首页> 外文期刊>Theoretical and Applied Genetics: International Journal of Breeding Research and Cell Genetics >Genetic diversity and population structure of pea (Pisum sativum L.) varieties derived from combined retrotransposon, microsatellite and morphological marker analysis.
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Genetic diversity and population structure of pea (Pisum sativum L.) varieties derived from combined retrotransposon, microsatellite and morphological marker analysis.

机译:逆转座子,微卫星和形态标记分析相结合的豌豆(Pisum sativum L.)品种的遗传多样性和种群结构。

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摘要

One hundred and sixty-four accessions representing Czech and Slovak pea (Pisum sativum L.) varieties bred over the last 50 years were evaluated for genetic diversity using morphological, simple sequence repeat (SSR) and retrotransposon-based insertion polymorphism (RBIP) markers. Polymorphic information content (PIC) values of 10 SSR loci and 31 RBIP markers were on average high at 0.89 and 0.73, respectively. The silhouette method after the Ward clustering produced the most probable cluster estimate, identifying nine clusters from molecular data and five to seven clusters from morphological characters. Principal component analysis of nine qualitative and eight quantitative morphological parameters explain over 90 and 93% of total variability, respectively, in the first three axes. Multidimensional scaling of molecular data revealed a continuous structure for the set. To enable integration and evaluation of all data types, a Bayesian method for clustering was applied. Three clusters identified using morphology data, with clear separation of fodder, dry seed and afila types, were resolved by DNA data into 17, 12 and five sub-clusters, respectively. A core collection of 34 samples was derived from the complete collection by BAPS Bayesian analysis. Values for average gene diversity and allelic richness for molecular marker loci and diversity indexes of phenotypic data were found to be similar between the two collections, showing that this is a useful approach for representative core selection.
机译:使用形态学,简单序列重复(SSR)和基于反转座子的插入多态性(RBIP)标记对代表过去50年育成的捷克和斯洛伐克豌豆(Pisum sativum L.)品种的164个种质进行了遗传多样性评估。 10个SSR位点和31个RBIP标记的多态信息含量(PIC)值平均分别平均为0.89和0.73。 Ward聚类后的轮廓法产生了最可能的聚类估计,从分子数据中识别出九个聚类,从形态特征中识别出五到七个聚类。在前三个轴上,对9个定性和8个定量形态参数的主成分分析分别解释了总变异的90%和93%以上。分子数据的多维标度揭示了该集合的连续结构。为了能够集成和评估所有数据类型,应用了贝叶斯聚类方法。利用形态学数据鉴定出的三个簇,将饲料,干种子和丝状菌的类型清楚地分开,通过DNA数据分别将它们分为17、12和5个亚簇。通过BAPS贝叶斯分析,从完整采集中获得了34个样本的核心采集。发现两个集合之间的平均基因多样性和分子标记基因座的等位基因富集值以及表型数据的多样性指数相似,这表明这是用于代表性核心选择的有用方法。

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