A microsatellite marker associated with a QTL for grain protein content on chromosome arm 2DL of bread wheat

Prasad, Manoj; Varshney, Rajeev K.; Kumar, Arun; Balyan, H. S.; Sharma, Prakash C.; Edwards, Keith J.; H-Singh,; Dhaliwal, H. S.; Roy, Joy; Gupta, P. K.

doi:10.1007/s001220051242

Cited by 119 publications

(69 citation statements)

References 16 publications

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“…Various QTL loci have been identified previously for wheat protein content. Those including loci on chromosome 2DL (Prasad et al, 1999), 5DL (Law et al, 1978), 4B, 5A, 6A, 6B, 7B (durum wheat, Blanco et al, 1996), and on 2B, 1A, 5AL, 7AL (Campbell et al, 2001). It is unclear that if there are any relationships between the main QTL for protein content identified in this study and the QTLs previously identified on 5A in Durum wheat (Blanco et al, 1996) and on 5AL in bread wheat (Campbell et al, 2001).…”

Section: Protein Contentmentioning

confidence: 64%

Wheat flour protein content and water absorption analysis in a doubled haploid population

Sutherland

Kammholz

et al. 2007

Journal of Cereal Science

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A wheat_maize induced doubled haploid population that segregates at the Awned locus for awned and awnless phenotypes were studied at two field sites using a genetic linkage map. Interval QTL analysis indicated that significant QTLs for wheat flour water absorption and protein content were located on a linkage group associated with the morphological marker, awns. The QTL peak for flour water absorption was located at the Awned locus (B1, 5AL), whilst the QTL peak for protein content was located nearby, 10.1 cm away from the Awned locus. The locations of those QTL were confirmed by analysing data from two independent field trials conducted under different environment conditions. The QTL identified for water absorption controlled 12% and 11% of the observed variance at the two field trials, whilst for flour protein content the QTL explained 7% and 19% of the variance respectively. Variance component analysis indicated that the QTL for water absorption controlled approximately 14.8-25.0% and 13.6-23% of the genetic variance at the two sites studied (Roma and imbour) whilst the QTL for protein content explained between 12.8% and 30.4% of the genetic variance at Roma and 34.7-82.6% at Jimbour. Cross-site analysis with composite interval mapping approach resulted in significant LOD values of 6.12 and 9.94 for water absorption and protein content, respectively. The QTL for water absorption was independent from the hardness locus.

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Section: Protein Contentmentioning

confidence: 64%

Wheat flour protein content and water absorption analysis in a doubled haploid population

Sutherland

Kammholz

et al. 2007

Journal of Cereal Science

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“…Genes controlling expression may be identified in a mapping study that isolates regions of these chromosome arms conferring variation for glutenin protein. Previous investigations have identified the chromosomal location of storage protein regulators (Guillaumie et al 2004;Prasad et al 1999;Colas des Frances and Thiellement 1985). Guillaumie et al (2004) mapped SPA to chromosome group 1L, the same chromosomal arm as the HMW glutenin structural genes.…”

Section: Agp-lmentioning

confidence: 99%

Genomic regions influencing gene expression of the HMW glutenins in wheat

et al. 2008

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Bread wheat (Triticum aestivum L.) produces glutenin storage proteins in the endosperm. The HMW glutenins confer distinct viscoelastic properties to bread dough. The genetics of HMW glutenin proteins have been extensively studied, and information has accumulated about individual subunits, chromosomal locations and DNA sequences, but little is known about the regulators of the HMW glutenins. This investigation addressed the question of glutenin regulators. Expression of the glutenins was analyzed using QRT-PCR in ditelosomic (dt) Chinese Spring (CS) lines. Primers were designed for each of 4 CS glutenin genes and a control, non-storage protein endosperm-specific gene Agp-L (ADP-glucose pyrophosphorylase). Each line represents CS wheat, lacking one chromosome arm. The effect of a missing arm could feasibly cause an increase, decrease or no change in expression. For each HMW glutenin, results indicated there were, on average, 8 chromosome arms with an up-regulatory effect and only one instance of a down-regulatory effect. There were significant correlations between orthologous and paralogous HMW glutenins for effects of chromosome groups B and D. Some or all the glutenin alleles shared regulatory loci on chromosome arms 2BS,

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“…Loci associated with water absorption capacity have been identified in hard wheat (Mansur et al, 1990). Similarly, loci influencing FP, kernel hardness, and TW have been mapped (Mattern et al, 1973;Blanco et al, 1996;Sourdille et al, 1996: Prasad et al, 1999Perretant et al, 2000; about the heritability of SRCs in soft wheat have shown high heritability (Guttieri & Souza, 2003;Smith et al, 2011;Cabrera et al, 2015;Hoffstetter et al, 2016). Common QTLs for AWRC and damaged starch were observed in a hard x soft population on chromosome 4DL (Campbell et al, 2001).…”

Section: Introductionmentioning

confidence: 99%

Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

Garcia-Santamaria

Hua

Sneller

2017

Preprint

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Information on the genetic control of the quality traits of soft wheat (Triticum aestivum L. em. Thell) is essential for breeding. Gluten strength is a measure of quality and has particular relevance to soft wheat as identity-preserved programs for strong-gluten soft red winter wheat in the eastern US that is essential to effective biscuit industry. Identifying areas of the soft wheat genome harboring genes for functional end-use quality may assist in selective breeding and in understanding the genetic components of this trait. Our objective was to identify Quantitative Trait Loci associated with end-use quality.We developed 150 F4-derived lines from a cross of Pioneer 26R46 × SS550 and tested them in four environments. We measured flour yield (FY), softness equivalent (SE), test weight (TW), flour protein content (FP), alkaline water retention capacity (AWRC), and solvent retention capacity (SRC) of water (WA), lactic acid (LA), sucrose (SU), sodium carbonate (SO) SRCs. Analyses of variance for the ten quality parameters detected a significant difference between parental means for nine traits except for FP. Recombinant inbred lines presented transgressive segregation and high heritability (0.67 to 0.90) for all traits. Strong positive correlations between AWRC with WA, SO, SU and strong negative correlations of FY with AWRC and the SRC traits were observed. We report 28 marker-trait associations. Many QTL were coincident and in accordance with the trait correlations. There were 10 marker-trait associations from four regions for these traits and only one was not coincident with another.We detected QTL distributed on 8 chromosomes. Loci associated with FP mapped on chromosomes 2B, 5A and 5D explained 16 %, 10 % and 12.9 % of the variation for this trait, respectively. QTLs on chromosome 2B co-segregated for SE. SE was negatively correlated (-0.26) with FP. A positive significant correlation between FP and LA (0.36) was detected, yet; the QTL for these two traits were not coincident in this study. The QTL with the greatest effects were located on chromosome 1A, 1B, and 6B with each affecting at least five of ten quality traits. In particular, QTL with the largest effect on LA and consequently gluten strength were on chromosomes 1A with LOD 9 that explained 42.6 % of LA variation and QTLs on chromosome 1B with LOD 9 that explained 33 % of the variation in LA. Loci on chromosomes 1A and 1B were also important contributors of additive effects for this trait with an increase of 6.5 % and 5.6 %, respectively. The largest QTL on 1A co-segregated for AWRC (25 %), SO (26 %) and SE (25 %), and FY (15 %) may explicate why Pioneer 26R46 has such superior quality. All alleles that increased a trait came from the parent with the highest trait value. This suggests that in any population that marker-assisted selection for these quality traits could be conducted by simply selecting for the alleles from the parent with the best phenotype. AWRC and the SRC traits were observed. We report 28 marker-trait associations. Many QTL were ...

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A microsatellite marker associated with a QTL for grain protein content on chromosome arm 2DL of bread wheat

Cited by 119 publications

References 16 publications

Wheat flour protein content and water absorption analysis in a doubled haploid population

Wheat flour protein content and water absorption analysis in a doubled haploid population

Genomic regions influencing gene expression of the HMW glutenins in wheat

Quantitative trait loci associated with soft wheat quality in a cross of good by moderate quality parents

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