Characteristics and diversity of microbial communities in lead–zinc tailings under heavy metal stress in north‐west China. (1st February 2022)

• Record Type: Journal Article
• Authors: Gao, T.; Wang, X.; Liu, Y.; Wang, H.; Zuo, M.; He, Y.; Li, H.; Li, G.; Li, C.; Li, X.; Li, X.; Yang, Y.
• Is Part Of: Letters in applied microbiology. Volume 74:Number 2(2022)
• Page Start: 277
• Page End: 287
• Publication Date: 2022-02-01
• Subjects: bioremediation -- community structure -- heavy metal pollution -- high‐throughput sequencing -- lead–zinc tailings -- microbial diversity; Microbiology -- Periodicals; 660.62
• DOI: 10.1111/lam.13608
• Languages: English
• ISSNs: 0266-8254

Abstract

Abstract: High‐throughput 16S rRNA and 18S rRNA sequencing were performed to study the changes of soil microbial diversity and community structure under different heavy metal pollution levels in Chengxian lead–zinc mining area, Gansu Province. In this study, we characterized the main physicochemical properties, multiple heavy metal pollution, and microbial community structure of the soil in the tailings. The results show that the soil near the tailings pond was alkaline, barren and the heavy metals were seriously polluted. The microbial diversity and richness of S1 and S2 sites were significantly lower than that of CK2 site ( P < 0·05), indicating that the heavy metal pollution could change the physicochemical properties and microbial community structure in soil. Among 97 identified core operating taxa of fungal communities, Ascomycota, Teguta and Basidiomycota were dominant at the phylum level, while among 1523 identified core operating taxa of bacterial communities, Actinomycota was dominant at the phylum level. In addition, the redundancy analysis and Spearman correlation analysis showed that the physicochemical properties and the heavy metal concentration had significant effects on the composition and distribution of soil microbial community. The basic characteristics of soil physicochemical properties, multiple heavy metal pollution and microbial community structure in the tailings were revealed, hoping to provide a basis for ecological rehabilitation of tailings by revealing the variance rule of microbial community diversity in the future.