Single cell mutant selection for metabolic engineering of actinomycetes

dc.contributor.authorAkhgari Amir.
dc.contributor.authorBaral Bikash
dc.contributor.authorKoroleva Arina
dc.contributor.authorSiitonen Vilja
dc.contributor.authorFewer David P.
dc.contributor.authorMelançon Charles E.
dc.contributor.authorRahkila Jani
dc.contributor.authorMetsä-Ketelä Mikko
dc.contributor.organizationfi=biokemia|en=Biochemistry|
dc.contributor.organizationfi=molekulaarinen kasvibiologia|en=Molecular Plant Biology|
dc.contributor.organization-code1.2.246.10.2458963.20.49728377729
dc.contributor.organization-code1.2.246.10.2458963.20.50535969575
dc.contributor.organization-code2610101
dc.converis.publication-id176140457
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/176140457
dc.date.accessioned2022-10-28T12:41:35Z
dc.date.available2022-10-28T12:41:35Z
dc.description.abstract<p><a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/actinobacteria" title="Learn more about Actinomycetes from ScienceDirect's AI-generated Topic Pages">Actinomycetes</a> are important producers of pharmaceuticals and industrial enzymes. However, wild type strains require laborious development prior to industrial usage. Here we present a generally applicable reporter-guided <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/metabolic-engineering" title="Learn more about metabolic engineering from ScienceDirect's AI-generated Topic Pages">metabolic engineering</a> tool based on random <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/mutagenesis" title="Learn more about mutagenesis from ScienceDirect's AI-generated Topic Pages">mutagenesis</a>, selective pressure, and single-cell sorting. We developed fluorescence-activated cell sorting (FACS) methodology capable of reproducibly identifying high-performing individual cells from a mutant population directly from liquid cultures. Actinomycetes are an important source of catabolic enzymes, where product yields determine industrial viability. We demonstrate 5-fold yield improvement with an industrial <a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/cholesterol-oxidase" title="Learn more about cholesterol oxidase from ScienceDirect's AI-generated Topic Pages">cholesterol oxidase</a> ChoD producer <em><a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/streptomyces-lavendulae" title="Learn more about Streptomyces lavendulae from ScienceDirect's AI-generated Topic Pages">Streptomyces lavendulae</a></em> to 20.4 U g−1 in three rounds. Strain development is traditionally followed by production medium optimization, which is a time-consuming multi-parameter problem that may require hard to source ingredients. Ultra-high throughput screening allowed us to circumvent medium optimization and we identified high ChoD yield production strains directly from mutant libraries grown under preset culture conditions. Genome-mining based drug discovery is a promising source of bioactive compounds, which is complicated by the observation that target metabolic pathways may be silent under laboratory conditions. We demonstrate our technology for drug discovery by activating a silent mutaxanthene metabolic pathway in <em><a href="https://www.sciencedirect.com/topics/biochemistry-genetics-and-molecular-biology/amycolatopsis" title="Learn more about Amycolatopsis from ScienceDirect's AI-generated Topic Pages">Amycolatopsis</a></em><em>.</em> We apply the method for industrial strain development and increase mutaxanthene yields 9-fold to 99 mg l−1 in a second round of mutant selection. In summary, the ability to screen tens of millions of mutants in a single cell format offers broad applicability for metabolic engineering of actinomycetes for activation of silent metabolic pathways and to increase yields of proteins and natural products.<br></p>
dc.format.pagerange124
dc.format.pagerange133
dc.identifier.jour-issn1096-7176
dc.identifier.olddbid178273
dc.identifier.oldhandle10024/161367
dc.identifier.urihttps://www.utupub.fi/handle/11111/35743
dc.identifier.urlhttps://doi.org/10.1016/j.ymben.2022.07.002
dc.identifier.urnURN:NBN:fi-fe2022091258601
dc.language.isoen
dc.okm.affiliatedauthorBaral, Bikash
dc.okm.affiliatedauthorKoroleva, Arina
dc.okm.affiliatedauthorSiitonen, Vilja
dc.okm.affiliatedauthorMetsä-Ketelä, Mikko
dc.okm.discipline1182 Biochemistry, cell and molecular biologyen_GB
dc.okm.discipline1182 Biokemia, solu- ja molekyylibiologiafi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherAcademic Press Inc.
dc.publisher.countryUnited Statesen_GB
dc.publisher.countryYhdysvallat (USA)fi_FI
dc.publisher.country-codeUS
dc.relation.doi10.1016/j.ymben.2022.07.002
dc.relation.ispartofjournalMetabolic Engineering
dc.relation.volume73
dc.source.identifierhttps://www.utupub.fi/handle/10024/161367
dc.titleSingle cell mutant selection for metabolic engineering of actinomycetes
dc.year.issued2022

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