Fine mapping of the stem rust resistance gene SrTA10187

Wiersma, Andrew T.; Brown, Linda K.; Brisco, Elizabeth I.; Liu, Tiffany L.; Childs, Kevin L.; Poland, Jesse; Sehgal, Sunish K.; Olson, Eric

doi:10.1007/s00122-016-2776-1

Cited by 8 publications

(4 citation statements)

References 50 publications

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“…Tissue was collected from all genotypes evaluated and DNA was isolated according to Wiersma et al (2016). Genotyping-by-sequencing libraries were prepared according to Poland et al (2012) scaled to a 24uL volume in 384-well format.…”

Section: Dna Isolation and Genotypingmentioning

confidence: 99%

Genomic Regions Influencing the Hyperspectral Phenome of Deoxynivalenol Infected Wheat

Concepcion,

Noble,

Thompson

et al. 2024

Preprint

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The quantitative nature of Fusarium Head Blight (FHB) resistance requires further exploration of the wheat genome to identify regions conferring resistance. In this study, we explored the application of hyperspectral imaging of Fusarium-infected wheat kernels and identify regions of the wheat genome contributing significantly to the accumulation of Deoxynivalenol (DON) mycotoxin. Strong correlations were identified between hyperspectral reflectance values for 204 wavebands in the 397 nm to 673 nm range and DON mycotoxin. Dimensionality reduction using principal components was performed for all 204 wavebands and 38 sliding windows across the range of wavebands. PC1 of all 204 wavebands explained 70% of the total variation in waveband reflectance values and was highly correlated with DON mycotoxin. PC1 was used as a phenotype in GWAS and a large effect QTL on chromosome 2D was identified for PC1 of all wavebands as well as nearly all 38 sliding windows. The allele contributing variation in PC1 values also led to a substantial reduction in DON. The 2D polymorphism affecting DON levels localized to the exon of TraesCS2D02G524600 which is upregulated in wheat spike and rachis tissues during FHB infection. This work demonstrates the value of hyperspectral imaging as a correlated trait for investigating the genetic basis of resistance and developing wheat varieties with enhanced resistance to FHB.

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Section: Dna Isolation and Genotypingmentioning

confidence: 99%

Genomic Regions Influencing the Hyperspectral Phenome of Deoxynivalenol Infected Wheat

Concepcion,

Noble,

Thompson

et al. 2024

Preprint

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“…Furthermore, some stem rust resistance genes are still under investigation and not formally named, such as the SrTA10187 and SrTA10171 genes located on chromosomes 6DS and 7DS, respectively [ 109 ]. Wiersma et al finely mapped SrTA10187 to the 1.1cM region and developed PCR-based SNP and STS markers using genotyping-by-sequencing tags and SNP sequences available in online databases [ 110 ].…”

Section: Discovery Of Disease Resistance Genes From Aegilop...mentioning

confidence: 99%

Advances in the Mining of Disease Resistance Genes from Aegilops tauschii and the Utilization in Wheat

Kou

Zhang

et al. 2023

Plants

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Aegilops tauschii is one of the malignant weeds that affect wheat production and is also the wild species ancestor of the D genome of hexaploid wheat (Triticum aestivum, AABBDD). It contains many disease resistance genes that have been lost in the long-term evolution of wheat and is an important genetic resource for the mining and utilization of wheat disease resistance genes. In recent years, the genome sequence of Aegilops tauschii has been preliminarily completed, which has laid a good foundation for the further exploration of wheat disease resistance genes in Aegilops tauschii. There are many studies on disease resistance genes in Aegilops tauschii; in order to provide better help for the disease resistance breeding of wheat, this paper analyzes and reviews the relationship between Aegilops tauschii and wheat, the research progress of Aegilops tauschii, the discovery of disease resistance genes from Aegilops tauschii, and the application of disease resistance genes from Aegilops tauschii to modern wheat breeding, providing a reference for the further exploration and utilization of Aegilops tauschii in wheat disease resistance breeding.

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“…Tissue was collected in the field from flag leaves of selected plants, and DNA was isolated according to Wiersma et al (2016). Genotyping-by-sequencing libraries were prepared according to Poland et al (2012) and scaled to a 24-uL volume in 384-well format.…”

Section: Dna Isolation and Single Nucleotide Polymorphism Genotypingmentioning

confidence: 99%

The ‘Minibulk’ system for advancing winter cereal breeding populations

et al. 2022

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Conventional selected‐bulk breeding is a low cost means of advancing populations but requires years of selection in the field to generate fixed lines. Doubled haploid (DH) methods produce fixed lines quickly but without selection and at high cost. The ‘Minibulk’ system was developed to combine the speed of DHs with the population size and crossover opportunities of selected‐bulk breeding. Breeding populations of winter wheat (Triticum aestivum L.) were vernalized and advanced at high density in the greenhouse from the F2 to the F4 generation. F4 populations underwent visual selection in the field, and derived lines were genotyped for variants at photoperiod and vernalization alleles and across the genome using genotyping‐by‐sequencing. The number of crossover events and parental genome contributions were determined for recombinant inbred lines (RILs) within populations and among RILs across populations. During vernalization, seeds in all populations germinated and underwent vegetative growth, forming a dense seed mat that was transplanted directly into greenhouse pots. A 22‐h photoperiod accelerated development, and many populations reached physiological maturity as soon as five weeks after transplanting. Increasing the number of seeds planted from 300 in the F2 to 500 in the F3 increased the number of fertile spikes produced, thereby maintaining a larger population size. The number of crossovers detected differed significantly between populations and chromosomes, while the number of crossovers detected in each population was related to marker density. Adoption of the minibulk system by winter cereal breeding programs can lead to significant cost savings and acceleration of the breeding cycle.

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Fine mapping of the stem rust resistance gene SrTA10187

Cited by 8 publications

References 50 publications

Genomic Regions Influencing the Hyperspectral Phenome of Deoxynivalenol Infected Wheat

Genomic Regions Influencing the Hyperspectral Phenome of Deoxynivalenol Infected Wheat

Advances in the Mining of Disease Resistance Genes from Aegilops tauschii and the Utilization in Wheat

The ‘Minibulk’ system for advancing winter cereal breeding populations

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