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GrainGenes Reference Report: BMG-18-122

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Reference
BMG-18-122
Title
The carotenoid biosynthetic and catabolic genes in wheat and their association with yellow pigments
Journal
BMC Genomics
Year
2017
Volume
18
Pages
122
Author
Colasuonno P
[ Show all 13 ]
Abstract
Background: In plants carotenoids play an important role in the photosynthetic process and photo-oxidative protection, and are the substrate for the synthesis of abscisic acid and strigolactones. In addition to their protective role as antioxidants and precursors of vitamin A, in wheat carotenoids are important as they influence the colour (whiteness vs. yellowness) of the grain. Understanding the genetic basis of grain yellow pigments, and identifying associated markers provide the basis for improving wheat quality by molecular breeding. Results: Twenty-four candidate genes involved in the biosynthesis and catabolism of carotenoid compounds have been identified in wheat by comparative genomics. Single nucleotide polymorphisms (SNPs) found in the coding sequences of 19 candidate genes allowed their chromosomal location and accurate map position on two reference consensus maps to be determined. The genome-wide association study based on genotyping a tetraploid wheat collection with 81,587 gene-associated SNPs validated quantitative trait loci (QTLs) previously detected in biparental populations and discovered new QTLs for grain colour-related traits. Ten carotenoid genes mapped in chromosome regions underlying pigment content QTLs indicating possible functional relationships between candidate genes and the trait. Conclusions: The availability of linked, candidate gene-based markers can facilitate breeding wheat cultivars with desirable levels of carotenoids. Identifying QTLs linked to carotenoid pigmentation can contribute to understanding genes underlying carotenoid accumulation in the wheat kernels. Together these outputs can be combined to exploit the genetic variability of colour-related traits for the nutritional and commercial improvement of wheat products.
External Databases
https://bmcgenomics.biomedcentral.com/articles/10.1186/s12864-016-3395-6
https://doi.org/10.1186/s12864-016-3395-6
Gene
Psy2-A1 (Triticum)
[ Show all 15 ]
Map Data
Wheat AB, Carotenoid QTL, 2017
QTL
[ Hide all but 1 of 69 ]
QYI.Col-1B.1
QYI.Col-1B.2
QYI.Col-2A.1
QYI.Col-2A.2
QYI.Col-2B.1
QYI.Col-3B.1
QYI.Col-3B.2
QYI.Col-4A.1
QYI.Col-4B.1
QYI.Col-4B.2
QYI.Col-5A.1
QYI.Col-5B.1
QYI.Col-5B.2
QYI.Col-5B.3
QYI.Col-6A.1
QYI.Col-6A.2
QYI.Col-7A.1
QYI.Col-7A.2
QYI.Col-7A.3
QYI.Col-7A.4
QYI.Col-7A.5
QYI.Col-7A.6
QYI.Col-7B.1
QYI.Col-7B.2
QYI.Dur-2A.1
QYI.Dur-4B.1
QYI.Dur-4B.2
QYI.Dur-6A.1
QYI.Dur-7A.1
QYI.Dur-7A.2
QYI.Dur-7A.3
QYPG.Col-3B.1
QYPG.Col-4B.1
QYPG.Col-5A.1
QYPG.Col-5B.1
QYPG.Col-7A.1
QYPG.Col-7A.2
QYPG.Dur-4B.1
QYPG.Dur-4B.2
QYPG.Dur-7A.1
QYPG.Dur-7A.2
QTL0052_SY-Colasuonno_et_al__2017
QTL0053_SY-Colasuonno_et_al__2017
QTL0054_SY-Colasuonno_et_al__2017
QTL0055_SY-Colasuonno_et_al__2017
QTL0056_SY-Colasuonno_et_al__2017
QTL0057_SY-Colasuonno_et_al__2017
QTL0058_SY-Colasuonno_et_al__2017
QTL0059_YPC-Colasuonno_et_al__2017
QTL0060_SY-Colasuonno_et_al__2017
QTL0061_SY-Colasuonno_et_al__2017
QTL0062_SY__YPC-Colasuonno_et_al__2017
QTL0063_YPC__SY-Colasuonno_et_al__2017
QTL0064_YPC-Colasuonno_et_al__2017
QTL0065_SY-Colasuonno_et_al__2017
QTL0066_SY-Colasuonno_et_al__2017
QTL0067_YPC-Colasuonno_et_al__2017
QTL0068_SY-Colasuonno_et_al__2017
QTL0069_SY-Colasuonno_et_al__2017
QTL0070_SY-Colasuonno_et_al__2017
QTL0071_SY-Colasuonno_et_al__2017
QTL0072_SY-Colasuonno_et_al__2017
QTL0073_SY-Colasuonno_et_al__2017
QTL0074_SY__YPC-Colasuonno_et_al__2017
QTL0075_SY-Colasuonno_et_al__2017
QTL0076_SY-Colasuonno_et_al__2017
QTL0077_SY__YPC-Colasuonno_et_al__2017
QTL0078_SY-Colasuonno_et_al__2017
QTL0079_SY-Colasuonno_et_al__2017
Trait Study
Grain yellow index, AABB Collection, Valenzano2009
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