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尼日利亚电子废物场重金属和土壤特性对土壤微生物群落的影响。

Impacts of heavy metals and soil properties at a Nigerian e-waste site on soil microbial community.

机构信息

School of Energy and Environmental Engineering, University of Science & Technology Beijing, Beijing, 100083, PR China.

Department of Environmental Management and Toxicology, Federal University of Petroleum Resources, Effurun, Delta State, Nigeria.

出版信息

J Hazard Mater. 2019 Jan 15;362:187-195. doi: 10.1016/j.jhazmat.2018.08.060. Epub 2018 Sep 10.

Abstract

Heavy metal contamination is a serious problem worldwide threatening soil environment and human health. In the present study, concentrations of 6 heavy metals at an electronic waste (e-waste) site in Nigeria were correlated to their mobility, showing distinct distribution pattern between surface soils and subsoils. Proteobacteria, Firmicutes, Acidobacteria and Planctomycetes dominated the indigenous soil microbial communities, and there was significant discrimination of bacterial taxonomic composition between the heavy metal contaminated and uncontaminated areas. The abundance of most bacterial taxa changed with heavy metal contamination level to different extent. The multivariate regression tree (MRT) analyses illustrated that main environmental variables influencing bacterial taxonomic composition included soil texture (31%) and organic carbon (14%), whereas microbial diversity was affected by soil pH (32%) and soil texture (14%). Our results surprisingly indicated that soil properties were more influential in determining soil bacterial composition and diversity than heavy metals even at the e-waste site which was seriously contaminated by heavy metals. The present study contributes to a deeper insight into the key environmental variables shaping the diversity and composition of soil microbes at heavy metal contaminated e-waste sites.

摘要

重金属污染是一个全球性的严重问题,威胁着土壤环境和人类健康。本研究中,尼日利亚一个电子废物(e-waste)场地的 6 种重金属浓度与其迁移性相关,显示出表土和底土之间明显的分布模式。变形菌门、厚壁菌门、酸杆菌门和浮霉菌门主导着本地土壤微生物群落,重金属污染区和无污染区的细菌分类组成存在显著差异。大多数细菌类群的丰度随重金属污染程度的不同而发生不同程度的变化。多元回归树(MRT)分析表明,影响细菌分类组成的主要环境变量包括土壤质地(31%)和有机碳(14%),而土壤 pH 值(32%)和土壤质地(14%)则影响微生物多样性。令人惊讶的是,本研究结果表明,即使在重金属污染严重的电子废物场地,土壤性质对确定土壤细菌组成和多样性的影响也大于重金属。本研究有助于更深入地了解在重金属污染的电子废物场地塑造土壤微生物多样性和组成的关键环境变量。

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