Dispersal of antibiotic resistance genes in an agricultural influenced multi-branch river network

Abstract

Rivers in agricultural regions serve as an important sink for livestock and poultry farm runoff, fertilizer runoff, and country living sewage, which could bring antibiotic resistance genes (ARGs) contaminations. However, the diversity and distribution of ARGs has not been well documented in the agricultural influenced river. Here, the diversity of ARGs, and their relationship with biochemical factors were determined in the surface water in an agricultural region of the Jialing River and its five rural branches. The 218 unique ARGs encoding resistance to eight major antibiotic classes have been detected using high-throughput quantitative PCR. The branches of the river had a remarkably higher abundance of ARGs than the mainstream. The aminoglycoside, beta_Lactamase, MLSB, and Multidrug resistance genes were significantly enriched in the branches compared to the mainstream. Compared with the mainstream, the ARGs profiles in the branches showed obvious higher spatial variability. Significant correlation between ARGs profiles and bacterial community structures were observed, and network analysis further showed that the ARGs were associated with their potential hosts, such as Ottowia and Novosphingobium. Redundancy discrimination analysis revealed that Cu content has a significant contribution to the increase of ARGs in the river. The microbial diversity index was negatively correlated with the abundance of the ARGs. These results provide evidence for the enrichment of ARGs in the agricultural influenced river and branches due to the joint influence of chemical and microbial variables.