进行厌氧消化过程中微生物活性与代谢物降解之间联系的综合分析。,Journal of Proteome Research

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进行厌氧消化过程中微生物活性与代谢物降解之间联系的综合分析。
Journal of Proteome Research ( IF 3.8 ) Pub Date : 2020-08-30 , DOI: 10.1021/acs.jproteome.0c00251
Laëtitia Cardona ₁ , Kim Anh Lê Cao ₂ , Francesc Puig-Castellví _{1,

3} , Chrystelle Bureau ₁ , Céline Madigou ₄ , Laurent Mazéas ₁ , Olivier Chapleur ₁

Affiliation

厌氧消化（AD）是一种有前途的生物过程，可将废物转化为可持续能源。为了充分利用AD的能力，我们需要加深对涉及此复杂生物过程的微生物群的了解。高通量方法学为分子水平上的AD流程研究开辟了新的视角，最近的数据集成方法学也为提取相关信息提供了支持。在这项研究中，我们在实验室规模的厌氧共消化实验中研究了微生物活性与底物降解之间的联系，该实验向消化池喂食了三种共底物（鱼粪，污水污泥和草皮）的九种不同混合物。使用16S rRNA测序和非靶向代谢组学分析样品。在这篇文章中，我们提出了一套多元工具，以统计方式整合这些数据并确定每种共底物特有的微生物和代谢谱之间的协调模式。已成功证明了五种主要特征，包括尸胺降解与该微生物的活性有关。梭菌和甲烷菌属。这项研究突出了数据集成对全面了解AD微生物群的潜力。

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Integrative Analyses to Investigate the Link between Microbial Activity and Metabolite Degradation during Anaerobic Digestion.

Anaerobic digestion (AD) is a promising biological process that converts waste into sustainable energy. To fully exploit AD’s capability, we need to deepen our knowledge of the microbiota involved in this complex bioprocess. High-throughput methodologies open new perspectives to investigate the AD process at the molecular level, supported by recent data integration methodologies to extract relevant information. In this study, we investigated the link between microbial activity and substrate degradation in a lab-scale anaerobic codigestion experiment, where digesters were fed with nine different mixtures of three cosubstrates (fish waste, sewage sludge, and grass). Samples were profiled using 16S rRNA sequencing and untargeted metabolomics. In this article, we propose a suite of multivariate tools to statistically integrate these data and identify coordinated patterns between groups of microbial and metabolic profiles specific of each cosubstrate. Five main groups of features were successfully evidenced, including cadaverine degradation found to be associated with the activity of microorganisms from the order Clostridiales and the genus Methanosarcina. This study highlights the potential of data integration toward a comprehensive understanding of AD microbiota.

更新日期：2020-10-02

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