Literature DB >> 34990612

Integrative analyses of geochemical parameters-microbe interactions reveal the variation of bacterial community assembly in multiple metal(loid)s contaminated arable regions.

Huakang Liu1, Mingyang Wei1, Huayan Huang1, Bohan Wu1, Yuxian Shangguan2.   

Abstract

Soil microbes play crucial roles in biochemical and geochemical processes in contaminated arable ecosystems. However, what factors determine the assembling process of soil bacterial community under multiple heavy metal (loid)s (HMs) stress and how communities respond to geochemical changes have rarely been understood. Therefore, a number of contaminated soils were sampled to explore the interactions among geochemical parameters, HMs and innate bacterial community. The results showed that soil biochemical activities were inhibited obviously with the increase of HMs. Significant differences were observed in bacterial composition and abundance in studied areas, with Actinobacteria, Proteobacteria, Chloroflexi, Acidobacteria and Firmicutes governing the bacterial community structure. Redundancy analysis and variation partition analysis revealed that about 67.33% of the variation in bacterial assemblages could be explained by physiochemical parameters (21.59%), biochemical parameters (11.64%), toxic metal (loid)s (9.11%) and the interaction effect of these variables (24.99%), among which total-arsenic and moisture were the main factors. Spearman correlation analysis also demonstrated that dehydrogenase, moisture and TOC have a positive correlation with bacterial community structure with As-Cd-Pb gradient. Altogether, this study would provide a comprehensive relationship between major environmental factors and bacterial assemblages, which could offer some baseline data to investigate the mechanisms of how communities respond to physiochemical changes.
Copyright © 2021. Published by Elsevier Inc.

Entities:  

Keywords:  Arable soils; Bacterial community assemblages; Dehydrogenase; Geochemical parameters-microbes interactions; Multiple metals contamination

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Year:  2022        PMID: 34990612     DOI: 10.1016/j.envres.2021.112621

Source DB:  PubMed          Journal:  Environ Res        ISSN: 0013-9351            Impact factor:   6.498


  1 in total

1.  Post-measurement compressed calibration for ICP-MS-based metal quantification in mine residues bioleaching.

Authors:  Beatriz Rito; Diogo Almeida; Carina Coimbra; Diogo Vicente; Romeu Francisco; Rita Branco; Harald Weigand; Paula Vasconcelos Morais
Journal:  Sci Rep       Date:  2022-09-26       Impact factor: 4.996

  1 in total

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