Characterization of differentiated quiescent and non-quiescent cells in yeast stationary-phase cultures.

 

Anthony D. Aragon*, Angelina L. Rodriguez*, Osorio Meirelles, Sushmita Roy, George S. Davidson§, Phillip H. Tapia*, Chris Allen, Ray Joe*, Don Benn*, and Margaret Werner-Washburne*

 

Departments of *Biology, Math and Statistics, Computer Science, University of New Mexico, Albuquerque, NM 87131; §Sandia National Laboratories, Albuquerque NM 87185, and Department of Cytometry, University of New Mexico Health Sciences Center, Albuquerque NM 87131

 

Abstract                                                                                                                                           

 

Cells in glucose-limited Saccharomyces cerevisiae cultures differentiate into quiescent (Q) and non-quiescent (NQ) fractions before entering stationary phase.  To understand this differentiation, Q and NQ cells from 101 deletion-mutant strains were tested for viability and reproductive capacity.  Eleven mutants that affected one or both phenotypes in Q or NQ fractions were identified.  NQ fractions exhibit a high level of petite colonies and 9 mutants affecting this phenotype were identified.  Microarray analysis revealed over 1300 mRNAs distinguished Q from NQ fractions.  Q cell-specific mRNAs encode proteins involved in membrane maintenance, oxidative stress response, and signal transduction.  NQ-cell mRNAs, consistent with apoptosis in these cells, encode proteins involved in Ty-element transposition and DNA recombination.  More than 2000 protease-labile mRNAs were identified only in Q cells, consistent with these cells being physiologically poised to respond to environmental changes.  Our results indicate that Q and NQ cells differentiate significantly, with Q cells providing genomic stability and NQ cells providing nutrients to Q cells as well as a regular source of genetic diversity through mutation and transposition.  These studies are relevant to chronological aging, cell-cycle, and genome-evolution and provide insight into complex responses that even simple organisms have to starvation.

 

Protocols

 

*      RNA isolation (.doc)

*      cDNA Labeling (.doc)

*      Hybridization (.doc)

 

Mutants

 

*      List of mutants used in this study (.txt)

*      Table of mutants with variable phenotypes (.doc)

*      Variability of atp17 and atp18 (.ppt)

*      Pictures of mutant Percoll separations (.ppt)

 

Experimental Reproducibility

           

*      Correlation Plots (.ppt)

 

Gene lists

           

*      Aging genes (.txt)

*      Quiescent gene list (.txt)

*      Quiescent GO output (.xls)

*      Non-quiescent gene list (.txt)

*      Non-quiescent GO output (.xls)

*      Quiescent protease gene list (.txt)

*      Quiescent protease GO output (.xls)

*      Non-quiescent protease gene list (.txt)

*      Non-quiescent protease GO output (.xls)

*      Stationary phase protease gene list (.txt)

*      Stationary phase protease GO output (.xls)

 

Flow cytometry

           

*      Controls (.ppt)

 

Microarrays

           

*      GEO accession number GSE8684

*      Wild-type data set (.txt)

*      Parental data set (.txt)

*      Mutant data set (.txt)

*      Mutant repeat data set (.txt)

*      Protease data set (.txt)

           

 

Corresponding author

 

Maggie Werner-Washbrune

Biology Department

University of New Mexico

Phone             505-277-9339

Fax                  505-277-0304

E-mail            maggieww@unm.edu