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Regulatory mechanisms underlying yeast chemical stress response and development of robust strains for bioproduction.
Yuan, Bing; Wang, Wei-Bin; Wang, Ya-Ting; Zhao, Xin-Qing.
Affiliation
  • Yuan B; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Wang WB; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Wang YT; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
  • Zhao XQ; State Key Laboratory of Microbial Metabolism, Joint International Research Laboratory of Metabolic & Developmental Sciences, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China. Electronic address: xqzhao@sjtu.edu.cn.
Curr Opin Biotechnol ; 86: 103072, 2024 04.
Article de En | MEDLINE | ID: mdl-38330874
ABSTRACT
Yeast is widely studied in producing biofuels and biochemicals using renewable biomass. Among various yeasts, Saccharomyces cerevisiae has been particularly recognized as an important yeast cell factory. However, economic bioproduction using S. cerevisiae is challenged by harsh environments during fermentation, among which inhibitory chemicals in the culture media or toxic products are common experiences. Understanding the stress-responsive mechanisms is conducive to developing robust yeast strains. Here, we review recent progress in mechanisms underlying yeast stress response, including regulation of cell wall integrity, membrane transport, antioxidative system, and gene transcription. We highlight epigenetic regulation of stress response and summarize manipulation of yeast stress tolerance for improved bioproduction. Prospects in the application of machine learning to improve production efficiency are also discussed.
Sujet(s)

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Saccharomyces cerevisiae / Épigenèse génétique Langue: En Journal: Curr Opin Biotechnol Sujet du journal: BIOTECNOLOGIA Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Saccharomyces cerevisiae / Épigenèse génétique Langue: En Journal: Curr Opin Biotechnol Sujet du journal: BIOTECNOLOGIA Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni