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Selection of core SSR markers for fingerprinting upland cotton cultivars and hybrids

机译:陆地棉杂交种指纹图谱核心SSR标记的选择

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Precise identification of cotton cultivars and hybrids is requisite to facilitate management of germplasm resources and successful hybridization programs. Fingerprinting based on minimal core set of highly informative primers will be more enlightening to unveil genetic constitution among cotton cultivars and hybrids from distinct growing regions of china. Thirty-eight upland cotton cultivars and 55 hybrids were selected from three cotton growing regions of china mainland i.e. yellow river cotton valley (YRCV), Yangtze river cotton valley (YzRCV) and north west dry region (NWDR); featured with perceptible climatology. Twelve randomly selected cultivar and hybrids (representative sample of the three regions) were employed to reveal polymorphism across mapped SSRs. Sixty- six genome-covered polymorphic SSRs were employed to assess genetic relatedness among all accessions. The results showed a polymorphism information content range from 0.34-0.86 and resolving power 0.04-2.45 for genome-covered SSRs. Higher PIC and Rp values rendered selection of 13 highly informative potential core SSRs, whose average PIC and Rp values were 0.80 and 1.64, respectively. Moreover, Jaccard’s similarity coefficients of genome-covered and potential core SSRs were compared and found to be related. Potential core SSRs substantiated clustering results of genome-covered SSRs and successfully discriminated all accession. Overall clustering pattern and revealed genetic constitution of tested material suggested that the 13 potential core SSRs could assure comparable results with higher resolution as compared to that of genome-covered SSRs.
机译:准确鉴定棉花品种和杂种是促进种质资源管理和成功杂交计划的必要条件。基于高信息量引物的最小核心集的指纹识别将更加有启发性,以揭示来自中国不同生长地区的棉花品种和杂种的遗传构成。从中国大陆的三个棉花种植​​区中选择了38个陆地棉品种和55个杂交品种,即黄河棉谷(YRCV),长江棉谷(YzRCV)和西北干旱地区(NWDR);气候特征明显。十二个随机选择的品种和杂种(三个区域的代表性样本)被用来揭示跨SSR的多态性。使用66个基因组覆盖的多态性SSR来评估所有种质之间的遗传相关性。结果表明,基因组覆盖的SSRs的多态性信息含量范围为0.34-0.86,分辨力为0.04-2.45。较高的PIC和Rp值选择了13个具有丰富信息的潜在核心SSR,它们的平均PIC和Rp值分别为0.80和1.64。此外,比较了杰卡德(Jaccard)覆盖的基因组和潜在核心SSR的相似系数,发现它们之间存在相关性。潜在的核心SSR证实了基因组覆盖的SSR的聚类结果,并成功地区分了所有种质。总体聚类模式和被测材料的遗传组成表明,与基因组覆盖的SSR相比,13个潜在的核心SSR可以确保具有更高分辨率的可比结果。

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