山东省农业科学院作物研究所
公益性行业(农业)科研专项项目(200903008)
Crop Research Institute, Shandong Academy of Agricultural Sciences
Public welfare industry (Agriculture) research projects
为解决 DUS 测试中特异性测试近似品种筛选难的问题,本研究基于 2256 份 DUS 测试小麦已知品种构建 DNA 指纹数据库。首先利用 81 个 SSR 标记对 96 份小麦品种进行遗传相似度分析。结果表明,在 81个 SSR 标记的 84 个位点上共检测到 731 个等位变异,每个位点的等位变异数在 3-16 之间,多态性信息指数(PIC)变化范围为 0.24-0.82。选取 42 个 SSR 标记构建了 2256 份小麦品种 DNA 指纹数据库,共获得 148493个数据,数据缺失率在 5%以内。对 176 份小麦品种进行 DNA 指纹数据采集和特异性测试,结果表明不具有特异性的申请品种与其最近似品种的遗传相似度都在 90%以上;本研究基于 42 对 SSR 荧光标记引物构建了我国小麦 DUS 测试已知品种的 DNA 指纹数据库,确定近似品种筛选的遗传相似度阈值为 80%,建议将与申请品种遗传相似度高于 80%的已知品种作为近似品种进行田间种植和特异性评价。
Based on 2,256 common wheat reference varieties for DUS test in China, a DNA profile database was established to assist in distinctness test. We first analyzed the DNA profiles of 96 reference varieties using 81 fluorescently labeled SSR markers. A total of 731 alleles were detected with the number of alleles varying between 3 and 16 and the PIC values from 0.24 to 0.82. A DNA profile database consiting of 2256 wheat reference varieties was constructed using 42 fluorescently labeled SSR markers. A total of 148,493 datapoint were included with a missing rate of less than 5%. The genetic and genotypic datasets of 176 wheat varieties were collected and analyzed. The genetic similarities between the non-distinct candidate varieties and their most similar vairieties were above 90%. The candidate varieties with a genetic similarity of over 80% are assumed to be similar varieties, which are suggested to be further investigated for phenotypic variations in the field.
郑永胜,张晗,王雪梅,等.小麦DUS测试已知品种DNA指纹数据库构建及其应用[J].植物遗传资源学报,2019,20(4):845-853.
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