João Miguel Spavieri, Thiago Gaspar Inacio, Gustavo Seguchi, Brenda Cristina de Souza, Gonçalo A G Pereira, Fellipe de Mello
{"title":"Impact of CRISPRi-Mediated Titration of <i>GPD</i> Genes on the Fermentative Performance of <i>S. cerevisiae</i>.","authors":"João Miguel Spavieri, Thiago Gaspar Inacio, Gustavo Seguchi, Brenda Cristina de Souza, Gonçalo A G Pereira, Fellipe de Mello","doi":"10.1021/acssynbio.5c00316","DOIUrl":null,"url":null,"abstract":"<p><p>Glycerol is one of the main byproducts in ethanol fermentation due to its importance in redox balance and response to osmotic stress in <i>Saccharomyces cerevisiae</i>. Since its production diverts carbon from alcohol production, traditional gene-editing methods have been applied to the glycerol synthesis pathway. However, such approaches generate undesirable phenotypes for industrial applications. In the present study, we employed the CRISPR-dCas9 system to moderately downregulate the expression of <i>GPD1</i> and <i>GPD2</i>, the two main genes involved in this metabolism. <i>GPD2</i> gene expression downregulation and a graded reduction in glycerol production after repression of four different target sites in each paralogue were achieved. Employment of the CRISPRi approach for <i>GPD</i> gene modulation resulted in higher specific ethanol productivity (SEP) than that of single knockout cells. Targeted modulation in a region -140 basepairs upstream of the transcription start site (TSS) of <i>GPD1</i> resulted in a 3% increase in ethanol production compared to the wild type and gpd Δ strains. Such regulation, combined with <i>GPD2</i> deletion, revealed the higher SEP among all tested strains. Furthermore, a <i>GPD1</i>-modulated strain maintained tolerance to high osmolarity in very high-gravity (VHG) fermentation while maintaining its ethanol production levels above those observed in the control strain.</p>","PeriodicalId":26,"journal":{"name":"ACS Synthetic Biology","volume":" ","pages":""},"PeriodicalIF":3.9000,"publicationDate":"2025-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1021/acssynbio.5c00316","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
Glycerol is one of the main byproducts in ethanol fermentation due to its importance in redox balance and response to osmotic stress in Saccharomyces cerevisiae. Since its production diverts carbon from alcohol production, traditional gene-editing methods have been applied to the glycerol synthesis pathway. However, such approaches generate undesirable phenotypes for industrial applications. In the present study, we employed the CRISPR-dCas9 system to moderately downregulate the expression of GPD1 and GPD2, the two main genes involved in this metabolism. GPD2 gene expression downregulation and a graded reduction in glycerol production after repression of four different target sites in each paralogue were achieved. Employment of the CRISPRi approach for GPD gene modulation resulted in higher specific ethanol productivity (SEP) than that of single knockout cells. Targeted modulation in a region -140 basepairs upstream of the transcription start site (TSS) of GPD1 resulted in a 3% increase in ethanol production compared to the wild type and gpd Δ strains. Such regulation, combined with GPD2 deletion, revealed the higher SEP among all tested strains. Furthermore, a GPD1-modulated strain maintained tolerance to high osmolarity in very high-gravity (VHG) fermentation while maintaining its ethanol production levels above those observed in the control strain.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.