从处理过的废水中分离出的分枝杆菌菌株的氯抗性的基因组见解

IF 11.4 1区环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL

Water Research Pub Date : 2025-05-11 DOI:10.1016/j.watres.2025.123807

Rasindu Galagoda , Gyuhyon Cha , Hiroe Hara-Yamamura , Ryo Honda , Konstantinos T. Konstantinidis , Norihisa Matsuura

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引用次数: 0

摘要

氯是用于水处理的主要微生物消毒剂。然而，耐氯细菌，如分枝杆菌，可以在氯处理中存活，甚至在氯存在的情况下生长，构成潜在的公共卫生风险。在这项研究中，我们从处理过的废水中分离出一株分枝杆菌，并利用转录组学分析研究了它的氯抗性和回收率。具体来说，分离物M1与马西利波利尼西亚分枝杆菌型基因组的平均核苷酸同源性（ANI）为94.58%，暴露于1 ppm的HOCl中30分钟，并进行RNA测序。与对照条件（无HOCl）相比，被鉴定为上调的基因参与解毒(有毒化合物降解；nemA;log2 fold-change [FC]: 7.41)，氧化还原稳态(COQ5；醌合成;log2 FC 5.70, rosB；核黄素合成;log2 FC 5.61)、蛋白质稳态（cysHKO、moeZ半胱氨酸生物合成和arg复合物）；精氨酸代谢)和脂质代谢(cpnA；6.95 FC)表明对氧化应激的多方面适应。一些膜转运蛋白（czcD和bcr）的水平也上调，突出了它们在氯暴露中的作用。总的来说，本研究拓宽了对分枝杆菌抗氯策略的理解，分枝杆菌抗氧化应激和由此产生的细胞内有毒化合物，并对调整水处理技术以消除分枝杆菌具有重要意义。

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Genomic insights into chlorine resistance of a Mycobacterium sp. strain isolated from treated wastewater effluent

Chlorine is the principal microbial disinfectant used for water treatment. However, chlorine-resistant bacteria such as Mycobacterium spp., can survive chlorine treatment and even grow in the presence of chlorine, posing potential public health risks. In this study, we isolated a Mycobacterium sp. strain from treated effluent and investigated its chlorine resistance and recovery using transcriptomic analyses. Specifically, isolate M1, showing 94.58 % average nucleotide identity (ANI) with Mycobacterium massilipolynesiensis type genome, was exposed to 1 ppm HOCl for 30 min and subjected to RNA sequencing. Genes identified as upregulated compared to control conditions (no HOCl) were involved in detoxification (toxic compound degradation; nemA; log₂ fold-change [FC]: 7.41), redox homeostasis (COQ5; quinone synthesis; log₂ FC 5.70, rosB; riboflavin synthesis; log₂ FC 5.61), protein homeostasis (cysHKO, moeZ cysteine biosynthesis, and arg complex; arginine metabolism), and lipid metabolism (cpnA; 6.95 FC) suggesting a multifaceted adaptation to oxidative stress. Levels of a few membrane transport proteins (czcD, and bcr) were also upregulated, highlighting their role in chlorine exposure. Overall, this study broadens the understanding of chlorine resistance strategies employed by Mycobacterium sp. to combat oxidative stress and the resulting toxic intracellular compounds, and has implications for adjusting water treatment technologies toward eliminating mycobacteria.

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来源期刊

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.