We used a data mining approach powered by machine learning to analyse microbiomes from chickens, carcasses and environments, collected from farms and abattoirs in three Chinese provinces. The resulting network of correlations between livestock, environments, microbial communities and antimicrobial resistance suggests multiple routes for improving antimicrobial resistance surveillance in livestock production.
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References
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This is a summary of: Baker, M. et al. Machine learning and metagenomics reveal shared antimicrobial resistance profiles across multiple chicken farms and abattoirs in China. Nat. Food https://doi.org/10.1038/s43016-023-00814-w (2023).
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Improving antimicrobial resistance surveillance in livestock production. Nat Food 4, 646–647 (2023). https://doi.org/10.1038/s43016-023-00835-5
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DOI: https://doi.org/10.1038/s43016-023-00835-5
