Department of Biology, University of Padua, Via U. Bassi 58/b, 35121 Padova, Italy.
Department of Environmental Engineering, Technical University of Denmark, Kgs. Lyngby DK-2800, Denmark.
Water Res. 2018 Sep 1;140:123-134. doi: 10.1016/j.watres.2018.04.043. Epub 2018 Apr 20.
The aim of this work was to elucidate the microbial ecology in twelve mesophilic and thermophilic full-scale biogas plants using a genome-centric metagenomic approach. In this study both biogas plants treating manure and those treating sludge from waste water treatment plants were considered. The identification of 132 Metagenome-Assembled Genomes (MAGs) and analysis of their abundance profile in different samples allowed the identification of the most abundant core members of the anaerobic digestion microbiome. Canonical correspondence analysis was used to determine the influence of biotic and environmental factors on MAGs abundance and to investigate the methanogenic performance of the biogas plants. Prediction of the functional properties of MAGs was obtained analyzing their KEGG pathways and their carbohydrate active domains. Network analysis allowed investigation of species-species associations and shed light on syntrophic interactions between members belonging to the anaerobic digestion dark matter (phylum Fermentibacteria). By stratifying and comparing different levels of information, it was predicted that some MAGs have a crucial role in the manure-supplemented thermophilic biogas plants and it was highlighted the importance of the glycine cleavage system in complementing the "truncated" Wood-Ljungdahl pathway.
本研究采用基于基因组的宏基因组学方法，阐明了 12 个中温和高温规模沼气工程中的微生物生态学。本研究同时考虑了处理粪便和处理污水处理厂污泥的沼气工程。通过鉴定 132 个宏基因组组装基因组（MAG）并分析它们在不同样本中的丰度分布，确定了厌氧消化微生物组中最丰富的核心成员。典范对应分析用于确定生物和环境因素对 MAG 丰度的影响，并研究沼气工程的产甲烷性能。通过分析 MAG 的 KEGG 途径和碳水化合物活性结构域，预测了 MAG 的功能特性。网络分析允许调查物种-物种之间的关联，并阐明属于厌氧消化暗物质（门 Fermentibacteria）的成员之间的共生相互作用。通过分层和比较不同层次的信息，预测了一些 MAG 在添加粪便的高温沼气工程中具有关键作用，并强调了甘氨酸裂解系统在补充“截断”的伍德-吕格达尔途径方面的重要性。
