >IMViC</th><th align="center" valign="middle"  rowspan="2"  >Catalase</th><th align="center" valign="middle"  rowspan="2"  >Oxidase</th><th align="center" valign="middle"  colspan="4"  >KIA</th></tr></thead><tr><td align="center" valign="middle" >Indole</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >VP</td><td align="center" valign="middle" >Citrate</td><td align="center" valign="middle" >Slant</td><td align="center" valign="middle" >Butt</td><td align="center" valign="middle" >H2S</td><td align="center" valign="middle" >Gas</td></tr><tr><td align="center" valign="middle" >Staphylococcus sp.</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Micrococcus sp.</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Bacillus sp.</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Shigella sp.</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Escherichia sp.</td><td align="center" valign="middle" >9</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr></tbody></table></table-wrap><table-wrap id="table4" ><label><xref ref-type="table" rid="table4">Table 4</xref></label><caption><title> Biochemical characteristics of summer isolates</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Presumptive Organism</th><th align="center" valign="middle"  rowspan="2"  >Frequency</th><th align="center" valign="middle"  rowspan="2"  >Gram Staining</th><th align="center" valign="middle"  colspan="4"  >IMViC</th><th align="center" valign="middle"  rowspan="2"  >Catalase</th><th align="center" valign="middle"  rowspan="2"  >Oxidase</th><th align="center" valign="middle"  colspan="4"  >KIA</th></tr></thead><tr><td align="center" valign="middle" >Indole</td><td align="center" valign="middle" >MR</td><td align="center" valign="middle" >VP</td><td align="center" valign="middle" >Citrate</td><td align="center" valign="middle" >Slant</td><td align="center" valign="middle" >Butt</td><td align="center" valign="middle" >H2S</td><td align="center" valign="middle" >Gas</td></tr><tr><td align="center" valign="middle" >Klebsiella sp.</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Proteus sp.</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Paenibacillus sp.</td><td align="center" valign="middle" >6</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Enterobacter sp.</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Pseudomonas sp.</td><td align="center" valign="middle" >11</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Burkholderia sp.</td><td align="center" valign="middle" >7</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Salmonella sp.</td><td align="center" valign="middle" >3</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Bacillus sp.</td><td align="center" valign="middle" >5</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Yellow</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >−</td></tr><tr><td align="center" valign="middle" >Alcaligenes sp.</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >+</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >Red</td><td align="center" valign="middle" >−</td><td align="center" valign="middle" >−</td></tr></tbody></table></table-wrap><p>in metal resistance.</p></sec><sec id="s3_5"><title>3.5. Dye Decolorization</title><p>Methyl red dye (1%) was used to check the decolorization ability of the isolates</p><table-wrap id="table5" ><label><xref ref-type="table" rid="table5">Table 5</xref></label><caption><title> Frequency of heavy metal resistant bacteria at various concentration</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="2"  >Heavy Metal</th><th align="center" valign="middle"  colspan="2"  >1 mM</th><th align="center" valign="middle"  colspan="2"  >3 mM</th><th align="center" valign="middle"  colspan="2"  >5 mM</th><th align="center" valign="middle"  colspan="2"  >8 Mm</th><th align="center" valign="middle"  colspan="2"  >10 mM</th></tr></thead><tr><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td><td align="center" valign="middle" >Winter</td><td align="center" valign="middle" >Summer</td></tr><tr><td align="center" valign="middle" >Ni</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >2</td><td align="center" valign="middle" >36</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr><tr><td align="center" valign="middle" >Pb</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >43</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >39</td><td align="center" valign="middle" >18</td><td align="center" valign="middle" >19</td><td align="center" valign="middle" >8</td><td align="center" valign="middle" >3</td></tr><tr><td align="center" valign="middle" >Cd</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >1</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td><td