...
首页> 外文期刊>Molecular Breeding >Development of a leafy Brassica rapa fixed line collection for genetic diversity and population structure analysis
【24h】

Development of a leafy Brassica rapa fixed line collection for genetic diversity and population structure analysis

机译:开发用于遗传多样性和种群结构分析的多叶芸苔油菜固定线集合

获取原文
获取原文并翻译 | 示例
           

摘要

Brassica rapa is an economically important crop with a wide range of morphologies. Developing a set of fixed lines and understanding their diversity has been challenging, but facilitates resource conservation. We investigated the genetic diversity and population structure of 238 fixed lines of leafy B. rapa with 45 new simple sequence repeat markers and 109 new NGS (next-generation sequencing)-generated single nucleotide polymorphism markers evenly distributed throughout the B. rapa genome. Phylogenetic analysis classified the vegetable fixed lines into four subgroups, with the three oil types forming a separate and relatively distant cluster. A model-based population structure analysis identified four subpopulations corresponding to geographical origins and morphological traits, and revealed extensive allelic admixture. In particular, the Chinese cabbage cluster was subdivided into three groups and showed considerable correlation with leaf-and heading-related traits (leaf and heading shape). The vegetable B. rapa fixed lines successfully developed in our study could be valuable materials for establishing a multinational Brassica rapa diversity resource. Understanding the genetic diversity and population structure could be useful for utilization of the representative genetic variation and further genomic analysis.
机译:甘蓝型油菜是一种经济上重要的农作物,形态多样。开发一组固定线路并了解它们的多样性一直是一项挑战,但有助于资源节约。我们调查了238个叶状芜菁固定系的遗传多样性和种群结构,该系具有45个新的简单序列重复标记和109个新的NGS(下一代测序)生成的单核苷酸多态性标记,这些标记均匀分布在整个B. rapa基因组中。系统发育分析将蔬菜固定线分为四个亚组,这三种类型的油形成了一个独立且相对较远的簇。基于模型的种群结构分析确定了对应于地理起源和形态特征的四个亚种群,并揭示了广泛的等位基因混合。尤其是,大白菜簇被分为三类,并显示出与叶片和抽穗相关的性状(叶片和抽穗形状)的显着相关性。在我们的研究中成功开发的蔬菜B. rapa固定系可能是建立跨国芸Bra属植物多样性资源的宝贵材料。了解遗传多样性和种群结构可能有助于利用代表性遗传变异和进一步的基因组分析。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号