Published April 9, 2024 | Version v1
Dataset Open

Data from: The limit to evolutionary rescue depends on ploidy in yeast exposed to nystatin

  • 1. ROR icon University of Nottingham
  • 2. ROR icon University of Exeter
  • 3. ROR icon University of British Columbia

Description

Data package about haploid vs diploid adaptation to nystatin in yeast

This package contains files and scripts related to the publication "The limit to evolutionary rescue depends on ploidy in yeast exposed to nystatin". Raw data and analyses are included.

Abstract

The number of copies of each chromosome, or ploidy, of an organism is a major genomic factor affecting adaptation. We set out to determine how ploidy can impact the outcome of evolution, as well as the likelihood of evolutionary rescue, using short-term experiments with yeast (Saccharomyces cerevisiae) in a high concentration of the fungicide nystatin. In similar experiments using haploid yeast, the genetic changes underlying evolutionary rescue were highly repeatable, with all rescued lines containing a single mutation in the ergosterol biosynthetic pathway. All of these beneficial mutations were recessive, which led to the expectation that diploids would find alternative genetic routes to adaptation. To test this, we repeated the experiment using both haploid and diploid strains and found that diploid populations did not evolve resistance. Although diploids are able to adapt at the same rate as haploids to a lower, not fully inhibitory, concentration of nystatin, the present study suggests that diploids are limited in their ability to adapt to an inhibitory concentration of nystatin, while haploids may undergo evolutionary rescue. These results demonstrate that ploidy can tip the balance between adaptation and extinction when organisms face an extreme environmental change.

Files

ZenodoSubmission.zip

Files (6.0 MB)

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md5:e96cb05e683d58e03c261ddb1a22da3d
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Additional details

Funding

Biotechnology and Biological Sciences Research Council
Discovery Fellowship BB/W009951/1
Natural Sciences and Engineering Research Council
Discovery grant RGPIN- 2022-03726
Natural Sciences and Engineering Research Council
Discovery grant #2016-03711
University of British Columbia