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

Evolutionary quantitative genomics of Populus trichocarpa

Ilga Porth, Jaroslav Klápště, Athena D. McKown, Jonathan La Mantia, Robert D. Guy, Pär K. Ingvarsson, Richard Hamelin, Shawn D. Mansfield, Jüergen Ehlting, Carl J. Douglas, Yousry A. El-Kassaby
doi: https://doi.org/10.1101/026021
Ilga Porth
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jaroslav Klápště
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
2Department of Genetics and Physiology of Forest Trees, Czech University of Life Sciences, Prague, 165 21, Czech Republic
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Athena D. McKown
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jonathan La Mantia
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Robert D. Guy
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Pär K. Ingvarsson
3Department of Ecology and Environmental Science, Umeå University, Umeå, SE-901 87, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard Hamelin
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Shawn D. Mansfield
4Department of Wood Science, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Jüergen Ehlting
5Department of Biology and Centre for Forest Biology, University of Victoria, Victoria, BC V8W 3N5, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Carl J. Douglas
6Department of Botany, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Yousry A. El-Kassaby
1Department of Forest and Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: y.elkassaby@ubc.ca
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Preview PDF
Loading

Abstract

Forest trees generally show high levels of local adaptation and efforts focusing on understanding adaptation to climate will be crucial for species survival and management.

Merging quantitative genetics and population genomics, we studied the molecular basis of climate adaptation in 433 Populus trichocarpa (black cottonwood) genotypes originating across western North America. Variation in 74 field-assessed traits (growth, ecophysiology, phenology, leaf stomata, wood, and disease resistance) was investigated for signatures of selection (comparing QST-FST) using clustering of individuals by climate of origin. 29,354 SNPs were investigated employing three different outlier detection methods.

Narrow-sense QST for 53% of distinct field QST traits was significantly divergent from expectations of neutrality (indicating adaptive trait variation); 2,855 SNPs showed signals of diversifying selection and of these, 118 SNPs (within 81 genes) were associated with adaptive traits (based on significant QST). Many SNPs were putatively pleiotropic for functionally uncorrelated adaptive traits, such as autumn phenology, height, and disease resistance.

Evolutionary quantitative genomics in P. trichocarpa provides an enhanced understanding regarding the molecular basis of climate-driven selection in forest trees. We highlight that important loci underlying adaptive trait variation also show relationship to climate of origin.

Author summary Comparisons between population differentiation on the basis of quantitative traits and neutral genetic markers inform about the importance of natural selection, genetic drift and gene flow for local adaptation of populations. Here, we address fundamental questions regarding the molecular basis of adaptation in undomesticated forest tree populations to past climatic environments by employing an integrative quantitative genetics and landscape genomics approach. Marker-inferred relatedness was estimated to obtain the narrow-sense estimate of population differentiation in wild populations. We analyzed an unstructured population of common garden grown Populus trichocarpa individuals to uncover different extents of variation for a suite of field traits, wood quality and pathogen resistance with temperature and precipitation. We consider our approach the most comprehensive, as it uncovers the molecular mechanisms of adaptation using multiple methods and tests. We provide a detailed outline of the required analyses for studying adaptation to the environment in a population genomics context to better understand the species’ potential adaptive capacity to future climatic scenarios.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.
Back to top
PreviousNext
Posted September 04, 2015.
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 quantitative genomics of Populus trichocarpa
(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 quantitative genomics of Populus trichocarpa
Ilga Porth, Jaroslav Klápště, Athena D. McKown, Jonathan La Mantia, Robert D. Guy, Pär K. Ingvarsson, Richard Hamelin, Shawn D. Mansfield, Jüergen Ehlting, Carl J. Douglas, Yousry A. El-Kassaby
bioRxiv 026021; doi: https://doi.org/10.1101/026021
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Evolutionary quantitative genomics of Populus trichocarpa
Ilga Porth, Jaroslav Klápště, Athena D. McKown, Jonathan La Mantia, Robert D. Guy, Pär K. Ingvarsson, Richard Hamelin, Shawn D. Mansfield, Jüergen Ehlting, Carl J. Douglas, Yousry A. El-Kassaby
bioRxiv 026021; doi: https://doi.org/10.1101/026021

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 (4241)
  • Biochemistry (9173)
  • Bioengineering (6806)
  • Bioinformatics (24064)
  • Biophysics (12156)
  • Cancer Biology (9565)
  • Cell Biology (13825)
  • Clinical Trials (138)
  • Developmental Biology (7658)
  • Ecology (11737)
  • Epidemiology (2066)
  • Evolutionary Biology (15543)
  • Genetics (10672)
  • Genomics (14362)
  • Immunology (9513)
  • Microbiology (22906)
  • Molecular Biology (9129)
  • Neuroscience (49127)
  • Paleontology (358)
  • Pathology (1487)
  • Pharmacology and Toxicology (2584)
  • Physiology (3851)
  • Plant Biology (8351)
  • Scientific Communication and Education (1473)
  • Synthetic Biology (2301)
  • Systems Biology (6206)
  • Zoology (1303)