Unraveling Allelic Impacts on Pre-Harvest Sprouting Resistance in TaVP1-B of Chinese Wheat Accessions Using Pan-Genome

Plants, Год журнала: 2025, Номер 14(4), С. 504 - 504

Опубликована: Фев. 7, 2025

The TaVP1-B gene, located on the 3B chromosome of wheat, is a homolog Viviparous-1 (VP-1) gene maize and was reported to confer resistance pre-harvest sprouting (PHS) in wheat. In this study, structure analyzed using wheat pan-genome consisting 20 released cultivars (19 are from China), 3 single nucleotide polymorphisms (SNPs), which were identified at 496 bp, 524 1548 bp CDS region, respectively. Haplotypes analysis showed that these SNPs complete linkage disequilibrium only two haplotypes designated as hap1 (TGG) hap2 (GAA) present. Association between PHS four experiment environments revealed average accessions with significantly better than hap2, infers effects resistance. To further investigate impacts alleles locus resistance, SNP region converted KASP marker, used for genotyping 304 Chinese cultivars, whose evaluated three environments. rates (SRs) 135 lower 169 validating present study provided breeding-friendly marker functional variants can be genetic improvement

Язык: Английский

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Linkage and association analysis to identify wheat pre-harvest sprouting resistance genetic regions and develop KASP markers

Molecular Breeding, Год журнала: 2025, Номер 45(1)

Опубликована: Янв. 1, 2025

Язык: Английский

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Identification of quantitative trait nucleotides for grain quality in bread wheat under heat stress

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Фев. 24, 2025

Heat stress is a critical factor affecting global wheat production and productivity. In this study, out of 500 studied germplasm lines, diverse panel 126 genotypes grown under twelve distinct environmental conditions was analyzed. Using 35 K single-nucleotide polymorphism (SNP) genotyping assays trait data on five biochemical parameters, including grain protein content (GPC), amylose (GAC), total soluble sugars (TSS), iron (Fe), zinc (Zn) content, six multi-locus GWAS (ML-GWAS) models were employed for association analysis. This revealed 67 stable quantitative nucleotides (QTNs) linked to quality explaining phenotypic variations ranging from 3 44.5% heat conditions. By considering the results in consensus at least three locations, final QTNs reduced 16, with 12 being novel findings. Notably, two markers, AX-94461119 (chromosome 2A) AX-95220192 7D), associated Fe Zn, respectively, validated through Kompetitive Allele Specific Polymerase Chain Reaction (KASP) approach. Candidate genes, P-loop-containing nucleoside triphosphate hydrolases (NTPases), Bowman-Birk type proteinase inhibitors (BBI), NPSN13 protein, identified within genomic regions. These genes could serve as potential targets enhancing traits tolerance future improvement programs.

Язык: Английский

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Physical map of QTL for eleven agronomic traits across fifteen environments, identification of related candidate genes, and development of KASP markers with emphasis on terminal heat stress tolerance in common wheat

Theoretical and Applied Genetics, Год журнала: 2024, Номер 137(10)

Опубликована: Сен. 27, 2024

Язык: Английский

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Marker-assisted Recurrent Selection in Plant Breeding

CABI eBooks, Год журнала: 2025, Номер unknown, С. 166 - 193

Опубликована: Фев. 18, 2025

Язык: Английский

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Physical map of QTLs for some agronomic traits across many environments, identification of related candidate genes, and development of KASP markers with emphasis on terminal heat stress tolerance in common wheat

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Фев. 16, 2024

To understand the genetic architecture of important agronomic traits under heat stress, we used a doubled-haploid (DH) mapping population (177 lines) derived from sensitive cultivar (PBW343) and tolerant genotype (KSG1203). This was evaluated for 11 timely (optimum), late (mild stress), very sown (heat stress) environments over two locations three years totalling 15 environments. Best linear unbiased estimates each trait sequencing based genotyping (SBG) SNP map comprising 5,710 markers were composite interval QTLs. The identified 66 QTLs integrated into physical (5,710 SNPs; 14,263.4 Mb) wheat. (20 novel QTLs) explained 5.3–24.9% phenotypic variation. Thirteen stable with high PVE recommended marker-assisted recurrent selection (MARS) optimum stress Selected validated by their presence in yielding DH lines. Three 1000-grain weight co-localized known genes TaERF3-3B, TaFER-5B, TaZIM-A1; QTL grain yield TaCol-B5, gene TaVRT-2 associated related some spike traits. Specific several including thermostability, enhanced etc. co-located Furthermore, 61 differentially expressed candidate tolerance plants that encode 28 different proteins identified. KASP major/stable developed MARS focussing on development wheat varieties germplasm.

