Shavrukov Yuri, Suchecki Radoslaw, Eliby Serik, Abugalieva Aigul, Kenebayev Serik, Langridge Peter
Australian Centre for Plant Functional Genomics, University of Adelaide, Waite Campus, Urrbrae, SA 5064, Australia.
Kazakh Research Institute of Agriculture and Crop Production, Almalybak, Kazakhstan.
BMC Plant Biol. 2014 Sep 28;14:258. doi: 10.1186/s12870-014-0258-7.
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.
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.
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.
新的单核苷酸多态性(SNP)标记平台为研究不同地区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,本研究的目的是探索哈萨克斯坦的主要品种与其他地区育种计划中的种质之间的关系。
该研究在十个品种中发现了5898个多态性标记,其中2730个标记被定位到共识遗传图谱中。定位的SNP标记在A和B基因组中几乎平均分布,每个染色体分配有279至484个标记。D基因组中的标记覆盖率约低10倍。有863个SNP标记被鉴定为特定品种所特有,这些标记的簇(包含三个以上紧密定位的独特SNP的区域)在每个品种的共识遗传图谱上显示出特定模式。在三个品种(Tzelinnaya 3C、Kazakhstanskaya rannespelaya和Kazakhstanskaya 15)中鉴定出显著的品种内遗传多态性。基于品种间多态性的系统发育分析表明,非常古老的品种Erythrospermum 841在遗传上与哈萨克斯坦的其他九个品种最为不同,与美国品种Sonora以及中亚和南亚的基因型一起归入一个进化枝。现代品种Kazakhstanskaya 19也与美国品种Thatcher一起归入一个单独的进化枝。其余八个品种共享一个单一的子进化枝,但被分为四个簇。
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,具有标记辅助选择和制备一组基因型特异性标记的潜在应用价值。