School of Environmental Science and Engineering, Guangdong Provincial Key Lab for Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510006, China.
School of Environmental Science and Engineering, Guangdong Provincial Key Lab for Environmental Pollution Control and Remediation Technology, Sun Yat-sen University, Guangzhou 510006, China; Guangdong Provincial Engineering Research Center for Heavy Metal Contaminated Soil Remediation, Sun Yat-sen University, Guangzhou 510275, China.
J Hazard Mater. 2023 Feb 5;443(Pt A):130241. doi: 10.1016/j.jhazmat.2022.130241. Epub 2022 Oct 21.
Mining activities in metal mine areas cause serious environmental pollution, thereby imposing stresses to soil ecosystems. Investigating the ecological pattern underlying contaminated soil microbial diversity is essential to understand ecosystem responses to environment changes. Here we collected 624 soil samples from 49 representative metal mines across eastern China and analyzed their soil microbial diversity and biogeographic patterns by using 16 S rRNA gene amplicons. The results showed that deterministic factors dominated in regulating the microbial community in non-contaminated and contaminated soils. Soil pH played a key role in climatic influences on the heavy metal-contaminated soil microbial community. A core microbiome consisting of 25 taxa, which could be employed for the restoration of contaminated soils, was identified. Unlike the non-contaminated soil, stochastic processes were important in shaping the heavy metal-contaminated soil microbial community. The largest source of variations in the soil microbial community was land use type. This result suggests that varied specific ecological remediation strategy ought to be developed for differed land use types. These findings will enhance our understanding of the microbial responses to anthropogenically induced environmental changes and will further help to improve the practices of soil heavy metal contamination remediation.
矿区开采活动造成严重的环境污染,从而对土壤生态系统造成压力。调查受污染土壤微生物多样性的生态模式对于理解生态系统对环境变化的响应至关重要。在这里,我们从中国东部的 49 个有代表性的金属矿区采集了 624 个土壤样本,并通过 16S rRNA 基因扩增子分析了它们的土壤微生物多样性和生物地理格局。结果表明,确定性因素在调节未污染和污染土壤中的微生物群落方面起主导作用。土壤 pH 值在气候对重金属污染土壤微生物群落的影响中起着关键作用。确定了一个由 25 个分类群组成的核心微生物组,可用于污染土壤的修复。与未污染土壤不同,随机过程在塑造重金属污染土壤微生物群落方面很重要。土壤微生物群落变化的最大来源是土地利用类型。这一结果表明,对于不同的土地利用类型,应该制定不同的具体生态修复策略。这些发现将增强我们对微生物对人为引起的环境变化的响应的理解,并进一步有助于改善土壤重金属污染修复的实践。