Matches in SemOpenAlex for { <https://semopenalex.org/work/W4316016169> ?p ?o ?g. }
- W4316016169 abstract "Abstract The use of antimicrobials in livestock production is associated with the rise of antimicrobial resistance (AMR). China is the largest consumer of antimicrobials and improving AMR surveillance methods may help inform intervention. Here, we report the surveillance of ten large-scale chicken farms and four connected abattoirs from three Chinese provinces, over 2.5 years. By using a bespoke data-mining approach based on machine learning, we analysed microbiomes and resistomes from birds, carcasses and environments. We found that a core subset of the chicken gut resistome and microbiome, featuring clinically relevant bacteria and antibiotic resistance genes correlates with AMR profiles of Escherichia coli colonizing the gut. This core is itself influenced by environmental temperature and humidity, contains clinically relevant mobile ARGs shared by chickens and environments, and correlates with antimicrobial usage. Our findings indicate a viable route to optimize AMR surveillance in livestock production." @default.
- W4316016169 created "2023-01-14" @default.
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- W4316016169 creator A5088869627 @default.
- W4316016169 date "2023-01-13" @default.
- W4316016169 modified "2023-10-18" @default.
- W4316016169 title "Machine learning and metagenomics enhance surveillance of antimicrobial resistance in chicken production in China" @default.
- W4316016169 cites W1976647939 @default.
- W4316016169 cites W2013871405 @default.
- W4316016169 cites W2026916622 @default.
- W4316016169 cites W2030938248 @default.
- W4316016169 cites W2032183556 @default.
- W4316016169 cites W2033685118 @default.
- W4316016169 cites W2035126508 @default.
- W4316016169 cites W2055043387 @default.
- W4316016169 cites W2075220720 @default.
- W4316016169 cites W2096093282 @default.
- W4316016169 cites W2103441770 @default.
- W4316016169 cites W2108234281 @default.
- W4316016169 cites W2108247474 @default.
- W4316016169 cites W2110835349 @default.
- W4316016169 cites W2113679889 @default.
- W4316016169 cites W2114853012 @default.
- W4316016169 cites W2131026689 @default.
- W4316016169 cites W2134830426 @default.
- W4316016169 cites W2148143831 @default.
- W4316016169 cites W2163250554 @default.
- W4316016169 cites W2170551349 @default.
- W4316016169 cites W2295502830 @default.
- W4316016169 cites W2320767154 @default.
- W4316016169 cites W2498603190 @default.
- W4316016169 cites W2521268641 @default.
- W4316016169 cites W2615010047 @default.
- W4316016169 cites W2748674425 @default.
- W4316016169 cites W2769542288 @default.
- W4316016169 cites W2789764205 @default.
- W4316016169 cites W2801159594 @default.
- W4316016169 cites W2803240885 @default.
- W4316016169 cites W2807308836 @default.
- W4316016169 cites W2884959877 @default.
- W4316016169 cites W2889941397 @default.
- W4316016169 cites W2898786556 @default.
- W4316016169 cites W2921342657 @default.
- W4316016169 cites W2932165618 @default.
- W4316016169 cites W2933483202 @default.
- W4316016169 cites W2938868597 @default.
- W4316016169 cites W2947130330 @default.
- W4316016169 cites W2948167211 @default.
- W4316016169 cites W2952401863 @default.
- W4316016169 cites W2955929196 @default.
- W4316016169 cites W2956942643 @default.
- W4316016169 cites W2965009040 @default.
- W4316016169 cites W2968322804 @default.
- W4316016169 cites W2973432546 @default.
- W4316016169 cites W2977793032 @default.
- W4316016169 cites W2982531601 @default.
- W4316016169 cites W3005235420 @default.
- W4316016169 cites W3007869025 @default.
- W4316016169 cites W3011457913 @default.
- W4316016169 cites W3038194807 @default.
- W4316016169 cites W3103215033 @default.
- W4316016169 cites W3112099681 @default.
- W4316016169 cites W3118853998 @default.
- W4316016169 cites W3126372778 @default.
- W4316016169 cites W3128039816 @default.
- W4316016169 cites W3133862156 @default.
- W4316016169 cites W3135176051 @default.
- W4316016169 cites W3135773079 @default.
- W4316016169 cites W3154851329 @default.
- W4316016169 cites W3156458251 @default.
- W4316016169 cites W3156571552 @default.
- W4316016169 cites W3163970933 @default.
- W4316016169 cites W3164509276 @default.
- W4316016169 cites W3166070247 @default.
- W4316016169 cites W3187959711 @default.
- W4316016169 cites W3190756584 @default.
- W4316016169 cites W3190916927 @default.
- W4316016169 cites W3211102276 @default.
- W4316016169 cites W3212259682 @default.
- W4316016169 cites W3212450750 @default.
- W4316016169 cites W3214438024 @default.
- W4316016169 cites W4200091812 @default.