Systematic analysis of nuclear gene function in respiratory growth and expression of the mitochondrial genome in S. cerevisiae

Microb Cell. 2020 Jun 30;7(9):234-249. doi: 10.15698/mic2020.09.729.

Abstract

The production of metabolic energy in form of ATP by oxidative phosphorylation depends on the coordinated action of hundreds of nuclear-encoded mitochondrial proteins and a handful of proteins encoded by the mitochondrial genome (mtDNA). We used the yeast Saccharomyces cerevisiae as a model system to systematically identify the genes contributing to this process. Integration of genome-wide high-throughput growth assays with previously published large data sets allowed us to define with high confidence a set of 254 nuclear genes that are indispensable for respiratory growth. Next, we induced loss of mtDNA in the yeast deletion collection by growth on ethidium bromide-containing medium and identified twelve genes that are essential for viability in the absence of mtDNA (i.e. petite-negative). Replenishment of mtDNA by cytoduction showed that respiratory-deficient phenotypes are highly variable in many yeast mutants. Using a mitochondrial genome carrying a selectable marker, ARG8 m , we screened for mutants that are specifically defective in maintenance of mtDNA and mitochondrial protein synthesis. We found that up to 176 nuclear genes are required for expression of mitochondria-encoded proteins during fermentative growth. Taken together, our data provide a comprehensive picture of the molecular processes that are required for respiratory metabolism in a simple eukaryotic cell.

Keywords: mitochondria; mitochondrial DNA; oxidative phosphorylation; petite mutant; yeast.

Grants and funding

We thank Tom Fox, Nathalie Bonnefoy, and Alexander Kastaniotis for providing strains and the members of our lab for fruitful discussions and comments on the manuscript. This work was supported by Deutsche Forschungsgemeinschaft through grant WE 2714/6-1 and Elitenetzwerk Bayern through the Biological Physics program. The publication was funded by Deutsche Forschungsgemeinschaft and the University of Bayreuth in the funding programme Open Access Publishing.