State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, People's Republic of China.
Environ Sci Pollut Res Int. 2018 Jan;25(1):141-152. doi: 10.1007/s11356-016-8159-y. Epub 2016 Dec 30.
The soils around the world's largest antimony mine have been contaminated by high concentrations of Sb and As, which might influence microbial diversity in the surrounding soils. The ecological effects of bioavailable Sb and As on the composition and diversity of microbial community in soils remain unknown. In this study, the relative abundance, taxonomic diversity and composition of bacterial community in soils from a typical Sb mine area, and the relationship between the bacterial community and bioavailable concentrations as well as environmental factors have been investigated comprehensively using high-throughput sequencing (HTS) and diffusive gradients in thin films (DGT). The results indicated that Proteobacteria, Acidobacteria, Chloroflexi, Bacteroidetes, Actinobacteria, Gemmatimonadetes, and Cyanobacteria were the dominant bacterial populations at phylum level in all soil samples, accounting for more than 80% of the bacteria sequenced. The abundance and diversity of bacterial community vary along a metal contamination gradient. Redundancy discriminate analysis (RDA) revealed that 74.74% of bacterial community variation in the contaminated soils was explained by six environmental factors (pH, Sb, As, potential ecological risk index (RI), TC, TN), among which pH, Sb, and As were dominant factors influencing the composition and diversity of bacteria. This study contributes to our understanding of microbial diversity in a local ecosystem and introduces the option of studying bioavailable Sb and As using DGT.
全球最大锑矿周围的土壤受到 Sb 和 As 的高浓度污染，这可能会影响周围土壤中的微生物多样性。生物可利用 Sb 和 As 对土壤微生物群落组成和多样性的生态影响尚不清楚。本研究采用高通量测序（HTS）和薄膜扩散梯度技术（DGT），全面研究了典型锑矿区土壤中细菌群落的相对丰度、分类多样性和组成，以及细菌群落与生物可利用浓度以及环境因素之间的关系。结果表明，在所有土壤样品中，变形菌门、酸杆菌门、绿弯菌门、拟杆菌门、放线菌门、芽单胞菌门和蓝细菌门是优势细菌门，占测序细菌的 80%以上。细菌群落的丰度和多样性沿金属污染梯度变化。冗余判别分析（RDA）表明，污染土壤中 74.74%的细菌群落变化由 6 个环境因素（pH 值、Sb、As、潜在生态风险指数（RI）、TC、TN）解释，其中 pH 值、Sb 和 As 是影响细菌组成和多样性的主要因素。本研究有助于我们了解局部生态系统中的微生物多样性，并介绍了使用 DGT 研究生物可利用 Sb 和 As 的选择。
