摘要
遗传多样性研究是植物种质资源有效利用和保护的重要基础。遗传多样性研究所采用的分子标记工具主要有显性和共显性两种,两种不同类型的分子标记将产生不同的数据类型。显性分子标记产生二元型数据,共显性分子标记产生基因型数据。数据形式不同给遗传多样性的分析和研究带来多方面的困难,不同类型数据之间的互相比较也需要将基因型数据进行二元型转换。本研究基于Excel平台,设计开发了将基因型数据转换成二元型数据的处理软件。该软件按照基因型数据向二元型数据转换的原理,可以将庞大的分子标记基因型数据矩阵,迅速、高效、准确地转换成二元型(0、1)数据矩阵。利用显性分子标记ISSR和共显性分子标记SSR对野生大豆居群遗传多样性的案例分析表明,将共显性分子标记的基因型数据转换为二元型数据,有利于种质资源遗传多样性研究中不同分子标记获取的遗传多样性结果之间的比较和综合分析。
The active research of genetic diversity is essential for conservation and utilization of plant genetic resources. There are mainly two kinds of molecular markers that are commonly used in genetic diversity studies, these are dominant and co-dominant molecular markers. Consequently, two types of data can be generated from different markers: binary or genotype data matrix that causes some difficulties for analyzing the studied genetic resources. Usually, the two types of data matrix are not comparable in their original styles for genetic diversity studies, but they can be compared when the data are transformed from genotype into binary form. An Excel based software for the transformation of genotype data into binary form data is developed in this study, which can transform genotype data into binary data matrix in an efficient and accurate way. The case study of genetic diversity in a wild soybean population from Jiangwan in Shanghai, applying the dominant ISSR and co-dominant SSR molecular markers indicated that it is necessary to transform the genotype data of the SSR banding patterns into binary data matrix for the required comparison and analyses in studying genetic diversity of plant germplasm. This software provides a useful tool in analyzing genetic diversity data generated from different molecular markers.
出处
《植物遗传资源学报》
CAS
CSCD
北大核心
2009年第1期97-102,共6页
Journal of Plant Genetic Resources
基金
国家重点基础研究发展规划(973)项目(2006CB100205)
上海市科委基础重点项目(08JC1401700)