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

Mutualism-enhancing mutations dominate early adaptation in a microbial community

View ORCID ProfileSandeep Venkataram, Huan-Yu Kuo, View ORCID ProfileErik F. Y. Hom, View ORCID ProfileSergey Kryazhimskiy
doi: https://doi.org/10.1101/2021.07.07.451547
Sandeep Venkataram
1Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sandeep Venkataram
Huan-Yu Kuo
1Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093
2Department of Physics, University of California San Diego, La Jolla, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Erik F. Y. Hom
3Department of Biology and Center for Biodiversity and Conservation Research, University of Mississippi, University, MS 38677
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Erik F. Y. Hom
Sergey Kryazhimskiy
1Division of Biological Sciences, University of California San Diego, La Jolla, CA 92093
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sergey Kryazhimskiy
  • For correspondence: skryazhi@ucsd.edu
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Species interactions drive species evolution while evolution shapes these interactions. The resulting eco-evolutionary dynamics, their outcomes and their repeatability depend on how adaptive mutations available to community members affect fitness and ecologically relevant traits. However, the diversity of adaptive mutations available to community members is not well characterized, and we do not know how this diversity is affected by the ecological milieu. Here we use barcode lineage tracking to address this gap in a competitive mutualism between the yeast Saccharomyces cerevisiae and the alga Chlamydomonas reinhardtii. We find that yeast has access to many adaptive mutations with diverse ecological consequences, in particular, those that increase and reduce the yields of both species. The presence of alga does not change which mutations are adaptive in yeast (i.e., there is no fitness trade-off for yeast between growing alone or with alga), but rather shifts selection to favor yeast mutants that increase the yields of both species and make the mutualism stronger. Thus, in the presence of alga, we find that yeast repeatably evolves to become more cooperative, even though cooperativity is not directly favored by natural selection in our system. Our results demonstrate that ecological interactions not only alter the trajectory of evolution but also dictate its repeatability; in particular, weak mutualisms can repeatably evolve to become stronger.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • * Correction of various minor errors and improvement of statistical reporting

  • https://doi.org/10.6076/D14K5X

  • 1 This number is larger than 0.18 expected based on the yeast mutation rate, but the difference is not statistically significant (P = 0.08, t-test, expected µ = 0.18).

  • 2 This is confirmed by the fact that we find two mutations at driver loci in the neutral clones (see Figure S12 and Table S1).

  • 3 We have some support for this hypothesis. We tested whether mutants carrying the same mutation have more similar yeast and alga yields, r and K values than random mutants. We carried out four such tests for the 9 clones with chrIII-3n mutations, 5 clones with the chrIV-3n mutations, 3 clones with the chrIV-1n mutations, 3 clones with HEM2 mutations and 3 clones with HEM3 mutations. In all cases, clones carrying the same mutation had more similar phenotypes than random mutants, but in most cases the difference was not statistically significant, presumably due to lack of power.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
Back to top
PreviousNext
Posted January 25, 2022.
Download PDF

Supplementary Material

Data/Code
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.
Mutualism-enhancing mutations dominate early adaptation in a microbial community
(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
Mutualism-enhancing mutations dominate early adaptation in a microbial community
Sandeep Venkataram, Huan-Yu Kuo, Erik F. Y. Hom, Sergey Kryazhimskiy
bioRxiv 2021.07.07.451547; doi: https://doi.org/10.1101/2021.07.07.451547
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Mutualism-enhancing mutations dominate early adaptation in a microbial community
Sandeep Venkataram, Huan-Yu Kuo, Erik F. Y. Hom, Sergey Kryazhimskiy
bioRxiv 2021.07.07.451547; doi: https://doi.org/10.1101/2021.07.07.451547

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 (3514)
  • Biochemistry (7371)
  • Bioengineering (5347)
  • Bioinformatics (20328)
  • Biophysics (10048)
  • Cancer Biology (7781)
  • Cell Biology (11353)
  • Clinical Trials (138)
  • Developmental Biology (6454)
  • Ecology (9984)
  • Epidemiology (2065)
  • Evolutionary Biology (13359)
  • Genetics (9375)
  • Genomics (12614)
  • Immunology (7729)
  • Microbiology (19118)
  • Molecular Biology (7478)
  • Neuroscience (41163)
  • Paleontology (301)
  • Pathology (1235)
  • Pharmacology and Toxicology (2142)
  • Physiology (3183)
  • Plant Biology (6882)
  • Scientific Communication and Education (1276)
  • Synthetic Biology (1900)
  • Systems Biology (5328)
  • Zoology (1091)