Literature DB >> 34523503

Microbial response and adaption to thallium contamination in soil profiles.

Jingye She1, Juan Liu2, Hongping He3, Qiong Zhang4, Yuyang Lin1, Jin Wang5, Meiling Yin1, Lulu Wang1, Xudong Wei1, Yeliang Huang1, Changzhi Chen1, Wenli Lin1, Nan Chen1, Tangfu Xiao6.   

Abstract

Thallium (Tl) is a trace metal with high toxicity. Comprehensive investigation of spatial distribution of Tl and microorganism is still limited in soils from mining area. In this study, 16S rRNA sequencing and network analysis were used for deciphering the co-occurrence patterns of bacterial communities in two different types of soil profiles around a typical Tl-bearing pyrite mine. The results showed that geochemical parameters (such as pH, S, Tl, Fe and TOM) were the driving forces for shaping the vertical distribution of microbial community. According to network analysis, a wide diversity of microbial modules were present in both soil profiles and affected by depth, significantly associated with variations in Tl geochemical fractionation. Phylogenetic information further unveiled that the microbial modules were mainly dominated by Fe reducing bacteria (FeRB), Fe oxidizing bacteria (FeOB), S oxidizing bacteria and Mn reducing bacteria. The results of metagenome indicated that Fe, Mn and S cycle in soil are closely involved in the biogeochemical cycle of Tl. The findings of co-occurrence patterns in the bacterial network and correlation between microorganisms and different geochemical fractions of Tl may benefit the strategy of bioremediation of Tl-contaminated soils with indigenous microbes.
Copyright © 2021 Elsevier B.V. All rights reserved.

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Keywords:  Biogeochemical cycles; Ecological network; Microbial interactions; Microorganism; Thallium

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Year:  2021        PMID: 34523503     DOI: 10.1016/j.jhazmat.2021.127080

Source DB:  PubMed          Journal:  J Hazard Mater        ISSN: 0304-3894            Impact factor:   10.588


  1 in total

1.  Construction Means of Soil Microbial Synusiologic Network Based on ANN.

Authors:  Xia Li; Huixian Wang; Miaoxin Yuan
Journal:  Comput Intell Neurosci       Date:  2022-10-03
  1 in total

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