align="center" valign="middle" >0</td></tr></tbody></table></table-wrap><table-wrap id="table6" ><label><xref ref-type="table" rid="table6">Table 6</xref></label><caption><title> Fisher’s exact test</title></caption><table><tbody><thead><tr><th align="center" valign="middle"  rowspan="3"  >Heavy Metal</th><th align="center" valign="middle"  colspan="4"  >Frequency</th><th align="center" valign="middle"  rowspan="3"  >p value (&lt;0.05)</th></tr></thead><tr><td align="center" valign="middle"  colspan="2"  >Winter</td><td align="center" valign="middle"  colspan="2"  >Summer</td></tr><tr><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >Negative</td><td align="center" valign="middle" >Positive</td><td align="center" valign="middle" >Negative</td></tr><tr><td align="center" valign="middle" >Ni</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >Cu</td><td align="center" valign="middle" >45</td><td align="center" valign="middle" >49</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >0.88</td></tr><tr><td align="center" valign="middle" >Pb</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >47</td><td align="center" valign="middle" >44</td><td align="center" valign="middle" >50</td><td align="center" valign="middle" >0.0645</td></tr><tr><td align="center" valign="middle" >Cd</td><td align="center" valign="middle" >4</td><td align="center" valign="middle" >90</td><td align="center" valign="middle" >12</td><td align="center" valign="middle" >82</td><td align="center" valign="middle" >0.7705</td></tr></tbody></table></table-wrap><p>(<xref ref-type="fig" rid="fig4">Figure 4</xref>). Two isolates from the winter sample, WFB3c &amp; WFB4g indicated highest decolorization ability of 65.41% &amp; 62% correspondingly. Among the summer isolates, SFB5c showed the highest decolorizing ability of 60.07%.</p></sec><sec id="s3_6"><title>3.6. Molecular Identification</title><p>WFB3c strains was belonged to genera Proteus. Sequence analysis revealed that the strain showed 98% similarity with Proteus mirabilis (<xref ref-type="fig" rid="fig5">Figure 5</xref>). The following sequence was deposited in NCBI database with the accession number KY070340.</p></sec></sec><sec id="s4"><title>4. Discussion</title><p>The textile industries are especially problematic among the various industrial sectors as they produce substantial quantities of wastewater which could have detrimental consequences if released into the environment without any treatment. The environmental issues associated with textile activities are largely concerned due to the extensive use of dyes and various heavy metals [<xref ref-type="bibr" rid="scirp.101536-ref19">19</xref>]. Different physical and chemical methods for remediation of textile dyes and heavy metals are inefficient. These methods are too costly in aspect of developing country like Bangladesh [20 , 21]. Developing efficient and environmental friendly technique to remove heavy metals and textile dyes is of great importance. Application of indigenous microbial community is a suitable alternative for heavy metal bioremediation [<xref ref-type="bibr" rid="scirp.101536-ref22">22</xref>] and azo dye biodegradation [<xref ref-type="bibr" rid="scirp.101536-ref23">23</xref>] from the environment.</p><p>Momentous seasonal variation was observed in the physicochemical parameters of the textile effluents. <xref ref-type="table" rid="table1">Table 1</xref> represents the physico-chemical parameters of the water column such as BOD, COD, DO, EC, pH, temperature, turbidity etc. The physicochemical parameters are very important as they influence the water quality considerably. Furthermore, aquatic life also suffers due to water quality depletion.</p><p>Temperature is one of the most significant ecological factors which controls the organisms’ physiological behavior and distribution of the organisms [<xref ref-type="bibr" rid="scirp.101536-ref24">24</xref>]. The average temperature of the textile effluent was observed 32.7˚C during the summer season and 26.5˚C during the winter season. This is the recommended limit for no risk water quality guidelines for domestic use [<xref ref-type="bibr" rid="scirp.101536-ref25">25</xref>]. Temperature value was found from 48˚C to 59˚C in the textile effluent in Dhaka Export Processing Zone (DEPZ) area [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>]. The total concentration of charged ionic species in water is usually indicated by electrical conductivity (EC) value. The measured EC value of this study (789 to 1259 &#181;s/cm) was found lower than the average values of 4542.50 &#181;s/cm reported in Bangladesh [<xref ref-type="bibr" rid="scirp.101536-ref27">27</xref>]. The standard value of EC is 1200 μs/cm [<xref ref-type="bibr" rid="scirp.101536-ref28">28</xref>]. In