Further support for aneuploidy tolerance in wild yeast and effects of dosage compensation on gene copy-number evolution

Abstract
Article and author information
Metrics

Abstract

In Hose et al., we performed a genome-sequencing survey and reported that aneuploidy was frequently observed in wild strains of S. cerevisiae. We also profiled transcriptome abundance in naturally aneuploid isolates and found that 10-30% of amplified genes, depending on the strain and affected chromosome, show lower-than-expected expression compared to gene copy number. We argued that this gene group is enriched for genes subject to one or more modes of dosage compensation, where mRNA abundance is decreased in response to higher dosage of that gene. A recent manuscript by Torres et al. refutes our prior work. Here we provide a response to Torres et al., along with additional analysis and controls to support our original conclusions. We maintain that aneuploidy is well tolerated in the wild strains of S. cerevisiae that we studied and that the group of genes enriched for those subject to dosage compensation show unique evolutionary signatures.

Article and author information

Author details

Audrey P Gasch

Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States

For correspondence
agasch@wisc.edu

Competing interests
The authors declare that no competing interests exist.
James Hose

Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States

Competing interests
The authors declare that no competing interests exist.
Michael A Newton

Genome Center of Wisconsin, University of Wisconsin-Madison, Madison, United States

Competing interests
The authors declare that no competing interests exist.
Maria Sardi

Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States

Competing interests
The authors declare that no competing interests exist.
Mun Yong

Laboratory of Genetics, University of Wisconsin-Madison, Madison, United States

Competing interests
The authors declare that no competing interests exist.
Zhishi Wang

Department of Statistics, University of Wisconsin-Madison, Madison, United States

Competing interests
The authors declare that no competing interests exist.

Copyright

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.