000866813 001__ 866813 000866813 005__ 20210130003635.0 000866813 0247_ $$2doi$$a10.1002/biot.201800444 000866813 0247_ $$2ISSN$$a1860-6768 000866813 0247_ $$2ISSN$$a1860-7314 000866813 0247_ $$2Handle$$a2128/23473 000866813 0247_ $$2altmetric$$aaltmetric:58579545 000866813 0247_ $$2pmid$$apmid:30927493 000866813 0247_ $$2WOS$$aWOS:000483834000016 000866813 037__ $$aFZJ-2019-05876 000866813 082__ $$a570 000866813 1001_ $$0P:(DE-Juel1)165361$$aStella, Roberto G.$$b0 000866813 245__ $$aEvolutionary engineering of Corynebacterium glutamicum 000866813 260__ $$aWeinheim$$bWiley-VCH$$c2019 000866813 3367_ $$2DRIVER$$aarticle 000866813 3367_ $$2DataCite$$aOutput Types/Journal article 000866813 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1574760179_2427 000866813 3367_ $$2BibTeX$$aARTICLE 000866813 3367_ $$2ORCID$$aJOURNAL_ARTICLE 000866813 3367_ $$00$$2EndNote$$aJournal Article 000866813 500__ $$aBiotechnologie 1 000866813 520__ $$aA unique feature of biotechnology is that we can harness the power of evolution to improve process performance. Rational engineering of microbial strains has led to the establishment of a variety of successful bioprocesses, but it is hampered by the overwhelming complexity of biological systems. Evolutionary engineering represents a straightforward approach for fitness‐linked phenotypes (e.g., growth or stress tolerance) and is successfully applied to select for strains with improved properties for particular industrial applications. In recent years, synthetic evolution strategies have enabled selection for increased small molecule production by linking metabolic productivity to growth as a selectable trait. This review summarizes the evolutionary engineering strategies performed with the industrial platform organism Corynebacterium glutamicum. An increasing number of recent studies highlight the potential of adaptive laboratory evolution (ALE) to improve growth or stress resistance, implement the utilization of alternative carbon sources, or improve small molecule production. Advances in next‐generation sequencing and automation technologies will foster the application of ALE strategies to streamline microbial strains for bioproduction and enhance our understanding of biological systems. 000866813 536__ $$0G:(DE-HGF)POF3-581$$a581 - Biotechnology (POF3-581)$$cPOF3-581$$fPOF III$$x0 000866813 588__ $$aDataset connected to CrossRef 000866813 7001_ $$0P:(DE-Juel1)171113$$aWiechert, Johanna$$b1 000866813 7001_ $$0P:(DE-Juel1)129050$$aNoack, Stephan$$b2 000866813 7001_ $$0P:(DE-Juel1)138503$$aFrunzke, Julia$$b3$$eCorresponding author 000866813 773__ $$0PERI:(DE-600)2214038-4$$a10.1002/biot.201800444$$gVol. 14, no. 9, p. 1800444 -$$n9$$p1800444 -$$tBiotechnology journal$$v14$$x1860-7314$$y2019 000866813 8564_ $$uhttps://juser.fz-juelich.de/record/866813/files/Stella%20et%20al_2019_BiotechJ.pdf$$yOpenAccess$$zStatID:(DE-HGF)0510 000866813 8564_ $$uhttps://juser.fz-juelich.de/record/866813/files/Stella%20et%20al_2019_BiotechJ.pdf?subformat=pdfa$$xpdfa$$yOpenAccess$$zStatID:(DE-HGF)0510 000866813 8564_ $$uhttps://juser.fz-juelich.de/record/866813/files/Stella_et_al-2019-Biotechnology_Journal.pdf$$yRestricted$$zStatID:(DE-HGF)0599 000866813 8564_ $$uhttps://juser.fz-juelich.de/record/866813/files/Stella_et_al-2019-Biotechnology_Journal.pdf?subformat=pdfa$$xpdfa$$yRestricted$$zStatID:(DE-HGF)0599 000866813 909CO $$ooai:juser.fz-juelich.de:866813$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire 000866813 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165361$$aForschungszentrum Jülich$$b0$$kFZJ 000866813 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)171113$$aForschungszentrum Jülich$$b1$$kFZJ 000866813 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)129050$$aForschungszentrum Jülich$$b2$$kFZJ 000866813 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)138503$$aForschungszentrum Jülich$$b3$$kFZJ 000866813 9131_ $$0G:(DE-HGF)POF3-581$$1G:(DE-HGF)POF3-580$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lKey Technologies for the Bioeconomy$$vBiotechnology$$x0 000866813 9141_ $$y2019 000866813 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS 000866813 915__ $$0StatID:(DE-HGF)1050$$2StatID$$aDBCoverage$$bBIOSIS Previews 000866813 915__ $$0LIC:(DE-HGF)CCBY4$$2HGFVOC$$aCreative Commons Attribution CC BY 4.0 000866813 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR$$bBIOTECHNOL J : 2017 000866813 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection 000866813 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded 000866813 915__ $$0StatID:(DE-HGF)9900$$2StatID$$aIF < 5 000866813 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000866813 915__ $$0StatID:(DE-HGF)0310$$2StatID$$aDBCoverage$$bNCBI Molecular Biology Database 000866813 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline 000866813 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bClarivate Analytics Master Journal List 000866813 920__ $$lyes 000866813 9201_ $$0I:(DE-Juel1)IBG-1-20101118$$kIBG-1$$lBiotechnologie$$x0 000866813 980__ $$ajournal 000866813 980__ $$aVDB 000866813 980__ $$aUNRESTRICTED 000866813 980__ $$aI:(DE-Juel1)IBG-1-20101118 000866813 9801_ $$aFullTexts