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The European livestock resistome
Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the...
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Published in: | mSystems 2024-04, Vol.9 (4), p.e0132823-e0132823 |
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creator | Munk, Patrick Yang, Dongsheng Röder, Timo Maier, Leonie Petersen, Thomas Nordahl Duarte, Ana Sofia Ribeiro Clausen, Philip T L C Brinch, Christian Van Gompel, Liese Luiken, Roosmarijn Wagenaar, Jaap A Schmitt, Heike Heederik, Dick J J Mevius, Dik J Smit, Lidwien A M Bossers, Alex Aarestrup, Frank M |
description | Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the effects of per-farm management practices and antimicrobial usage (AMU) on the resistome in pigs, broilers, and veal calves. We also provide an in-depth study of the associations between bacterial diversity, resistome diversity, and AMR abundances as well as co-occurrence analysis of bacterial taxa and antimicrobial resistance genes (ARGs) and the universality of the latter. The resistomes of veal calves and pigs clustered together, as did those of avian origin, while the rainbow trout resistome was different. Moreover, we identified clear core resistomes for each specific food-producing animal species. We identified positive associations between bacterial alpha diversity and both resistome alpha diversity and abundance. Network analyses revealed very few taxa-ARG associations in pigs but a large number for the avian species. Using updated reference databases and optimized bioinformatics, previously reported significant associations between AMU, biosecurity, and AMR in pig and poultry farms were validated. AMU is an important driver for AMR; however, our integrated analyses suggest that factors contributing to increased bacterial diversity might also be associated with higher AMR load. We also found that dispersal limitations of ARGs are shaping livestock resistomes, and future efforts to fight AMR should continue to emphasize biosecurity measures.IMPORTANCEUnderstanding the occurrence, diversity, and drivers for antimicrobial resistance (AMR) is important to focus future control efforts. So far, almost all attempts to limit AMR in livestock have addressed antimicrobial consumption. We here performed an integrated analysis of the resistomes of five important farmed animal populations across Europe finding that the resistome and AMR levels are also shaped by factors related to bacterial diversity, as well as dispersal limitations. Thus, future studies and interventions aimed at reducing AMR should not only address antimicrobial usage but also consider other epidemiological and ecological factors. |
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Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the effects of per-farm management practices and antimicrobial usage (AMU) on the resistome in pigs, broilers, and veal calves. We also provide an in-depth study of the associations between bacterial diversity, resistome diversity, and AMR abundances as well as co-occurrence analysis of bacterial taxa and antimicrobial resistance genes (ARGs) and the universality of the latter. The resistomes of veal calves and pigs clustered together, as did those of avian origin, while the rainbow trout resistome was different. Moreover, we identified clear core resistomes for each specific food-producing animal species. We identified positive associations between bacterial alpha diversity and both resistome alpha diversity and abundance. Network analyses revealed very few taxa-ARG associations in pigs but a large number for the avian species. Using updated reference databases and optimized bioinformatics, previously reported significant associations between AMU, biosecurity, and AMR in pig and poultry farms were validated. AMU is an important driver for AMR; however, our integrated