Genome-scale modeling of yeast metabolism: retrospectives and perspectives
Reviewartikel, 2022

Yeasts have been widely used for production of bread, beer and wine, as well as for production of bioethanol, but they have also been designed as cell factories to produce various chemicals, advanced biofuels and recombinant proteins. To systematically understand and rationally engineer yeast metabolism, genome-scale metabolic models (GEMs) have been reconstructed for the model yeast Saccharomyces cerevisiae and nonconventional yeasts. Here, we review the historical development of yeast GEMs together with their recent applications, including metabolic flux prediction, cell factory design, culture condition optimization and multi-yeast comparative analysis. Furthermore, we present an emerging effort, namely the integration of proteome constraints into yeast GEMs, resulting in models with improved performance. At last, we discuss challenges and perspectives on the development of yeast GEMs and the integration of proteome constraints.

proteome constraints

genome-scale metabolic model

constraint-based modeling

metabolic engineering

Författare

Yu Chen

Chalmers, Biologi och bioteknik, Systembiologi

Feiran Li

Chalmers, Biologi och bioteknik, Systembiologi

Jens B Nielsen

BioInnovation Institute

Chalmers, Biologi och bioteknik, Systembiologi

FEMS Yeast Research

1567-1356 (ISSN) 1567-1364 (eISSN)

Vol. 22 1 foac003

Bioinformatics Services for Data-Driven Design of Cell Factories and Communities (DD-DeCaF)

Europeiska kommissionen (EU) (EC/H2020/686070), 2016-03-01 -- 2020-02-28.

Ämneskategorier

Produktionsteknik, arbetsvetenskap och ergonomi

Programvaruteknik

Annan samhällsbyggnadsteknik

DOI

10.1093/femsyr/foac003

PubMed

35094064

Mer information

Senast uppdaterat

2022-03-24