Characterization of MAR and heavy metal-tolerant E. coli O157:H7 in water sources: a suggestion for behavioral intervention
The water sources in developing countries are usually contaminated with the members of enterobacteriaceae leading to gastrointestinal infections. There has been an increasing consumption of antibiotics during last decade in India. The development of multiple antibiotic resistance and heavy metal tol...
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description | The water sources in developing countries are usually contaminated with the members of enterobacteriaceae leading to gastrointestinal infections. There has been an increasing consumption of antibiotics during last decade in India. The development of multiple antibiotic resistance and heavy metal tolerance among waterborne bacteria has been coexisting traits. Keeping above features in view, 51 waterborne isolates of
Escherichia coli
O157:H7 have been characterized in the present study. The disk diffusion test for antibiotic sensitivity assay revealed that all the isolates were resistant to at least one or more antibiotics. Cephalosporins were least effective, while fluoroquinolones and aminoglycosides were most effective antibiotics. The isolates shared resistance pattern similarities regardless of their sources. The isolates were subjected to test maximum tolerance concentration of heavy metals such as arsenic, lead, chromium and mercury. About 98% isolates tolerated arsenic at 250 μg ml
−1
or various above concentrations. Mercury >25 μg ml
−1
was not tolerated by more than 90% isolates. In dug well, a commonly used water source in rural India, the isolates exhibited multiple antibiotic resistance index of 0.68 indicating it as high risk contaminating source. PCR–RFLP of 16S rDNA distinguished isolates into four groups with the smallest group represented by 3 isolates. Three isolates belonged to different sources but shared all the features of biochemical, serological, multiple antibiotic resistance and heavy metal tolerance test. 16S rDNA sequence analysis showed that the three selected isolates were closely related to each other. Based on the microbial and molecular findings, the study recommends to follow social cognitive theory to alter the behavior of the local communities for sustainable use of water resources. |
doi_str_mv | 10.1007/s10668-017-9998-5 |
format | Article |
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Escherichia coli
O157:H7 have been characterized in the present study. The disk diffusion test for antibiotic sensitivity assay revealed that all the isolates were resistant to at least one or more antibiotics. Cephalosporins were least effective, while fluoroquinolones and aminoglycosides were most effective antibiotics. The isolates shared resistance pattern similarities regardless of their sources. The isolates were subjected to test maximum tolerance concentration of heavy metals such as arsenic, lead, chromium and mercury. About 98% isolates tolerated arsenic at 250 μg ml
−1
or various above concentrations. Mercury >25 μg ml
−1
was not tolerated by more than 90% isolates. In dug well, a commonly used water source in rural India, the isolates exhibited multiple antibiotic resistance index of 0.68 indicating it as high risk contaminating source. PCR–RFLP of 16S rDNA distinguished isolates into four groups with the smallest group represented by 3 isolates. Three isolates belonged to different sources but shared all the features of biochemical, serological, multiple antibiotic resistance and heavy metal tolerance test. 16S rDNA sequence analysis showed that the three selected isolates were closely related to each other. Based on the microbial and molecular findings, the study recommends to follow social cognitive theory to alter the behavior of the local communities for sustainable use of water resources.</description><identifier>ISSN: 1387-585X</identifier><identifier>EISSN: 1573-2975</identifier><identifier>DOI: 10.1007/s10668-017-9998-5</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Aminoglycosides ; Antibiotic resistance ; Antibiotics ; Arsenic ; Bacteria ; Cephalosporins ; Chromium ; Cognitive ability ; Cognitive-behavioral factors ; Community ; Consumption ; Developing countries ; Drug resistance ; E coli ; Earth and Environmental Science ; Ecology ; Economic Geology ; Economic Growth ; Environment ; Environmental Economics ; Environmental Management ; Escherichia coli ; Fluoroquinolones ; Heavy metals ; High risk ; LDCs ; Lead ; Local communities ; Mercury ; Mercury (metal) ; Metal concentrations ; Metals ; Microorganisms ; Resistance ; rRNA 16S ; Rural communities ; Social cognitive theory ; Sustainable Development ; Sustainable use ; Tolerance ; Water ; Water resources</subject><ispartof>Environment, development and sustainability, 2018-12, Vol.20 (6), p.2447-2461</ispartof><rights>Springer Science+Business Media B.V. 2017</rights><rights>Environment, Development and Sustainability is a copyright of Springer, (2017). