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微生物如何揭示环境中潜在有毒元素污染的真相。

How microorganisms tell the truth of potentially toxic elements pollution in environment.

机构信息

School of Life Sciences, Anhui Agricultural University, Hefei, Anhui Province, China; School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui Province 230601, China.

School of Resources and Environmental Engineering, Anhui University, Hefei, Anhui Province 230601, China.

出版信息

J Hazard Mater. 2022 Jun 5;431:128456. doi: 10.1016/j.jhazmat.2022.128456. Epub 2022 Feb 11.

DOI:10.1016/j.jhazmat.2022.128456
PMID:35219059
Abstract

Potentially toxic elements (PTEs) posed a major hazard to microbial community in river sediments, but the way how different kinds of microorganisms responses to elements pollution has not been clearly understood. The target of this research was to discriminate the apposite indicators for diagnosing elements pollution based on the sensitivity of microbial abundance, biodiversity, predicted metabolic functions to PTEs (Cu, Cd, Cr, Ni, Pb, Zn, As and Hg). Considering Huaihe River Basin as the main subject, sediment samples were gathered from 135 sites. Ni, Zn and Cd significantly influenced the microbial communities and predicted functions. In general, the microbial sensitivity to PTEs was bacteria > archaea. Geo-accumulation index and potential ecological risk (PER) index suggested Hg and Cd were the significant contaminates and posed the most serious ecological risk in sediments. Structural Equation Model identified the bioindicators 1/nitrate reduction and rara taxa (Azoarcus) as reflect and speculate Hg and Cd pollution, respectively. PER was predicted by 1/nitrate reduction and rare taxa (Phaeodactylibacter and Illumatobacter). Results elucidated the rather role of rare taxa in indicating PTEs pollution. The findings contributed to provide useful reference for bioremediation of contaminated sediments under PTEs stress.

摘要

潜在有毒元素 (PTEs) 对河流沉积物中的微生物群落构成了重大威胁,但不同种类的微生物对元素污染的反应方式仍不清楚。本研究的目的是基于微生物丰度、生物多样性和对 PTEs(Cu、Cd、Cr、Ni、Pb、Zn、As 和 Hg)的预测代谢功能的敏感性,确定用于诊断元素污染的适当指标。考虑到淮河流域作为主要研究对象,从 135 个地点采集了沉积物样本。Ni、Zn 和 Cd 显著影响了微生物群落和预测功能。总的来说,微生物对 PTEs 的敏感性为细菌>古菌。地质累积指数和潜在生态风险 (PER) 指数表明,Hg 和 Cd 是主要污染物,在沉积物中造成最严重的生态风险。结构方程模型确定了生物指标 1/硝酸盐还原和稀有分类群(Azoarcus)分别反映和推测 Hg 和 Cd 污染。PER 由 1/硝酸盐还原和稀有分类群(Phaeodactylibacter 和 Illumatobacter)预测。研究结果阐明了稀有分类群在指示 PTEs 污染方面的重要作用。这些发现为 PTEs 胁迫下受污染沉积物的生物修复提供了有用的参考。

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