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Artificial Caprolactam-Specific Riboswitch as an Intracellular Metabolite Sensor

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dc.contributor.authorJang, Sungyeon-
dc.contributor.authorJang, Sungho-
dc.contributor.authorIm, Dae-Kyun-
dc.contributor.authorKang, Taek Jin-
dc.contributor.authorOh, Min-Kyu-
dc.contributor.authorJung, Gyoo Yeol-
dc.date.accessioned2021-09-01T14:33:40Z-
dc.date.available2021-09-01T14:33:40Z-
dc.date.created2021-06-19-
dc.date.issued2019-06-
dc.identifier.issn2161-5063-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/65237-
dc.description.abstractCaprolactam is a monomer used for the synthesis of nylon-6, and a recombinant microbial strain for biobased production of nylon-6 was recently developed. An intracellular biosensor for caprolactam can facilitate high throughput metabolic engineering of recombinant microbial strains. Because of the mixed production of caprolactam and valerolactam in the recombinant strain, a caprolactam biosensor should be highly specific for caprolactam. However, a highly specific caprolactam sensor has not been reported. Here, we developed an artificial riboswitch that specifically responds to caprolactam. This riboswitch was prepared using a coupled in vitro in vivo selection strategy with a heterogeneous pool of RNA aptamers obtained from in vitro selection to construct a riboswitch library used in in vivo selection. The caprolactam riboswitch successfully discriminated caprolactam from valerolactam. Moreover, the riboswitch was activated by 3.36-fold in the presence of 50 mM caprolactam. This riboswitch enabled caprolactam-dependent control of cell growth, which will be useful for improving caprolactam production and is a valuable tool for metabolic engineering.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherAMER CHEMICAL SOC-
dc.subjectESCHERICHIA-COLI-
dc.subjectRNA-
dc.subjectTRANSCRIPTION-
dc.subjectSELECTION-
dc.subjectDESIGN-
dc.subjectOPTIMIZATION-
dc.subjectEVOLUTION-
dc.titleArtificial Caprolactam-Specific Riboswitch as an Intracellular Metabolite Sensor-
dc.typeArticle-
dc.contributor.affiliatedAuthorOh, Min-Kyu-
dc.identifier.doi10.1021/acssynbio.8b00452-
dc.identifier.scopusid2-s2.0-85067652557-
dc.identifier.wosid000473115700007-
dc.identifier.bibliographicCitationACS SYNTHETIC BIOLOGY, v.8, no.6, pp.1276 - 1283-
dc.relation.isPartOfACS SYNTHETIC BIOLOGY-
dc.citation.titleACS SYNTHETIC BIOLOGY-
dc.citation.volume8-
dc.citation.number6-
dc.citation.startPage1276-
dc.citation.endPage1283-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaBiochemistry & Molecular Biology-
dc.relation.journalWebOfScienceCategoryBiochemical Research Methods-
dc.subject.keywordPlusESCHERICHIA-COLI-
dc.subject.keywordPlusRNA-
dc.subject.keywordPlusTRANSCRIPTION-
dc.subject.keywordPlusSELECTION-
dc.subject.keywordPlusDESIGN-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusEVOLUTION-
dc.subject.keywordAuthorcaprolactam-
dc.subject.keywordAuthorriboswitch-
dc.subject.keywordAuthorSELEX-
dc.subject.keywordAuthormetabolite biosensor-
dc.subject.keywordAuthorhigh-throughput screening-
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