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

Evolutionary dynamics of neutral phenotypes under DNA substitution models

Shadi Zabad, View ORCID ProfileAlan M Moses
doi: https://doi.org/10.1101/2020.10.26.355438
Shadi Zabad
1Departments of Computer Science, University of Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alan M Moses
1Departments of Computer Science, University of Toronto, Canada
2Cell & Systems Biology, University of Toronto, Canada
3Ecology and Evolutionary Biology, University of Toronto, Canada
4Centre for Analysis of Genome Evolution and Function, University of Toronto, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alan M Moses
  • For correspondence: alan.moses@utoronto.ca
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

We study the evolution of quantitative molecular traits in the absence of selection. Using a simple theory based on Felsenstein’s 1981 DNA substitution model, we predict a linear restoring force on the mean of an additive phenotype. Remarkably, the mean dynamics are independent of the effect sizes and genotype and are similar to the widely-used OU model for stabilizing selection. We confirm the predictions empirically using additive molecular phenotypes calculated from ancestral reconstructions of putatively unconstrained DNA sequences in primate genomes. We show that the OU model is favoured by inference software even when applied to GC content of unconstrained sequences or simulations of DNA evolution. We predict and confirm empirically that the dynamics of the variance are more complicated than those predicted by the OU model, and show that our results for the restoring force of mutation hold even for non-additive phenotypes, such as number of transcription factor binding sites, longest encoded peptide and folding propensity of the encoded peptide. Our results have implications for efforts to infer selection based on quantitative phenotype dynamics as well as to understand long-term trends in evolution of quantitative molecular traits.

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 October 26, 2020.
Download PDF
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.
Evolutionary dynamics of neutral phenotypes under DNA substitution models
(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
Evolutionary dynamics of neutral phenotypes under DNA substitution models
Shadi Zabad, Alan M Moses
bioRxiv 2020.10.26.355438; doi: https://doi.org/10.1101/2020.10.26.355438
Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
Citation Tools
Evolutionary dynamics of neutral phenotypes under DNA substitution models
Shadi Zabad, Alan M Moses
bioRxiv 2020.10.26.355438; doi: https://doi.org/10.1101/2020.10.26.355438

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 (2517)
  • Biochemistry (4964)
  • Bioengineering (3469)
  • Bioinformatics (15181)
  • Biophysics (6885)
  • Cancer Biology (5380)
  • Cell Biology (7711)
  • Clinical Trials (138)
  • Developmental Biology (4518)
  • Ecology (7135)
  • Epidemiology (2059)
  • Evolutionary Biology (10210)
  • Genetics (7497)
  • Genomics (9767)
  • Immunology (4822)
  • Microbiology (13179)
  • Molecular Biology (5129)
  • Neuroscience (29367)
  • Paleontology (203)
  • Pathology (835)
  • Pharmacology and Toxicology (1460)
  • Physiology (2129)
  • Plant Biology (4734)
  • Scientific Communication and Education (1008)
  • Synthetic Biology (1337)
  • Systems Biology (4002)
  • Zoology (768)