【摘要】 【目的】研制利用生物信息学方法通过分析数量迅速增加的EST序列开发SSR标记的有力工具。【方法】通过对SSR标记本身的特点以及排列组合原理的分析,提出快速有效的SSR标记开发算法,并应用Visual Basic 6.0程序设计语言进行相关软件的开发。对2004年8月2日至2005年6月12日之间公布在NCBI上的22161条大豆EST序列,进行了SSR标记的检索。【结果】通过对现存SSR标记开发软件中所存在的问题的总结与分析,编制完成SSR标记开发软件SSR MINING 1.0。经过检索共发现2068个SSR标记,应用DNAMAN对其中30个标记进行了引物设计,并合成进行试验验证,最终获得了14个具有多态性的SSR标记。【结论】SSR MINING 1.0是一个高效、灵活、界面友好、使用简便的SSR标记开发软件。更多还原

【Abstract】 【Objective】As the number of EST sequences increasing, which supplies a valuable resource for the development of SSR markers, and bioinformatics has become a powerful tool for mining SSR. 【Method】 By analysis of the characteristic of SSR marker itself and permutation and combination theory of SSR as well, an efficient arithmetic was put forward. The relative software also was programmed by Visual Basic 6.0. 22 161 soybean EST sequences published between August of 2004 and June of 2005, as the resource to search SSR sites. 【Result】 After summarizing and analyzing the problems of existed software for SSR markers finding, a new software named SSR MINING 1.0 was accomplished. After searching for SSR markers, 2 068 SSR markers were got, and with the help of DNAMAN, 30 pairs of primer were designed from the found SSR markers. Then synthesized them and did the experiment, 14 polymorphic SSR markers were found.【Conclusion】 SSR MINING 1.0 is an efficient, flexible, interface friendly, and convenient SSR markers developing software.更多还原