School of Environmental and Safety Engineering, Changzhou University, Changzhou 213164, China.
Department of Civil Engineering and Architecture, Saga University, Saga 8408502, Japan.
Int J Environ Res Public Health. 2020 Aug 6;17(16):5680. doi: 10.3390/ijerph17165680.
The objectives of this study were to understand the characteristics of heavy metal pollution caused by mining activities on the two sides of the Shun'an river and the response of soil microorganisms to the habitats by different contamination levels and vegetation. This paper selected soil samples from the banks of the Shun'an River near the Shizishan mining area, which is at the left of the river, in Tongling, Anhui Province, China. Using Illumina MiSeq 2500 technology, we analyzed the relationship between environmental factors and microbial communities. As the distance from the mining area increased, the heavy metal comprehensive pollution and potential risk value decreased. Additionally, the pollution severity and risk value of the left bank, where the mining area lies, were generally higher than those of the right bank. Because the symmetric sampling points on both banks of the river had similar planting types, their environmental factors and microbial community structure were similar and clustered. However, under different vegetation, the paddy soils tended to have a higher nutrient content and community richness and diversity than the vegetable fields or the abandoned land. It was found that soil microbial communities in this area were mostly affected by pH and Nemerow pollution index (P). The pH significantly affected the abundance and structure of most microorganisms. In addition, Proteobacteria, Acidobacteria, and Bacteroidetes had significant tolerance to Zn, Pb, and Cd. By exploring the potential use of these tolerant microorganisms, we seek to provide strains and the theoretical basis for the bioremediation of areas contaminated by heavy metal.
本研究的目的是了解顺安河两岸因采矿活动造成的重金属污染特征,以及土壤微生物对不同污染水平和植被栖息地的响应。本文选取了中国安徽省铜陵市狮子山矿区附近顺安河两岸的土壤样本。利用 Illumina MiSeq 2500 技术,分析了环境因子与微生物群落之间的关系。随着距矿区距离的增加,重金属综合污染和潜在风险值降低。此外,矿区所在的左岸的污染严重程度和风险值普遍高于右岸。由于河流两岸的对称采样点具有相似的种植类型,它们的环境因子和微生物群落结构相似并聚类。然而,在不同的植被下,稻田土壤的养分含量、群落丰富度和多样性往往高于菜地或荒地。结果表明,该地区的土壤微生物群落主要受 pH 值和内梅罗污染指数(Nemero 污染指数)(P)的影响。pH 值显著影响大多数微生物的丰度和结构。此外,变形菌门、酸杆菌门和拟杆菌门对 Zn、Pb 和 Cd 具有显著的耐受性。通过探索这些耐受微生物的潜在用途,我们旨在为重金属污染地区的生物修复提供菌株和理论依据。