砷酸盐
铁酸盐
腐败舍瓦内拉菌
砷
亚砷酸盐
遗传算法
非生物成分
化学
环境化学
转化(遗传学)
动力学
生物地球化学循环
基因
生物
遗传学
生物化学
细菌
生态学
吸附
量子力学
物理
有机化学
作者
Zhenqing Shi,Shiwen Hu,Jing‐Yi Lin,Tongxu Liu,Xiaomin Li,Fangbai Li
标识
DOI:10.1021/acs.est.9b07137
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.
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