@article {SU2024119861,
	title = {Metagenomic insights into resistome, mobilome and virulome in different fecal waste},
	journal = {Environmental Research},
	volume = {262},
	year = {2024},
	pages = {119861},
	abstract = {Fecal waste is a significant source of antimicrobial resistance (AMR) pollution and provides valuable insights into the AMR development in animal and human populations within the {\textquotedblleft}One health{\textquotedblright} framework. Various genetic elements, including antibiotic resistance genes (ARGs), biocide and metal resistance genes (BMGs), mobile genetic elements (MGEs), and virulence factor genes (VFGs), are crucial AMR risk determinants (ARDs). However, few studies focused on compositional characteristics of ARDs in different feces. Here, we analyzed 753 public metagenomes from human, pig, chicken, and cattle feces, revealing significant differences in ARD richness and abundance across fecal types, notably lowest in cattle samples. Tetracycline, multi-metal, and -biocide resistance genes were dominant resistome. A few core genes contributed to 25.6\%{\textendash}91.1\% of gene abundance, and their correlations were stronger in cattle samples. Procrustes analysis showed that microbial composition had higher correlations with ARGs (M2~=~0.579) and BMGs (M2~=~0.519). Gammaproteobacteria was identified as major ARD-hosts especially in human and pig feces, and they mainly carried multi-resistance genes. MGEs exhibited direct positive effects on ARGs and BMGs, indirectly impacting VFGs. Utilizing random forest methods, we identified 42 indicator genes for tracking AMR pollution originating from fecal sources in the environments. This study offers new insights into understanding and controlling the AMR pollution of fecal waste from human and food animals.},
	keywords = {Antimicrobial resistance (AMR), feces, Indicator genes, Metagenomics, Microbial community},
	issn = {0013-9351},
	doi = {https://doi.org/10.1016/j.envres.2024.119861},
	url = {https://www.sciencedirect.com/science/article/pii/S0013935124017663},
	author = {Su, Zhiguo and Cui, Saishi and Wen, Donghui and Lyujun Chen}
}
