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3.
PLoS One ; 13(4): e0194698, 2018.
Article in English | MEDLINE | ID: mdl-29608579

ABSTRACT

Eyespot, caused by the soil-borne necrotrophic fungi Oculimacula yallundae and O. acuformis, is a disease of major economic significance for wheat, barley and rye. Pacific Northwest (PNW) winter wheat (Triticum aestivum L.) grown in areas of high rainfall and moderate winters is most vulnerable to infection. The objective of this research was to identify novel genomic regions associated with eyespot resistance in winter wheat adapted to the PNW. Two winter wheat panels of 469 and 399 lines were compiled for one of the first genome-wide association studies (GWAS) of eyespot resistance in US winter wheat germplasm. These panels were genotyped with the Infinium 9K and 90K iSelect SNP arrays. Both panels were phenotyped for disease resistance in a two-year field study and in replicated growth chamber trials. Growth chamber trials were used to evaluate the genetic resistance of O. acuformis and O. yallundae species separately. Best linear unbiased predictors (BLUPs) were calculated across all field and growth chamber environments. A total of 73 marker-trait associations (MTAs) were detected on nine different chromosomes (1A, 2A, 2B, 4A, 5A, 5B, 7A, 7B and 7D) that were significantly associated (p-value <0.001) with eyespot resistance in Panel A, and 19 MTAs on nine different chromosomes (1A, 1B, 2A, 2D, 3B, 5A, 5B, 7A, and 7B) in Panel B. The most significant SNPs were associated with Pch1 and Pch2 resistance genes on the long arms of chromosome 7D and 7A. Most of the novel MTAs appeared to have a minor effect on reducing eyespot disease. Nevertheless, eyespot disease scores decreased as the number of resistance alleles increased. Seven SNP markers, significantly associated with reducing eyespot disease across environments and in the absence and presence of Pch1 were identified. These markers were located on chromosomes 2A (IWB8331), 5A (IWB73709), 5B (IWB47298), 7AS (IWB47160), 7B (IWB45005) and two SNPs (Ex_c44379_2509 and IAAV4340) had unknown map positions. The additive effect of the MTAs explained most of the remaining phenotypic variation not accounted for by Pch1 or Pch2. This study provides breeders with adapted germplasm and novel sources of eyespot resistance to be used in the development of superior cultivars with increased eyespot resistance.


Subject(s)
Chromosome Mapping , Genome, Plant , Genome-Wide Association Study , Plant Diseases/genetics , Plant Diseases/microbiology , Triticum/genetics , Triticum/microbiology , Disease Resistance/genetics , Environment , Genotype , Northwestern United States , Phenotype , Polymorphism, Single Nucleotide , Quantitative Trait Loci , Quantitative Trait, Heritable , Seasons
4.
Front Plant Sci ; 9: 141, 2018.
Article in English | MEDLINE | ID: mdl-29491876

ABSTRACT

Preharvest sprouting (PHS), the germination of grain on the mother plant under cool and wet conditions, is a recurring problem for wheat farmers worldwide. α-amylase enzyme produced during PHS degrades starch resulting in baked good with poor end-use quality. The Hagberg-Perten Falling Number (FN) test is used to measure this problem in the wheat industry, and determines how much a farmer's wheat is discounted for PHS damage. PHS tolerance is associated with higher grain dormancy. Thus, breeding programs use germination-based assays such as the spike-wetting test to measure PHS susceptibility. Association mapping identified loci associated with PHS tolerance in U.S. Pacific Northwest germplasm based both on FN and on spike-wetting test data. The study was performed using a panel of 469 white winter wheat cultivars and elite breeding lines grown in six Washington state environments, and genotyped for 15,229 polymorphic markers using the 90k SNP Illumina iSelect array. Marker-trait associations were identified using the FarmCPU R package. Principal component analysis was directly and a kinship matrix was indirectly used to account for population structure. Nine loci were associated with FN and 34 loci associated with PHS based on sprouting scores. None of the QFN.wsu loci were detected in multiple environments, whereas six of the 34 QPHS.wsu loci were detected in two of the five environments. There was no overlap between the QTN detected based on FN and PHS, and there was little correlation between the two traits. However, both traits appear to be PHS-related since 19 of the 34 QPHS.wsu loci and four of the nine QFN.wsu loci co-localized with previously published dormancy and PHS QTL. Identification of these loci will lead to a better understanding of the genetic architecture of PHS and will help with the future development of genomic selection models.

5.
Plant Genome ; 11(1)2018 03.
Article in English | MEDLINE | ID: mdl-29505636

ABSTRACT

Stripe rust resistance is a critical need for wheat cultivars in the US Pacific Northwest (PNW). Our previous genome-wide association study (GWAS) for stripe rust resistance in a set of PNW winter wheat accessions (Panel-2) identified multiple marker-trait associations (MTAs) for both all-stage and field resistance. In this study, we conducted additional GWAS using a different set of PNW winter wheat accessions (Panel-1) that contained recently bred soft white winter wheat breeding lines and cultivars. A total of 12 all-stage resistance MTAs and eight field resistance MTAs were identified. Within these MTAs, nine MTAs for all-stage resistance and two MTAs for field resistance were located distinctly from previously characterized genes and likely represent novel loci. Markers IWB60567 (1B), IWB24342 (2A), and IWB46564 (2B) explained the largest phenotypic variances for disease responses. The analysis confirmed that MTAs on chromosome 1B were indeed the same as identified in Panel-2 and that MTAs on chromosome 2A were likely and closely linked to another field resistance QTL, (Panel-2). Haplotypes for MTAs on chromosome 1B, , and linked loci on chromosome 2A provide useful information for marker development and introgression of these QTL into wheat breeding programs.


