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绝对定量和以基因组为中心的分析阐明了厌氧消化器中微生物种群的动态。

Absolute quantification and genome-centric analyses elucidate the dynamics of microbial populations in anaerobic digesters.

机构信息

Environmental Microbiome Engineering and Biotechnology Laboratory, Centre for Environmental Engineering Research, Department of Civil Engineering, The University of Hong Kong, Hong Kong, China.

Key Laboratory of Molecular Microbiology and Technology for Ministry of Education, College of Life Sciences, Nankai University, Tianjin 300071, China.

出版信息

Water Res. 2022 Oct 1;224:119049. doi: 10.1016/j.watres.2022.119049. Epub 2022 Sep 4.

Abstract

Anaerobic digestion (AD) relies on myriads of functions performed by complex microbial communities in customized settings, thus, a comprehensive investigation on the AD microbiome is central to the fine-tuned control. Most current AD microbiome studies are based on relative abundance, which hinders the interpretation of microbes' dynamics and inter-sample comparisons. Here, we developed an absolute quantification (AQ) approach that integrated cellular spike-ins with metagenomic sequencing to elucidate microbial community variations and population dynamics in four anaerobic digesters. Using this method, 253 microbes were defined as decaying populations with decay rates ranging from -0.05 to -5.85 d, wherein, a population from Flavobacteriaceae family decayed at the highest rates of -3.87 to -5.85 d in four digesters. Meanwhile, 25 microbes demonstrated the growing trend in the AD processes with growth rates ranging from 0.11 to 1.77 d, and genome-centric analysis assigned some of the populations to the functional niches of hydrolysis, short-chain fatty acids metabolism, and methane generation. Additionally, we observed that the specific activity of methanogens was lower in the prolonged digestion stage, and redundancy analysis revealed that the feedstock composition and the digestion duration were the two key parameters in governing the AD microbial compositions.

摘要

厌氧消化(AD)依赖于复杂微生物群落在定制环境中发挥的众多功能,因此,对 AD 微生物组的全面调查是精细调控的核心。目前大多数 AD 微生物组研究都是基于相对丰度,这阻碍了对微生物动态和样本间比较的解释。在这里,我们开发了一种绝对定量(AQ)方法,该方法将细胞内掺入物与宏基因组测序相结合,以阐明四个厌氧消化器中微生物群落的变化和种群动态。使用该方法,确定了 253 种微生物为衰减种群,其衰减率范围为-0.05 至-5.85d,其中,Flavobacteriaceae 科的一个种群在四个消化器中的衰减率最高,为-3.87 至-5.85d。同时,有 25 种微生物在 AD 过程中表现出增长趋势,其增长率范围为 0.11 至 1.77d,基于基因组的分析将一些种群分配到水解、短链脂肪酸代谢和甲烷生成等功能生态位。此外,我们观察到产甲烷菌的比活性在延长消化阶段较低,冗余分析表明,进料组成和消化时间是控制 AD 微生物组成的两个关键参数。

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