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

Genome scan of landrace populations of the self-fertilizing crop species rice, collected across time, revealed climate changes’ selective footprints in the genes network regulating flowering time

Nour Ahmadi, Mamadou Billo Barry, Julien Frouin, View ORCID ProfileMiguel de Navascués, Mamadou Aminata Toure
doi: https://doi.org/10.1101/2022.07.29.502004
Nour Ahmadi
1CIRAD, UMR AGAP, TA-A 108/03, Avenue Agropolis, F-34398 Montpellier Cedex 5, France
2AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: nour.ahmadi@free.fr
Mamadou Billo Barry
3IRAG, Institut de Recherche Agronomique de Guinée, PB 1523, Conakry, Guinea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Julien Frouin
1CIRAD, UMR AGAP, TA-A 108/03, Avenue Agropolis, F-34398 Montpellier Cedex 5, France
2AGAP, Univ Montpellier, CIRAD, INRA, Montpellier SupAgro, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Miguel de Navascués
4CBGP, INRAE, CIRAD, IRD, Montpellier SupAgro, Univ Montpellier, Montpellier, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Miguel de Navascués
Mamadou Aminata Toure
3IRAG, Institut de Recherche Agronomique de Guinée, PB 1523, Conakry, Guinea
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

Analysis of the genetic bases of adaptation to climate changes are often conducted on natural populations. We report here on a study based on diachronic sampling (1980 & 2010) of the self-fertilising crop species, Oryza sativa (Asian rice) and Oryza glaberrima (African rice), in the tropical forest and the Sudanian savannah of West Africa. First, using historical meteorological data we confirmed changes in temperatures (+1°C on average) and rainfall regime (less predictable and reduced amount) in the target area. Second, phenotyping the populations for phenology, we observed significantly earlier heading time (up to 10 days) in the 2010 samples. Third, we implemented two genome-scan methods, one of which specially developed for selfing species, and detected 31 independent selection footprints. These loci showed significant enrichment in genes involved in reproductive processes and bore known heading time QTLs and genes, including OsGI, Hd1 and OsphyB. This rapid adaptive evolution, originated from subtle changes in the standing variation in genetic network regulating heading time, did not translate into predominance of multilocus genotypes, as it is often the case in selfing plants, and into notable selective sweeps. We argue that this high adaptive potential results from the multiline genetic structure of the rice landraces, and the rather large and imbricated genetic diversity of the rice meta-population at the farm, the village and the region levels, that hosted the adaptive variants in multiple genetic backgrounds well before the advent of the environmental selective pressure. The complex selection footprints observed in this empirical study calls for further model development on genetic bases of plant adaptation to environmental changes.

Competing Interest Statement

The authors have declared no competing interest.

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 August 02, 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.
Genome scan of landrace populations of the self-fertilizing crop species rice, collected across time, revealed climate changes’ selective footprints in the genes network regulating flowering time
(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
Genome scan of landrace populations of the self-fertilizing crop species rice, collected across time, revealed climate changes’ selective footprints in the genes network regulating flowering time
Nour Ahmadi, Mamadou Billo Barry, Julien Frouin, Miguel de Navascués, Mamadou Aminata Toure
bioRxiv 2022.07.29.502004; doi: https://doi.org/10.1101/2022.07.29.502004
Digg logo Reddit logo Twitter logo Facebook logo Google logo LinkedIn logo Mendeley logo
Citation Tools
Genome scan of landrace populations of the self-fertilizing crop species rice, collected across time, revealed climate changes’ selective footprints in the genes network regulating flowering time
Nour Ahmadi, Mamadou Billo Barry, Julien Frouin, Miguel de Navascués, Mamadou Aminata Toure
bioRxiv 2022.07.29.502004; doi: https://doi.org/10.1101/2022.07.29.502004

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

  • Genetics
Subject Areas
All Articles
  • Animal Behavior and Cognition (3707)
  • Biochemistry (7835)
  • Bioengineering (5709)
  • Bioinformatics (21372)
  • Biophysics (10616)
  • Cancer Biology (8218)
  • Cell Biology (11990)
  • Clinical Trials (138)
  • Developmental Biology (6794)
  • Ecology (10435)
  • Epidemiology (2065)
  • Evolutionary Biology (13920)
  • Genetics (9736)
  • Genomics (13119)
  • Immunology (8183)
  • Microbiology (20092)
  • Molecular Biology (7886)
  • Neuroscience (43219)
  • Paleontology (322)
  • Pathology (1285)
  • Pharmacology and Toxicology (2270)
  • Physiology (3367)
  • Plant Biology (7263)
  • Scientific Communication and Education (1317)
  • Synthetic Biology (2012)
  • Systems Biology (5554)
  • Zoology (1136)