High genomic diversity of multi-drug resistant wastewater Escherichia coli
Wastewater treatment plants play an important role in the emergence of antibiotic resistance. They provide a hot spot for exchange of resistance within and between species. Here, we analyse and quantify the genomic diversity of the indicator Escherichia coli in a German wastewater treatment plant an...
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| Veröffentlicht in: | Scientific reports 2018-06, Vol.8 (1), p.8928-12, Article 8928 |
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| creator | Mahfouz, Norhan Caucci, Serena Achatz, Eric Semmler, Torsten Guenther, Sebastian Berendonk, Thomas U. Schroeder, Michael |
| description | Wastewater treatment plants play an important role in the emergence of antibiotic resistance. They provide a hot spot for exchange of resistance within and between species. Here, we analyse and quantify the genomic diversity of the indicator
Escherichia coli
in a German wastewater treatment plant and we relate it to isolates’ antibiotic resistance. Our results show a surprisingly large pan-genome, which mirrors how rich an environment a treatment plant is. We link the genomic analysis to a phenotypic resistance screen and pinpoint genomic hot spots, which correlate with a resistance phenotype. Besides well-known resistance genes, this forward genomics approach generates many novel genes, which correlated with resistance and which are partly completely unknown. A surprising overall finding of our analyses is that we do not see any difference in resistance and pan genome size between isolates taken from the inflow of the treatment plant and from the outflow. This means that while treatment plants reduce the amount of bacteria released into the environment, they do not reduce the potential for antibiotic resistance of these bacteria. |
| doi_str_mv | 10.1038/s41598-018-27292-6 |
| format | Article |
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Escherichia coli
in a German wastewater treatment plant and we relate it to isolates’ antibiotic resistance. Our results show a surprisingly large pan-genome, which mirrors how rich an environment a treatment plant is. We link the genomic analysis to a phenotypic resistance screen and pinpoint genomic hot spots, which correlate with a resistance phenotype. Besides well-known resistance genes, this forward genomics approach generates many novel genes, which correlated with resistance and which are partly completely unknown. A surprising overall finding of our analyses is that we do not see any difference in resistance and pan genome size between isolates taken from the inflow of the treatment plant and from the outflow. This means that while treatment plants reduce the amount of bacteria released into the environment, they do not reduce the potential for antibiotic resistance of these bacteria.</description><identifier>ISSN: 2045-2322</identifier><identifier>EISSN: 2045-2322</identifier><identifier>DOI: 10.1038/s41598-018-27292-6</identifier><identifier>PMID: 29895899</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45/23 ; 631/114 ; 631/326/22/1434 ; 704/172/4081 ; Antibiotic resistance ; Antibiotics ; Bacteria ; Drug resistance ; E coli ; Escherichia coli ; Genomes ; Genomic analysis ; Genomics ; Humanities and Social Sciences ; multidisciplinary ; Multidrug resistance ; Phenotypes ; Science ; Science (multidisciplinary) ; Wastewater treatment ; Wastewater treatment plants</subject><ispartof>Scientific reports, 2018-06, Vol.8 (1), p.8928-12, Article 8928</ispartof><rights>The Author(s) 2018</rights><rights>2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c577t-9f2e6cfc261492408e355dffa96c201194e47725636d3404d041740f5d178a9d3</citedby><cites>FETCH-LOGICAL-c577t-9f2e6cfc261492408e355dffa96c201194e47725636d3404d041740f5d178a9d3</cites><orcidid>0000-0002-2225-7267</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997705/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5997705/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/29895899$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Mahfouz, Norhan</creatorcontrib><creatorcontrib>Caucci, Serena</creatorcontrib><creatorcontrib>Achatz, Eric</creatorcontrib><creatorcontrib>Semmler, Torsten</creatorcontrib><creatorcontrib>Guenther, Sebastian</creatorcontrib><creatorcontrib>Berendonk, Thomas U.</creatorcontrib><creatorcontrib>Schroeder, Michael</creatorcontrib><title>High genomic diversity of multi-drug resistant wastewater Escherichia coli</title><title>Scientific reports</title><addtitle>Sci Rep</addtitle><addtitle>Sci Rep</addtitle><description>Wastewater treatment plants play an important role in the emergence of antibiotic resistance. They provide a hot spot for exchange of resistance within and between species. Here, we analyse and quantify the genomic diversity of the indicator