Subject(s)
Disease Resistance/genetics , Plant Diseases/microbiology , Quantitative Trait Loci , Triticum/genetics , Basidiomycota/pathogenicity , Chromosome Mapping , Chromosomes, Plant , Gene Frequency , Genome-Wide Association Study , Haplotypes , Pacific States , Plant Breeding , Reproducibility of Results , Seedlings/genetics , Seedlings/microbiology , Triticum/microbiology
6.
Front Plant Sci ; 9: 271, 2018.
Article in English | MEDLINE | ID: mdl-29593752

ABSTRACT

Soft white wheat is used in domestic and foreign markets for various end products requiring specific quality profiles. Phenotyping for end-use quality traits can be costly, time-consuming and destructive in nature, so it is advantageous to use molecular markers to select experimental lines with superior traits. An association mapping panel of 469 soft white winter wheat cultivars and advanced generation breeding lines was developed from regional breeding programs in the U.S. Pacific Northwest. This panel was genotyped on a wheat-specific 90 K iSelect single nucleotide polymorphism (SNP) chip. A total of 15,229 high quality SNPs were selected and combined with best linear unbiased predictions (BLUPs) from historical phenotypic data of the genotypes in the panel. Genome-wide association mapping was conducted using the Fixed and random model Circulating Probability Unification (FarmCPU). A total of 105 significant marker-trait associations were detected across 19 chromosomes. Potentially new loci for total flour yield, lactic acid solvent retention capacity, flour sodium dodecyl sulfate sedimentation and flour swelling volume were also detected. Better understanding of the genetic factors impacting end-use quality enable breeders to more effectively discard poor quality germplasm and increase frequencies of favorable end-use quality alleles in their breeding populations.

7.
G3 (Bethesda) ; 7(3): 775-780, 2017 03 10.
Article in English | MEDLINE | ID: mdl-28143950

ABSTRACT

Plants grown through the winter are subject to selective pressures that vary with each year's unique conditions, necessitating tolerance of numerous abiotic and biotic stress factors. The objective of this study was to identify molecular markers in winter wheat (Triticum aestivum L.) associated with tolerance of two of these stresses, freezing temperatures and snow mold-a fungal disease complex active under snow cover. A population of 155 F2:5 recombinant inbred lines from a cross between soft white wheat cultivars "Finch" and "Eltan" was evaluated for snow mold tolerance in the field, and for freezing tolerance under controlled conditions. A total of 663 molecular markers was used to construct a genetic linkage map and identify marker-trait associations. One quantitative trait locus (QTL) associated with both freezing and snow mold tolerance was identified on chromosome 5A. A second, distinct, QTL associated with freezing tolerance also was found on 5A, and a third on 4B. A second QTL associated with snow mold tolerance was identified on chromosome 6B. The QTL on 5A associated with both traits was closely linked with the Fr-A2 (Frost-Resistance A2) locus; its significant association with both traits may have resulted from pleiotropic effects, or from greater low temperature tolerance enabling the plants to better defend against snow mold pathogens. The QTL on 4B associated with freezing tolerance, and the QTL on 6B associated with snow mold tolerance have not been reported previously, and may be useful in the identification of sources of tolerance for these traits.


Subject(s)
Adaptation, Physiological/genetics , Freezing , Fungi/physiology , Genome, Plant , Plant Diseases/genetics , Stress, Physiological/genetics , Triticum/genetics , Triticum/microbiology , Genetic Markers , Haplotypes/genetics , Quantitative Trait Loci/genetics , Seasons , Triticum/physiology
8.
PLoS One ; 9(3): e91758, 2014.
Article in English | MEDLINE | ID: mdl-24642574

ABSTRACT

A recombinant inbred line (RIL) mapping population developed from a cross between winter wheat (Triticum aestivum L.) cultivars Coda and Brundage was evaluated for reaction to stripe rust (caused by Puccinia striiformis f. sp. tritici). Two hundred and sixty eight RIL from the population were evaluated in replicated field trials in a total of nine site-year locations in the U.S. Pacific Northwest. Seedling reaction to stripe rust races PST-100, PST-114 and PST-127 was also examined. A linkage map consisting of 2,391 polymorphic DNA markers was developed covering all chromosomes of wheat with the exception of 1D. Two QTL on chromosome 1B were associated with adult plant and seedling reaction and were the most significant QTL detected. Together these QTL reduced adult plant infection type from a score of seven to a score of two reduced disease severity by an average of 25% and provided protection against race PST-100, PST-114 and PST-127 in the seedling stage. The location of these QTL and the race specificity provided by them suggest that observed effects at this locus are due to a complementation of the previously known but defeated resistances of the cultivar Tres combining with that of Madsen (the two parent cultivars of Coda). Two additional QTL on chromosome 3B and one on 5B were associated with adult plant reaction only, and a single QTL on chromosome 5D was associated with seedling reaction to PST-114. Coda has been resistant to stripe rust since its release in 2000, indicating that combining multiple resistance genes for stripe rust provides durable resistance, especially when all-stage resistance genes are combined in a fashion to maximize the number of races they protect against. Identified molecular markers will allow for an efficient transfer of these genes into other cultivars, thereby continuing to provide excellent resistance to stripe rust.


Subject(s)
Chromosomes, Plant/immunology , Gene Expression Regulation, Plant , Plant Diseases/genetics , Plant Immunity/genetics , Seedlings/genetics , Triticum/genetics , Basidiomycota/physiology , Chromosome Mapping , Crosses, Genetic , Epistasis, Genetic , Genetic Markers , Plant Diseases/immunology , Plant Diseases/microbiology , Plants, Genetically Modified , Quantitative Trait Loci , Seedlings/immunology , Seedlings/microbiology , Triticum/immunology , Triticum/microbiology
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