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      Genome-wide association mapping and Identification of candidate genes for fatty acid composition in Brassica napus L. using SNP markers

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          Abstract

          Background

          B. napus (oilseed) is an important source of edible vegetable oil, and its nutritional and economic value is determined by its fatty acid composition and content.

          Results

          Using the Brassica 60 K SNP array, we performed a genome-wide association study of fatty acid composition in a population of 520 genetically diverse oilseed accessions. Using the PCA + K model in TASSEL 5.2.1, we identified 62 genomic regions that were significantly associated with the composition of seven fatty acids, and five consensus regions that mapped to the A2, A8, A9, C1, and C3 chromosomes, respectively, of the Brassica napus Darmor -bzh genome. We then identified 24 orthologs of the functional candidate genes involved in fatty acid biosynthesis, excluding BnaA.FAE1 and BnaC.FAE1 on the A8 and C3 homologous genome blocks, which are known to have critical roles in the fatty acid biosynthesis pathway, and potential orthologs of these genes (e.g., LACS9, KCR1, FAB1, LPAT4, KCS17, CER4, TT16, and ACBP5).

          Conclusions

          Our results demonstrate the power of association mapping in identifying genes of interest in B. napus and provide insight into the genetic basis of fatty acid biosynthesis in B. napus. Furthermore, our findings may facilitate marker-based breeding efforts aimed at improving fatty acid composition and quality in B. napus.

          Electronic supplementary material

          The online version of this article (doi:10.1186/s12864-017-3607-8) contains supplementary material, which is available to authorized users.

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          Most cited references59

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          Methods for linkage disequilibrium mapping in crops.

          Linkage disequilibrium (LD) mapping in plants detects and locates quantitative trait loci (QTL) by the strength of the correlation between a trait and a marker. It offers greater precision in QTL location than family-based linkage analysis and should therefore lead to more efficient marker-assisted selection, facilitate gene discovery and help to meet the challenge of connecting sequence diversity with heritable phenotypic differences. Unlike family-based linkage analysis, LD mapping does not require family or pedigree information and can be applied to a range of experimental and non-experimental populations. However, care must be taken during analysis to control for the increased rate of false positive results arising from population structure and variety interrelationships. In this review, we discuss how suitable the recently developed alternative methods of LD mapping are for crops.
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            The extent of linkage disequilibrium in Arabidopsis thaliana.

            Linkage disequilibrium (LD), the nonrandom occurrence of alleles in haplotypes, has long been of interest to population geneticists. Recently, the rapidly increasing availability of genomic polymorphism data has fueled interest in LD as a tool for fine-scale mapping, in particular for human disease loci. The chromosomal extent of LD is crucial in this context, because it determines how dense a map must be for associations to be detected and, conversely, limits how finely loci may be mapped. Arabidopsis thaliana is expected to harbor unusually extensive LD because of its high degree of selfing. Several polymorphism studies have found very strong LD within individual loci, but also evidence of some recombination. Here we investigate the pattern of LD on a genomic scale and show that in global samples, LD decays within approximately 1 cM, or 250 kb. We also show that LD in local populations may be much stronger than that of global populations, presumably as a result of founder events. The combination of a relatively high level of polymorphism and extensive haplotype structure bodes well for developing a genome-wide LD map in A. thaliana.
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              Linkage disequilibrium mapping of yield and yield stability in modern spring barley cultivars.

              Associations between markers and complex quantitative traits were investigated in a collection of 146 modern two-row spring barley cultivars, representing the current commercial germ plasm in Europe. Using 236 AFLP markers, associations between markers were found for markers as far apart as 10 cM. Subsequently, for the 146 cultivars the complex traits mean yield, adaptability (Finlay-Wilkinson slope), and stability (deviations from regression) were estimated from the analysis of variety trial data. Regression of those traits on individual marker data disclosed marker-trait associations for mean yield and yield stability. Support for identified associations was obtained from association profiles, i.e., from plots of P-values against chromosome positions. In addition, many of the associated markers were located in regions where earlier QTL were found for yield and yield components. To study the oligogenic genetic base of the traits in more detail, multiple linear regression of the traits on markers was carried out, using stepwise selection. By this procedure, 18-20 markers that accounted for 40-58% of the variation were selected. Our results indicate that association mapping approaches can be a viable alternative to classical QTL approaches based on crosses between inbred lines, especially for complex traits with costly measurements.
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                Author and article information

                Contributors
                ruiwang71@163.com
                ljn1950@swu.edu.cn
                Journal
                BMC Genomics
                BMC Genomics
                BMC Genomics
                BioMed Central (London )
                1471-2164
                14 March 2017
                14 March 2017
                2017
                : 18
                : 232
                Affiliations
                [1 ]GRID grid.263906.8, Chongqing Engineering Research Center for Rapeseed, College of Agronomy and Biotechnology, , Southwest University, ; Chongqing, 400716 China
                [2 ]GRID grid.263906.8, Engineering Research Center of South Upland Agriculture of Ministry of Education, , Southwest University, ; Beibei, Chongqing, 400716 China
                [3 ]ISNI 0000 0004 1937 2197, GRID grid.169077.e, Department of Botany and Plant Pathology, , Purdue University, ; 915 W. State Street, West Lafayette, IN 47907-2054 USA
                Author information
                http://orcid.org/0000-0003-2413-2350
                Article
                3607
                10.1186/s12864-017-3607-8
                5351109
                28292259
                c69e4a33-980d-4e60-8fe0-434576ad2690
                © The Author(s). 2017

                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
                : 3 August 2016
                : 3 March 2017
                Funding
                Funded by: the utilization of heterosis and selection of strong advantage of hybrid
                Award ID: 2016YFD0101300
                Award Recipient :
                Funded by: the 973 Project
                Award ID: 2015CB150201
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 31401412
                Award ID: 31571701
                Award Recipient :
                Funded by: National Natural Science Foundation of China (CN)
                Award ID: U1302266
                Award Recipient :
                Funded by: Projects in the National Science and Technology Pillar Program
                Award ID: 2013BAD01B03-12
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/501100004543, China Scholarship Council;
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Genetics
                association mapping,brassica napus l,candidate gene,fatty acid components,single nucleotide polymorphism (snp)

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