TY - JOUR
T1 - Convergence of resistance and evolutionary responses in Escherichia coli and Salmonella enterica co-inhabiting chicken farms in China
AU - Baker, Michelle
AU - Zhang, Xibin
AU - Maciel-Guerra, Alexandre
AU - Babaarslan, Kubra
AU - Dong, Yinping
AU - Wang, Wei
AU - Hu, Yujie
AU - Renney, David
AU - Liu, Longhai
AU - Li, Hui
AU - Hossain, Maqsud
AU - Heeb, Stephan
AU - Tong, Zhiqin
AU - Pearcy, Nicole
AU - Zhang, Meimei
AU - Geng, Yingzhi
AU - Zhao, Li
AU - Hao, Zhihui
AU - Senin, Nicola
AU - Chen, Junshi
AU - Peng, Zixin
AU - Li, Fengqin
AU - Dottorini, Tania
N1 - Publisher Copyright:
© 2024, The Author(s).
PY - 2024/12
Y1 - 2024/12
N2 - Sharing of genetic elements among different pathogens and commensals inhabiting same hosts and environments has significant implications for antimicrobial resistance (AMR), especially in settings with high antimicrobial exposure. We analysed 661 Escherichia coli and Salmonella enterica isolates collected within and across hosts and environments, in 10 Chinese chicken farms over 2.5 years using data-mining methods. Most isolates within same hosts possessed the same clinically relevant AMR-carrying mobile genetic elements (plasmids: 70.6%, transposons: 78%), which also showed recent common evolution. Supervised machine learning classifiers revealed known and novel AMR-associated mutations and genes underlying resistance to 28 antimicrobials, primarily associated with resistance in E. coli and susceptibility in S. enterica. Many were essential and affected same metabolic processes in both species, albeit with varying degrees of phylogenetic penetration. Multi-modal strategies are crucial to investigate the interplay of mobilome, resistance and metabolism in cohabiting bacteria, especially in ecological settings where community-driven resistance selection occurs.
AB - Sharing of genetic elements among different pathogens and commensals inhabiting same hosts and environments has significant implications for antimicrobial resistance (AMR), especially in settings with high antimicrobial exposure. We analysed 661 Escherichia coli and Salmonella enterica isolates collected within and across hosts and environments, in 10 Chinese chicken farms over 2.5 years using data-mining methods. Most isolates within same hosts possessed the same clinically relevant AMR-carrying mobile genetic elements (plasmids: 70.6%, transposons: 78%), which also showed recent common evolution. Supervised machine learning classifiers revealed known and novel AMR-associated mutations and genes underlying resistance to 28 antimicrobials, primarily associated with resistance in E. coli and susceptibility in S. enterica. Many were essential and affected same metabolic processes in both species, albeit with varying degrees of phylogenetic penetration. Multi-modal strategies are crucial to investigate the interplay of mobilome, resistance and metabolism in cohabiting bacteria, especially in ecological settings where community-driven resistance selection occurs.
UR - http://www.scopus.com/inward/record.url?scp=85181453590&partnerID=8YFLogxK
U2 - 10.1038/s41467-023-44272-1
DO - 10.1038/s41467-023-44272-1
M3 - Article
C2 - 38182559
AN - SCOPUS:85181453590
SN - 2041-1723
VL - 15
JO - Nature Communications
JF - Nature Communications
IS - 1
M1 - 206
ER -