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分子微生物群落分析作为优化沼气生产的分析工具

Molecular Microbial Community Analysis as an Analysis Tool for Optimal Biogas Production.

作者信息

Hashemi Seyedbehnam, Hashemi Sayed Ebrahim, Lien Kristian M, Lamb Jacob J

机构信息

Department of Energy and Process Engineering & Enersense, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway.

Department of Electronic Systems, Norwegian University of Science and Technology (NTNU), 7034 Trondheim, Norway.

出版信息

Microorganisms. 2021 May 28;9(6):1162. doi: 10.3390/microorganisms9061162.

Abstract

The microbial diversity in anaerobic digestion (AD) is important because it affects process robustness. High-throughput sequencing offers high-resolution data regarding the microbial diversity and robustness of biological systems including AD; however, to understand the dynamics of microbial processes, knowing the microbial diversity is not adequate alone. Advanced meta-omic techniques have been established to determine the activity and interactions among organisms in biological processes like AD. Results of these methods can be used to identify biomarkers for AD states. This can aid a better understanding of system dynamics and be applied to producing comprehensive models for AD. The paper provides valuable knowledge regarding the possibility of integration of molecular methods in AD. Although meta-genomic methods are not suitable for on-line use due to long operating time and high costs, they provide extensive insight into the microbial phylogeny in AD. Meta-proteomics can also be explored in the demonstration projects for failure prediction. However, for these methods to be fully realised in AD, a biomarker database needs to be developed.

摘要

厌氧消化(AD)中的微生物多样性很重要,因为它会影响工艺的稳健性。高通量测序可提供有关包括AD在内的生物系统的微生物多样性和稳健性的高分辨率数据;然而,要了解微生物过程的动态变化,仅知道微生物多样性是不够的。先进的元组学技术已被用于确定生物过程(如AD)中生物体之间的活性和相互作用。这些方法的结果可用于识别AD状态的生物标志物。这有助于更好地理解系统动态,并应用于生成AD的综合模型。本文提供了有关在AD中整合分子方法可能性的宝贵知识。尽管元基因组方法由于操作时间长和成本高而不适合在线使用,但它们能深入了解AD中的微生物系统发育。元蛋白质组学也可在示范项目中用于故障预测的探索。然而,要使这些方法在AD中得到充分应用,需要开发一个生物标志物数据库。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a7e/8226781/0b74aa150633/microorganisms-09-01162-g001.jpg

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