Metabolic modeling of microorganisms involved in anaerobic digestion

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dc.contributor.authorLee, Junkyuko
dc.contributor.authorLee, Byung Taeko
dc.contributor.authorKwon, Mun Suko
dc.contributor.authorKim, Hyun Ukko
dc.date.accessioned2024-09-05T02:00:06Z-
dc.date.available2024-09-05T02:00:06Z-
dc.date.created2024-08-29-
dc.date.created2024-08-29-
dc.date.issued2024-07-
dc.identifier.citationBIOTECHNOLOGY AND BIOPROCESS ENGINEERING, v.29, no.4, pp.613 - 624-
dc.identifier.issn1226-8372-
dc.identifier.urihttp://hdl.handle.net/10203/322618-
dc.description.abstractAnaerobic 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.-
dc.languageEnglish-
dc.publisherKOREAN SOC BIOTECHNOLOGY & BIOENGINEERING-
dc.titleMetabolic modeling of microorganisms involved in anaerobic digestion-
dc.typeArticle-
dc.identifier.wosid001260394500001-
dc.identifier.scopusid2-s2.0-85197367752-
dc.type.rimsART-
dc.citation.volume29-
dc.citation.issue4-
dc.citation.beginningpage613-
dc.citation.endingpage624-
dc.citation.publicationnameBIOTECHNOLOGY AND BIOPROCESS ENGINEERING-
dc.identifier.doi10.1007/s12257-024-00128-z-
dc.contributor.localauthorKim, Hyun Uk-
dc.description.isOpenAccessN-
dc.type.journalArticleReview; Early Access-
dc.subject.keywordAuthorGenome-scale metabolic model-
dc.subject.keywordAuthorMetabolism-
dc.subject.keywordAuthorProduction-
dc.subject.keywordAuthorBiogas-
dc.subject.keywordAuthorMethane-
dc.subject.keywordAuthorAnaerobic digestion-
dc.subject.keywordPlusCOMPLETE GENOME SEQUENCE-
dc.subject.keywordPlusMETHANOSARCINA-ACETIVORANS-
dc.subject.keywordPlusRECONSTRUCTION-
dc.subject.keywordPlusREVEALS-
dc.subject.keywordPlusMICROBIOME-
dc.subject.keywordPlusWASTE-
dc.subject.keywordPlusMETHANOGENESIS-
dc.subject.keywordPlusPYROPHOSPHATE-
dc.subject.keywordPlusWOOD-LJUNGDAHL PATHWAY-
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