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PMID: 27144929 Published · ppublish English Journal Article Research Support, U.S. Gov't, Non-P.H.S. Research Support, Non-U.S. Gov't

Adaptation to climate through flowering phenology: a case study in Medicago truncatula.

Molecular ecology ·Vol. 25 ·No. 14 ·2016-07-00 ·Pages 3397-415

Burgarella C, Chantret N, Gay L, Prosperi JM, Bonhomme M, Tiffin P, Young ND, Ronfort J

Abstract

Local climatic conditions likely constitute an important selective pressure on genes underlying important fitness-related traits such as flowering time, and in many species, flowering phenology and climatic gradients strongly covary. To test whether climate shapes the genetic variation on flowering time genes and to identify candidate flowering genes involved in the adaptation to environmental heterogeneity, we used a large Medicago truncatula core collection to examine the association between nucleotide polymorphisms at 224 candidate genes and both climate variables and flowering phenotypes. Unlike genome-wide studies, candidate gene approaches are expected to enrich for the number of meaningful trait associations because they specifically target genes that are known to affect the trait of interest. We found that flowering time mediates adaptation to climatic conditions mainly by variation at genes located upstream in the flowering pathways, close to the environmental stimuli. Variables related to the annual precipitation regime reflected selective constraints on flowering time genes better than the other variables tested (temperature, altitude, latitude or longitude). By comparing phenotype and climate associations, we identified 12 flowering genes as the most promising candidates responsible for phenological adaptation to climate. Four of these genes were located in the known flowering time QTL region on chromosome 7. However, climate and flowering associations also highlighted largely distinct gene sets, suggesting different genetic architectures for adaptation to climate and flowering onset.

Keywords
association genetics candidate genes climate adaptation flowering time mixed model
MeSH Terms
Acclimatization/genetics Africa, Northern Climate Europe Flowers/physiology Genetics, Population Medicago truncatula/genetics,physiology Models, Genetic Multigene Family Phenotype Polymorphism, Single Nucleotide Quantitative Trait Loci
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Burgarella Concetta
UMR 232 DIADE/DYNADIV, Institut de Recherche pour le Developpement (IRD), 911 avenue Agropolis, BP 64501, 34394, Montpellier, France. | UMR AGAP, Equipe Génomique évolutive et gestion des populations, Institut national de Recherche Agronomique (INRA), 34060, Montpellier, France.
Chantret Nathalie
UMR AGAP, Equipe Génomique évolutive et gestion des populations, Institut national de Recherche Agronomique (INRA), 34060, Montpellier, France.
Gay Laurène
UMR AGAP, Equipe Génomique évolutive et gestion des populations, Institut national de Recherche Agronomique (INRA), 34060, Montpellier, France.
Prosperi Jean-Marie
UMR AGAP, Equipe Génomique évolutive et gestion des populations, Institut national de Recherche Agronomique (INRA), 34060, Montpellier, France.
Bonhomme Maxime
UPS, Laboratoire de Recherche en Sciences Végétales, Université de Toulouse, BP42617, Auzeville, F-31326, Castanet-Tolosan, France. | Laboratoire de Recherche en Sciences Végétales, CNRS, BP42617, Auzeville, F-31326, Castanet-Tolosan, France.
Tiffin Peter
Department of Plant Biology, University of Minnesota, St. Paul, MN, 55108, USA.
Young Nevin D
Department of Plant Biology, University of Minnesota, St. Paul, MN, 55108, USA. | Department of Plant Pathology, University of Minnesota, St. Paul, MN, 55108, USA.
Ronfort Joelle
UMR AGAP, Equipe Génomique évolutive et gestion des populations, Institut national de Recherche Agronomique (INRA), 34060, Montpellier, France.
Article Info
Journal
Molecular ecology
Abbr.
Mol Ecol
ISSN
1365-294X
Published
2016-07-00
Epub
2016-00-30
Pages
3397-415
Language
English
Region
England
NLM ID
9214478
Subset
IM
Databases
Dryad
10.5061/dryad.j25m2
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