another report it was reported from 2250 to 19,000 μs/cm in the textile effluent in DEPZ area [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>]. The total study area reveals the high EC except the sample 3 in summer season (789 &#181;s/cm). High EC shows that large amounts of ionic substances such as sodium, iron, potassium etc. which are present in the industrial effluents are similarly found in the effluent of textile [<xref ref-type="bibr" rid="scirp.101536-ref29">29</xref>]. The use of electrolytes (sodium sulfate) in the bleaching process and the use of sodium carbonate and salt in the dyeing process cause an increase in the EC value of the wastewater [<xref ref-type="bibr" rid="scirp.101536-ref30">30</xref>].</p><p>The total dissolved solids (TDS) primarily indicates the presence of various forms of minerals such as ammonia, alkalis, nitrate, nitrite, phosphate, some acids, sulphate and metallic ions etc. that containing both dissolved solids and colloidal in water. Also, it is a significant chemical parameter of water [<xref ref-type="bibr" rid="scirp.101536-ref29">29</xref>]. The TDS value of the study area was lied from 210 and 310 mg/L. The present findings acknowledged another study [<xref ref-type="bibr" rid="scirp.101536-ref31">31</xref>]. The TDS value was found 855 to 1315 mg/L in the textile effluent in DEPZ area [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>]. It was observed from the result that the total suspended solids (TSS) value ranged from 165 to 885 mg/L and all the samples were above the standard DoE (150 mg/L) value of wastewater permitted to emit in inland surface water [<xref ref-type="bibr" rid="scirp.101536-ref28">28</xref>]. On the contrary, the TSS value in the textile effluent in DEPZ area was found from 6.20 to 175 mg/L [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>].</p><p>The textile effluent turbidity was correspondingly monitored. It was varied from 11.02 FTU to 260 FTU. Average turbidity was high in summer (95.39 FTU) than winter (89.05 FTU). The turbidity value obtained from the effluent of both of the seasons was higher than standards of World Health Organization (WHO) [<xref ref-type="bibr" rid="scirp.101536-ref32">32</xref>]. The pH value in this study ranged from 7.02 to 7.94 (slightly alkaline) within the acceptable limit for different uses such as irrigation, domestic and recreational, according to the standard DoE value (pH 6 to 9) [<xref ref-type="bibr" rid="scirp.101536-ref28">28</xref>]. The pH value of the textile effluent in the DEPZ area was found from 7.20 to 10.30 [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>]. The standard range of pH for surface water and for groundwater systems is from 6.5 to 8.50 and from 6 to 8.50 correspondingly in accordance with Environmental Conservation Rules, 1997 [<xref ref-type="bibr" rid="scirp.101536-ref33">33</xref>]. The average pH values were reported 8.18 in textiles effluents in Bangladesh [<xref ref-type="bibr" rid="scirp.101536-ref34">34</xref>]. The pH parameter not only greatly affects biological activity but also affects some properties of water body, activity of organism and effectiveness of toxic substances present in the aquatic environment. To determine the corrosiveness of the water, measurement of pH value is needed [<xref ref-type="bibr" rid="scirp.101536-ref29">29</xref>]. <sup> </sup></p><p>The another important parameter, dissolved oxygen (DO) value was found from 3.98 to 6.43 mg/L. According to standard the effluent should contain DO 4.80 - 8 mg/L [<xref ref-type="bibr" rid="scirp.101536-ref28">28</xref>]. The DO value was found from 2.15 to 5.90 mg/L in the textile effluent in DEPZ area [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>]. In biological oxygen demand (BOD) value the seasonal variation ranged from 0.22 to 4.05 mg/L. During the summer season the observed BOD value was higher than in the winter season. The permissible limit for BOD for industrial effluent is 50 mg/L [<xref ref-type="bibr" rid="scirp.101536-ref31">31</xref>]. In this study, the BOD value was observed below than the standard and it might indicate good quality of the effluent. The BOD value was found ranging from 94.33 to 141.66 mg/L in the textile effluent of DEPZ area in a previous study [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>].</p><p>The value of chemical oxygen demand (COD) was found above the standard (200 mg/L) both in winter and summer season, except in WBT2 a winter sample with value of 139 mg/L [<xref ref-type="bibr" rid="scirp.101536-ref28">28</xref>]. The remarkable rise in COD levels compared with BOD also suggests that there might be significant levels of toxicants e.g. the heavy metals might possibly be present into the wastewater [<xref ref-type="bibr" rid="scirp.101536-ref35">35</xref>]. The COD value was reported 170.88 to 854.40 mg/L in the textile effluent in DEPZ area [<xref ref-type="bibr" rid="scirp.101536-ref26">26</xref>].