Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications
Abstract
Metabolic engineering aims to develop efficient cell factories by rewiring cellular metabolism. As one of the most commonly used cell factories, Saccharomyces cerevisiae has been extensively engineered to produce a wide variety of products at high levels from various feedstocks. In this paper, we summarize the recent development of metabolic engineering approaches to modulate yeast metabolism with representative examples. Particularly, we highlight new tools for biosynthetic pathway optimization (i.e. combinatorial transcriptional engineering and dynamic metabolic flux control) and genome engineering (i.e. clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated (Cas) system based genome engineering and RNA interference assisted genome evolution) to advance metabolic engineering in yeast. Lastly, we also discuss the challenges and perspectives for high throughput metabolic engineering.
- Authors:
-
- Zhejiang Univ., Hangzhou (China). Key Laboratory of Biomass Chemical Engineering of Ministry of Education, College of Chemical and Biological Engineering; University of Illinois at Urbana-Champaign, Urbana, IL (United States). Department of Chemical and Biomolecular Engineering, Carl R. Woese Institute for Genomic Biology
- University of Illinois at Urbana-Champaign, Urbana, IL (United States). Department of Chemical and Biomolecular Engineering, Carl R. Woese Institute for Genomic Biology
- University of Illinois at Urbana-Champaign, Urbana, IL (United States). Department of Chemical and Biomolecular Engineering, Carl R. Woese Institute for Genomic Biology and Departments of Chemistry, Biochemistry, and Bioengineering
- Publication Date:
- Research Org.:
- Center for Advanced Bioenergy and Bioproducts (CABBI), Urbana, IL (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC), Biological and Environmental Research (BER)
- OSTI Identifier:
- 1436581
- Grant/Contract Number:
- SC0018420; SC0018260
- Resource Type:
- Journal Article: Accepted Manuscript
- Journal Name:
- Metabolic Engineering
- Additional Journal Information:
- Journal Volume: 50; Journal ID: ISSN 1096-7176
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 59 BASIC BIOLOGICAL SCIENCES; Metabolic engineering; Pathway optimization; Genome engineering; Saccharomyces cerevisiae
Citation Formats
Lian, Jiazhang, Mishra, Shekhar, and Zhao, Huimin. Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications. United States: N. p., 2018.
Web. doi:10.1016/j.ymben.2018.04.011.
Lian, Jiazhang, Mishra, Shekhar, & Zhao, Huimin. Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications. United States. https://doi.org/10.1016/j.ymben.2018.04.011
Lian, Jiazhang, Mishra, Shekhar, and Zhao, Huimin. 2018.
"Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications". United States. https://doi.org/10.1016/j.ymben.2018.04.011. https://www.osti.gov/servlets/purl/1436581.
@article{osti_1436581,
title = {Recent advances in metabolic engineering of Saccharomyces cerevisiae: New tools and their applications},
author = {Lian, Jiazhang and Mishra, Shekhar and Zhao, Huimin},
abstractNote = {Metabolic engineering aims to develop efficient cell factories by rewiring cellular metabolism. As one of the most commonly used cell factories, Saccharomyces cerevisiae has been extensively engineered to produce a wide variety of products at high levels from various feedstocks. In this paper, we summarize the recent development of metabolic engineering approaches to modulate yeast metabolism with representative examples. Particularly, we highlight new tools for biosynthetic pathway optimization (i.e. combinatorial transcriptional engineering and dynamic metabolic flux control) and genome engineering (i.e. clustered regularly interspaced short palindromic repeats (CRISPR)/CRISPR associated (Cas) system based genome engineering and RNA interference assisted genome evolution) to advance metabolic engineering in yeast. Lastly, we also discuss the challenges and perspectives for high throughput metabolic engineering.},
doi = {10.1016/j.ymben.2018.04.011},
url = {https://www.osti.gov/biblio/1436581},
journal = {Metabolic Engineering},
issn = {1096-7176},
number = ,
volume = 50,
place = {United States},
year = {Wed Apr 25 00:00:00 EDT 2018},
month = {Wed Apr 25 00:00:00 EDT 2018}
}
Web of Science
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