Язык: Английский

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Accelerating wheat improvement through trait characterization: advances and perspectives

Physiologia Plantarum, Год журнала: 2024, Номер 176(5)

Опубликована: Сен. 1, 2024

Abstract Wheat ( Triticum spp.) is a primary dietary staple food for humanity. Many wheat genetic resources with variable genomes have record of domestication history and are widespread throughout the world. To develop elite varieties, agronomical stress‐responsive trait characterization foremost evaluating existing germplasm to promote breeding. However, genomic complexity one impediments mining characterization. Multiple reference cutting‐edge technologies like haplotype mapping, selection, precise gene editing tools, high‐throughput phenotyping platforms, high‐efficiency transformation systems, speed‐breeding facilities transforming functional genomics research understand diversity polyploidy. This review focuses on achievements in genomics, available omics approaches, bioinformatic developed past decades. Advances system biology approaches highlighted circumvent bottlenecks phenotypic as well transfer. In addition, we propose conducting studies developing sustainable breeding strategies wheat. These developments understanding traits speed up creation high‐yielding, stress‐resistant, nutritionally enhanced which will help addressing global security agricultural sustainability era climate change.

Язык: Английский

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An Optimal Model to Improve Genomic Prediction for Protein Content and Test Weight in a Diverse Spring Wheat Panel

Agriculture, Год журнала: 2024, Номер 14(3), С. 347 - 347

Опубликована: Фев. 22, 2024

In recent years, genomic selection has been widely used in plant breeding to increase genetic gain. Selections are based on values of each genotype estimated using genome-wide markers. The present study developed prediction models for grain protein content (GPC) and test weight (TW) a diverse panel 170 spring wheat lines phenotyped five environments. Five (GBLUP, RRBLUP, EGBLUP, RF, RKHS) were investigated. population was genotyped markers with the Infinium iSelect 90 K SNP assay. Environmental variation adjusted by calculating BLUPs across environments complete random effect GxE model. Both GPC TW showed high heritability 0.867 0.854, respectively. When five-fold cross-validation scheme statistical models, we found that EGBLUP model had highest mean accuracy (0.743) GPC, while RRBLUP (0.650) TW. Testing various proportions training indicated minimum 100 genotypes required train optimum accuracy. outperformed 80% tested environments, even though at least one higher accuracies trait. Thus, optimized GS potential predict trait accurately. Implementing would aid through accurate early generation superior lines, leading gain per cycle.

Язык: Английский

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Biochemical, Genetic, and Grain Digital Evaluation of Soft Winter Wheat Varieties with Different Germination Index

Russian Journal of Plant Physiology, Год журнала: 2024, Номер 71(2)

Опубликована: Апрель 1, 2024

Язык: Английский

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Comparative transcriptomes and WGCNA reveal hub genes for spike germination in different quinoa lines

BMC Genomics, Год журнала: 2024, Номер 25(1)

Опубликована: Дек. 20, 2024

Abstract Background Quinoa, as a new food crop, has attracted extensive attention at home and abroad. However, the natural disaster of spike germination seriously threatens quality yield quinoa. Currently, there are limited reports on molecular mechanisms associated with in Results In this study, we utilized transcriptome sequencing technology successfully obtained 154.51 Gb high-quality data comparison efficiency more than 88%, which fully demonstrates extremely high reliability results lays solid foundation for subsequent analysis. Using these data, constructed weighted gene co-expression network (WGCNA) related to starch, sucrose, α-amylase, phenolic acid metabolites, screened six modules closely traits. Two physiological indicators were analyzed depth, nine core genes finally predicted. Further functional annotation revealed four key transcription factors involved regulation dormancy processes: LOC110698065 , LOC110696037 LOC110736224 LOC110705759 belonging bHLH NF-YA MYB FAR1 families, respectively. Conclusions These provide clues identify quinoa germination. This will ultimately theoretical basis breeding varieties resistance.

Язык: Английский

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