Publications

Detailed Information

Synthetic biology for evolutionary engineering: from perturbation of genotype to acquisition of desired phenotype

DC Field Value Language
dc.contributor.authorYang, Jina-
dc.contributor.authorKim, Beomhee-
dc.contributor.authorKim, Gi Yeon-
dc.contributor.authorJung, Gyoo Yeol-
dc.contributor.authorSeo, Sang Woo-
dc.date.accessioned2023-12-11T00:24:04Z-
dc.date.available2023-12-11T00:24:04Z-
dc.date.created2020-02-14-
dc.date.issued2019-05-09-
dc.identifier.citationBiotechnology for Biofuels, Vol.12 No.1, p. 113-
dc.identifier.issn1754-6834-
dc.identifier.urihttps://hdl.handle.net/10371/197626-
dc.description.abstractWith the increased attention on bio-based industry, demands for techniques that enable fast and effective strain improvement have been dramatically increased. Evolutionary engineering, which is less dependent on biological information, has been applied to strain improvement. Currently, synthetic biology has made great innovations in evolutionary engineering, particularly in the development of synthetic tools for phenotypic perturbation. Furthermore, discovering biological parts with regulatory roles and devising novel genetic circuits have promoted high-throughput screening and selection. In this review, we first briefly explain basics of synthetic biology tools for mutagenesis and screening of improved variants, and then describe how these strategies have been improved and applied to phenotypic engineering. Evolutionary engineering using advanced synthetic biology tools will enable further innovation in phenotypic engineering through the development of novel genetic parts and assembly into well-designed logic circuits that perform complex tasks.-
dc.language영어-
dc.publisherBioMed Central-
dc.titleSynthetic biology for evolutionary engineering: from perturbation of genotype to acquisition of desired phenotype-
dc.typeArticle-
dc.identifier.doi10.1186/s13068-019-1460-5-
dc.citation.journaltitleBiotechnology for Biofuels-
dc.identifier.wosid000467549100002-
dc.identifier.scopusid2-s2.0-85065611888-
dc.citation.number1-
dc.citation.startpage113-
dc.citation.volume12-
dc.description.isOpenAccessY-
dc.contributor.affiliatedAuthorSeo, Sang Woo-
dc.type.docTypeReview-
dc.description.journalClass1-
dc.subject.keywordPlusCONTINUOUS DIRECTED EVOLUTION-
dc.subject.keywordPlusESCHERICHIA-COLI-
dc.subject.keywordPlusGENE-EXPRESSION-
dc.subject.keywordPlusTRANSCRIPTION MACHINERY-
dc.subject.keywordPlusGLOBAL TRANSCRIPTION-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusTRANSLATION-
dc.subject.keywordPlusPOLYMERASE-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusCRISPR-
dc.subject.keywordAuthorSynthetic biology-
dc.subject.keywordAuthorEvolutionary engineering-
dc.subject.keywordAuthorBiosensor-
dc.subject.keywordAuthorCell factory-
dc.subject.keywordAuthorDirected evolution-
Appears in Collections:
Files in This Item:
There are no files associated with this item.

Altmetrics

Item View & Download Count

  • mendeley

Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.

Share