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以基因组为中心解析厌氧消化过程中的微生物多样性、代谢及相互作用

Genome-centric resolution of microbial diversity, metabolism and interactions in anaerobic digestion.

作者信息

Vanwonterghem Inka, Jensen Paul D, Rabaey Korneel, Tyson Gene W

机构信息

Advanced Water Management Centre (AWMC), The University of Queensland, QLD, 4072, St Lucia, Australia.

Australian Centre for Ecogenomics (ACE), The University of Queensland, QLD, 4072, St Lucia, Australia.

出版信息

Environ Microbiol. 2016 Sep;18(9):3144-58. doi: 10.1111/1462-2920.13382. Epub 2016 Jul 22.

Abstract

Our understanding of the complex interconnected processes performed by microbial communities is hindered by our inability to culture the vast majority of microorganisms. Metagenomics provides a way to bypass this cultivation bottleneck and recent advances in this field now allow us to recover a growing number of genomes representing previously uncultured populations from increasingly complex environments. In this study, a temporal genome-centric metagenomic analysis was performed of lab-scale anaerobic digesters that host complex microbial communities fulfilling a series of interlinked metabolic processes to enable the conversion of cellulose to methane. In total, 101 population genomes that were moderate to near-complete were recovered based primarily on differential coverage binning. These populations span 19 phyla, represent mostly novel species and expand the genomic coverage of several rare phyla. Classification into functional guilds based on their metabolic potential revealed metabolic networks with a high level of functional redundancy as well as niche specialization, and allowed us to identify potential roles such as hydrolytic specialists for several rare, uncultured populations. Genome-centric analyses of complex microbial communities across diverse environments provide the key to understanding the phylogenetic and metabolic diversity of these interactive communities.

摘要

我们对微生物群落所执行的复杂相互关联过程的理解受到我们无法培养绝大多数微生物的阻碍。宏基因组学提供了一种绕过这一培养瓶颈的方法,并且该领域的最新进展现在使我们能够从日益复杂的环境中恢复越来越多代表以前未培养种群的基因组。在这项研究中,对实验室规模的厌氧消化器进行了以时间基因组为中心的宏基因组分析,这些消化器拥有复杂的微生物群落,这些群落完成一系列相互关联的代谢过程,以实现纤维素向甲烷的转化。总共主要基于差异覆盖分箱法恢复了101个中度至近乎完整的种群基因组。这些种群跨越19个门,大多代表新物种,并扩大了几个稀有门的基因组覆盖范围。根据它们的代谢潜力分类为功能类群,揭示了具有高度功能冗余以及生态位专业化的代谢网络,并使我们能够确定几个稀有、未培养种群的潜在作用,如水解专家。对不同环境中复杂微生物群落进行以基因组为中心的分析,是理解这些相互作用群落的系统发育和代谢多样性的关键。

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