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김동혁

Kim, Donghyuk
Systems Biology and Machine Learning Lab.
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dc.citation.startPage 132326 -
dc.citation.title BIORESOURCE TECHNOLOGY -
dc.citation.volume 426 -
dc.contributor.author Moon, Jo Hyun -
dc.contributor.author Woo, Jihoon -
dc.contributor.author Park, Joon Young -
dc.contributor.author Noh, Myung Hyun -
dc.contributor.author Kim, Donghyuk -
dc.contributor.author Jung, Gyoo Yeol -
dc.date.accessioned 2025-04-25T15:05:22Z -
dc.date.available 2025-04-25T15:05:22Z -
dc.date.created 2025-04-02 -
dc.date.issued 2025-06 -
dc.description.abstract Acetate is a cost-effective and sustainable carbon source that, despite its potential, remains underutilized. This study employed biosensor-assisted adaptive laboratory evolution (ALE) to enhance itaconic acid production and acetate metabolism in Escherichia coli. The evolved E. coli W strains exhibited 65% increase in itaconic acid production and 71% increase in growth rate, and 45% increase in itaconic acid yield. A common 31-kb genomic deletion was identified in the evolved strains, with two genes, ecw_m2276 and ecw_m2277, driving the observed phenotypic changes. The evolved strains exhibited an intensified stringent response, which enhanced the acetate- utilizing pathway and resulted in over a 5,000% increase in the expression of the glyoxylate shunt, thereby boosting microbial growth. Overexpression of relA further replicated these enhanced phenotypes. Our findings highlight not only significant physiological improvements but also present a novel strategy for enhancing microbial growth and bioproduction from acetate, offering valuable insights for industrial biotechnology applications. -
dc.identifier.bibliographicCitation BIORESOURCE TECHNOLOGY, v.426, pp.132326 -
dc.identifier.doi 10.1016/j.biortech.2025.132326 -
dc.identifier.issn 0960-8524 -
dc.identifier.scopusid 2-s2.0-86000281982 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/86613 -
dc.identifier.wosid 001443723200001 -
dc.language 영어 -
dc.publisher ELSEVIER SCI LTD -
dc.title Biosensor-guided evolution boosts itaconic acid production, unveiling unique insights into the stringent response -
dc.type Article -
dc.description.isOpenAccess TRUE -
dc.relation.journalWebOfScienceCategory Agricultural Engineering; Biotechnology & Applied Microbiology; Energy & Fuels -
dc.relation.journalResearchArea Agriculture; Biotechnology & Applied Microbiology; Energy & Fuels -
dc.type.docType Article -
dc.description.journalRegisteredClass scie -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor Adaptive laboratory evolution -
dc.subject.keywordAuthor Biosensor-assisted evolution -
dc.subject.keywordAuthor Stringent response -
dc.subject.keywordAuthor ppGpp -
dc.subject.keywordAuthor Acetate metabolism -
dc.subject.keywordAuthor Itaconic acid production -
dc.subject.keywordAuthor Escherichia coli -
dc.subject.keywordPlus ESCHERICHIA-COLI -
dc.subject.keywordPlus GROWTH-RATE -
dc.subject.keywordPlus PPGPP -
dc.subject.keywordPlus INDUCTION -
dc.subject.keywordPlus TRANSCRIPTION -
dc.subject.keywordPlus BIOSYNTHESIS -
dc.subject.keywordPlus INITIATION -
dc.subject.keywordPlus ACETATE -
dc.subject.keywordPlus OPERON -
dc.subject.keywordPlus GENE -

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