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c355t-f55a0590f441b309885f45b64caf6ce6a47d0fd0da813146075265c877e02c53</citedby><cites>FETCH-LOGICAL-c355t-f55a0590f441b309885f45b64caf6ce6a47d0fd0da813146075265c877e02c53</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10668-017-9998-5$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10668-017-9998-5$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Kumar, Shailendra</creatorcontrib><creatorcontrib>Tripathi, Vinayak Ram</creatorcontrib><creatorcontrib>Vikram, Surendra</creatorcontrib><creatorcontrib>Kumar, Bipul</creatorcontrib><creatorcontrib>Garg, Satyendra Kumar</creatorcontrib><title>Characterization of MAR and heavy metal-tolerant E. coli O157:H7 in water sources: a suggestion for behavioral intervention</title><title>Environment, development and sustainability</title><addtitle>Environ Dev Sustain</addtitle><description>The water sources in developing countries are usually contaminated with the members of enterobacteriaceae leading to gastrointestinal infections. There has been an increasing consumption of antibiotics during last decade in India. The development of multiple antibiotic resistance and heavy metal tolerance among waterborne bacteria has been coexisting traits. Keeping above features in view, 51 waterborne isolates of
Escherichia coli
O157:H7 have been characterized in the present study. The disk diffusion test for antibiotic sensitivity assay revealed that all the isolates were resistant to at least one or more antibiotics. Cephalosporins were least effective, while fluoroquinolones and aminoglycosides were most effective antibiotics. The isolates shared resistance pattern similarities regardless of their sources. The isolates were subjected to test maximum tolerance concentration of heavy metals such as arsenic, lead, chromium and mercury. About 98% isolates tolerated arsenic at 250 μg ml
−1
or various above concentrations. Mercury >25 μg ml
−1
was not tolerated by more than 90% isolates. In dug well, a commonly used water source in rural India, the isolates exhibited multiple antibiotic resistance index of 0.68 indicating it as high risk contaminating source. PCR–RFLP of 16S rDNA distinguished isolates into four groups with the smallest group represented by 3 isolates. Three isolates belonged to different sources but shared all the features of biochemical, serological, multiple antibiotic resistance and heavy metal tolerance test. 16S rDNA sequence analysis showed that the three selected isolates were closely related to each other. Based on the microbial and molecular findings, the study recommends to follow social cognitive theory to alter the behavior of the local communities for sustainable use of water resources.</description><subject>Aminoglycosides</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Arsenic</subject><subject>Bacteria</subject><subject>Cephalosporins</subject><subject>Chromium</subject><subject>Cognitive ability</subject><subject>Cognitive-behavioral factors</subject><subject>Community</subject><subject>Consumption</subject><subject>Developing countries</subject><subject>Drug resistance</subject><subject>E coli</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Economic Geology</subject><subject>Economic Growth</subject><subject>Environment</subject><subject>Environmental Economics</subject><subject>Environmental Management</subject><subject>Escherichia coli</subject><subject>Fluoroquinolones</subject><subject>Heavy metals</subject><subject>High risk</subject><subject>LDCs</subject><subject>Lead</subject><subject>Local communities</subject><subject>Mercury</subject><subject>Mercury (metal)</subject><subject>Metal concentrations</subject><subject>Metals</subject><subject>Microorganisms</subject><subject>Resistance</subject><subject>rRNA 16S</subject><subject>Rural communities</subject><subject>Social cognitive theory</subject><subject>Sustainable Development</subject><subject>Sustainable use</subject><subject>Tolerance</subject><subject>Water</subject><subject>Water resources</subject><issn>1387-585X</issn><issn>1573-2975</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kMtKxDAUhosoeH0AdwHX0ZO2uXR2MngDZUBm4S6cSZOZSqfRpDMy-vKmVnDlKgfy_d85_Fl2zuCSAciryEAIRYFJWlWVonwvO2JcFjSvJN9Pc6Ek5Yq_HGbHMb4C5FDl4ij7mq4woOltaD6xb3xHvCNP188Eu5qsLG53ZG17bGnvWxuw68nNJTG-bcgs6Sf3kjQd-cCUJ9FvgrFxQpDEzXJp44_O-UAWdoXbxgdsE53Qre2Gv9PswGEb7dnve5LNb2_m03v6OLt7mF4_UlNw3lPHOQKvwJUlWxRQKcVdyReiNOiEsQJLWYOroUbFClYKkDwX3CgpLeSGFyfZxah9C_59k87Sr-nSLm3UOStAKiWAJYqNlAk-xmCdfgvNGsNOM9BDxXqsWKeK9VCxHsz5mImJ7ZY2_Jn_D30DbIZ-aw</recordid><startdate>20181201</startdate><enddate>20181201</enddate><creator>Kumar, Shailendra</creator><creator>Tripathi, Vinayak Ram</creator><creator>Vikram, Surendra</creator><creator>Kumar, 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of MAR and heavy metal-tolerant E. coli O157:H7 in water sources: a suggestion for behavioral intervention</title><author>Kumar, Shailendra ; Tripathi, Vinayak Ram ; Vikram, Surendra ; Kumar, Bipul ; Garg, Satyendra