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Series GSE164470 Query DataSets for GSE164470
Status Public on Jan 09, 2021
Title Identification of a novel metabolic engineering target for carotenoid production in Saccharomyces cerevisiae via ethanol-induced adaptive laboratory evolution
Organism Saccharomyces cerevisiae
Experiment type Expression profiling by high throughput sequencing
Summary Carotenoids are a large family of health-beneficial compounds that have been widely used in the food and nutraceutical industries. There have been extensive studies to engineer Saccharomyces cerevisiae for the production of carotenoids, which already gained high level. However, it was difficult to discover new targets that were relevant to the accumulation of carotenoids. Herein, a new, ethanol-induced adaptive laboratory evolution was applied to boost carotenoid accumulation in a carotenoid producer BL03-D-4, subsequently, an evolved strain M3 was obtained with a 5.1-fold increase in carotenoid yield. Through whole-genome resequencing and reverse engineering, loss-of-function mutation of phosphofructokinase 1 (PFK1) was revealed as the major cause of increased carotenoid yield. Transcriptome analysis was conducted to reveal the potential mechanisms for improved yield, and strengthening of gluconeogenesis and downregulation of cell wall-related genes were observed in M3. This study provided a classic case where the appropriate selective pressure could be employed to improve carotenoid yield using adaptive evolution and elucidated the causal mutation of evolved strain.
 
Overall design RNA-seq of strain BL03-D-4 and M3.
Web link https://bioresourcesbioprocessing.springeropen.com/articles/10.1186/s40643-021-00402-5
 
Contributor(s) Su B, Li A, Deng M, Zhu H
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Jan 08, 2021
Last update date Jul 15, 2021
Contact name Li Bu Su
E-mail(s) bolysu@hotmail.com
Organization name Guangdong Institute of Microbiology
Street address No. 100, Xianlie Middle Road, Guangzhou, 510070, PR China
City Guangzhou
ZIP/Postal code 510070
Country China
 
Platforms (1)
GPL27812 Illumina NovaSeq 6000 (Saccharomyces cerevisiae)
Samples (2)
GSM5011614 BL03-D-4
GSM5011615 M3
Relations
BioProject PRJNA690797
SRA SRP300915

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE164470_Raw_gene_counts_matrix.txt.gz 571.2 Kb (ftp)(http) TXT
GSE164470_different_expression_gene.xlsx 42.5 Kb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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