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河南黄河段沉积物中重金属抗性基因的分布模式及影响因素

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

机构信息

School of Geographic Sciences, Xinyang Normal University, Xinyang 464000, China.

Henan Key Laboratory for Synergistic Prevention of Water and Soil Environmental Pollution, Xinyang Normal University, Xinyang 464000, China.

出版信息

Int J Environ Res Public Health. 2022 Aug 28;19(17):10724. doi: 10.3390/ijerph191710724.

DOI:10.3390/ijerph191710724
PMID:36078440
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9517883/
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 M needs more attention. is the dominant family in the Yellow River, and the presence of organic pollutants may contribute to the prevalence of , , and . 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.

摘要

近年来,环境中重金属抗性基因(MRGs)的转化引起了越来越多的关注。然而,很少有研究报道华北平原主要灌溉水源之一的黄河中的 MRG 含量。在本研究中,我们通过宏基因组学方法定量了 MRG 丰度,并评估了生物可利用态和总重金属(HM)含量对 MRGs 的影响。结果表明,铜抗性基因是最常见的基因,而 M 的流行需要更多关注。是黄河中的主要家族,有机污染物的存在可能导致 、 和 的流行。Mantel 检验和 Spearman 分析的结果表明,生物可利用态和总 HM 含量对 MRGs 的影响都很小。网络分析结果表明,一些优势细菌可能是一些流行的 MRGs 的潜在宿主,这可能对人类健康产生不利影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/ead3cf9b9fcc/ijerph-19-10724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/834ae3d50ddd/ijerph-19-10724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/e95399c9e503/ijerph-19-10724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/04f54f6f21cb/ijerph-19-10724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/47981c7b4d1b/ijerph-19-10724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/ead3cf9b9fcc/ijerph-19-10724-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/834ae3d50ddd/ijerph-19-10724-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/e95399c9e503/ijerph-19-10724-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/04f54f6f21cb/ijerph-19-10724-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/47981c7b4d1b/ijerph-19-10724-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dcf7/9517883/ead3cf9b9fcc/ijerph-19-10724-g005.jpg

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