Junkyu Lee, Byung Tae Lee, Mun Su Kwon, Hyun Uk Kim
{"title":"Metabolic modeling of microorganisms involved in anaerobic digestion","authors":"Junkyu Lee, Byung Tae Lee, Mun Su Kwon, Hyun Uk Kim","doi":"10.1007/s12257-024-00128-z","DOIUrl":null,"url":null,"abstract":"<p>Anaerobic digestion (AD) is a biological process where bacteria digest various types of organic matter under anaerobic conditions. AD has been particularly used for generating biogas from organic wastes, such as food waste. Despite its practical applications, the mechanistic understanding of the AD process remains elusive, especially complex interactions within a microbial community, and between the organic waste and microbial community. One systematic approach to address this challenge is to deploy genome-scale metabolic models (GEMs) of microorganisms involved in AD. GEM is a computational model that describes an entire metabolic network of a cell, and can be simulated under various conditions of interest. In this review, we discuss recent metabolic studies of AD-related microorganisms by using their GEMs across the four major stages of AD. We also suggest future directions in this field that need to be addressed to further optimize the GEMs and the AD process.</p>","PeriodicalId":8936,"journal":{"name":"Biotechnology and Bioprocess Engineering","volume":null,"pages":null},"PeriodicalIF":2.5000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biotechnology and Bioprocess Engineering","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1007/s12257-024-00128-z","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOTECHNOLOGY & APPLIED MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Anaerobic digestion (AD) is a biological process where bacteria digest various types of organic matter under anaerobic conditions. AD has been particularly used for generating biogas from organic wastes, such as food waste. Despite its practical applications, the mechanistic understanding of the AD process remains elusive, especially complex interactions within a microbial community, and between the organic waste and microbial community. One systematic approach to address this challenge is to deploy genome-scale metabolic models (GEMs) of microorganisms involved in AD. GEM is a computational model that describes an entire metabolic network of a cell, and can be simulated under various conditions of interest. In this review, we discuss recent metabolic studies of AD-related microorganisms by using their GEMs across the four major stages of AD. We also suggest future directions in this field that need to be addressed to further optimize the GEMs and the AD process.
厌氧消化(AD)是细菌在厌氧条件下消化各类有机物的生物过程。厌氧消化尤其用于从食物垃圾等有机废物中产生沼气。尽管有实际应用,但对厌氧消化(AD)过程的机理仍然难以理解,尤其是微生物群落内部以及有机废物与微生物群落之间复杂的相互作用。应对这一挑战的一种系统方法是建立参与厌氧消化的微生物的基因组尺度代谢模型(GEM)。GEM 是一种描述细胞整个代谢网络的计算模型,可以在各种相关条件下进行模拟。在这篇综述中,我们将讨论最近通过使用 AD 相关微生物的 GEM 对 AD 的四个主要阶段进行的代谢研究。我们还提出了该领域未来需要解决的方向,以进一步优化 GEM 和 AD 过程。
期刊介绍:
Biotechnology and Bioprocess Engineering is an international bimonthly journal published by the Korean Society for Biotechnology and Bioengineering. BBE is devoted to the advancement in science and technology in the wide area of biotechnology, bioengineering, and (bio)medical engineering. This includes but is not limited to applied molecular and cell biology, engineered biocatalysis and biotransformation, metabolic engineering and systems biology, bioseparation and bioprocess engineering, cell culture technology, environmental and food biotechnology, pharmaceutics and biopharmaceutics, biomaterials engineering, nanobiotechnology, and biosensor and bioelectronics.