Distribution Pattern and Influencing Factors of Heavy Metal Resistance Genes in the Yellow River Sediments of Henan Section

Kai Zhang (), Kuangjia Li, Minghui Tong, Yangchun Xia, Yongxin Cui, Ziyi Liu, Qi Chen, Qidi Li, Feiyue Hu and Fengxia Yang ()
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Kai Zhang: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Kuangjia Li: Development Research Center, Ministry of Water Resources of People’s Republic of China, Beijing 100032, China
Minghui Tong: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Yangchun Xia: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Yongxin Cui: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Ziyi Liu: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Qi Chen: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Qidi Li: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Feiyue Hu: School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China
Fengxia Yang: Agro-Environmental Protection Institute, Ministry of Agriculture and Rural Affairs, Tianjin 300191, China

IJERPH, 2022, vol. 19, issue 17, 1-11

Abstract: The transformation of heavy metal resistance genes (MRGs) in the environment has attracted increasing attention in recent years. However, few studies have reported the MRG content in the Yellow River, one of the main irrigation water sources in the North China Plain. In this study, we quantified MRG abundance by a metagenomic approach, and assessed the influence on MRGs of both bioavailable and total heavy metal (HM) content. The results indicate that Cu-resistant genes are the most common genes, and the prevalence of ars M needs more attention. Comamonadaceae is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of Vicinamibacteraceae , Nocardioidaceae , and Flavobacteriacea . The results of the Mantel test and Spearman analysis indicate that both the bioavailable fractions and total content of HMs could have little influence on MRGs. Network analysis results indicate that some dominant bacteria could be the potential hosts of some prevalent MRGs, which may exert an adverse impact on human health.

Keywords: heavy metal resistance genes; Yellow River; bioavailable; sediment; potential hosts (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2022
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