analyses suggest that factors contributing to increased bacterial diversity might also be associated with higher AMR load. We also found that dispersal limitations of ARGs are shaping livestock resistomes, and future efforts to fight AMR should continue to emphasize biosecurity measures.IMPORTANCEUnderstanding the occurrence, diversity, and drivers for antimicrobial resistance (AMR) is important to focus future control efforts. So far, almost all attempts to limit AMR in livestock have addressed antimicrobial consumption. We here performed an integrated analysis of the resistomes of five important farmed animal populations across Europe finding that the resistome and AMR levels are also shaped by factors related to bacterial diversity, as well as dispersal limitations. Thus, future studies and interventions aimed at reducing AMR should not only address antimicrobial usage but also consider other epidemiological and ecological factors.</description><identifier>ISSN: 2379-5077</identifier><identifier>EISSN: 2379-5077</identifier><identifier>DOI: 10.1128/msystems.01328-23</identifier><identifier>PMID: 38501800</identifier><language>eng</language><publisher>United States: American Society for Microbiology</publisher><subject>Animals ; Anti-Infective Agents - pharmacology ; Antimicrobial agents ; Antimicrobial resistance ; Bacteria ; Bacteria - genetics ; Bioinformatics ; Biosecurity ; Cattle ; Chickens - microbiology ; Comparative analysis ; diversity ; Drug resistance ; Drug Resistance, Bacterial - genetics ; Epidemiology ; Farm management ; Feces ; Genomes ; Hogs ; Life Sciences ; Livestock ; Metagenomics ; Microbial Ecology ; Oncorhynchus mykiss ; Poultry farming ; Research Article ; resistome ; Swine ; Trout ; Veal</subject><ispartof>mSystems, 2024-04, Vol.9 (4), p.e0132823-e0132823</ispartof><rights>Copyright © 2024 Munk et al.</rights><rights>Copyright © 2024 Munk et al. This work is published under https://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><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><rights>Copyright © 2024 Munk et al. 2024 Munk et al.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-a519t-3f7c0bf0a638c03929186cd5ed3bb6492761f383acbc3e85ab385e3ec973653a3</cites><orcidid>0000-0002-6586-717X ; 0000-0002-7116-2723 ; 0000-0002-8197-7520 ; 0000-0002-5074-7183 ; 0000-0001-8813-4019</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3051439236/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3051439236?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,3186,25751,27922,27923,37010,37011,44588,52749,52750,52751,53789,53791,74896</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38501800$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-04879771$$DView record in HAL$$Hfree_for_read</backlink></links><search><contributor>Gambino, Michela</contributor><creatorcontrib>Munk, Patrick</creatorcontrib><creatorcontrib>Yang, Dongsheng</creatorcontrib><creatorcontrib>Röder, Timo</creatorcontrib><creatorcontrib>Maier, Leonie</creatorcontrib><creatorcontrib>Petersen, Thomas Nordahl</creatorcontrib><creatorcontrib>Duarte, Ana Sofia Ribeiro</creatorcontrib><creatorcontrib>Clausen, Philip T L C</creatorcontrib><creatorcontrib>Brinch, Christian</creatorcontrib><creatorcontrib>Van Gompel, Liese</creatorcontrib><creatorcontrib>Luiken, Roosmarijn</creatorcontrib><creatorcontrib>Wagenaar, Jaap A</creatorcontrib><creatorcontrib>Schmitt, Heike</creatorcontrib><creatorcontrib>Heederik, Dick J J</creatorcontrib><creatorcontrib>Mevius, Dik J</creatorcontrib><creatorcontrib>Smit, Lidwien A M</creatorcontrib><creatorcontrib>Bossers, Alex</creatorcontrib><creatorcontrib>Aarestrup, Frank M</creatorcontrib><creatorcontrib>EFFORT Consortium</creatorcontrib><creatorcontrib>EFFORT Consortium</creatorcontrib><title>The European livestock resistome</title><title>mSystems</title><addtitle>mSystems</addtitle><addtitle>mSystems</addtitle><description>Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the