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Polymetallic contamination drives indigenous microbial community assembly dominated by stochastic processes at Pb-Zn smelting sites.
Mao, Jialing; Zheng, Zikui; Ma, Liyuan; Wang, Hongmei; Wang, Xingjie; Zhu, Feng; Xue, Shengguo; Srivastava, Pallavee; Sapsford, Devin J.
Afiliación
  • Mao J; Institute of Geological Survey, China University of Geosciences, Wuhan 430074, Hubei, China.
  • Zheng Z; School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China.
  • Ma L; Institute of Geological Survey, China University of Geosciences, Wuhan 430074, Hubei, China; School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China; School of Engineering, Cardiff University, Cardiff CF243AA, United Kingdom. Electronic address: maly@cug.edu.cn.
  • Wang H; School of Environmental Studies, China University of Geosciences, Wuhan 430074, Hubei, China.
  • Wang X; Institute of Geological Survey, China University of Geosciences, Wuhan 430074, Hubei, China; School of Engineering, Cardiff University, Cardiff CF243AA, United Kingdom.
  • Zhu F; School of Metallurgy and Environment, Central South University, Changsha 410083, China.
  • Xue S; School of Metallurgy and Environment, Central South University, Changsha 410083, China.
  • Srivastava P; School of Engineering, Cardiff University, Cardiff CF243AA, United Kingdom.
  • Sapsford DJ; School of Engineering, Cardiff University, Cardiff CF243AA, United Kingdom.
Sci Total Environ ; 947: 174575, 2024 Oct 15.
Article en En | MEDLINE | ID: mdl-38977087
ABSTRACT
Indigenous microbial communities in smelting areas are crucial for maintaining fragile ecosystem functions. However, the community assembly process and their responses to polymetallic pollution are poorly understood, especially the taxa in each bin from the amplicons that contributed to the assembly process. Herein, microbial diversity, co-occurrence patterns, assembly process and the intrinsic mechanisms across contamination gradients at a typical PbZn smelting site were systematically unravelled by high-throughput sequencing. The results showed a consistent compositional profile among the indigenous communities across sampling sites, wherein genera KD4-96 from Chloroflexi and Sphingomonas from Proteobacteria emerged as the most abundant taxa. Network modularity of the high- and middle-contaminated communities at Pb and Zn smelting sites was >0.44, indicating that community populations were clustered into modules to resist high heavy metal stress. Stochastic processes dominated the community assembly, with the greatest contribution from drift (DR), which was significantly correlated with Pb, Zn, Cr and Cu contents. What's particular was that the DR-controlled bins were dominated by Proteobacteria (typical r-strategists), while the HoS-controlled bins were by Chloroflexi (typical K-strategists). Furthermore, the proportion of DR in the bins dominated by Sphingomonadaceae (phylum Proteobacteria) increased gradually with the increase of heavy metal contents. These discoveries provide essential insights for community control in restoring and mitigating soil degradation at PbZn smelting sites.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Microbiología del Suelo / Contaminantes del Suelo / Zinc / Microbiota / Plomo Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Microbiología del Suelo / Contaminantes del Suelo / Zinc / Microbiota / Plomo Idioma: En Revista: Sci Total Environ Año: 2024 Tipo del documento: Article País de afiliación: China
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