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首页> 外文期刊>Environmental Science & Technology >Quantifying Microbially Mediated Kinetics of Ferrihydrite Transformation and Arsenic Reduction: Role of the Arsenate-Reducing Gene Expression Pattern
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Quantifying Microbially Mediated Kinetics of Ferrihydrite Transformation and Arsenic Reduction: Role of the Arsenate-Reducing Gene Expression Pattern

机译：定量微生物介导的Ferrihydrite转化动力学和砷还原：减少砷酸盐的基因表达模式的作用

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摘要

The behavior of arsenic (As) is usually coupled with iron (Fe) oxide transformation and mediated by both abiotic reactions and microbial processes in the environment. However, quantitative models for the coupled kinetic processes, which specifically consider the arsenate-reducing gene expression correspondent to different reaction conditions, are lacking. In this study, based on the pure cultured Shewanella putrefaciens incubation experiments, extended X-ray absorption fine structure spectroscopy, high resolution transmission electron microscopy, and a suite of microbial analyses, we developed a coupled kinetics model for microbially mediated As reduction and Fe oxide transformation and specifically quantified the As(Ⅴ) reduction rate coefficients based on the expression patterns of arrA genes. The model reasonably described the temporal changes of As speciation and distribution. The microbial reduction rates of As(Ⅴ) varied dramatically during the reactions, which were well represented by the varying transcript abundances of arrA genes at different As concentrations. The contributions of biotic and abiotic reactions to the overall reaction rates were assessed. The results improved our quantitative understanding on the key role of As(Ⅴ)-reducing genes in regulating the speciation and distribution of As. The kinetic modeling approaches based on microbial gene expression patterns are promising for developing comprehensive biogeochemical models of As involving multiple coupled reactions.
机译：砷（AS）的行为通常与铁（Fe）氧化物转化偶联，并通过非生物反应和环境中的微生物过程介导。然而，缺乏用于偶联动力学方法的定量模型，其具体考虑砷酸盐还原基因表达对应于不同的反应条件。在本研究中，基于纯培养的肺蛋白腐败孵育实验，延伸的X射线吸收细结构光谱，高分辨率透射电子显微镜和一套微生物分析，我们开发了一种用于减少和Fe氧化物的微生物介导的耦合动力学模型基于ARRA基因的表达模式，转化并具体地量化AS（ⅴ）减少率系数。该模型合理地描述了作为形态和分布的时间变化。在反应期间（Ⅵ）的微生物还原速率在反应期间急剧变化，其通过与浓度不同的ARRA基因的变化转录物丰度很好地表示。评估生物和非生物反应对整体反应率的贡献。结果改善了我们对调节品种和分布的（Ⅵ）-REDICATE基因的关键作用的定量理解。基于微生物基因表达模式的动力学建模方法是开发涉及多种耦合反应的综合生物地球化学模型的希望。

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  • 来源
    《Environmental Science & Technology》 |2020年第11期|6621-6631|共11页
  • 作者

    Zhenqing Shi; Shiwen Hu; Jingyi Lin; Tongxu Liu; Xiaomin Li; Fangbai Li;

  • 作者单位

    The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education School of Environment and Energy South China University of Technology Guangzhou Guangdong 510006 People's Republic of China;

    The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education School of Environment and Energy South China University of Technology Guangzhou Guangdong 510006 People's Republic of China;

    The Key Lab of Pollution Control and Ecosystem Restoration in Industry Clusters Ministry of Education School of Environment and Energy South China University of Technology Guangzhou Guangdong 510006 People's Republic of China;

    Guangdong Key Laboratory of Agricultural Environment Pollution Integrated Control Guangdong Institute of Eco-Environmental Science & Technology Guangzhou 510650 People's Republic of China National-Regional Joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangzhou 510650 People's Republic of China;

    SCNU Environmental Research Institute Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Theoretical Chemistry of Environment South China Normal University Guangzhou 510006 People's Republic of China;

    Guangdong Key Laboratory of Agricultural Environment Pollution Integrated Control Guangdong Institute of Eco-Environmental Science & Technology Guangzhou 510650 People's Republic of China National-Regional joint Engineering Research Center for Soil Pollution Control and Remediation in South China Guangzhou 510650 People's Republic of China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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