The expression of glycerol facilitators from various yeast species improves growth on glycerol of Saccharomyces cerevisiae

Metabolic Engineering Communications
Mathias KleinElke Nevoigt

Abstract

Glycerol is an abundant by-product during biodiesel production and additionally has several assets compared to sugars when used as a carbon source for growing microorganisms in the context of biotechnological applications. However, most strains of the platform production organism Saccharomyces cerevisiae grow poorly in synthetic glycerol medium. It has been hypothesized that the uptake of glycerol could be a major bottleneck for the utilization of glycerol in S. cerevisiae. This species exclusively relies on an active transport system for glycerol uptake. This work demonstrates that the expression of predicted glycerol facilitators (Fps1 homologues) from superior glycerol-utilizing yeast species such as Pachysolen tannophilus, Komagataella pastoris, Yarrowia lipolytica and Cyberlindnera jadinii significantly improves the growth performance on glycerol of the previously selected glycerol-consuming S. cerevisiae wild-type strain (CBS 6412-13A). The maximum specific growth rate increased from 0.13 up to 0.18 h-1 and a biomass yield coefficient of 0.56 gDW/gglycerol was observed. These results pave the way for exploiting the assets of glycerol in the production of fuels, chemicals and pharmaceuticals based on baker's yeast.

Citations

Nov 24, 2016·Environmental Microbiology·Mathias KleinElke Nevoigt
Dec 29, 2017·Biotechnology Journal·Johannes HemmerichMarco Oldiges
Jan 28, 2021·FEMS Microbiology Letters·Gennaro Agrimi, Matthias G Steiger
Dec 15, 2020·FEMS Microbiology Reviews·Justyna Ruchala, Andriy A Sibirny
Feb 13, 2021·Applied Microbiology and Biotechnology·Silke ClausInge Noëlle Adrienne Van Bogaert
Jan 14, 2021·Journal of Fungi·Maria Sousa-SilvaIsabel Soares-Silva
Mar 22, 2020·Computer Methods and Programs in Biomedicine·Abhijit DasguptaRajat K De
May 25, 2021·Plant Cell Reports·Sakshi BansalHasthi Ram
Sep 16, 2021·Applied and Environmental Microbiology·Sadat Mohamed Rezk Khattab, Takashi Watanabe

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Datasets Mentioned

BETA
JQ481632

Methods Mentioned

BETA
Profiler
PCRs
PCR

Software Mentioned

Growth Profiler

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