Breeding for increased grain protein and micronutrient content in wheat: Ten years of the GPC-B1 gene

Tabbita, Facundo; Pearce, Stephen; Barneix, Atilio J.

doi:10.1016/j.jcs.2017.01.003

Cited by 107 publications

(97 citation statements)

References 90 publications

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“…Egan's relative yield stability compared with the other HRSW (except Vida; Fig. 3A and 3B) and its inherently superior quality (GPC >150 g kg −1 ), regardless of management or growing year, suggest a lack of yield‐protein tradeoff with this Gpc‐B1 cultivar, as was also reported by Tabbita et al (2017) in a meta‐analysis of Gpc‐B1 gene.…”

Section: Discussionsupporting

confidence: 76%

Differential Nitrogen and Water Impacts on Yield and Quality of Wheat Classes

2019

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High wheat (Triticum aestivum L.) grain yield and desirable quality must be considered to avoid market price penalty. Wheat classes and genotypes may respond differently to agronomic management and environmental conditions. Our goal was to characterize the yield, protein, test weight, and falling number of four hard red and four soft white spring wheat cultivars randomized within the five N levels over contrasting environments (rainfed and irrigated) in northwestern Montana. One‐third yield reduction from 2016 to 2017 was attributed to heat stress. Irrigation increased both grain yield and test weight. However, falling number was generally higher under rainfed environment, but was also cultivar dependent. ‘Egan,’ ‘McNeal,’ and ‘Alpowa’ falling number values were more resilient to environmental differences than other cultivars. Overall, soft whites had higher yields than hard reds, but with a stronger negative yield to protein relationship. Achieving high yield in hard reds via irrigation did not reduce grain protein in relation to rainfed, except at very low N (2017 control). The cultivar Egan, with Gpc‐B1 gene for higher grain protein, had similar yield to its parent material and to other hard red, though inferior to ‘Vida’ (characterized by extended green leaf duration after heading) under hot and dry conditions. During the less limiting year (2016), the maximum protein was achieved with much less N under irrigated environment compared with rainfed. Soft whites, due to lower grain protein requirement and lack of yield response to N in our study, can be grown with lower N input than hard reds. Core Ideas Egan (Gpc‐B1 gene cultivar) had superior grain protein with relatively no yield penalty Vida (stay‐green trait cultivar), Alturas, and UI Stone are more resilient under varied growing conditions and management Soft white market class had higher grain yield and stronger protein dilution than hard red

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Section: Discussionsupporting

confidence: 76%

Differential Nitrogen and Water Impacts on Yield and Quality of Wheat Classes

2019

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“…Over the last few decades, desired traits in wheat have typically been obtained by hybridization in traditional crop improvement programs without knowing the inheritable molecular mechanism. This process gradually integrates superior genetic variation to protect wheat from various diseases or stresses and increases or improves wheat yield and quality (Rasheed et al , 2018; Tabbita et al , 2017). The genetic basis of high yield in modern cultivars has been revealed to be due to the pyramiding of the superior alleles of major genes, such as the vernalization response gene (Chen et al , 2013), photoperiod response gene (Würschum et al , 2018) and kernel size genes (Hanif et al , 2015; Hou et al , 2014; Ma et al , 2016; Wang et al , 2015, 2016), which have been positively selected in traditional breeding programs.…”

Section: Introductionmentioning

confidence: 99%

The Wheat 660K SNP array demonstrates great potential for marker‐assisted selection in polyploid wheat

