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

The evolution of the age of onset of resistance to infectious disease

View ORCID ProfileLydia J. Buckingham, View ORCID ProfileBen Ashby
doi: https://doi.org/10.1101/2022.11.01.514666
Lydia J. Buckingham
1Department of Mathematical Sciences, University of Bath, Bath, UK
2Milner Centre for Evolution, University of Bath, Bath, UK
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Lydia J. Buckingham
  • For correspondence: ljb74@bath.ac.uk
Ben Ashby
1Department of Mathematical Sciences, University of Bath, Bath, UK
2Milner Centre for Evolution, University of Bath, Bath, UK
3Department of Mathematics, Simon Fraser University, Burnaby, BC, Canada
4Pacific Institute on Pathogens, Pandemics and Society, Burnaby, BC, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ben Ashby
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Data/Code
  • Preview PDF
Loading

Abstract

Many organisms experience an increase in disease resistance as they age but the time of life at which this change occurs varies. Increases in resistance are partially due to prior exposure and physiological constraints but these cannot fully explain the observed patterns of age-related resistance. An alternative explanation is that developing resistance at an earlier age incurs costs to other life-history traits. Here, we explore how trade-offs with host reproduction or mortality affect the evolution of the onset of resistance, depending on when during the host’s life-cycle the costs are paid (only when resistance is developing, only when resistant or throughout the lifetime). We find that the timing of the costs is crucial to determining evolutionary outcomes, often making the difference between resistance developing at an early or late age. Accurate modelling of biological systems therefore relies on knowing not only the shape of trade-offs but also when they take effect. We also find that the evolution of the rate of onset of resistance can result in evolutionary branching. This provides an alternative, possible evolutionary history of populations which are dimorphic in disease resistance, where the rate of onset of resistance has diversified rather than the level of resistance.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • Funding acknowledgements, Ben Ashby is supported by the Natural Environment Research Council (grant nos. NE/N014979/1 and NE/V003909/1). This research was generously supported by a Milner Scholarship PhD grant to Lydia Buckingham from The Evolution Education Trust. We acknowledge the support of the Natural Sciences and Engineering Research Council of Canada (NSERC). Nous remercions le Conseil de recherches en sciences naturelles et en génie du Canada (CRSNG) de son soutien. PIPPS receives funding from the BC Ministry of Health.

  • Minor changes to wording and equations in the main text.

  • https://github.com/ecoevotheory/Buckingham_and_Ashby_2022b

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 March 07, 2023.
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.
The evolution of the age of onset of resistance to infectious disease
(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 evolution of the age of onset of resistance to infectious disease
Lydia J. Buckingham, Ben Ashby
bioRxiv 2022.11.01.514666; doi: https://doi.org/10.1101/2022.11.01.514666
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
The evolution of the age of onset of resistance to infectious disease
Lydia J. Buckingham, Ben Ashby
bioRxiv 2022.11.01.514666; doi: https://doi.org/10.1101/2022.11.01.514666

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 (4854)
  • Biochemistry (10794)
  • Bioengineering (8045)
  • Bioinformatics (27306)
  • Biophysics (13987)
  • Cancer Biology (11127)
  • Cell Biology (16056)
  • Clinical Trials (138)
  • Developmental Biology (8783)
  • Ecology (13292)
  • Epidemiology (2067)
  • Evolutionary Biology (17363)
  • Genetics (11688)
  • Genomics (15923)
  • Immunology (11033)
  • Microbiology (26088)
  • Molecular Biology (10646)
  • Neuroscience (56557)
  • Paleontology (418)
  • Pathology (1732)
  • Pharmacology and Toxicology (3005)
  • Physiology (4547)
  • Plant Biology (9630)
  • Scientific Communication and Education (1615)
  • Synthetic Biology (2688)
  • Systems Biology (6978)
  • Zoology (1510)