Content area

Abstract

Rapid evolution via small shifts in allele frequencies at thousands of loci are a long-standing neo-Darwinian prediction but are hard to characterize in the wild. European ash tree (Fraxinus excelsior) populations have recently come under strong selection by the invasive fungal pathogen Hymenoscyphus fraxineus. Using genomic prediction models based on field trial phenotypes and 7,985 loci, we show a shift in genomically estimated breeding values in an ancient woodland, between adult trees established before the epidemic started and juvenile trees established since. Using simulations, we estimate that natural selection has eliminated 31% of the juvenile population. Thus, we document a highly polygenic heritable micro-evolutionary adaptive change over a single generation in the wild.

Competing Interest Statement

The authors have declared no competing interest.

Footnotes

* Added new analyses and UAV data

* https://www.ebi.ac.uk/ena/browser/view/PRJEB44697

* https://github.com/CareyMetheringham/MardenPark

* https://doi.org/10.5281/zenodo.10808942

Details

1009240
Taxonomic term
Title
Rapid polygenic adaptation in a wild population of ash trees under a novel fungal epidemic
Publication title
bioRxiv; Cold Spring Harbor
Publication year
2025
Publication date
Jan 13, 2025
Section
New Results
Publisher
Cold Spring Harbor Laboratory Press
Source
BioRxiv
Place of publication
Cold Spring Harbor
Country of publication
United States
University/institution
Cold Spring Harbor Laboratory Press
Publication subject
ISSN
2692-8205
Source type
Working Paper
Language of publication
English
Document type
Working Paper
Publication history
 
 
Milestone dates
2022-08-01 (Version 1); 2022-09-14 (Version 2); 2022-10-17 (Version 3)
ProQuest document ID
2696968045
Document URL
https://www.proquest.com/working-papers/rapid-polygenic-adaptation-wild-population-ash/docview/2696968045/se-2?accountid=208611
Copyright
© 2025. This article is published under http://creativecommons.org/licenses/by-nc-nd/4.0/ (“the License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2025-01-14
Database
ProQuest One Academic