effects of per-farm management practices and antimicrobial usage (AMU) on the resistome in pigs, broilers, and veal calves. We also provide an in-depth study of the associations between bacterial diversity, resistome diversity, and AMR abundances as well as co-occurrence analysis of bacterial taxa and antimicrobial resistance genes (ARGs) and the universality of the latter. The resistomes of veal calves and pigs clustered together, as did those of avian origin, while the rainbow trout resistome was different. Moreover, we identified clear core resistomes for each specific food-producing animal species. We identified positive associations between bacterial alpha diversity and both resistome alpha diversity and abundance. Network analyses revealed very few taxa-ARG associations in pigs but a large number for the avian species. Using updated reference databases and optimized bioinformatics, previously reported significant associations between AMU, biosecurity, and AMR in pig and poultry farms were validated. AMU is an important driver for AMR; however, our integrated analyses suggest that factors contributing to increased bacterial diversity might also be associated with higher AMR load. We also found that dispersal limitations of ARGs are shaping livestock resistomes, and future efforts to fight AMR should continue to emphasize biosecurity measures.IMPORTANCEUnderstanding the occurrence, diversity, and drivers for antimicrobial resistance (AMR) is important to focus future control efforts. So far, almost all attempts to limit AMR in livestock have addressed antimicrobial consumption. We here performed an integrated analysis of the resistomes of five important farmed animal populations across Europe finding that the resistome and AMR levels are also shaped by factors related to bacterial diversity, as well as dispersal limitations. Thus, future studies and interventions aimed at reducing AMR should not only address antimicrobial usage but also consider other epidemiological and ecological factors.</description><subject>Animals</subject><subject>Anti-Infective Agents - pharmacology</subject><subject>Antimicrobial agents</subject><subject>Antimicrobial resistance</subject><subject>Bacteria</subject><subject>Bacteria - genetics</subject><subject>Bioinformatics</subject><subject>Biosecurity</subject><subject>Cattle</subject><subject>Chickens - microbiology</subject><subject>Comparative analysis</subject><subject>diversity</subject><subject>Drug resistance</subject><subject>Drug Resistance, Bacterial - genetics</subject><subject>Epidemiology</subject><subject>Farm management</subject><subject>Feces</subject><subject>Genomes</subject><subject>Hogs</subject><subject>Life Sciences</subject><subject>Livestock</subject><subject>Metagenomics</subject><subject>Microbial Ecology</subject><subject>Oncorhynchus mykiss</subject><subject>Poultry farming</subject><subject>Research Article</subject><subject>resistome</subject><subject>Swine</subject><subject>Trout</subject><subject>Veal</subject><issn>2379-5077</issn><issn>2379-5077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNp9kkFv1DAQhS0EotXSH8AFrcQFDlk8niS2T6iqCq20Epdythxn0s2SxIudrNR_X--mLW0PnDyy3_tm9MaMfQS-AhDqWx_v4kh9XHFAoTKBb9ipQKmzgkv59ll9ws5i3HLOoUQJQr9nJ6gKDorzU7a82dDycgp-R3ZYdu2e4ujdn2Wg2Kaqpw_sXWO7SGcP54L9_nF5c3GVrX_9vL44X2e2AD1m2EjHq4bbEpXjqIUGVbq6oBqrqsy1kCU0qNC6yiGpwlZpBkJyWmJZoMUFu565tbdbswttb8Od8bY1xwsfbo0NY-s6MsppynORyAS5ItRWlVYj1XVTlqQpsb7PrN1U9VQ7GsZguxfQly9DuzG3fm8AOGglIRG-zoTNK9_V-doc7niupJYS9gftl4duwf-dUn6mb6OjrrMD-SkaoUulBaZgkvTzK-nWT2FIuRrkBeR41C0YzCoXfIyBmqcJgJvD7s3j7s1x90Zg8qxmj429-Ef9n-HT84yeWjx-DbwHcMK5lQ</recordid><startdate>20240416</startdate><enddate>20240416</enddate><creator>Munk, Patrick</creator><creator>Yang, Dongsheng</creator><creator>Röder, Timo</creator><creator>Maier, Leonie</creator><creator>Petersen, Thomas