Fed-Batch Culture of Escherichia coli for L-Valine Production Based on In Silico Flux Response Analysis

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dc.contributor.authorPark, JHko
dc.contributor.authorKim, TYko
dc.contributor.authorLee, KHko
dc.contributor.authorLee, SangYupko
dc.date.accessioned2013-03-09T02:42:12Z-
dc.date.available2013-03-09T02:42:12Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued2011-04-
dc.identifier.citationBIOTECHNOLOGY AND BIOENGINEERING, v.108, no.4, pp.934 - 946-
dc.identifier.issn0006-3592-
dc.identifier.urihttp://hdl.handle.net/10203/95156-
dc.description.abstractWe have previously reported the development of a 100% genetically defined engineered Escherichia coli strain capable of producing L-valine from glucose with a high yield of 0.38 g L-valine per gram glucose (0.58 mol L-valine per mol glucose) by batch culture. Here we report a systems biological strategy of employing flux response analysis in bioprocess development using L-valine production by fed-batch culture as an example. Through the systems-level analysis, the source of ATP was found to be important for efficient L-valine production. There existed a trade-off between L-valine production and biomass formation, which was optimized for the most efficient L-valine production. Furthermore, acetic acid feeding strategy was optimized based on flux response analysis. The final fed-batch cultivation strategy allowed production of 32.3 g/L L-valine, the highest concentration reported for E. coli. This approach of employing systems-level analysis of metabolic fluxes in developing fed-batch cultivation strategy would also be applicable in developing strategies for the efficient production of other bioproducts. Biotechnol. Bioeng. 2011;108: 934-946. (C) 2010 Wiley Periodicals, Inc.-
dc.languageEnglish-
dc.publisherWILEY-BLACKWELL-
dc.titleFed-Batch Culture of Escherichia coli for L-Valine Production Based on In Silico Flux Response Analysis-
dc.typeArticle-
dc.identifier.wosid000288034700021-
dc.identifier.scopusid2-s2.0-79952578981-
dc.type.rimsART-
dc.citation.volume108-
dc.citation.issue4-
dc.citation.beginningpage934-
dc.citation.endingpage946-
dc.citation.publicationnameBIOTECHNOLOGY AND BIOENGINEERING-
dc.identifier.doi10.1002/bit.22995-
dc.contributor.localauthorLee, SangYup-
dc.contributor.nonIdAuthorPark, JH-
dc.contributor.nonIdAuthorKim, TY-
dc.contributor.nonIdAuthorLee, KH-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorL-valine-
dc.subject.keywordAuthorfed-batch culture-
dc.subject.keywordAuthorin silico flux response analysis-
dc.subject.keywordAuthorsystems metabolic engineering-
dc.subject.keywordPlusCORYNEBACTERIUM-GLUTAMICUM-
dc.subject.keywordPlusK-12-
dc.subject.keywordPlusGENE-
dc.subject.keywordPlusGROWTH-
dc.subject.keywordPlusMUTANT-
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