Mining microsatellites in eukaryotic genomes

被引：229

作者：

Sharma, Prakash C.

Grover, Atul

Kahl, Guenter

机构：

[1] Guru Gobind Indraprastha Univ, Univ Sch Biotechnol, Delhi 110006, India

[2] Sri Radha Kanoria Ctr Adv Studies Biosci & Biotec, Banasthali 304022, India

[3] Goethe Univ Frankfurt, Bio Ctr, Frankfurt, Germany

[4] GenXPro GmbH, Frankfurt Innovat Ctr, Frankfurt, Germany

来源：

TRENDS IN BIOTECHNOLOGY | 2007年 / 25卷 / 11期

关键词：

TANDEM REPEATS; SSR-MARKERS; MUTATION PROCESSES; EST DATABASES; SEQUENCES; DNA; IDENTIFICATION; RICE; WHEAT; DIVERGENCE;

D O I：

10.1016/j.tibtech.2007.07.013

中图分类号：

Q81 [生物工程学（生物技术）]; Q93 [微生物学];

学科分类号：

071005 ; 0836 ; 090102 ; 100705 ;

摘要：

During recent decades, microsatellites have become the most popular source of genetic markers. More recently, the availability of enormous sequence data for a large number of eukaryotic genomes has accelerated research aimed at understanding the origin and functions of microsatellites and searching for new applications. This review presents recent developments of in silico mining of microsatellites to reveal various facets of the distribution and dynamics of microsatellites in eukaryotic genomes. Two aspects of microsatellite search strategies - using a suitable search tool and accessing a relevant microsatellite database - have been explored. Judicious microsatellite mining not only helps in addressing biological questions but also facilitates better exploitation of microsatellites for diverse applications.

引用

页码：490 / 498

页数：9

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