Nordahl</creator><creator>Duarte, Ana Sofia Ribeiro</creator><creator>Clausen, Philip T L C</creator><creator>Brinch, Christian</creator><creator>Van Gompel, Liese</creator><creator>Luiken, Roosmarijn</creator><creator>Wagenaar, Jaap A</creator><creator>Schmitt, Heike</creator><creator>Heederik, Dick J J</creator><creator>Mevius, Dik J</creator><creator>Smit, Lidwien A M</creator><creator>Bossers, Alex</creator><creator>Aarestrup, Frank M</creator><general>American Society for Microbiology</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</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>M7P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>1XC</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-6586-717X</orcidid><orcidid>https://orcid.org/0000-0002-7116-2723</orcidid><orcidid>https://orcid.org/0000-0002-8197-7520</orcidid><orcidid>https://orcid.org/0000-0002-5074-7183</orcidid><orcidid>https://orcid.org/0000-0001-8813-4019</orcidid></search><sort><creationdate>20240416</creationdate><title>The European livestock resistome</title><author>Munk, Patrick ; Yang, Dongsheng ; Röder, Timo ; Maier, Leonie ; Petersen, Thomas Nordahl ; Duarte, Ana Sofia Ribeiro ; Clausen, Philip T L C ; Brinch, Christian ; Van Gompel, Liese ; Luiken, Roosmarijn ; Wagenaar, Jaap A ; Schmitt, Heike ; Heederik, Dick J J ; Mevius, Dik J ; Smit, Lidwien A M ; Bossers, Alex ; Aarestrup, Frank M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a519t-3f7c0bf0a638c03929186cd5ed3bb6492761f383acbc3e85ab385e3ec973653a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Animals</topic><topic>Anti-Infective Agents - pharmacology</topic><topic>Antimicrobial agents</topic><topic>Antimicrobial resistance</topic><topic>Bacteria</topic><topic>Bacteria - genetics</topic><topic>Bioinformatics</topic><topic>Biosecurity</topic><topic>Cattle</topic><topic>Chickens - microbiology</topic><topic>Comparative analysis</topic><topic>diversity</topic><topic>Drug resistance</topic><topic>Drug Resistance, Bacterial - genetics</topic><topic>Epidemiology</topic><topic>Farm management</topic><topic>Feces</topic><topic>Genomes</topic><topic>Hogs</topic><topic>Life Sciences</topic><topic>Livestock</topic><topic>Metagenomics</topic><topic>Microbial Ecology</topic><topic>Oncorhynchus mykiss</topic><topic>Poultry farming</topic><topic>Research Article</topic><topic>resistome</topic><topic>Swine</topic><topic>Trout</topic><topic>Veal</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Munk, Patrick</creatorcontrib><creatorcontrib>Yang, Dongsheng</creatorcontrib><creatorcontrib>Röder, Timo</creatorcontrib><creatorcontrib>Maier, Leonie</creatorcontrib><creatorcontrib>Petersen, Thomas Nordahl</creatorcontrib><creatorcontrib>Duarte, Ana Sofia Ribeiro</creatorcontrib><creatorcontrib>Clausen, Philip T L C</creatorcontrib><creatorcontrib>Brinch, Christian</creatorcontrib><creatorcontrib>Van Gompel, Liese</creatorcontrib><creatorcontrib>Luiken, Roosmarijn</creatorcontrib><creatorcontrib>Wagenaar, Jaap A</creatorcontrib><creatorcontrib>Schmitt, Heike</creatorcontrib><creatorcontrib>Heederik, Dick J J</creatorcontrib><creatorcontrib>Mevius, Dik J</creatorcontrib><creatorcontrib>Smit, Lidwien A M</creatorcontrib><creatorcontrib>Bossers, Alex</creatorcontrib><creatorcontrib>Aarestrup, Frank M</creatorcontrib><creatorcontrib>EFFORT Consortium</creatorcontrib><creatorcontrib>EFFORT Consortium</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Biological Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>mSystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Munk, Patrick</au><au>Yang, Dongsheng</au><au>Röder, Timo</au><au>Maier, Leonie</au><au>Petersen, Thomas Nordahl</au><au>Duarte, Ana Sofia Ribeiro</au><au>Clausen, Philip T L C</au><au>Brinch, Christian</au><au>Van Gompel, Liese</au><au>Luiken, Roosmarijn</au><au>Wagenaar, Jaap A</au><au>Schmitt, Heike</au><au>Heederik, Dick J