Quantitative trait loci controlling flowering time and related traits in a Solanum lycopersicum×S. pimpinellifolium cross

Tetraploid landraces of wheat harbour genetic diversity that could be introgressed into modern bread wheat with the aid of marker-assisted selection to address the genetic diversity bottleneck in the breeding genepool. A novel bi-parental Triticum turgidum ssp. dicoccum Schrank mapping population was created from a cross between two landrace accessions differing for multiple physiological traits. The population was phenotyped for traits hypothesised to be proxies for characteristics associated with improved photosynthesis or drought tolerance, including flowering time, awn length, flag leaf length and width, and stomatal and trichome density. The mapping individuals and parents were genotyped with the 35K Wheat Breeders’ single nucleotide polymorphism (SNP) array. A genetic linkage map was constructed from 104 F4 individuals, consisting of 2066 SNPs with a total length of 3295 cM and an average spacing of 1.6 cM. Using the population, 10 quantitative trait loci (QTLs) for five traits were identified in two years of trials. Three consistent QTLs were identified over both trials for awn length, flowering time and flag leaf width, on chromosomes 4A, 7B and 5B, respectively. The awn length and flowering time QTLs correspond with the major loci Hd and Vrn-B3, respectively. The identified marker-trait associations could be developed for marker-assisted selection, to aid the introgression of diversity from a tetraploid source into modern wheat for potential physiological trait improvement.

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Epistasis and genotype-environment interaction for quantitative trait loci affecting flowering time in Arabidopsis thaliana

Genetica ◽

10.1007/s10709-003-2717-1 ◽

2005 ◽

Vol 123 (1-2) ◽

pp. 87-105 ◽

Cited By ~ 51

Author(s):

Thomas E. Juenger ◽

S�unak Sen ◽

Kirk A. Stowe ◽

Ellen L. Simms

Keyword(s):

Arabidopsis Thaliana ◽

Quantitative Trait Loci ◽

Flowering Time ◽

Quantitative Trait ◽

Environment Interaction ◽

Genotype Environment Interaction ◽

Trait Loci

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Comparison of GWAS models to identify non-additive genetic control of flowering time in sunflower hybrids

10.1101/188235 ◽

2017 ◽

Cited By ~ 1

Author(s):

Fanny Bonnafous ◽

Ghislain Fievet ◽

Nicolas Blanchet ◽

Marie-Claude Boniface ◽

Sébastien Carrère ◽

...

Keyword(s):

Quantitative Trait Loci ◽

Flowering Time ◽

Genetic Control ◽

Quantitative Trait ◽

Complex Traits ◽

Association Studies ◽

Additive Models ◽

Genome Wide Association Studies ◽

Trait Loci ◽

Genomic Regions

AbstractGenome-wide association studies are a powerful and widely used tool to decipher the genetic control of complex traits. One of the main challenges for hybrid crops, such as maize or sunflower, is to model the hybrid vigor in the linear mixed models, considering the relatedness between individuals. Here, we compared two additive and three non-additive association models for their ability to identify genomic regions associated with flowering time in sunflower hybrids. A panel of 452 sunflower hybrids, corresponding to incomplete crossing between 36 male lines and 36 female lines, was phenotyped in five environments and genotyped for 2,204,423 SNPs. Intra-locus effects were estimated in multi-locus models to detect genomic regions associated with flowering time using the different models. Thirteen quantitative trait loci were identified in total, two with both model categories and one with only non-additive models. A quantitative trait loci on LG09, detected by both the additive and non-additive models, is located near a GAI homolog and is presented in detail. Overall, this study shows the added value of non-additive modeling of allelic effects for identifying genomic regions that control traits of interest and that could participate in the heterosis observed in hybrids.

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