scholarly journals Genome-Wide Association Study for Adult-Plant Resistance to Stripe Rust in Chinese Wheat Landraces (Triticum aestivum L.) From the Yellow and Huai River Valleys

2019 ◽  
Vol 10 ◽  
Author(s):  
Li Long ◽  
Fangjie Yao ◽  
Can Yu ◽  
Xueling Ye ◽  
Yukun Cheng ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Genome Wide Association Study ◽  
Adult Plant Resistance ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Adult Plant ◽  
Genome Wide ◽  
Huai River ◽  
River Valleys ◽  
Chinese Wheat

Genome-wide association study for adult plant resistance to yellow rust in spring bread wheat (Triticum aestivum L.)

Euphytica ◽  
2021 ◽  
Vol 217 (5) ◽  
Author(s):  
Samira El Hanafi ◽  
Anna Backhaus ◽  
Najib Bendaou ◽  
Miguel Sanchez-Garcia ◽  
Ayed Al-Abdallat ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Plant Resistance ◽  
Genome Wide Association Study ◽  
Adult Plant Resistance ◽  
Yellow Rust ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Adult Plant ◽  
Spring Bread Wheat ◽  
Genome Wide

Genome‐wide association study reveals loci associated with seed longevity in common wheat ( Triticum aestivum L.)

2019 ◽  
Vol 139 (2) ◽  
pp. 295-303 ◽  
Author(s):  
Jing Hong Zuo ◽  
Feng Ying Chen ◽  
Xiao Ying Li ◽  
Xian Chun Xia ◽  
Hong Cao ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Association Study ◽  
Common Wheat ◽  
Genome Wide Association Study ◽  
Triticum Aestivum L ◽  
Seed Longevity ◽  
Genome Wide Association ◽  
Genome Wide

scholarly journals Evaluations of Genomic Prediction and Identification of New Loci for Resistance to Stripe Rust Disease in Wheat (Triticum aestivum L.)

2021 ◽  
Vol 12 ◽  
Author(s):  
Vipin Tomar ◽  
Guriqbal Singh Dhillon ◽  
Daljit Singh ◽  
Ravi Prakash Singh ◽  
Jesse Poland ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Stripe Rust ◽  
Genomic Prediction ◽  
Genome Wide Association Study ◽  
Diagnostic Markers ◽  
Genome Wide Association ◽  
Adult Plant ◽  
Adult Plant Stage ◽  
Genome Wide ◽  
Plant Stage

Stripe rust is one of the most destructive diseases of wheat (Triticum aestivum L.), caused by Puccinia striiformis f. sp. tritici (Pst), and responsible for significant yield losses worldwide. Single-nucleotide polymorphism (SNP) diagnostic markers were used to identify new sources of resistance at adult plant stage to wheat stripe rust (YR) in 141 CIMMYT advanced bread wheat lines over 3 years in replicated trials at Borlaug Institute for South Asia (BISA), Ludhiana. We performed a genome-wide association study and genomic prediction to aid the genetic gain by accumulating disease resistance alleles. The responses to YR in 141 advanced wheat breeding lines at adult plant stage were used to generate G × E (genotype × environment)-dependent rust scores for prediction and genome-wide association study (GWAS), eliminating variation due to climate and disease pressure changes. The lowest mean prediction accuracies were 0.59 for genomic best linear unbiased prediction (GBLUP) and ridge-regression BLUP (RRBLUP), while the highest mean was 0.63 for extended GBLUP (EGBLUP) and random forest (RF), using 14,563 SNPs and the G × E rust score results. RF and EGBLUP predicted higher accuracies (∼3%) than did GBLUP and RRBLUP. Promising genomic prediction demonstrates the viability and efficacy of improving quantitative rust tolerance. The resistance to YR in these lines was attributed to eight quantitative trait loci (QTLs) using the FarmCPU algorithm. Four (Q.Yr.bisa-2A.1, Q.Yr.bisa-2D, Q.Yr.bisa-5B.2, and Q.Yr.bisa-7A) of eight QTLs linked to the diagnostic markers were mapped at unique loci (previously unidentified for Pst resistance) and possibly new loci. The statistical evidence of effectiveness and distribution of the new diagnostic markers for the resistance loci would help to develop new stripe rust resistance sources. These diagnostic markers along with previously established markers would be used to create novel DNA biosensor-based microarrays for rapid detection of the resistance loci on large panels upon functional validation of the candidate genes identified in the present study to aid in rapid genetic gain in the future breeding programs.

scholarly journals Multi-locus genome-wide association mapping for spike-related traits in bread wheat (Triticum aestivum L.)

