{"title":"Harnessing deep-sea cold seep microbiomes for reductive dehalogenation: from culturomics and genomics insights","authors":"Zhaochao Deng, Yeting Xie, Hao Yu, Xiaoyan Zhang, Tianyang Tan, Wenzhen Kuang, Zhiqiang Han, Yanhong Li, Heng Wang, Ning Zhang, Chunfang Zhang","doi":"10.1016/j.watres.2025.124072","DOIUrl":null,"url":null,"abstract":"Deep-sea cold seeps harbor a rich and diverse repertoire of reductive dehalogenase-encoding genes (<em>rdhA</em>), yet their potential for reductive dehalogenation remains largely unexplored. In this study, we investigated the microbial debromination of 2,4,6-tribromophenol (TBP) in cold seep sediment microcosms. By optimizing culture conditions with different nutrient sources and substrate concentrations, we established a highly efficient debrominating microbial consortium capable of completely degrading 50 μM TBP within 72 hours. Metagenomic analysis revealed Bin3, a novel bacterium affiliated with <em>Peptococcaceae</em>, as a key dehalogenator harboring multiple <em>rdhA</em> genes. Microbial community analysis demonstrated that nutrient availability significantly influenced beta diversity (community composition) but had only a minor effect on alpha diversity. Through degradation kinetics, co-occurrence network analysis, normalized stochasticity ratio analysis, and metagenomic quantification, we found that supplementing lactate along with 0.05% yeast extract significantly enhanced TBP degradation efficiency and facilitated the targeted enrichment of key dehalogenating microbes (with relative abundance increasing from <1% to 32%). Comparative genomic analysis indicated that Bin3 has undergone specific adaptations through expansion of gene families involved in pili formation, cell motility, nutrient acquisition, and diverse metabolic pathways, potentially enhancing its competitiveness in deep-sea cold seep environments. This study advances our understanding of deep-sea dehalogenating microbiomes and their adaptation to extreme environments, providing insights into their ecological significance and potential applications in pollutant bioremediation.","PeriodicalId":443,"journal":{"name":"Water Research","volume":"44 1","pages":""},"PeriodicalIF":11.4000,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Research","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.watres.2025.124072","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Deep-sea cold seeps harbor a rich and diverse repertoire of reductive dehalogenase-encoding genes (rdhA), yet their potential for reductive dehalogenation remains largely unexplored. In this study, we investigated the microbial debromination of 2,4,6-tribromophenol (TBP) in cold seep sediment microcosms. By optimizing culture conditions with different nutrient sources and substrate concentrations, we established a highly efficient debrominating microbial consortium capable of completely degrading 50 μM TBP within 72 hours. Metagenomic analysis revealed Bin3, a novel bacterium affiliated with Peptococcaceae, as a key dehalogenator harboring multiple rdhA genes. Microbial community analysis demonstrated that nutrient availability significantly influenced beta diversity (community composition) but had only a minor effect on alpha diversity. Through degradation kinetics, co-occurrence network analysis, normalized stochasticity ratio analysis, and metagenomic quantification, we found that supplementing lactate along with 0.05% yeast extract significantly enhanced TBP degradation efficiency and facilitated the targeted enrichment of key dehalogenating microbes (with relative abundance increasing from <1% to 32%). Comparative genomic analysis indicated that Bin3 has undergone specific adaptations through expansion of gene families involved in pili formation, cell motility, nutrient acquisition, and diverse metabolic pathways, potentially enhancing its competitiveness in deep-sea cold seep environments. This study advances our understanding of deep-sea dehalogenating microbiomes and their adaptation to extreme environments, providing insights into their ecological significance and potential applications in pollutant bioremediation.
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.