首页> 外文会议>Advance in barley sciences : proceedings of 11th international barley genetics symposium >Large Population with Low Marker Density Verse Small Population with High Marker Density for QTL Mapping: A Case Study for Mapping QTL Controlling Barley Net Blotch Resistance
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Large Population with Low Marker Density Verse Small Population with High Marker Density for QTL Mapping: A Case Study for Mapping QTL Controlling Barley Net Blotch Resistance

机译:低标记密度的大种群与QTL映射的高标记密度的小种群:以控制大麦净抗斑点性的QTL作图的案例研究

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摘要

The development of array-based high throughput genotyping methods created significant opportunities to increase the number of genetic populations for linkage analysis. In the present study, a strategy was proposed for mapping QTLs (quantitative trait loci) based on DArT (diversity arrays technology) genotyping system. A consensus linkage map was constructed with both DArT and SSR markers by utilizing a sub-group DH population, and a second linkage map was constructed with SSR markers alone and a more extensive full DH population. Resistance to barley net type net blotch disease was analyzed using the sub-population data with the high-density consensus linkage map and the full-population data with the low-density SSR linkage map, respectively. Two interactive QTLs were detected either by the sub- or full-population. Simulation studies were conducted to validate the strategy presented in this paper. In addition, a computer program written in C++ is freely available on the web to deal with the data files. Based on both real data analysis and simulation studies, we concluded that high density molecular markers, small population size and precise phenotyping can improve the precision of mapping major-effect QTL and the efficiency of conducting QTL mapping experiment.
机译:基于阵列的高通量基因分型方法的发展为增加用于连锁分析的遗传种群数量创造了重大机会。在本研究中,提出了一种基于DArT(多样性阵列技术)基因分型系统的QTL(定量性状基因座)作图策略。利用亚组DH群体,用DArT和SSR标记构建了一个共有连锁图,而第二个连锁图是仅用SSR标记和更广泛的完整DH群体构建的。分别使用具有高密度共有连锁图的亚群数据和具有低密度SSR连锁图的全群数据来分析对大麦网型网斑病的抗性。通过子种群或全部种群检测到两个交互式QTL。进行了仿真研究以验证本文提出的策略。此外,网上可以免费使用用C ++编写的计算机程序来处理数据文件。基于实际数据分析和模拟研究,我们得出结论,高密度分子标记,小种群大小和精确的表型可以提高主要效应QTL的定位精度和QTL定位实验的效率。

著录项

  • 来源
  • 会议地点 Hangzhou(CN)
  • 作者单位

    College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China Department of Agriculture Food Western Australia, 3 Baron-Hay Court, South Perth, WA6151, Australia;

    Department of Agriculture Food Western Australia, 3 Baron-Hay Court, South Perth, WA6151, Australia Western Australia State Agricultural Biotechnology Centre, Murdoch University. WA6150, Australia;

    Department of Agriculture Food Western Australia, 3 Baron-Hay Court, South Perth, WA6151, Australia Western Australia State Agricultural Biotechnology Centre, Murdoch University. WA6150, Australia;

    Western Australia State Agricultural Biotechnology Centre, Murdoch University. WA6150, Australia;

    Department of Agriculture Food Western Australia, 3 Baron-Hay Court, South Perth, WA6151, Australia;

    College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China;

    Department of Agriculture Food Western Australia, 3 Baron-Hay Court, South Perth, WA6151, Australia;

    College of Agriculture and Biotechnology, Zhejiang University, Hangzhou, 310029, China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 S512.303.2;
  • 关键词

    Quantitative trait locus; Diversity arrays technology; Population sze; Marker dnsity;

    机译:数量性状位点;分集阵列技术;人口规模;标记密度;
  • 入库时间 2022-08-26 13:57:26

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