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Roles and Future Opportunities for Genomic Architecture in Understanding Repeated Evolution

  • Riley Kellermeyer
  • , David Alvarez-Ponce
  • , Javier Arsuaga
  • , Frédéric J.J. Chain
  • , Megan Y. Dennis
  • , Mark J. Margres
  • , Richard P. Meisel
  • , Wynn K. Meyer
  • , Tae Seok Moon
  • , Keriayn N. Smith
  • , Thomas D. Wolfe
  • , Coral Y. Zhou
  • , Suzanne E. Mcgaugh

Research output: Contribution to journalArticlepeer-review

Abstract

The trajectory of evolution is impacted by molecular constraints and biases that are difficult to validate experimentally. Repeated evolution of similar traits across the Tree of Life serves as a natural experiment to discern common factors that drive the evolution of these traits. The architecture of genomes in one-dimensional, two-dimensional, and three-dimensional space is emerging as a potential factor that may predict repeated phenotypic evolution. For example, chromatin packaging and the 3D organization of the genome within the nucleus can impose evolutionary constraints by predisposing genomic regions for particular types of mutations, while the evolution of genome sequence can also drive reorganization of chromatin. With the explosion of new library preparation and sequencing technologies that are accessible for non-model species, we envision a great opportunity to understand how genome architecture across phylogenetically disparate species may impact repeated phenotypic evolution. We provide examples of the known and potential avenues of phenotypic convergence at each level of genome architecture and how integration of these data can provide unique insights into the constraints, trajectory, and predictability of evolution.

Original languageEnglish (US)
Pages (from-to)43-62
Number of pages20
JournalIntegrative and Comparative Biology
Volume65
Issue number1
DOIs
StatePublished - Jul 1 2025

Bibliographical note

Publisher Copyright:
© The Author(s) 2025.

PubMed: MeSH publication types

  • Journal Article
  • Review
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

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