Department of Civil and Environmental Engineering, 4105 Seamans Center, University of Iowa, Iowa City, Iowa 52242, United States.
Environ Sci Technol. 2023 Oct 31;57(43):16386-16398. doi: 10.1021/acs.est.3c05439. Epub 2023 Oct 19.
Growth of organohalide-respiring bacteria such as on halogenated organics (e.g., polychlorinated biphenyls (PCBs)) at contaminated sites or in enrichment culture requires interaction and support from other microbial community members. To evaluate naturally occurring interactions between and key supporting microorganisms (e.g., production of H, acetate, and corrinoids) in PCB-contaminated sediments, metagenomic and metatranscriptomic sequencing was conducted on DNA and RNA extracted from sediment microcosms, showing evidence of both growth and PCB dechlorination. Using a genome-resolved approach, 160 metagenome-assembled genomes (MAGs), including three MAGs, were recovered. A novel reductive dehalogenase gene, distantly related to the chlorophenol dehalogenase gene (pairwise amino acid identity: 23.75%), was significantly expressed. Using MAG gene expression data, 112 MAGs were assigned functional roles (e.g., corrinoid producers, acetate/H producers, etc.). A network coexpression analysis of all 160 MAGs revealed correlations between 39 MAGs and the MAGs. The network analysis also showed that MAGs assigned with functional roles that support growth (e.g., corrinoid assembly, and production of intermediates required for corrinoid synthesis) displayed significant coexpression correlations with MAGs. This work demonstrates the power of genome-resolved metagenomic and metatranscriptomic analyses, which unify taxonomy and function, in investigating the ecology of dehalogenating microbial communities.
在受污染的地点或在富集培养物中,有机卤代呼吸细菌(如)在卤代有机化合物(例如多氯联苯(PCBs))上的生长需要与其他微生物群落成员相互作用和支持。为了评估受 PCB 污染的沉积物中自然发生的相互作用,对从沉积物微宇宙中提取的 DNA 和 RNA 进行了宏基因组和宏转录组测序,显示出和 PCB 脱氯的生长和证据。使用基因组解析方法,从沉积物微宇宙中提取的 DNA 和 RNA 进行了宏基因组和宏转录组测序,共回收了 160 个宏基因组组装基因组(MAGs),包括三个。一个新的还原脱卤酶基因,与氯酚脱卤酶基因(成对氨基酸同一性:23.75%)有很远的关系,被显著表达。使用 MAG 基因表达数据,将 112 个 MAG 分配了功能角色(例如,钴胺素生产者,乙酸/H 生产者等)。对所有 160 个 MAG 的网络共表达分析显示了 39 个 MAG 与 3 个 MAG 的相关性。网络分析还表明,支持生长的 MAG(例如,钴胺素组装,以及合成钴胺素所需的中间体的生产)的功能角色分配与 MAG 显示出显著的共表达相关性。这项工作展示了基因组解析宏基因组和宏转录组分析的强大功能,它统一了分类学和功能,用于研究脱卤微生物群落的生态学。