Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

The fitness cost of mismatch repair mutators in Saccharomyces cerevisiae: partitioning the mutational load

Benjamin Galeota-Sprung, Breanna Guindon, Paul Sniegowski
doi: https://doi.org/10.1101/639765
Benjamin Galeota-Sprung
1University of Pennsylvania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: bsprung@gmail.com
Breanna Guindon
1University of Pennsylvania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Paul Sniegowski
1University of Pennsylvania
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Mutational load is the depression in a population’s mean fitness that results from the continual influx of deleterious mutations. Here, we directly estimate the mutational load in a population of haploid Saccharomyces cerevisiae that are deficient for mismatch repair. We partition the load in haploids into two components. To estimate the load due to nonlethal mutations, we measure the competitive fitness of hundreds of randomly selected clones from both mismatch repair-deficient and - proficient populations. Computation of the mean clone fitness for the mismatch repair-deficient strain permits an estimation of the nonlethal load, and the histogram of fitness provides an interesting visualization of a loaded population. In a separate experiment, in order to estimate the load due to lethal mutations (i.e. the lethal mutation rate), we manipulate thousands of individual pairs of mother and daughter cells and track their fates. These two approaches yield point estimates for the two contributors to load, and the addition of these estimates is nearly equal to the separately measured short-term competitive fitness deficit for the mismatch repair-deficient strain. This correspondence suggests that there is no need to invoke direct fitness effects to explain the fitness difference between mismatch repair-deficient and - proficient strains. Assays in diploids are consistent with deleterious mutations in diploids tending towards recessivity. These results enhance our understanding of mutational load, a central population genetics concept, and we discuss their implications for the evolution of mutation rates.

Footnotes

  • This is the author's revised version after reviewer comments; I have waited 6 months after publication to submit this revision in accordance with Heredity's requirements.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted March 16, 2020.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
The fitness cost of mismatch repair mutators in Saccharomyces cerevisiae: partitioning the mutational load
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
The fitness cost of mismatch repair mutators in Saccharomyces cerevisiae: partitioning the mutational load
Benjamin Galeota-Sprung, Breanna Guindon, Paul Sniegowski
bioRxiv 639765; doi: https://doi.org/10.1101/639765
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The fitness cost of mismatch repair mutators in Saccharomyces cerevisiae: partitioning the mutational load
Benjamin Galeota-Sprung, Breanna Guindon, Paul Sniegowski
bioRxiv 639765; doi: https://doi.org/10.1101/639765

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Evolutionary Biology
Subject Areas
All Articles
  • Animal Behavior and Cognition (4238)
  • Biochemistry (9160)
  • Bioengineering (6797)
  • Bioinformatics (24054)
  • Biophysics (12149)
  • Cancer Biology (9564)
  • Cell Biology (13821)
  • Clinical Trials (138)
  • Developmental Biology (7654)
  • Ecology (11733)
  • Epidemiology (2066)
  • Evolutionary Biology (15536)
  • Genetics (10665)
  • Genomics (14353)
  • Immunology (9504)
  • Microbiology (22887)
  • Molecular Biology (9121)
  • Neuroscience (49094)
  • Paleontology (357)
  • Pathology (1487)
  • Pharmacology and Toxicology (2579)
  • Physiology (3851)
  • Plant Biology (8349)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2300)
  • Systems Biology (6204)
  • Zoology (1302)