</p><p>Heavy metals are highly toxic and so can cause detrimental effects even at very low concentration. Metals usually arise from dye stripping agents, metal complex dyes, oxidizing agents and finishers in textile effluent [<xref ref-type="bibr" rid="scirp.101536-ref36">36</xref>]. In our study Pb and Ni were found in winter season but Ni &amp; Cu in summer season. On the contrary, in this study Cd was not found in both seasons. In a study conducted in a textile industry of Savar area except Cu, Pb and Cd was not found in both seasons [<xref ref-type="bibr" rid="scirp.101536-ref27">27</xref>]. In the following investigation, the measured concentrations of heavy metals (Cd, Cu, Pb and Ni) are lower than the permissible limit of wastewater discharge standards according to DoE (2008). If heavy metals are found beyond permissible limits in water may be toxic to human beings, aquatic flora and fauna. It is quite evident that these heavy metals may enter the food chain, and through bioaccumulation and bio-magnifications can easily reach humans through plants and can cause various deadly diseases [<xref ref-type="bibr" rid="scirp.101536-ref37">37</xref>].</p><p>Total viable bacterial count (TBVC) is one of the important parameters for determining water quality [<xref ref-type="bibr" rid="scirp.101536-ref38">38</xref>]. In monitoring different types of pollutants, the total bacterial count may provide extremely valuable statistics. It has long been reported that bacteria inhabit in industrial effluent utilizing its constituents as their source of energy. Similarly, the textile effluent that has been analysis in our study was appeared to harbor a significant number of bacteria. In this study, the average bacterial load was found 1.6 &#215; 10<sup>7</sup> cfu/ml that was determined by TBVC method and was performed by serial dilution of the effluent and subsequent inoculation onto nutrient agar medium, similar to another previous study [<xref ref-type="bibr" rid="scirp.101536-ref39">39</xref>]. The high bacterial counts reflect that the textile dyeing effluents remain good sources of nutrients to facilitate the growth of certain bacteria [<xref ref-type="bibr" rid="scirp.101536-ref40">40</xref>].</p><p>It was found that seasonal variation is an important factor which influences in microbial distribution, similar to another previous study [<xref ref-type="bibr" rid="scirp.101536-ref41">41</xref>]. They found that the seasonal cycle of the organism was correlated with the winter and summer seasons and the highest numbers were found in the summer season. In this present investigation, the impact of seasonal variations in TBVC was observed. There were significant changes in the total viable bacterial count in summer season (average 2.24 &#215; 10<sup>7</sup>) as compare to winter season (average 8.64 &#215; 10<sup>6</sup>). The temperature of the summer season might higher microbial growth.</p><p>The characterization of microbial diversity is the first step for any sort of understanding of a system, either its function or applications [<xref ref-type="bibr" rid="scirp.101536-ref42">42</xref>]. In the present study, 13 different bacterial genera were isolated and identified from the textile dye effluent. The isolated bacterial isolates were presumptively identified and characterized by biochemical tests as Pseudomonas sp., Alcaligenes sp., Bacillus sp., Staphylococcus sp., Enterobacter sp., Escherichia sp., Shigella sp., Salmonella sp., Paenibacillus sp., Micrococcus sp., Klebsiella sp., Proteus sp. and Burkholderia sp., this finding of the present study is consistent with some other previous studies [42 - 44].</p><p>Heavy metal contamination in aquatic environment is an emerging quality issue for developing countries like Bangladesh [<xref ref-type="bibr" rid="scirp.101536-ref1">1</xref>]. Exposure of xenobiotic compounds such as textile dyes, heavy metals to the environment i.e., microbial habitat, facilitated development of various resistance mechanism for the adaptation to this environment. These mechanisms could be used to detoxify &amp; degrade of heavy metals and textile dyes into simpler form from the polluted environment [1 , 45]. Biological treatment of wastewater through microbial activities might be an active field of research.