Kumar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c355t-f55a0590f441b309885f45b64caf6ce6a47d0fd0da813146075265c877e02c53</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Aminoglycosides</topic><topic>Antibiotic resistance</topic><topic>Antibiotics</topic><topic>Arsenic</topic><topic>Bacteria</topic><topic>Cephalosporins</topic><topic>Chromium</topic><topic>Cognitive ability</topic><topic>Cognitive-behavioral factors</topic><topic>Community</topic><topic>Consumption</topic><topic>Developing countries</topic><topic>Drug resistance</topic><topic>E coli</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Economic Geology</topic><topic>Economic Growth</topic><topic>Environment</topic><topic>Environmental Economics</topic><topic>Environmental Management</topic><topic>Escherichia coli</topic><topic>Fluoroquinolones</topic><topic>Heavy metals</topic><topic>High risk</topic><topic>LDCs</topic><topic>Lead</topic><topic>Local communities</topic><topic>Mercury</topic><topic>Mercury (metal)</topic><topic>Metal concentrations</topic><topic>Metals</topic><topic>Microorganisms</topic><topic>Resistance</topic><topic>rRNA 16S</topic><topic>Rural communities</topic><topic>Social cognitive theory</topic><topic>Sustainable Development</topic><topic>Sustainable use</topic><topic>Tolerance</topic><topic>Water</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kumar, Shailendra</creatorcontrib><creatorcontrib>Tripathi, Vinayak Ram</creatorcontrib><creatorcontrib>Vikram, Surendra</creatorcontrib><creatorcontrib>Kumar, 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sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kumar, Shailendra</au><au>Tripathi, Vinayak Ram</au><au>Vikram, Surendra</au><au>Kumar, Bipul</au><au>Garg, Satyendra Kumar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Characterization of MAR and heavy metal-tolerant E. coli O157:H7 in water sources: a suggestion for behavioral intervention</atitle><jtitle>Environment, development and sustainability</jtitle><stitle>Environ Dev Sustain</stitle><date>2018-12-01</date><risdate>2018</risdate><volume>20</volume><issue>6</issue><spage>2447</spage><epage>2461</epage><pages>2447-2461</pages><issn>1387-585X</issn><eissn>1573-2975</eissn><abstract>The water sources in developing countries are usually contaminated with the members of enterobacteriaceae leading to gastrointestinal infections. There has been an increasing consumption of antibiotics during last decade in India. The development of multiple antibiotic resistance and heavy metal tolerance among waterborne bacteria has been coexisting traits. Keeping above features in view, 51 waterborne isolates of
Escherichia coli
O157:H7 have been characterized in the present study. The disk diffusion test for antibiotic sensitivity assay revealed that all the isolates were resistant to at least one or more antibiotics. Cephalosporins were least effective, while fluoroquinolones and aminoglycosides were most effective antibiotics. The isolates shared resistance pattern similarities regardless of their sources. The isolates were subjected to test maximum tolerance concentration of heavy metals such as arsenic, lead, chromium and mercury. About 98% isolates tolerated arsenic at 250 μg ml
−1
or various above concentrations. Mercury >25 μg ml
−1
was not tolerated by more than 90% isolates. In dug well, a commonly used water source in rural India, the isolates exhibited multiple antibiotic resistance index of 0.68 indicating it as high risk contaminating source. PCR–RFLP of 16S rDNA distinguished isolates into four groups with the smallest group represented by 3 isolates. Three isolates belonged to different sources but shared all the features of biochemical, serological, multiple antibiotic resistance and heavy metal tolerance test. 16S rDNA sequence analysis showed that the three selected isolates were closely related to each other. Based on the microbial and molecular findings, the study recommends to follow social cognitive theory to alter the behavior of the local communities for sustainable use of water resources.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10668-017-9998-5</doi><tpages>15</tpages></addata></record> |
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subjects | Aminoglycosides Antibiotic resistance Antibiotics Arsenic Bacteria Cephalosporins Chromium Cognitive ability Cognitive-behavioral factors Community Consumption Developing countries Drug resistance E coli Earth and Environmental Science Ecology Economic Geology Economic Growth Environment Environmental Economics Environmental Management Escherichia coli Fluoroquinolones Heavy metals High risk LDCs Lead Local communities Mercury Mercury (metal) Metal concentrations Metals Microorganisms Resistance rRNA 16S Rural communities Social cognitive theory Sustainable Development Sustainable use Tolerance Water Water resources |
title | Characterization of MAR and heavy metal-tolerant E. coli O157:H7 in water sources: a suggestion for behavioral intervention |
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