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Diversity and linkage disequilibrium features in a composite public/private dent maize panel: consequences for association genetics as evaluated from a case study using flowering time

机译:混合/非结合型凹齿玉米组合中的多样性和连锁不平衡特征:根据使用开花时间的案例研究评估的协会遗传学后果

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摘要

Recent progress in genotyping and resequencing techniques have opened new opportunities for deciphering quantitative trait variation by looking for associations between traits of interest and polymorphisms in panels of diverse inbred lines. Association mapping raises specific issues related to the choice of appropriate (i) panels and marker-densities and (ii) statistical methods to capture associations. In this study, we used a panel of 314 maize inbred lines from the dent pool, composed of inbred material from public institutes (113 inbred lines) and a private company (201 inbred lines). We showed that local LD was higher and genetic diversity lower in the material of private origin than in the public material. We compared the results obtained by different software for identifying population structure and computing relatedness among lines, and ran association tests for earliness related traits. Our results confirmed the importance of the mite polymorphism of Vgt1 on flowering time, but also showed that its effect can be captured by zmRap2.7 polymorphisms located 70 kb apart. We also highlighted associations with polymorphisms within genes putatively involved in lignin biosynthesis pathway, which deserve further investigations.
机译:基因分型和重测序技术的最新进展为寻找不同自交系群体中感兴趣的性状与多态性之间的关联提供了破译定量性状变异的新机会。关联映射提出了与选择合适的(i)面板和标记密度以及(ii)捕获关联的统计方法有关的特定问题。在这项研究中,我们使用了一组来自凹痕池的314个玉米自交系,由来自公共机构(113个自交系)和一家私营公司(201个自交系)的自交材料组成。我们发现,私人来源的材料比公共物品的本地LD更高,遗传多样性更低。我们比较了通过不同软件识别种群结构和计算品系间相关性的结果,并进行了与早期相关性状的关联测试。我们的结果证实了Vgt1的螨虫多态性对开花时间的重要性,但也表明,可以通过相距70 kb的zmRap2.7多态性来捕获其效应。我们还强调了与木质素生物合成途径的基因中的多态性的关联,值得进一步研究。

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  • 来源
    《Theoretical and Applied Genetics》 |2012年第4期|731-747|共17页
  • 作者单位

    INRA UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

    Molecular Breeding Syngenta Seeds Saint-Sauveur France;

    Molecular Breeding Syngenta Seeds Saint-Sauveur France;

    INRA UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

    Université d’Orsay UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

    Molecular Breeding Syngenta Seeds Saint-Sauveur France;

    Markers laboratory Syngenta Seeds Saint-Sauveur France;

    Markers laboratory Syngenta Seeds Saint-Sauveur France;

    Bioinformatics Syngenta Seeds Saint-Sauveur France;

    Bioinformatics Syngenta Seeds Saint-Sauveur France;

    INRA UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

    Molecular Breeding Syngenta Seeds Saint-Sauveur France;

    INRA UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

    INRA UMR de Genetique Vegetale INRA/Université Paris-Sud/CNRS Gif-sur-Yvette France;

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