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Global transcription machinery engineering in Yarrowia lipolytica

cris.virtual.author-orcid0000-0001-8372-8459
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cris.virtualsource.author-orcid6f5a4155-2edb-48cf-b362-f3180e151169
cris.virtualsource.author-orcid#PLACEHOLDER_PARENT_METADATA_VALUE#
dc.abstract.enGlobal transcription machinery engineering (gTME) is a strategy for optimizing complex phenotypes in microbes by manipulating transcription factors (TFs) and their downstream transcriptional regulatory networks (TRN). In principle, gTME leads to a focused but comprehensive optimization of a microbe, also enabling the engineering of nonpathway functionalities, like stress resistance, protein expression, or growth rate. A link between a TF and a desired phenotype is to be established for a rationally designed gTME. For use in a high-throughput format with extensive libraries of TRN-engineered clones tested under multiple conditions, well-developed culturing and analytical protocols are needed, to reveal the pleiotropic effects of the TFs. This mini-review summarizes the gTME strategies and TFs described under different contexts in Yarrowia lipolytica. The outcomes of the gTME strategy application are also addressed, demonstrating its effectiveness in engineering complex, industrially relevant traits in Y. lipolytica.
dc.affiliationWydział Nauk o Żywności i Żywieniu
dc.affiliation.instituteKatedra Biotechnologii i Mikrobiologii Żywności
dc.contributor.authorCelińska, Ewelina
dc.contributor.authorZhou, Yongjin J
dc.date.access2025-11-14
dc.date.accessioned2025-11-14T11:11:28Z
dc.date.available2025-11-14T11:11:28Z
dc.date.copyright2025-05-08
dc.date.issued2025
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>Global transcription machinery engineering (gTME) is a strategy for optimizing complex phenotypes in microbes by manipulating transcription factors (TFs) and their downstream transcriptional regulatory networks (TRN). In principle, gTME leads to a focused but comprehensive optimization of a microbe, also enabling the engineering of nonpathway functionalities, like stress resistance, protein expression, or growth rate. A link between a TF and a desired phenotype is to be established for a rationally designed gTME. For use in a high-throughput format with extensive libraries of TRN-engineered clones tested under multiple conditions, well-developed culturing and analytical protocols are needed, to reveal the pleiotropic effects of the TFs. This mini-review summarizes the gTME strategies and TFs described under different contexts in Yarrowia lipolytica. The outcomes of the gTME strategy application are also addressed, demonstrating its effectiveness in engineering complex, industrially relevant traits in Y. lipolytica.</jats:p>
dc.description.accesstimeat_publication
dc.description.bibliographyil., bibliogr.
dc.description.financepublication_nocost
dc.description.financecost0,00
dc.description.if2,7
dc.description.points100
dc.description.versionfinal_published
dc.description.volume25
dc.identifier.doi10.1093/femsyr/foaf023
dc.identifier.eissn1567-1364
dc.identifier.issn1567-1356
dc.identifier.urihttps://sciencerep.up.poznan.pl/handle/item/5899
dc.identifier.weblinkhttps://academic.oup.com/femsyr/article/doi/10.1093/femsyr/foaf023/8127033
dc.languageen
dc.relation.ispartofFEMS Yeast Research
dc.relation.pagesfoaf023
dc.rightsCC-BY
dc.sciencecloudnosend
dc.share.typeOPEN_JOURNAL
dc.subject.englobal metabolic engineering
dc.subject.entranscription factors
dc.subject.enyeast
dc.subject.encomplex traits
dc.titleGlobal transcription machinery engineering in Yarrowia lipolytica
dc.typeJournalArticle
dspace.entity.typePublication
oaire.citation.volume25