Procedure for adaptive laboratory evolution of microorganisms using a chemostat

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dc.contributor.authorHaeyoung Jeong-
dc.contributor.authorSang Jun Lee-
dc.contributor.authorP Kim-
dc.date.accessioned2017-04-19T10:26:29Z-
dc.date.available2017-04-19T10:26:29Z-
dc.date.issued2016-
dc.identifier.issn1940-087X-
dc.identifier.uri10.3791/54446.ko
dc.identifier.urihttps://oak.kribb.re.kr/handle/201005/13417-
dc.description.abstractNatural evolution involves genetic diversity such as environmental change and a selection between small populations. Adaptive laboratory evolution (ALE) refers to the experimental situation in which evolution is observed using living organisms under controlled conditions and stressors; organisms are thereby artificially forced to make evolutionary changes. Microorganisms are subject to a variety of stressors in the environment and are capable of regulating certain stress-inducible proteins to increase their chances of survival. Naturally occurring spontaneous mutations bring about changes in a microorganism's genome that affect its chances of survival. Long-term exposure to chemostat culture provokes an accumulation of spontaneous mutations and renders the most adaptable strain dominant. Compared to the colony transfer and serial transfer methods, chemostat culture entails the highest number of cell divisions and, therefore, the highest number of diverse populations. Although chemostat culture for ALE requires more complicated culture devices, it is less labor intensive once the operation begins. Comparative genomic and transcriptome analyses of the adapted strain provide evolutionary clues as to how the stressors contribute to mutations that overcome the stress. The goal of the current paper is to bring about accelerated evolution of microorganisms under controlled laboratory conditions.-
dc.publisherJournal of Visualized Experiments-
dc.titleProcedure for adaptive laboratory evolution of microorganisms using a chemostat-
dc.title.alternativeProcedure for adaptive laboratory evolution of microorganisms using a chemostat-
dc.typeArticle-
dc.citation.titleJournal of Visualized Experiments-
dc.citation.number115-
dc.citation.endPagee54446-
dc.citation.startPagee54446-
dc.citation.volume2016-
dc.contributor.affiliatedAuthorHaeyoung Jeong-
dc.contributor.affiliatedAuthorSang Jun Lee-
dc.contributor.alternativeName정해영-
dc.contributor.alternativeName이상준-
dc.contributor.alternativeName김필-
dc.identifier.bibliographicCitationJournal of Visualized Experiments, vol. 2016, no. 115, pp. e54446-e54446-
dc.identifier.doi10.3791/54446-
dc.subject.keywordAdaptation-
dc.subject.keywordChemostat-
dc.subject.keywordContinuous selection-
dc.subject.keywordEvolution-
dc.subject.keywordGenetics-
dc.subject.keywordIssue 115-
dc.subject.keywordMicrobiology-
dc.subject.keywordMicroorganism-
dc.subject.keywordStress-
dc.subject.keywordStress response-
dc.subject.localAdaptation-
dc.subject.localadaptation-
dc.subject.localChemostat-
dc.subject.localchemostat-
dc.subject.localContinuous selection-
dc.subject.localEvolution-
dc.subject.localevolution-
dc.subject.localGenetics-
dc.subject.localgenetics-
dc.subject.localIssue 115-
dc.subject.localMicrobiology-
dc.subject.localmicroorganism-
dc.subject.localmicroorganisms-
dc.subject.localMicroorganism-
dc.subject.localMicroorganisms-
dc.subject.localmicroorganims-
dc.subject.localStress-
dc.subject.localstress-
dc.subject.localstresses-
dc.subject.localStress response-
dc.description.journalClassY-
Appears in Collections:
Division of Research on National Challenges > Infectious Disease Research Center > 1. Journal Articles
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