Whole-genome sequencing and gene sharing network analysis powered by machine learning identifies antibiotic resistance sharing between animals, humans and environment in livestock farming

Anthropogenic environments such as those created by intensive farming of livestock, have been proposed to provide ideal selection pressure for the emergence of antimicrobial-resistant Escherichia coli bacteria and antimicrobial resistance genes (ARGs) and spread to humans. Here, we performed a longi...

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Detalles Bibliográficos
Autores principales: Peng, Zixin, Maciel-Guerra, Alexandre, Baker, Michelle, Zhang, Xibin, Hu, Yue, Wang, Wei, Rong, Jia, Zhang, Jing, Xue, Ning, Barrow, Paul, Renney, David, Stekel, Dov, Williams, Paul, Liu, Longhai, Chen, Junshi, Li, Fengqin, Dottorini, Tania
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986120/
https://www.ncbi.nlm.nih.gov/pubmed/35333870
http://dx.doi.org/10.1371/journal.pcbi.1010018

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8986120/
https://www.ncbi.nlm.nih.gov/pubmed/35333870
http://dx.doi.org/10.1371/journal.pcbi.1010018

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