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Parveen Malik ◽  
Jitendra Kumar ◽  
Shiveta Sharma ◽  
Rajiv Sharma ◽  
Shailendra Sharma
Keyword(s):  
Triticum Aestivum ◽  
Bread Wheat ◽  
Genome Wide Association Study ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Yield Potential ◽  
Genome Wide ◽  
Spike Development ◽  
Global Population ◽  
Combined Data

Abstract Background Bread wheat (Triticum aestivum L.) is one of the most important cereal food crops for the global population. Spike-layer uniformity (the consistency of the spike distribution in the vertical space)-related traits (SLURTs) are quantitative and have been shown to directly affect yield potential by modifying the plant architecture. Therefore, these parameters are important breeding targets for wheat improvement. The present study is the first genome-wide association study (GWAS) targeting SLURTs in wheat. In this study, a set of 225 diverse spring wheat accessions were used for multi-locus GWAS to evaluate SLURTs, including the number of spikes per plant (NSPP), spike length (SL), number of spikelets per spike (NSPS), grain weight per spike (GWPS), lowest tiller height (LTH), spike-layer thickness (SLT), spike-layer number (SLN) and spike-layer uniformity (SLU). Results In total, 136 significant marker trait associations (MTAs) were identified when the analysis was both performed individually and combined for two environments. Twenty-nine MTAs were detected in environment one, 48 MTAs were discovered in environment two and 59 MTAs were detected using combined data from the two environments. Altogether, 15 significant MTAs were found for five traits in one of the two environments, and four significant MTAs were detected for the two traits, LTH and SLU, in both environments i.e. E1, E2 and also in combined data from the two environments. In total, 279 candidate genes (CGs) were identified, including Chaperone DnaJ, ABC transporter-like, AP2/ERF, SWEET sugar transporter, as well as genes that have previously been associated with wheat spike development, seed development and grain yield. Conclusions The MTAs detected through multi-locus GWAS will be useful for improving SLURTs and thus yield in wheat production through marker-assisted and genomic selection.

scholarly journals Genome-Wide Association Study Reveals the Genetic Architecture for Calcium Accumulation in Grains of Hexaploid Wheat (Triticum Aestivum L.)

2021 ◽  
Author(s):  
Xia Shi ◽  
Zhengfu Zhou ◽  
Wenxu Li ◽  
Maomao Qin ◽  
Pan Yang ◽  
...  
Keyword(s):  
Triticum Aestivum ◽  
Association Study ◽  
Hexaploid Wheat ◽  
Genetic Architecture ◽  
Genome Wide Association Study ◽  
Triticum Aestivum L ◽  
Genome Wide Association ◽  
Wheat Grain ◽  
Genome Wide ◽  
A Genome

Abstract Background: Hexaploid wheat (Triticum aestivum L.) is a leading cereal crop worldwide. Understanding the mechanism of calcium (Ca) accumulation in wheat is important to reduce the risk of human micronutrient deficiencies. However, the mechanisms of Ca accumulation in wheat grain are only partly understood. Results: Here, we performed a genome-wide association study to identify the genetic basis of Ca accumulation in wheat grain using an association population consisting of 207 varieties, with phenotypic data from three locations and the combined locations. In total, 18 non-redundant quantitative trait loci (QTLs) associated with Ca concentration were identified that explained, on average, 9.61%–26.93% of the phenotypic variation. Cultivars containing more superior alleles and fewer inferior alleles had increased grain Ca concentrations. Notably, six non-redundant loci were identified in at least two environments, indicating their stability across different environments. Searches of public databases revealed six putative candidate genes linked to Ca accumulation. Among them, two subunits of V-type Proton ATPase (TraesCS4A01G428900 and TraesCS3B01G241000) are encoded by genes associated with stable genetic loci on chromosomes 4A (AX-108912427) and 3B (AX-110922471), respectively, and they are typical generators of a proton gradient that might be involved in Ca homeostasis in wheat grain.Conclusion: This study could increases our understanding of the genetic architecture of grain Ca accumulation in wheat, and we plan to develop the identified superior alleles into molecular markers for wheat Ca biofortification pyramid breeding in the future.

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