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      Genome Wide Association Study of Seedling and Adult Plant Leaf Rust Resistance in Elite Spring Wheat Breeding Lines

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          Abstract

          Leaf rust is an important disease, threatening wheat production annually. Identification of resistance genes or QTLs for effective field resistance could greatly enhance our ability to breed durably resistant varieties. We applied a genome wide association study (GWAS) approach to identify resistance genes or QTLs in 338 spring wheat breeding lines from public and private sectors that were predominately developed in the Americas. A total of 46 QTLs were identified for field and seedling traits and approximately 20–30 confer field resistance in varying degrees. The 10 QTLs accounting for the most variation in field resistance explained 26–30% of the total variation (depending on traits: percent severity, coefficient of infection or response type). Similarly, the 10 QTLs accounting for most of the variation in seedling resistance to different races explained 24–34% of the variation, after correcting for population structure. Two potentially novel QTLs (QLr.umn-1AL, QLr.umn-4AS) were identified. Identification of novel genes or QTLs and validation of previously identified genes or QTLs for seedling and especially adult plant resistance will enhance understanding of leaf rust resistance and assist breeding for resistant wheat varieties. We also developed computer programs to automate field and seedling rust phenotype data conversions. This is the first GWAS study of leaf rust resistance in elite wheat breeding lines genotyped with high density 90K SNP arrays.

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          Most cited references13

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          A putative ABC transporter confers durable resistance to multiple fungal pathogens in wheat.

          Agricultural crops benefit from resistance to pathogens that endures over years and generations of both pest and crop. Durable disease resistance, which may be partial or complete, can be controlled by several genes. Some of the most devastating fungal pathogens in wheat are leaf rust, stripe rust, and powdery mildew. The wheat gene Lr34 has supported resistance to these pathogens for more than 50 years. Lr34 is now shared by wheat cultivars around the world. Here, we show that the LR34 protein resembles adenosine triphosphate-binding cassette transporters of the pleiotropic drug resistance subfamily. Alleles of Lr34 conferring resistance or susceptibility differ by three genetic polymorphisms. The Lr34 gene, which functions in the adult plant, stimulates senescence-like processes in the flag leaf tips and edges.
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            Prioritizing GWAS results: A review of statistical methods and recommendations for their application.

            Genome-wide association studies (GWAS) have rapidly become a standard method for disease gene discovery. A substantial number of recent GWAS indicate that for most disorders, only a few common variants are implicated and the associated SNPs explain only a small fraction of the genetic risk. This review is written from the viewpoint that findings from the GWAS provide preliminary genetic information that is available for additional analysis by statistical procedures that accumulate evidence, and that these secondary analyses are very likely to provide valuable information that will help prioritize the strongest constellations of results. We review and discuss three analytic methods to combine preliminary GWAS statistics to identify genes, alleles, and pathways for deeper investigations. Meta-analysis seeks to pool information from multiple GWAS to increase the chances of finding true positives among the false positives and provides a way to combine associations across GWAS, even when the original data are unavailable. Testing for epistasis within a single GWAS study can identify the stronger results that are revealed when genes interact. Pathway analysis of GWAS results is used to prioritize genes and pathways within a biological context. Following a GWAS, association results can be assigned to pathways and tested in aggregate with computational tools and pathway databases. Reviews of published methods with recommendations for their application are provided within the framework for each approach. 2010 The American Society of Human Genetics. Published by Elsevier Inc.
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              Association genetics in crop improvement.

              Increased availability of high throughput genotyping technology together with advances in DNA sequencing and in the development of statistical methodology appropriate for genome-wide association scan mapping in presence of considerable population structure contributed to the increased interest association mapping in plants. While most published studies in crop species are candidate gene-based, genome-wide studies are on the increase. New types of populations providing for increased resolution and power of detection of modest-size effects and for the analysis of epistatic interactions have been developed. Classical biparental mapping remains the method of choice for mapping the effects of alleles rare in germplasm collections, such as some disease resistance genes or alleles introgressed from exotic germplasm.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                5 February 2016
                2016
                : 11
                : 2
                : e0148671
                Affiliations
                [1 ]University of Minnesota, Department of Agronomy and Plant Genetics, St. Paul, MN, 55108, United States of America
                [2 ]USDA-ARS Cereal Disease Laboratory, St. Paul, MN, 55108, United States of America
                [3 ]University of Minnesota, Department of Plant Pathology, St. Paul, MN, 55108, United States of America
                [4 ]USDA-ARS Biosciences Research Lab, Fargo, ND, 58102, United States of America
                Mahatma Phule Agricultural University, INDIA
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Conceived and designed the experiments: LG MKT JK JAA. Performed the experiments: LG MKT SC. Analyzed the data: LG. Contributed reagents/materials/analysis tools: JK JAA. Wrote the paper: LG MKT.

                Article
                PONE-D-15-51226
                10.1371/journal.pone.0148671
                4744023
                26849364
                e7cf127e-117c-4323-a96c-52c6466a0a75

                This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

                History
                : 24 November 2015
                : 21 January 2016
                Page count
                Figures: 7, Tables: 3, Pages: 25
                Funding
                This study is part of the Triticeae Coordinated Agriculture Project (TCAP, www.triticeaecap.org), funded by the United States Department of Agriculture National Institute of Food and Agriculture (USDA-NIFA) grant no. 2011-68002-30029.
                Categories
                Research Article
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Quantitative Trait Loci
                Biology and Life Sciences
                Organisms
                Plants
                Seedlings
                Biology and Life Sciences
                Plant Science
                Plant Anatomy
                Leaves
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Genome-Wide Association Studies
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Genome-Wide Association Studies
                Biology and Life Sciences
                Genetics
                Human Genetics
                Genome-Wide Association Studies
                Biology and Life Sciences
                Genetics
                Genetic Loci
                Biology and Life Sciences
                Agriculture
                Crop Science
                Crops
                Cereal Crops
                Wheat
                Biology and Life Sciences
                Organisms
                Plants
                Grasses
                Wheat
                Biology and Life Sciences
                Genetics
                Genomics
                Biology and Life Sciences
                Genetics
                Genomics
                Plant Genomics
                Biology and Life Sciences
                Biotechnology
                Plant Biotechnology
                Plant Genomics
                Biology and Life Sciences
                Plant Science
                Plant Biotechnology
                Plant Genomics
                Biology and Life Sciences
                Genetics
                Plant Genetics
                Plant Genomics
                Biology and Life Sciences
                Plant Science
                Plant Genetics
                Plant Genomics
                Custom metadata
                T3 database ( http://triticeaetoolbox.org/wheat/).

                Uncategorized
                Uncategorized

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