DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Hyung Seok | ko |
dc.contributor.author | Lee, SangYup | ko |
dc.contributor.author | Kim, Tae Yong | ko |
dc.contributor.author | Woo, Han Min | ko |
dc.date.accessioned | 2011-01-28T07:02:46Z | - |
dc.date.available | 2011-01-28T07:02:46Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2010-05 | - |
dc.identifier.citation | APPLIED AND ENVIRONMENTAL MICROBIOLOGY, v.76, no.10, pp.3097 - 3105 | - |
dc.identifier.issn | 0099-2240 | - |
dc.identifier.uri | http://hdl.handle.net/10203/21902 | - |
dc.description.abstract | The identification of genes to be deleted or amplified is an essential step in metabolic engineering for strain improvement toward the enhanced production of desired bioproducts. In the past, several methods based on flux analysis of genome-scale metabolic models have been developed for identifying gene targets for deletion. Genome-wide identification of gene targets for amplification, on the other hand, has been rather difficult. Here, we report a strategy called flux scanning based on enforced objective flux (FSEOF) to identify gene amplification targets. FSEOF scans all the metabolic fluxes in the metabolic model and selects fluxes that increase when the flux toward product formation is enforced as an additional constraint during flux analysis. This strategy was successfully employed for the identification of gene amplification targets for the enhanced production of the red-colored antioxidant lycopene. Additional metabolic engineering based on gene knockout simulation resulted in further synergistic enhancement of lycopene production. Thus, FSEOF can be used as a general strategy for selecting genome-wide gene amplification targets in silico. | - |
dc.description.sponsorship | We thank H. O. Bang for the construction of pLyc184. This work was supported by the Korean Systems Biology Research Project (grant no. 20090065571) of the Ministry of Education, Science, and Technology (MEST) through the National Research Foundation of Korea (NRF). Further support, from the World Class University Program (grant no. R32-2008-000-10142-0) of the MEST through the NRF and by the LG Chem Chair Professorship, the IBM SUR program, and Microsoft, is appreciated. | en |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | AMER SOC MICROBIOLOGY | - |
dc.title | In Silico Identification of Gene Amplification Targets for Improvement of Lycopene Production | - |
dc.type | Article | - |
dc.identifier.wosid | 000277388200004 | - |
dc.identifier.scopusid | 2-s2.0-77952265112 | - |
dc.type.rims | ART | - |
dc.citation.volume | 76 | - |
dc.citation.issue | 10 | - |
dc.citation.beginningpage | 3097 | - |
dc.citation.endingpage | 3105 | - |
dc.citation.publicationname | APPLIED AND ENVIRONMENTAL MICROBIOLOGY | - |
dc.identifier.doi | 10.1128/AEM.00115-10 | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Lee, SangYup | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordPlus | ESCHERICHIA-COLI STRAINS | - |
dc.subject.keywordPlus | METABOLIC FLUX ANALYSIS | - |
dc.subject.keywordPlus | OPTIMIZATION FRAMEWORK | - |
dc.subject.keywordPlus | SYSTEMS | - |
dc.subject.keywordPlus | BIOSYNTHESIS | - |
dc.subject.keywordPlus | NETWORKS | - |
dc.subject.keywordPlus | PATHWAY | - |
dc.subject.keywordPlus | RECONSTRUCTION | - |
dc.subject.keywordPlus | OVERPRODUCTION | - |
dc.subject.keywordPlus | INFORMATION | - |
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