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

Aggregate trait evolvability and macroevolution in two sister species of the bryozoan Stylopoma

View ORCID ProfileSarah Leventhal, Sarah Jamison-Todd, View ORCID ProfileCarl Simpson
doi: https://doi.org/10.1101/2021.12.09.471970
Sarah Leventhal
1University of Colorado Museum of Natural History and Department of Geological Sciences, University of Colorado, Boulder 265 UCB Boulder, CO 80309
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Sarah Leventhal
  • For correspondence: sarah.leventhal@colorado.edu
Sarah Jamison-Todd
2University College London, Earth Sciences, 5 Gower Place, London, WC1E 6BS
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carl Simpson
1University of Colorado Museum of Natural History and Department of Geological Sciences, University of Colorado, Boulder 265 UCB Boulder, CO 80309
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Carl Simpson
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

The study of trait evolution in modular animals is more complicated than that in solitary animals, because a single genotype of a modular colony can express an enormous range of phenotypic variation. Furthermore, traits can occur either at the module level or at the colony level. However, it is unclear how the traits at the colony level evolve. We test whether colony-level aggregate traits, defined as the summary statistics of a phenotypic distribution, can evolve. To quantify this evolutionary potential, we use parent-offspring pairs in two sister species of the bryozoan Stylopoma, grown and bred in a common garden breeding experiment. We find that the medians of phenotypic distributions are evolvable between generations of colonies. We also find that the structure of this evolutionary potential differs between these two species. Ancestral species align more closely with the direction of species divergence than the descendent species. This result indicates that aggregate trait evolvability can itself evolve.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

  • email: sarah.leventhal{at}colorado.edu

  • Figure 1 has been revised and a new figure has been added (now Figure 2). The text has been revised to introduce bryozoans, aggregate traits, and evolvability more clearly.

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-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted November 18, 2022.
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.
Aggregate trait evolvability and macroevolution in two sister species of the bryozoan Stylopoma
(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
Aggregate trait evolvability and macroevolution in two sister species of the bryozoan Stylopoma
Sarah Leventhal, Sarah Jamison-Todd, Carl Simpson
bioRxiv 2021.12.09.471970; doi: https://doi.org/10.1101/2021.12.09.471970
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Aggregate trait evolvability and macroevolution in two sister species of the bryozoan Stylopoma
Sarah Leventhal, Sarah Jamison-Todd, Carl Simpson
bioRxiv 2021.12.09.471970; doi: https://doi.org/10.1101/2021.12.09.471970

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 (4234)
  • Biochemistry (9129)
  • Bioengineering (6782)
  • Bioinformatics (23999)
  • Biophysics (12125)
  • Cancer Biology (9534)
  • Cell Biology (13776)
  • Clinical Trials (138)
  • Developmental Biology (7635)
  • Ecology (11699)
  • Epidemiology (2066)
  • Evolutionary Biology (15509)
  • Genetics (10644)
  • Genomics (14324)
  • Immunology (9480)
  • Microbiology (22836)
  • Molecular Biology (9089)
  • Neuroscience (48987)
  • Paleontology (355)
  • Pathology (1482)
  • Pharmacology and Toxicology (2570)
  • Physiology (3845)
  • Plant Biology (8331)
  • Scientific Communication and Education (1471)
  • Synthetic Biology (2296)
  • Systems Biology (6190)
  • Zoology (1301)