A Pan-Draft Metabolic Model Reflects Evolutionary Diversity across 332 Yeast Species
Journal article, 2022

Yeasts are increasingly employed in synthetic biology as chassis strains, including conventional and non-conventional species. It is still unclear how genomic evolution determines metabolic diversity among various yeast species and strains. In this study, we constructed draft GEMs for 332 yeast species using two alternative procedures from the toolbox RAVEN v 2.0. We found that draft GEMs could reflect the difference in yeast metabolic potentials, and therefore, could be utilized to probe the evolutionary trend of metabolism among 332 yeast species. We created a pan-draft metabolic model to account for the metabolic capacity of every sequenced yeast species by merging all draft GEMs. Further analysis showed that the pan-reactome of yeast has a “closed” property, which confirmed the great conservatism that exists in yeast metabolic evolution. Lastly, the quantitative correlations among trait similarity, evolutionary distances, genotype, and model similarity were thoroughly investigated. The results suggest that the evolutionary distance and genotype, to some extent, determine model similarity, but not trait similarity, indicating that multiple mechanisms shape yeast trait evolution. A large-scale reconstruction and integrative analysis of yeast draft GEMs would be a valuable resource to probe the evolutionary mechanism behind yeast trait variety and to further refine the existing yeast species-specific GEMs for the community.

draft metabolic model

metabolic evolution

yeast species

trait diversity

Author

Hongzhong Lu

State Key Laboratory of Microbial Metabolism

Eduard Kerkhoven

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Jens B Nielsen

BioInnovation Institute

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

Biomolecules

2218-273X (eISSN)

Vol. 12 11 1632

Subject Categories

Evolutionary Biology

Botany

Bioinformatics (Computational Biology)

DOI

10.3390/biom12111632

PubMed

36358981

More information

Latest update

10/25/2023