2019
DOI: 10.1093/jac/dky518
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The antimicrobial resistome in relation to antimicrobial use and biosecurity in pig farming, a metagenome-wide association study in nine European countries

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Cited by 64 publications
(76 citation statements)
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“…Furthermore, we anticipated that AMR gene abundance would be inversely related to faecal microbiome diversity. Whilst large cross-sectional studies have been instrumental in furthering our understanding of AMR gene abundance and diversity across different livestock systems 12,21,35 , they have not provided the granularity of data and medicines usage history required to test these hypotheses. For this reason, we chose to undertake a longitudinal dissection of a single commercial pig unit, which included three group in-feed antibiotic treatment regimens and a partial depopulation event.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Furthermore, we anticipated that AMR gene abundance would be inversely related to faecal microbiome diversity. Whilst large cross-sectional studies have been instrumental in furthering our understanding of AMR gene abundance and diversity across different livestock systems 12,21,35 , they have not provided the granularity of data and medicines usage history required to test these hypotheses. For this reason, we chose to undertake a longitudinal dissection of a single commercial pig unit, which included three group in-feed antibiotic treatment regimens and a partial depopulation event.…”
Section: Discussionmentioning
confidence: 99%
“…A previous cross-sectional study highlighted that only 10-42% of the variation in AMR gene levels could be explained by factors included in statistical models (including lifetime antimicrobial exposure), suggesting that AMR gene levels are strongly influenced by a variety of other elements 43 . Whilst these could be related to feed changes, the fact that the dry sows and young pigs were housed differently and fed different diets 44 would suggest that this effect is due to some other factors affecting the entire farm, such as housing and management 35,45,46 , environmental conditions 46 or the introduction of an infectious agent.…”
Section: Changes In Amr Gene Abundances Were Not Associated With Antimentioning
confidence: 99%
“…In general, under field conditions, in livestock, the association between AMU and AMR is difficult to assess because additional factors such as vaccination, feed supplements, hygiene conditions and management characteristics also have an impact [11]. In a European study, farm-specific faecal antimicrobial resistomes defined in a metagenomic approach revealed a clear association between usage of tetracyclines and macrolides with the respective resistance genes, while for other widely used substances, no associations were found [12]. In a longitudinal study on one pig farm, the elimination of E. coli carrying the mobile mcr-1 gene coding for colistin resistance was achieved within a 20-month period after stopping colistin treatment [13].…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, we anticipated that AMR gene abundance would be inversely related to faecal microbiome diversity. Whilst large cross-sectional studies have been instrumental in furthering our understanding of AMR gene abundance and diversity across different livestock systems (13, 25, 62), they have not provided the granularity of data and medicines usage history required to test these hypotheses. For this reason, we chose to undertake a prolonged period of intensive sampling on a single large commercial pig unit during three ‘real world’ group in-feed antimicrobial treatment regimens.…”
Section: Discussionmentioning
confidence: 99%
“…A previous cross-sectional study highlighted that only 10-42% of the variation in AMR gene levels could be explained by factors included in statistical models (including lifetime antimicrobial exposure), suggesting that AMR gene levels are strongly influenced by a variety of other elements (16). Whilst these could be related to feed changes, the fact that the sows and piglets were housed differently and fed different diets (66) would suggest that this effect is due to some other factors affecting the entire farm, such as housing and management (62, 67, 68), ambient temperature (68) and/or humidity, changes in water supply or the introduction of an infectious agent.…”
Section: Discussionmentioning
confidence: 99%