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通过综合宏基因组学揭示普通污水处理厂微生物群落的黑箱:工业废水处理。

Deciphering the black box of microbial community of common effluent treatment plant through integrated metagenomics: Tackling industrial effluent.

机构信息

Gujarat Biotechnology Research Centre (GBRC), Department of Science and Technology (DST), 6th Floor, MS Building, Gandhinagar, Gujarat, 382011, India.

Discipline of Earth Sciences, IIT Gandhinagar, Gujarat, 382355, India.

出版信息

J Environ Manage. 2021 Jul 1;289:112448. doi: 10.1016/j.jenvman.2021.112448. Epub 2021 Apr 5.

DOI:10.1016/j.jenvman.2021.112448
PMID:33831764
Abstract

Identifying the microbial community and their functional potential from different stages of common effluent treatment plants (CETP) can enhance the efficiency of wastewater treatment systems. In this study, wastewater metagenomes from 8 stages of CETP were screened for microbial diversity and gene profiling along with their corresponding degradation activities. The microbial community displayed 98.46% of bacterial species, followed by Eukarya (0.10%) and Archaea 0.02%. At the Phylum level, Proteobacteria (28.8%) was dominant, followed by Bacteroidetes (16.1%), Firmicutes (11.7%), and Fusobacteria (6.9%) which are mainly capable of degrading the aromatic compounds. Klebsiella pneumoniae, Wolinella succinogenes, Pseudomonas stutzeri, Desulfovibrio vulgaris, and Clostridium sticklandii were the most prevalent species. The functional analysis further demonstrated the presence of enzymes linked with genes/pathways known to be involved in the degradation/metabolization of aromatic compounds like benzoate, bisphenol, 1,2-dichloroethane phenylalanine. This information was further validated with the whole genome analysis of the bacteria isolated from the CETP. We anticipate that integrating both shotgun and whole-genome analyses can reveal the rich reservoir for novel enzymes and genes present in CETP effluent that can contribute to designing efficient bioremediation strategies for the environment in general CETP system, in particular.

摘要

从常规污水处理厂 (CETP) 的不同阶段识别微生物群落及其功能潜力,可以提高废水处理系统的效率。在这项研究中,从 CETP 的 8 个阶段筛选了废水宏基因组,以研究微生物多样性和基因谱及其相应的降解活性。微生物群落显示出 98.46%的细菌种类,其次是真核生物 (0.10%)和古菌 0.02%。在门水平上,变形菌门 (28.8%)占优势,其次是拟杆菌门 (16.1%)、厚壁菌门 (11.7%)和梭杆菌门 (6.9%),它们主要能够降解芳香族化合物。肺炎克雷伯菌、琥珀酸弧菌、施氏假单胞菌、普通脱硫弧菌和产丁酸梭菌是最常见的物种。功能分析进一步表明,存在与已知参与芳香族化合物如苯甲酸、双酚、1,2-二氯乙烷、苯丙氨酸降解/代谢的基因/途径相关的酶。这一信息还通过从 CETP 中分离的细菌的全基因组分析得到了验证。我们预计,整合鸟枪法和全基因组分析可以揭示 CETP 废水中存在的新型酶和基因的丰富资源,这有助于为环境设计高效的生物修复策略,特别是对 CETP 系统。

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