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Application of next-generation sequencing technology to study genetic diversity and identify unique SNP markers in bread wheat from Kazakhstan

机译:应用下一代测序技术研究哈萨克斯坦面包小麦的遗传多样性并鉴定独特的SNP标记

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Background New SNP marker platforms offer the opportunity to investigate the relationships between wheat cultivars from different regions and assess the mechanism and processes that have led to adaptation to particular production environments. Wheat breeding has a long history in Kazakhstan and the aim of this study was to explore the relationship between key varieties from Kazakhstan and germplasm from breeding programs for other regions. Results The study revealed 5,898 polymorphic markers amongst ten cultivars, of which 2,730 were mapped in the consensus genetic map. Mapped SNP markers were distributed almost equally across the A and B genomes, with between 279 and 484 markers assigned to each chromosome. Marker coverage was approximately 10-fold lower in the D genome. There were 863 SNP markers identified as unique to specific cultivars, and clusters of these markers (regions containing more than three closely mapped unique SNPs) showed specific patterns on the consensus genetic map for each cultivar. Significant intra-varietal genetic polymorphism was identified in three cultivars (Tzelinnaya 3C, Kazakhstanskaya rannespelaya and Kazakhstanskaya 15). Phylogenetic analysis based on inter-varietal polymorphism showed that the very old cultivar Erythrospermum 841 was the most genetically distinct from the other nine cultivars from Kazakhstan, falling in a clade together with the American cultivar Sonora and genotypes from Central and South Asia. The modern cultivar Kazakhstanskaya 19 also fell into a separate clade, together with the American cultivar Thatcher. The remaining eight cultivars shared a single sub-clade but were categorised into four clusters. Conclusion The accumulated data for SNP marker polymorphisms amongst bread wheat genotypes from Kazakhstan may be used for studying genetic diversity in bread wheat, with potential application for marker-assisted selection and the preparation of a set of genotype-specific markers.
机译:背景技术新的SNP标记平台为研究来自不同地区的小麦品种之间的关系以及评估导致适应特定生产环境的机制和过程提供了机会。哈萨克斯坦的小麦育种历史悠久,旨在研究哈萨克斯坦关键品种与其他地区育种计划的种质之间的关系。结果研究揭示了10个品种中的5,898个多态性标记,其中共有2,730个在遗传图谱中定位。映射的SNP标记几乎平均分布在A和B基因组中,每个染色体分配了279至484个标记。 D基因组中的标记覆盖率大约低10倍。有863个SNP标记被确定为特定品种所特有,这些标记的簇(包含三个以上紧密贴图的独特SNP的区域)在每个品种的共有遗传图谱上显示出特定的模式。在三个品种(Tzelinnaya 3C,Kazakhstanskaya rannespelaya和Kazakhstanskaya 15)中发现了重要的品种内遗传多态性。基于品种间多态性的系统进化分析表明,非常古老的品种Erythrospermum 841与来自哈萨克斯坦的其他9个品种在遗传上最不相同,与美国的Sonora品种和中亚和南亚的基因型一起落入一个分支。现代的哈萨克斯坦品种哈萨克斯坦19也与美国撒切尔品种一起落入了一个单独的分支。其余的八个品种共享一个子类别,但被分为四个集群。结论哈萨克斯坦面包小麦基因型中SNP标记多态性的累积数据可用于研究面包小麦的遗传多样性,在标记辅助选择和制备一组基因型特异性标记上有潜在的应用价值。

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