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首页> 外文期刊>Genetic Resources and Crop Evolution >Optimum sample size for estimating gene diversity in wild wheat using AFLP markers.
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Optimum sample size for estimating gene diversity in wild wheat using AFLP markers.

机译：使用AFLP标记估算野生小麦中基因多样性的最佳样本量。

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摘要

Genetic diversity in five wild types of wheat was estimated using Simpson's index (based on heterozygosity) applied to data from AFLP markers. For such studies, the cost of obtaining the required information increases both with the number of samples required to estimate diversity and with the number of markers used. When the population studied is in Hardy-Weinberg equilibrium (HWE), allelic frequencies follow the binomial expansion and parametric methods can be used to calculate the variance of the diversity index in terms of the number of individuals sampled. Inbred species are never in HWE. With regard to such populations, this study addresses the question of the sample size required to estimate gene diversity using a distribution-free re-sampling method. We studied populations of five wild species (Aegilops speltoides, Triticum urartu, Triticum boeoticum, Triticum dicoccoides, and Triticum araraticum) as sources of diversity. We used bootstrap re-sampling with varying sample sizes to develop a relationship between the precision of the diversity estimate and the sample size. Such a relationship was used to determine the samples required for capturing a given amount of diversity and its precision. We found that 5-6 samples are sufficient to obtain a standard error equal to 10% of the diversity in the populations of the species Ae. speltoides, T. dicoccoides and T. araraticum. However, more than 12 samples would be needed for populations of T. urartu and T. boeoticum. The procedure presented here can be used to obtain the optimum sample size for other crop species as well..
机译：使用应用于AFLP标记数据的辛普森指数（基于杂合性）估算了五种野生小麦的遗传多样性。对于此类研究，获得所需信息的成本随估计多样性所需的样本数量以及所用标记的数量而增加。当研究的种群处于Hardy-Weinberg平衡（HWE）时，等位基因频率遵循二项式展开，并且可以使用参数化方法根据抽样个体的数量来计算多样性指数的方差。近交物种从未在HWE中存在。对于此类种群，本研究解决了使用无分布重新采样方法估算基因多样性所需的样本量问题。我们研究了作为多样性来源的五个野生物种（古埃及草，非洲小麦，非洲小麦，二齿小麦和阿拉拉小麦）的种群。我们使用具有不同样本大小的自举重采样来建立分集估计的精度与样本大小之间的关系。这种关系用于确定捕获给定数量的多样性及其精度所需的样本。我们发现5-6个样本足以获得等于Ae物种多样性的10％的标准误差。 speltoides，T。dicoccoides和T. araraticum。但是，乌拉。和布氏T种群需要超过12个样本。这里介绍的程序也可以用于获取其他农作物的最佳样本量。

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