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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.

In addition to the importance of many Dioscorea species (yams) as starchy staple food, some representatives are known and still used as a source for the steroidal sapogenin diosgenin, which, besides phytosterols derived from tall-oil, is an important precursor for partial synthesis of steroids for pharmaceutical research and applications. While in edible yams the diosgenin content should be as low as possible, a high yield of the compound is preferable for cultivars which are grown for the extraction of sterols. In the past, miscalculations and insufficiently precise techniques for quantification of diosgenin prevailed. Therefore we set out to re-evaluate the steroid content of a world collection of Dioscorea species, using leaves as sample material. We optimized diosgenin quantification techniques and fingerprinted the whole collection with the DNA amplification fingerprinting (DAF) technique. Total diosgenin contents ranged from 0.04 to 0.93% of dry weight within the collection. Several Dioscorea cultivars can be characterized via their DAF fingerprint patterns.