10.5061/DRYAD.J25M2
Burgarella, Concetta
Institut de Recherche pour le Développement
Chantret, Nathalie
Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
Gay, Laurène
Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
Prosperi, Jean-Marie
University of Minnesota
Bonhomme, Maxime
French National Centre for Scientific Research
University of Toulouse
Tiffin, Peter
University of Minnesota
Young, Nevin D.
University of Minnesota
Ronfort, Joelle
Genetic Improvement and Adaptation of Mediterranean and Tropical Plants
Data from: Adaptation to climate through flowering phenology: a case study
in Medicago truncatula
Dryad
dataset
2016
Medicago truncatula
candidate genes
mixed model
Climate Adaptation
association genetics
2016-05-03T05:40:30Z
2016-05-03T05:40:30Z
en
https://doi.org/10.1111/mec.13683
2762003 bytes
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CC0 1.0 Universal (CC0 1.0) Public Domain Dedication
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 genetic
variation on flowering time genes and to identify candidate flowering
genes involved in the adaptation to environmental heterogeneity, we used a
large M. 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.
Burgarella_2016_SNP_genotypesGenotypes of 5206 SNPs from 224 candidate
flowering genes for 174 Medicago truncatula
accessionsBurgarella_2016_SNP_contextChromosome position, gene call, gene
product and gene context (I= intron, C=codon, 0=intergenic, 3=3'UTR,
5=5'UTR) for 5206 SNPS from 224 candidate flowering genes in Medicago
truncatula.Burgarella_2016_worldclim_dataClimate data for 174 Medicago
truncatula accessions obtained from the Worldclim database
(http://www.worldclim.org/)Burgarella_2016_kinship_matrixKinship matrix of
174 Medicago truncatula accessions used in association
analysis.Burgarella_2016_phenotype_dataFlowering time measures
significantly associated with genotypes in Medicago truncatula
Mediterranean region