Theoretical and Applied Genetics

, Volume 111, Issue 3, pp 456–466

Mapping and characterization of new EST-derived microsatellites for potato (Solanum tuberosum L.)

Authors

  • S. Feingold
    • Laboratorio de Biotecnologìa AgrícolaPropapa EEA Balcarce INTA
  • J. Lloyd
    • Potato Molecular Biology Lab, Plant, Soil and Entomological Science (PSES) DepartmentUniversity of Idaho
  • N. Norero
    • Laboratorio de Biotecnologìa AgrícolaPropapa EEA Balcarce INTA
  • M. Bonierbale
    • Germplasm Enhancement and Crop Improvement DivisionInternational Potato Center (CIP)
  • J. Lorenzen
    • Potato Molecular Biology Lab, Plant, Soil and Entomological Science (PSES) DepartmentUniversity of Idaho
Original Paper

DOI: 10.1007/s00122-005-2028-2

Cite this article as:
Feingold, S., Lloyd, J., Norero, N. et al. Theor Appl Genet (2005) 111: 456. doi:10.1007/s00122-005-2028-2

Abstract

Microsatellites, or simple sequence repeats (SSRs) are very useful molecular markers for a number of plant species. They are commonly used in cultivar identification, plant variety protection, as anchor markers in genetic mapping, and in marker-assisted breeding. Early development of SSRs was hampered by the high cost of library screening and clone sequencing. Currently, large public SSR datasets exist for many crop species, but the number of publicly available, mapped SSRs for potato is relatively low (~100). We have utilized a database mining approach to identify SSR-containing sequences in The Institute For Genomic Research Potato Gene Index database (http://www.tigr.org), focusing on sequences with size polymorphisms present in this dataset. Ninety-four primer pairs flanking SSR sequences were synthesized and used to amplify potato DNA. This study rendered 61 useful SSRs that were located in pre-existing genetic maps, fingerprinted in a set of 30 cultivars from South America, North America, and Europe or a combination thereof. The high proportion of success (65%) of expressed sequence tag-derived SSRs obtained in this work validates the use of transcribed sequences as a source of markers. These markers will be useful for genetic mapping, taxonomic studies, marker-assisted selection, and cultivar identification.

Copyright information

© Springer-Verlag 2005