</p><p>For the treatment of industrial waste water containing heavy metals, it is necessary to test the ability of the organisms to grow in the presence of heavy metal is very crucial [<xref ref-type="bibr" rid="scirp.101536-ref46">46</xref>]. In present study, all the 94 isolates were tested to determine their ability to grow in the presence of cadmium (Cd), cupper (Cu), lead (Pb) and nickel (Ni) at different concentrations (1 mM, 3 mM, 5 mM, 8 mM &amp; 10 mM). All the isolates could tolerate lead, 92 &amp; 58 isolate were shown to tolerance nickel &amp; cupper respectively and in case of cadmium it was observed that only 16 isolate could tolerate it. It was observed that cadmium was toxic, nickel &amp; cupper was moderately toxic for most of the studied isolates above 1 mM concentration (<xref ref-type="table" rid="table5">Table 5</xref> &amp; <xref ref-type="table" rid="table6">Table 6</xref>). Microorganisms have acquired different types protective mechanisms to thrive in very high levels of lead. Among the various adaptive mechanisms adopted by lead resistant microorganisms include: P-type ATPase mediated efflux of lead [<xref ref-type="bibr" rid="scirp.101536-ref47">47</xref>].</p><p>In this study, it was found that 17 isolates were observed to tolerate all the tested heavy metals (Pb, Ni, Cd &amp; Cu). A study was conducted in 2012 and they isolated an organism belonging to the Bacillus sp. having the ability to grow in presence of a wide range of metals namely nickel, cadmium, chromium and cobalt in the order Cd<sup>2+</sup> &gt; Cr<sup>6+</sup> &gt; Ni<sup>2+</sup> &gt; Co<sup>2+</sup> [<xref ref-type="bibr" rid="scirp.101536-ref48">48</xref>]. Multiple metal resistant (Hg<sup>2+</sup>, Pb<sup>2+</sup>, Cd<sup>2+</sup>, As<sup>5+</sup> and Cr<sup>6+</sup>) isolates were also found in another investigation [<xref ref-type="bibr" rid="scirp.101536-ref49">49</xref>]. Genomic analysis will reveal the exact mechanism of developing resistance of studied isolates.</p><p>Azo dyes like methyl red are known to be major human carcinogens besides being environmental damage [<xref ref-type="bibr" rid="scirp.101536-ref50">50</xref>]. As a result, dye decolorization has been a primary focus of dye wastewater treatment processes. There are several physicochemical methods for dye removal from colored effluents that are not suitable due to some limitations such as handling of produced sludge, high cost etc. [<xref ref-type="bibr" rid="scirp.101536-ref51">51</xref>]. Currently biological decolorization method is both competitive and alternative to conventional method [<xref ref-type="bibr" rid="scirp.101536-ref52">52</xref>]. There are several reports on isolation of dye decolorizing bacteria, fungi and yeast [<xref ref-type="bibr" rid="scirp.101536-ref53">53</xref>]. In this study, three bacteria were isolated having potentiality of dye decolorizing. Among them, two [WFB4g (62%) &amp; WFB3c (65.41%)] from winter season and one [SFB5c (60.07%)] from the summer season.</p><p>From these isolates, one (WFB3c) was found to be highly potential dye decolorizer and was identified as Proteus mirabilis according to 16S rRNA sequence [accession number KY070340]. In another study, Proteus mirabilis decolorizes dye under anoxic conditions while in some cases they require additional carbon sources to decolorize since they are unable to utilize the dyes due to their toxicity [<xref ref-type="bibr" rid="scirp.101536-ref54">54</xref>]. So, these isolate may be used in the biological treatment of industrial effluent containing methyl red dye. Further molecular characterization will be carried out in the future in order to fully appreciate the azo dye decolorizing ability of these isolates.</p></sec><sec id="s5"><title>5. Conclusion</title><p>Further molecular investigation of these bacterial strains could make them potential candidates for dye degradation of textile industries in Bangladesh. The metal resistance capability of these isolates might offer a beneficial tool for the simultaneous monitoring of many contaminants and pollutants in the environment. Therefore, in details study of these isolates is needed for their optimization and implementation in the treatment plant of textile industries.</p></sec><sec id="s6"><title>Acknowledgements</title><p>The work has been supported by grants from the University Grants Commission (UGC) and Jahangirnagar University. Authors would like to thank Mr. Nikhil Chandra Bhoumik of Wazed Mia Center of Excellence, Jahangirnagar University for detection of metal contents of the samples.</p></sec><sec id="s7"><title>Conflicts of Interest</title><p>The authors do not have any conflicts of interest or financial disclosures to report.</p></sec><sec id="s8"><title>Cite this paper</title><p>Ahmed, I., Haque, F., Rahman, M.A.T.M.T., Parvez, Md.A.K. and Mou, T.J. (2020) Screening of Methyl Red Degrading Bacteria Isolated from Textile Effluents of Savar Area, Dhaka, Bangladesh. 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