微生物产硫过程中单质硫歧化引起的硫化氢反馈抑制作用

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL
Guijiao Zhang, Hao-Ran Xu, Wenwei Liao, Jia-Min Xu, Na Zhang, Daheng Ren, Xuchen Ba, Wenyan Mao, Wenke He, Cong Fang, Aijie Wang, Hao-Yi Cheng
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引用次数: 0

摘要

单质硫歧化(S0Disp)作为一种重要的硫生成过程,不仅在生物地球化学硫循环中发挥着重要作用,而且在各种废水处理系统中也越来越受到重视。对于硫生成过程,了解其产生的硫化物产生的反馈抑制(FBI)是必不可少的和基础的,而这一问题尚未在so0disp的背景下进行系统研究。本研究在富desulfocapsa的混合培养中研究了so0disp的FBI。H2S被确定为直接引起FBI的硫化物形式,其在22 mg-S/L和40 mg-S/L时分别具有半最大抑制浓度(IC50-H2S)和几乎完全抑制浓度(ICthreshold-H2S)。ICthreshold-H2S也被发现是控制FBI从可逆到不可逆的关键浓度。此外,基于亚转录组学分析,提出了so0disp可能的代谢途径,暗示h2s衍生的FBI可能参与血红素功能酶(如dsrAB、qmoABC和sox)的失活以及hdrabc催化反应的底物(过硫)缺乏。本研究结果不仅有助于更好地了解涉及s0disp的自然水系统,而且可以指导s0disp相关废水处理系统的优化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Feedback inhibition derived from hydrogen sulfide in microbial sulfidogenic process via elemental sulfur disproportionation

Feedback inhibition derived from hydrogen sulfide in microbial sulfidogenic process via elemental sulfur disproportionation
Elemental sulfur disproportionation (S0Disp), a key sulfidogenic process, has not only been known to play significant roles in biogeochemical sulfur cycles but has also received increasing attention in various wastewater treatment systems. For a sulfidogenic process, understanding the feedback inhibition (FBI) derived from the sulfide it produces is essential and fundamental, while this issue has yet to be systematically studied within the context of S0Disp. In this study, the FBI for S0Disp was investigated in Desulfocapsa-enriched mixed cultures. H2S was identified as the form of sulfide to bring about the FBI directly, which has a half-maximal inhibitory concentration (IC50-H2S) and an almost complete inhibitory concentration (ICthreshold-H2S) at 22 mg-S/L and 40 mg-S/L, respectively. The ICthreshold-H2S was also found to be a critical concentration in governing the FBI from reversible to irreversible. Furthermore, based on the metatranscriptomic analysis, the possible metabolic pathways of S0Disp were proposed, implying the mechanism of H2S-derived FBI may be involved in the deactivation of heme-functional enzymes (e.g., dsrAB, qmoABC, and sox) and the substrate (persulfide) deficiency of the hdrABC-catalyzed reaction. The findings of this study will not only help to better understand the S0Disp-involved natural water systems but can also guide the optimization of the S0Disp-related wastewater treatment systems.
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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