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      Characterization of molecular diversity and genome-wide association study of stripe rust resistance at the adult plant stage in Northern Chinese wheat landraces

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          Abstract

          Background

          Stripe rust is a serious fungal disease of wheat ( Triticum aestivum L.) caused by Puccinia striiformis f. sp. tritici ( Pst), which results in yield reduction and decreased grain quality. Breeding for genetic resistance to stripe rust is the most cost-effective method to control the disease. In the present study, a genome-wide association study (GWAS) was conducted to identify markers linked to stripe rust resistance genes (or loci) in 93 Northern Chinese wheat landraces, using Diversity Arrays Technology (DArT) and simple sequence repeat (SSR) molecular marker technology based on phenotypic data from two field locations over two growing seasons in China.

          Results

          Seventeen accessions were verified to display stable and high levels of adult plant resistance (APR) to stripe rust via multi-environment field assessments. Significant correlations among environments and high heritability were observed for stripe rust infection type (IT) and disease severity (DS). Using mixed linear models (MLM) for the GWAS, a total of 32 significantly associated loci ( P < 0.001) were detected. In combination with the linkage disequilibrium (LD) decay distance (6.4 cM), 25 quantitative trait loci (QTL) were identified. Based on the integrated map of previously reported genes and QTL, six QTL located on chromosomes 4A, 6A and 7D were mapped far from resistance regions identified previously, and represent potentially novel stripe rust resistance loci at the adult plant stage.

          Conclusions

          The present findings demonstrated that identification of genes or loci linked to significant markers in wheat by GWAS is feasible. Seventeen elite accessions conferred with stable and high resistance to stripe rust, and six putative newly detected APR loci were identified among the 93 Northern Chinese wheat landraces. The results illustrate the potential for acceleration of molecular breeding of wheat, and also provide novel sources of stripe rust resistance with potential utility in the breeding of improved wheat cultivars.

          Electronic supplementary material

          The online version of this article (10.1186/s12863-019-0736-x) contains supplementary material, which is available to authorized users.

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          Most cited references63

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          Association mapping in structured populations.

          The use, in association studies, of the forthcoming dense genomewide collection of single-nucleotide polymorphisms (SNPs) has been heralded as a potential breakthrough in the study of the genetic basis of common complex disorders. A serious problem with association mapping is that population structure can lead to spurious associations between a candidate marker and a phenotype. One common solution has been to abandon case-control studies in favor of family-based tests of association, such as the transmission/disequilibrium test (TDT), but this comes at a considerable cost in the need to collect DNA from close relatives of affected individuals. In this article we describe a novel, statistically valid, method for case-control association studies in structured populations. Our method uses a set of unlinked genetic markers to infer details of population structure, and to estimate the ancestry of sampled individuals, before using this information to test for associations within subpopulations. It provides power comparable with the TDT in many settings and may substantially outperform it if there are conflicting associations in different subpopulations.
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            qqman: an R package for visualizing GWAS results using Q-Q and manhattan plots

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              Epidemiology and control of stripe rust [Puccinia striiformisf. sp.tritici] on wheat

              X.M. Chen (2005)
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                Author and article information

                Contributors
                913302671@qq.com
                1003535464@qq.com
                892617189@qq.com
                1351343506@qq.com
                763121350@qq.com
                2419699271@qq.com
                453165085@qq.com
                2641390301@qq.com
                1363797694@qq.com
                jirui.wang@gmail.com
                qiantaojiang@sicau.edu.cn
                35122863@qq.com
                jianma@sicau.edu.cn
                ymwei@sicau.edu.cn
                ylzheng@sicau.edu.cn
                +86-028-86290952 , gychen@sicau.edu.cn
                Journal
                BMC Genet
                BMC Genet
                BMC Genetics
                BioMed Central (London )
                1471-2156
                26 March 2019
                26 March 2019
                2019
                : 20
                : 38
                Affiliations
                [1 ]ISNI 0000 0001 0185 3134, GRID grid.80510.3c, Triticeae Research Institute, , Sichuan Agricultural University, ; Wenjiang, Chengdu, Sichuan 611130 People’s Republic of China
                [2 ]ISNI 0000 0001 0185 3134, GRID grid.80510.3c, State Key Laboratory of Crop Genetics of Disease Resistance and Disease Control, , Sichuan Agricultural University, ; Wenjiang, Chengdu, Sichuan 611130 People’s Republic of China
                [3 ]ISNI 0000 0001 0185 3134, GRID grid.80510.3c, College of Agronomy, Sichuan Agricultural University, ; Wenjiang, Chengdu, Sichuan 611130 People’s Republic of China
                Author information
                http://orcid.org/0000-0001-7928-9334
                Article
                736
                10.1186/s12863-019-0736-x
                6434810
                30914040
                0f78293e-633d-4d5c-a41e-4202483d7d34
                © The Author(s). 2019

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 17 September 2018
                : 3 March 2019
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2019

                Genetics
                wheat,landrace,stripe rust,genome-wide association study,diversity arrays technology,simple sequence repeat

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