Escherichia coli
in a German wastewater treatment plant and we relate it to isolates’ antibiotic resistance. Our results show a surprisingly large pan-genome, which mirrors how rich an environment a treatment plant is. We link the genomic analysis to a phenotypic resistance screen and pinpoint genomic hot spots, which correlate with a resistance phenotype. Besides well-known resistance genes, this forward genomics approach generates many novel genes, which correlated with resistance and which are partly completely unknown. A surprising overall finding of our analyses is that we do not see any difference in resistance and pan genome size between isolates taken from the inflow of the treatment plant and from the outflow. This means that while treatment plants reduce the amount of bacteria released into the environment, they do not reduce the potential for antibiotic resistance of these bacteria.</description><subject>45/23</subject><subject>631/114</subject><subject>631/326/22/1434</subject><subject>704/172/4081</subject><subject>Antibiotic resistance</subject><subject>Antibiotics</subject><subject>Bacteria</subject><subject>Drug resistance</subject><subject>E coli</subject><subject>Escherichia coli</subject><subject>Genomes</subject><subject>Genomic analysis</subject><subject>Genomics</subject><subject>Humanities and Social Sciences</subject><subject>multidisciplinary</subject><subject>Multidrug resistance</subject><subject>Phenotypes</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Wastewater treatment</subject><subject>Wastewater treatment plants</subject><issn>2045-2322</issn><issn>2045-2322</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><recordid>eNp9kU9rFjEQh4MottR-AQ-y4MXLajKbPzsXQUq1SsGLnkPMzu6bsrupSbal376xb63Vg7kkMM_8JsPD2EvB3wre9e-yFAr7lou-BQMIrX7CDoFL1UIH8PTR-4Ad53zB61GAUuBzdgDYo-oRD9mXszDtmonWuATfDOGKUg7lpoljs2xzCe2QtqlJlEMubi3NtcuFrl2h1Jxmv6MU_C64xsc5vGDPRjdnOr6_j9j3j6ffTs7a86-fPp98OG-9Mqa0OAJpP3rQQiJI3lOn1DCODrUHLgRKksaA0p0eOsnlwKUwko9qEKZ3OHRH7P0-93L7sdDgaS3JzfYyhcWlGxtdsH9X1rCzU7yyCtEYrmrAm_uAFH9ulItdQvY0z26luGULXEnUstIVff0PehG3tNb17iiuoUdeKdhTPsWcE40PnxHc_rJl97ZstWXvbFldm149XuOh5bebCnR7INfSOlH6M_s_sbcL35_B</recordid><startdate>20180612</startdate><enddate>20180612</enddate><creator>Mahfouz, Norhan</creator><creator>Caucci, Serena</creator><creator>Achatz, Eric</creator><creator>Semmler, Torsten</creator><creator>Guenther, Sebastian</creator><creator>Berendonk, Thomas U.</creator><creator>Schroeder, Michael</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>88A</scope><scope>88E</scope><scope>88I</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2P</scope><scope>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0002-2225-7267</orcidid></search><sort><creationdate>20180612</creationdate><title>High genomic diversity of multi-drug resistant wastewater Escherichia coli</title><author>Mahfouz, Norhan ; 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Escherichia coli
in a German wastewater treatment plant and we relate it to isolates’ antibiotic resistance. Our results show a surprisingly large pan-genome, which mirrors how rich an environment a treatment plant is. We link the genomic analysis to a phenotypic resistance screen and pinpoint genomic hot spots, which correlate with a resistance phenotype. Besides well-known resistance genes, this forward genomics approach generates many novel genes, which correlated with resistance and which are partly completely unknown. A surprising overall finding of our analyses is that we do not see any difference in resistance and pan genome size between isolates taken from the inflow of the treatment plant and from the outflow. This means that while treatment plants reduce the amount of bacteria released into the environment, they do not reduce the potential for antibiotic resistance of these bacteria.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>29895899</pmid><doi>10.1038/s41598-018-27292-6</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-2225-7267</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 45/23 631/114 631/326/22/1434 704/172/4081 Antibiotic resistance Antibiotics Bacteria Drug resistance E coli Escherichia coli Genomes Genomic analysis Genomics Humanities and Social Sciences multidisciplinary Multidrug resistance Phenotypes Science Science (multidisciplinary) Wastewater treatment Wastewater treatment plants |
| title | High genomic diversity of multi-drug resistant wastewater Escherichia coli |
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