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GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola
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GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola
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Journal Article
GWAS hints at pleiotropic roles for FLOWERING LOCUS T in flowering time and yield-related traits in canola
2019
Overview
Background
Transition to flowering at the right time is critical for local adaptation and to maximize grain yield in crops. Canola is an important oilseed crop with extensive variation in flowering time among varieties. However, our understanding of underlying genes and their role in canola productivity is limited.
Results
We report our analyses of a diverse GWAS panel (300–368 accessions) of canola and identify SNPs that are significantly associated with variation in flowering time and response to photoperiod across multiple locations. We show that several of these associations map in the vicinity of
FLOWERING LOCUS T
(
FT
) paralogs and its known transcriptional regulators. Complementary QTL and eQTL mapping studies, conducted in an Australian doubled haploid population, also detected consistent genomic regions close to the
FT
paralogs associated with flowering time and yield-related traits.
FT
sequences vary between accessions. Expression levels of
FT
in plants grown in field (or under controlled environment cabinets) correlated with flowering time. We show that markers linked to the
FT
paralogs display association with variation in multiple traits including flowering time, plant emergence, shoot biomass and grain yield.
Conclusions
Our findings suggest that
FT
paralogs not only control flowering time but also modulate yield-related productivity traits in canola.
Publisher
BioMed Central,BioMed Central Ltd,BMC
Subject
/ Biomedical and Life Sciences
/ Brassica napus - growth & development
/ Canola
/ Flowers - growth & development
/ Genes
/ Genome-wide association studies
/ Genome-Wide Association Study
/ Genomes
/ Genomics
/ Genotype
/ Microbial Genetics and Genomics
/ Photoperiod, genome-wide association analysis, linkage analysis
/ Polymorphism, Single Nucleotide
/ Promoter Regions, Genetic - genetics
