Computationally driven, quantitative experiments discover genes required for mitochondrial biogenesis

David C. Hess, Chadl Myers, Curtis Huttenhower, Matthew A. Hibbs, Alicia P. Hayes, Jadine Paw, John J. Clore, Rosa M. Mendoza, Bryan San Luis, Corey Nislow, Guri Giaever, Michael Costanzo, Olga G. Troyanskaya, Amy A. Caudy

Research output: Contribution to journalArticlepeer-review

120 Scopus citations


Mitochondria are central to many cellular processes including respiration, ion homeostasis, and apoptosis. Using computational predictions combined with traditional quantitative experiments, we have identified 100 proteins whose deficiency alters mitochondrial biogenesis and inheritance in Saccharomyces cerevisiae. In addition, we used computational predictions to perform targeted double-mutant analysis detecting another nine genes with synthetic defects in mitochondrial biogenesis. This represents an increase of about 25% over previously known participants. Nearly half of these newly characterized proteins are conserved in mammals, including several orthologs known to be involved in human disease. Mutations in many of these genes demonstrate statistically significant mitochondrial transmission phenotypes more subtle than could be detected by traditional genetic screens or high-throughput techniques, and 47 have not been previously localized to mitochondria. We further characterized a subset of these genes using growth profiling and dual immunofluorescence, which identified genes specifically required for aerobic respiration and an uncharacterized cytoplasmic protein required for normal mitochondrial motility. Our results demonstrate that by leveraging computational analysis to direct quantitative experimental assays, we have characterized mutants with subtle mitochondrial defects whose phenotypes were undetected by high-throughput methods. Copyright:

Original languageEnglish (US)
JournalPLoS genetics
Issue number3
StatePublished - Mar 2009

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)
  • Genetics
  • Ecology, Evolution, Behavior and Systematics
  • Molecular Biology
  • Cancer Research


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