Large-scale identification of polymorphic microsatellites using an in silico approach
2008

PolySSR: A Tool for Identifying Polymorphic Microsatellites

publication Evidence: high

Author Information

Author(s): Tang Jifeng, Baldwin Samantha J, Jacobs Jeanne ME, Linden C Gerard van der, Voorrips Roeland E, Leunissen Jack AM, van Eck Herman, Vosman Ben

Primary Institution: Wageningen UR Plant Breeding

Hypothesis

Can an in silico approach effectively identify polymorphic microsatellites from expressed sequence tags?

Conclusion

PolySSR is an effective tool for identifying polymorphic SSRs, significantly improving marker development efficiency.

Supporting Evidence

  • PolySSR identified several hundred putative markers from various species including potato and tomato.
  • Validation experiments showed that almost all markers indicated as polymorphic were indeed polymorphic.
  • Short SSRs were found to be more frequently polymorphic than long SSRs across all species studied.

Takeaway

PolySSR helps scientists find useful genetic markers in plants by looking for specific patterns in their DNA sequences.

Methodology

The study developed a pipeline called PolySSR to identify polymorphic SSRs from public EST databases and designed PCR primers for them.

Limitations

The study relies on the availability of sufficient sequence information from different genotypes.

Digital Object Identifier (DOI)

10.1186/1471-2105-9-374

Want to read the original?

Access the complete publication on the publisher's website

View Original Publication