Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection

Snow mold is a yield-limiting disease of wheat in the Pacific Northwest (PNW) region of the US, where there is prolonged snow cover. The objectives of this study were to identify genomic regions associated with snow mold tolerance in a diverse panel of PNW winter wheat lines in a genome-wide associa...

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Main Authors: Dennis Lozada, Jayfred V. Godoy, Timothy D. Murray, Brian P. Ward, Arron H. Carter
Format: Article
Language:English
Published: Frontiers Media S.A. 2019-10-01
Series:Frontiers in Plant Science
Subjects:
Online Access:https://www.frontiersin.org/article/10.3389/fpls.2019.01337/full
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spelling doaj-7e8281e3e5e34ffbbbb86656ba363bb72020-11-25T01:49:08ZengFrontiers Media S.A.Frontiers in Plant Science1664-462X2019-10-011010.3389/fpls.2019.01337449162Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic SelectionDennis Lozada0Jayfred V. Godoy1Timothy D. Murray2Brian P. Ward3Arron H. Carter4Department of Crop and Soil Sciences, Washington State University, Pullman, WA, United StatesDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United StatesDepartment of Plant Pathology, Washington State University, Pullman, WA, United StatesUSDA-ARS Plant Science Research Unit, Raleigh, NC, United StatesDepartment of Crop and Soil Sciences, Washington State University, Pullman, WA, United StatesSnow mold is a yield-limiting disease of wheat in the Pacific Northwest (PNW) region of the US, where there is prolonged snow cover. The objectives of this study were to identify genomic regions associated with snow mold tolerance in a diverse panel of PNW winter wheat lines in a genome-wide association study (GWAS) and to evaluate the usefulness of genomic selection (GS) for snow mold tolerance. An association mapping panel (AMP; N = 458 lines) was planted in Mansfield and Waterville, WA in 2017 and 2018 and genotyped using the Illumina® 90K single nucleotide polymorphism (SNP) array. GWAS identified 100 significant markers across 17 chromosomes, where SNPs on chromosomes 5A and 5B coincided with major freezing tolerance and vernalization loci. Increased number of favorable alleles was related to improved snow mold tolerance. Independent predictions using the AMP as a training population (TP) to predict snow mold tolerance of breeding lines evaluated between 2015 and 2018 resulted in a mean accuracy of 0.36 across models and marker sets. Modeling nonadditive effects improved accuracy even in the absence of a close genetic relatedness between the TP and selection candidates. Selecting lines based on genomic estimated breeding values and tolerance scores resulted in a 24% increase in tolerance. The identified genomic regions associated with snow mold tolerance demonstrated the genetic complexity of this trait and the difficulty in selecting tolerant lines using markers. GS was validated and showed potential for use in PNW winter wheat for selecting on complex traits such tolerance to snow mold.https://www.frontiersin.org/article/10.3389/fpls.2019.01337/fullgenome-wide association studygenomic best linear unbiased predictiongenomic selectionreproducing kernel Hilbert spaceridge regression best linear unbiased predictionsnow mold tolerance
collection DOAJ
language English
format Article
sources DOAJ
author Dennis Lozada
Jayfred V. Godoy
Timothy D. Murray
Brian P. Ward
Arron H. Carter
spellingShingle Dennis Lozada
Jayfred V. Godoy
Timothy D. Murray
Brian P. Ward
Arron H. Carter
Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
Frontiers in Plant Science
genome-wide association study
genomic best linear unbiased prediction
genomic selection
reproducing kernel Hilbert space
ridge regression best linear unbiased prediction
snow mold tolerance
author_facet Dennis Lozada
Jayfred V. Godoy
Timothy D. Murray
Brian P. Ward
Arron H. Carter
author_sort Dennis Lozada
title Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
title_short Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
title_full Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
title_fullStr Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
title_full_unstemmed Genetic Dissection of Snow Mold Tolerance in US Pacific Northwest Winter Wheat Through Genome-Wide Association Study and Genomic Selection
title_sort genetic dissection of snow mold tolerance in us pacific northwest winter wheat through genome-wide association study and genomic selection
publisher Frontiers Media S.A.
series Frontiers in Plant Science
issn 1664-462X
publishDate 2019-10-01
description Snow mold is a yield-limiting disease of wheat in the Pacific Northwest (PNW) region of the US, where there is prolonged snow cover. The objectives of this study were to identify genomic regions associated with snow mold tolerance in a diverse panel of PNW winter wheat lines in a genome-wide association study (GWAS) and to evaluate the usefulness of genomic selection (GS) for snow mold tolerance. An association mapping panel (AMP; N = 458 lines) was planted in Mansfield and Waterville, WA in 2017 and 2018 and genotyped using the Illumina® 90K single nucleotide polymorphism (SNP) array. GWAS identified 100 significant markers across 17 chromosomes, where SNPs on chromosomes 5A and 5B coincided with major freezing tolerance and vernalization loci. Increased number of favorable alleles was related to improved snow mold tolerance. Independent predictions using the AMP as a training population (TP) to predict snow mold tolerance of breeding lines evaluated between 2015 and 2018 resulted in a mean accuracy of 0.36 across models and marker sets. Modeling nonadditive effects improved accuracy even in the absence of a close genetic relatedness between the TP and selection candidates. Selecting lines based on genomic estimated breeding values and tolerance scores resulted in a 24% increase in tolerance. The identified genomic regions associated with snow mold tolerance demonstrated the genetic complexity of this trait and the difficulty in selecting tolerant lines using markers. GS was validated and showed potential for use in PNW winter wheat for selecting on complex traits such tolerance to snow mold.
topic genome-wide association study
genomic best linear unbiased prediction
genomic selection
reproducing kernel Hilbert space
ridge regression best linear unbiased prediction
snow mold tolerance
url https://www.frontiersin.org/article/10.3389/fpls.2019.01337/full
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