J</au><au>Mevius, Dik J</au><au>Smit, Lidwien A M</au><au>Bossers, Alex</au><au>Aarestrup, Frank M</au><au>Gambino, Michela</au><aucorp>EFFORT Consortium</aucorp><aucorp>EFFORT Consortium</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The European livestock resistome</atitle><jtitle>mSystems</jtitle><stitle>mSystems</stitle><addtitle>mSystems</addtitle><date>2024-04-16</date><risdate>2024</risdate><volume>9</volume><issue>4</issue><spage>e0132823</spage><epage>e0132823</epage><pages>e0132823-e0132823</pages><issn>2379-5077</issn><eissn>2379-5077</eissn><abstract>Metagenomic sequencing has proven to be a powerful tool in the monitoring of antimicrobial resistance (AMR). Here, we provide a comparative analysis of the resistome from pigs, poultry, veal calves, turkey, and rainbow trout, for a total of 538 herds across nine European countries. We calculated the effects of per-farm management practices and antimicrobial usage (AMU) on the resistome in pigs, broilers, and veal calves. We also provide an in-depth study of the associations between bacterial diversity, resistome diversity, and AMR abundances as well as co-occurrence analysis of bacterial taxa and antimicrobial resistance genes (ARGs) and the universality of the latter. The resistomes of veal calves and pigs clustered together, as did those of avian origin, while the rainbow trout resistome was different. Moreover, we identified clear core resistomes for each specific food-producing animal species. We identified positive associations between bacterial alpha diversity and both resistome alpha diversity and abundance. Network analyses revealed very few taxa-ARG associations in pigs but a large number for the avian species. Using updated reference databases and optimized bioinformatics, previously reported significant associations between AMU, biosecurity, and AMR in pig and poultry farms were validated. AMU is an important driver for AMR; however, our integrated analyses suggest that factors contributing to increased bacterial diversity might also be associated with higher AMR load. We also found that dispersal limitations of ARGs are shaping livestock resistomes, and future efforts to fight AMR should continue to emphasize biosecurity measures.IMPORTANCEUnderstanding the occurrence, diversity, and drivers for antimicrobial resistance (AMR) is important to focus future control efforts. So far, almost all attempts to limit AMR in livestock have addressed antimicrobial consumption. We here performed an integrated analysis of the resistomes of five important farmed animal populations across Europe finding that the resistome and AMR levels are also shaped by factors related to bacterial diversity, as well as dispersal limitations. Thus, future studies and interventions aimed at reducing AMR should not only address antimicrobial usage but also consider other epidemiological and ecological factors.</abstract><cop>United States</cop><pub>American Society for Microbiology</pub><pmid>38501800</pmid><doi>10.1128/msystems.01328-23</doi><tpages>20</tpages><orcidid>https://orcid.org/0000-0002-6586-717X</orcidid><orcidid>https://orcid.org/0000-0002-7116-2723</orcidid><orcidid>https://orcid.org/0000-0002-8197-7520</orcidid><orcidid>https://orcid.org/0000-0002-5074-7183</orcidid><orcidid>https://orcid.org/0000-0001-8813-4019</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Animals Anti-Infective Agents - pharmacology Antimicrobial agents Antimicrobial resistance Bacteria Bacteria - genetics Bioinformatics Biosecurity Cattle Chickens - microbiology Comparative analysis diversity Drug resistance Drug Resistance, Bacterial - genetics Epidemiology Farm management Feces Genomes Hogs Life Sciences Livestock Metagenomics Microbial Ecology Oncorhynchus mykiss Poultry farming Research Article resistome Swine Trout Veal |
title | The European livestock resistome |
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