Conservation Genetics

, Volume 9, Issue 4, pp 1083–1085 | Cite as

Development of ten microsatellite markers for Quercus mongolica var. crispula by database mining

  • Saneyoshi Ueno
  • Yoshihiko Tsumura
Technical Note


Simple sequence repeats (SSRs) in the NCBI dbEST database were surveyed to identify potential SSR markers for Quercus mongolica. In total, 2,691 gene sequences, mainly from expressed sequence tags (ESTs) for Q. robur and Q. petraea had been registered. Twenty-two PCR primers were designed for SSRs in these sequences and screened for polymorphisms in 16 Q. mongolica trees. Ten loci were easily genotyped and showed polymorphism, with numbers of alleles and expected heterozygosity ranging from 3 to 15 and 0.28 to 0.94, respectively. These EST-SSR markers should be useful for studying the genetic diversity of Quercus species.


Expressed sequence tag Fagaceae Quercus petraea Quercus robur SSR 



The authors are grateful to M. Kanno, A. Kanazashi, H. Yoshimaru, K. Ishida, Y. Koyama and K. Koono for sample collection and to Y. Taguchi for laboratory work. This research was supported by a grant for Research on Genetic Guideline for Restoration Programs using Genetic Diversity Information from the Ministry of Environment, Japan.


  1. Altschul SF, Gish W, Miller W, Myers EW, Lipman DJ (1990) Basic local alignment search tool. J Mol Biol 215:403–410PubMedGoogle Scholar
  2. Fukuoka H, Nunome T, Minamiyama Y, Kono I, Namiki N, Kojima A (2005) Read2Marker: a data processing tool for microsatellite marker development from a large data set. Biotechniques 39:472, 474, 476Google Scholar
  3. Goudet J (1995) FSTAT (Version 1.2): a computer program to calculate F-statistics. J Hered 86:485–486Google Scholar
  4. Iseli C, Jongeneel CV, Bucher P (1999) ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences. In: Proceedings of the International Conference on Intelligent Systems for Molecular Biology, AAAI press, Menlo Park, California, pp 138–148Google Scholar
  5. Kondo H, Tahira T, Hayashi H, Oshima K, Hayashi K (2000) Microsatellite genotyping of post-PCR fluorescently labeled markers. Biotechniques 29:868–872PubMedGoogle Scholar
  6. Nixon KC (1993) Infrageneric classification of Quercus (Fagaceae) and typification of sectional names. Ann Sci For 50:25s–34sCrossRefGoogle Scholar
  7. Pashley CH, Ellis JR, McCauley DE, Burke JM (2006) EST databases as a source for molecular markers: lessons from Helianthus. J Hered 97:381–388PubMedCrossRefGoogle Scholar
  8. The Ministry of Agriculture, Forestry and Fisheries of Japan (2002) Ringyo Chi-iki Tyousa Houkokusyo (Forestry District Survey Report). TokyoGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2007

Authors and Affiliations

  1. 1.Tree Genetics Laboratory, Department of Forest GeneticsForestry and Forest Products Research InstituteTsukubaJapan

Personalised recommendations