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Genetic diversity assessment of sesame core collection in China by phenotype and molecular markers and extraction of a mini-core collection

机译:利用表型和分子标记评估中国芝麻核心种质的遗传多样性并提取迷你核心种质

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Background Sesame (Sesamum indicum L.) is one of the four major oil crops in China. A sesame core collection (CC) was established in China in 2000, but no complete study on its genetic diversity has been carried out at either the phenotypic or molecular level. To provide technical guidance, a theoretical basis for further collection, effective protection, reasonable application, and a complete analysis of sesame genetic resources, a genetic diversity assessment of the sesame CC in China was conducted using phenotypic and molecular data and by extracting a sesame mini-core collection (MC). Results Results from a genetic diversity assessment of sesame CC in China were significantly inconsistent at the phenotypic and molecular levels. A Mantel test revealed the insignificant correlation between phenotype and molecular marker information (r = 0.0043, t = 0.1320, P = 0.5525). The Shannon-Weaver diversity index (I) and Nei genetic diversity index (h) were higher (I = 0.9537, h = 0.5490) when calculated using phenotypic data from the CC than when using molecular data (I = 0.3467, h = 0.2218). A mini-core collection (MC) containing 184 accessions was extracted based on both phenotypic and molecular data, with a low mean difference percentage (MD, 1.64%), low variance difference percentage (VD, 22.58%), large variable rate of coefficient of variance (VR, 114.86%), and large coincidence rate of range (CR, 95.76%). For molecular data, the diversity indices and the polymorphism information content (PIC) for the MC were significantly higher than for the CC. Compared to an alternative random sampling strategy, the advantages of capturing genetic diversity and validation by extracting a MC using an advanced maximization strategy were proven. Conclusions This study provides a comprehensive characterization of the phenotypic and molecular genetic diversities of the sesame CC in China. A MC was extracted using both phenotypic and molecular data. Low MD% and VD%, and large VR% and CR% suggested that the MC provides a good representation of the genetic diversity of the original CC. The MC was more genetically diverse with higher diversity indices and a higher PIC value than the CC. A MC may aid in reasonably and efficiently selecting materials for sesame breeding and for genotypic biological studies, and may also be used as a population for association mapping in sesame.
机译:背景芝麻(Sesamum indicum L.)是中国四种主要的油料作物之一。中国于2000年建立了芝麻核心种质(CC),但尚未在表型或分子水平上对其遗传多样性进行完整的研究。为提供技术指导,进一步收集,有效保护,合理使用和全面分析芝麻遗传资源的理论基础,利用表型和分子数据并通过提取芝麻小粒对中国芝麻CC进行了遗传多样性评估。核心集合(MC)。结果中国芝麻CC的遗传多样性评估结果在表型和分子水平上明显不一致。一项Mantel测试表明,表型与分子标记信息之间无显着相关性(r = 0.0043,t = 0.1320,P = 0.5525)。使用CC的表型数据计算得出的Shannon-Weaver多样性指数(I)和Nei遗传多样性指数(h)高于使用分子数据时(I = 0.3467,h = 0.2218)(I = 0.9537,h = 0.5490) 。根据表型和分子数据提取包含184个登录件的微型核心馆藏(MC),其平均差异百分比(MD,1.64%)低,方差差异百分比(VD,22.58%)低,系数的可变率大差异(VR,114.86%)和大范围重合率(CR,95.76%)。对于分子数据,MC的多样性指数和多态信息含量(PIC)显着高于CC。与替代随机抽样策略相比,已证明了通过使用高级最大化策略提取MC来捕获遗传多样性和进行验证的优势。结论本研究为中国芝麻CC的表型和分子遗传多样性提供了全面的表征。使用表型和分子数据提取MC。 MD%和VD%较低,VR%和CR%较高,表明MC可很好地代表原始CC的遗传多样性。与CC相比,MC的遗传多样性更高,多样性指数更高,PIC值更高。 MC可以帮助合理而有效地选择用于芝麻育种和基因型生物学研究的材料,也可以用作芝麻关联图的种群。

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