site > International journal > (2018, IF=3.340) Multi-omic characterization of laboratory-evolved Saccharomyces cerevisiae HJ7-14 with high ability of algal-based ethanol production

Dept. of Advanced Fermentation Fusion Science & Technology, Kookmin University

|
회원가입

Topics

Professor | Current members | Alumni

Topics

International | Domestic | Patent

HOME > PUBLICATIONS

PUBLICATIONS

작성일 : 19-03-25 00:13

(2018, IF=3.340) Multi-omic characterization of laboratory-evolved Saccharomyces cerevisiae HJ7-14 with high ability of algal-based ethanol production

글쓴이 : ycpark

추천 : 0

https://link.springer.com/article/10.1007%2Fs00253-018-9306-9 [461]

Multi-omic characterization of laboratory-evolved Saccharomyces cerevisiae HJ7-14 with high ability of algal-based ethanol production

Soo-Jung Kim, Jung-Eun Lee, Do Yup Lee, Haeseong Park, Kyoung Heon Kim and Yong-Cheol Park*
Applied Microbiology and Biotechnology 102(20): 8989-9002 (2018.10)

In this study, an evolved Saccharomyces cerevisiae HJ7-14 with high ability of algae-based ethanol production was characterized by multi-omic approaches. Genome sequencing of the HJ7-14 revealed a point mutation in the GAL83 gene (G703A) involved in the catabolite repression as well as the galactose metabolism. Cultural and transcriptional analyses of a S. cerevisiae mutant with chromosomal GAL83(G703A) indicated that the catabolite repression onto the galactose metabolism was considerably relieved in all cell growth stages. Untargeted metabolomic approach revealed that metabolic phenotypes between the control D452-2 and HJ7-14 strains were clearly discriminated in time-dependent manner. Especially in early growth stage at 6 h, the HJ7-14 showed dramatic and coordinated alteration in central carbon and amino acid metabolisms. Through metabolomic re-organization, fold changes in fatty acid metabolism and metabolites related to stress response system were also found upon glucose depletion and active galactose utilization. Multi-omic characterization using genome sequencing, transcription, and metabolome profiling clearly unveiled that the GAL83 gene mutation partially relieved glucose-dependent catabolite repression and allowed the evolved HJ7-14 to efficiently convert algal sugars to ethanol. Our finding could be applicable for engineering of S. cerevisiae able to covert red algal biomass to other biofuels and biochemicals.

Contact Us

Science Building Room No. 204-205, Kookmin University
861-1 Jeongrung-dong, Sungbuk-gu, Seoul 136-702
Tel: +82-2-910-5596(5462), Fax: +82-2-910-5739
E-mail: ycpark@kookmin.ac.kr