High-density integrated linkage map based on SSR markers in soybean

Tae Young Hwang, Takashi Sayama, Masakazu Takahashi, Yoshitake Takada, Yumi Nakamoto, Hideyuki Funatsuki, Hiroshi Hisano, Shigemi Sasamoto, Shusei Sato, Satoshi Tabata, Izumi Kono, Masako Hoshi, Masayoshi Hanawa, Chizuru Yano, Zhengjun Xia, Kyuya Harada, Keisuke Kitamura, Masao Ishimoto

Research output: Contribution to journalArticlepeer-review

126 Citations (Scopus)

Abstract

A well-saturated molecular linkage map is a prerequisite for modern plant breeding. Several genetic maps have been developed for soybean with various types of molecular markers. Simple sequence repeats (SSRs) are single-locus markers with high allelic variation and are widely applicable to different genotypes. We have now mapped 1810 SSR or sequence-tagged site markers in one or more of three recombinant inbred populations of soybean (the US cultivar 'Jack' × the Japanese cultivar 'Fukuyutaka', the Chinese cultivar 'Peking' × the Japanese cultivar 'Akita', and the Japanese cultivar 'Misuzudaizu' × the Chinese breeding line 'Moshidou Gong 503') and have aligned these markers with the 20 consensus linkage groups (LGs). The total length of the integrated linkage map was 2442.9 cM, and the average number of molecular markers was 90.5 (range of 70-114) for the 20 LGs. We examined allelic diversity for 1238 of the SSR markers among 23 soybean cultivars or lines and a wild accession. The number of alleles per locus ranged from 2 to 7, with an average of 2.8. Our high-density linkage map should facilitate ongoing and future genomic research such as analysis of quantitative trait loci and positional cloning in addition to marker-assisted selection in soybean breeding.

Original languageEnglish
Pages (from-to)213-225
Number of pages13
JournalDNA Research
Volume16
Issue number4
DOIs
Publication statusPublished - Aug 2009
Externally publishedYes

Keywords

  • EST-derived SSR marker
  • Integrated linkage map
  • Microsatellite marker
  • Polymorphism information content

ASJC Scopus subject areas

  • Molecular Biology
  • Genetics

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