Assessing compensation for loss of vacuolar function in Saccharomyces cerevisiae

Pamela Marshall, Nicholas Netzel, Jillian Wisby Guintchev

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

We analyzed how Saccharomyces cerevisiae cells compensate for the lack of a functional vacuole, an acidic membrane-bound degradative and ion storage compartment. We hypothesized that cells lacking a functional vacuole would compensate for the loss of the functions of the vacuole by altering gene expression and (or) metabolic flux. We used gene expression profiling and Biolog phenotype microarray analysis to determine the compensatory mechanisms of cells lacking vacuolar function. In steady state, vps33 and vps41 cells changed the transcriptional profile of some genes, but no complete pathways were upregulated or downregulated. We treated vps41 cells with calcium to tease out cellular compensation for loss of vacuole function under ionic stress; however, changes in gene expression were not utilized to compensate for loss of vacuole function under stress either, as genes whose transcriptional profiles were changed did not function together in any one cellular process. Phenotype microarray analysis indicated that logarithmically growing vps33 or vps41 cells did not seem to compensate for loss of vacuolar function but instead demonstrated additional pleiotropic phenotypes due to the function of the vacuole. Under rich media conditions, yeast utilize the vacuole to regulate stress, ion response, and peptide degradation. However, loss of the vacuole does not lead to observable compensation mechanisms.

Original languageEnglish (US)
Pages (from-to)132-144
Number of pages13
JournalCanadian journal of microbiology
Volume58
Issue number2
DOIs
StatePublished - Feb 2012

Keywords

  • DNA microarray
  • Phenotype microarray
  • Saccharomyces cerevisiae
  • Vacuole
  • Vps mutants

ASJC Scopus subject areas

  • Microbiology
  • Immunology
  • Applied Microbiology and Biotechnology
  • Molecular Biology
  • Genetics

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