Sun

Dong

Zhao

et al. 2020

Plant Biotechnology Journal

187

109

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Keywords: wheat, marker-assisted breeding, single-nucleotide polymorphisms, Axiomâ Wheat 660K SNP array, Illumina Wheat 90K iSelect SNP genotyping array. AbstractThe rapid development and application of molecular marker assays have facilitated genomic selection and genome-wide linkage and association studies in wheat breeding. Although PCRbased markers (e.g. simple sequence repeats and functional markers) and genotyping by sequencing have contributed greatly to gene discovery and marker-assisted selection, the release of a more accurate and complete bread wheat reference genome has resulted in the design of single-nucleotide polymorphism (SNP) arrays based on different densities or application targets. Here, we evaluated seven types of wheat SNP arrays in terms of their SNP number, distribution, density, associated genes, heterozygosity and application. The results suggested that the Wheat 660K SNP array contained the highest percentage (99.05%) of genome-specific SNPs with reliable physical positions. SNP density analysis indicated that the SNPs were almost evenly distributed across the whole genome. In addition, 229 266 SNPs in the Wheat 660K SNP array were located in 66 834 annotated gene or promoter intervals. The annotated genes revealed by the Wheat 660K SNP array almost covered all genes revealed by the Wheat 35K (97.44%), 55K (99.73%), 90K (86.9%) and 820K (85.3%) SNP arrays. Therefore, the Wheat 660K SNP array could act as a substitute for other 6 arrays and shows promise for a wide range of possible applications. In summary, the Wheat 660K SNP array is reliable and cost-effective and may be the best choice for targeted genotyping and marker-assisted selection in wheat genetic improvement.1354

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“…Only one QTL interval in our study spanned over 154 Mbp that contain 653 genes, thus making it highly challenging to search for CG within this extremely large chromosome segment. The Gpc-B1 , a known gene for increasing GPC in wheat (Tabbita et al 2017), was found within the interval of a major GPC QTL ( QGpc.uhw-6B ) in the S×Y population. This gene is responsible for more efficient remobilization of nutrients from the senescing leaves to the grains during filling stage, thus, increasing protein and mineral accumulation in wheat grains (Uauy et al 2006).…”

Section: Discussionmentioning

confidence: 99%

“…In tetraploid wheat, two additional copies were found on chromosome arms 6AS ( TtNAM-A1 , an orthologous copy), and chromosome arm 2BS ( TtNAM-B2 , paralogous copy, that is 91% identical to TtNAM-B1 at the DNA level), while hexaploid wheat genome contains four TaNAM copies ( TaNAM-A1, D1, B2 , and D2 ; Uauy et al 2006). WEW allele of Gpc-B1 showed positive effects on GPC and other quality traits, and minor impacts on yield related traits, following its introgression into various wheat backgrounds (Brevis and Dubcovsky 2010; Tabbita et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Grain Protein Content QTLs Identified in a Durum × Wild Emmer Wheat Mapping Population Tested in Five Environments

Fatiukha

Lupo

Lidzbarsky

et al. 2019

Preprint

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Wild emmer wheat (Triticum turgidum ssp. dicoccoides, WEW) was shown to exhibit high grain protein content (GPC) and therefore, possess a great potential for improvement of cultivated wheat nutritional value. A recombinant inbred line (RIL) population derived from a cross between T. durum var. Svevo and WEW acc. Y12-3 was used for construction of a high-density genetic map and genetic dissection of GPC. Genotyping of 208 F 6 RILs with 15K wheat SNP array yielded 4,166 polymorphic SNP markers, of which 1,510 were designated as skeleton markers. A total map length of 2,169 cM was obtained with an average distance of 1.5 cM between SNPs. A total of 12 GPC QTLs with LOD score range of 2.7-35.9, and PEV of 2.6-26.6% were identified under five environments. Major QTLs with favorable alleles from WEW were identified on chromosomes 4BS, 5AS, 6BS and 7BL. The QTL region on 6BS coincided with the physical position of the previously cloned QTL, Gpc-B1. Comparisons of the physical intervals of the GPC QTLs described here with the results previously reported in other durum×WEW RIL population led to the identification of four common and two homoeologous QTLs. Exploration of the large genetic variation within WEW accessions is a precondition for discovery of exotic beneficial alleles, as we have demonstrated here, by the identification of seven novel GPC QTLs. Therefore, our research emphasizes the importance of GPC QTL dissection in diverse WEW accessions as a source of novel alleles for improvement of GPC in cultivated wheat.

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Breeding for increased grain protein and micronutrient content in wheat: Ten years of the GPC-B1 gene

Cited by 107 publications

References 90 publications

Differential Nitrogen and Water Impacts on Yield and Quality of Wheat Classes

Differential Nitrogen and Water Impacts on Yield and Quality of Wheat Classes

The Wheat 660K SNP array demonstrates great potential for marker‐assisted selection in polyploid wheat

Grain Protein Content QTLs Identified in a Durum × Wild Emmer Wheat Mapping Population Tested in Five Environments

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