論文

筆頭著者 最終著者
2009年3月

Analysis of genetic diversity among European and Asian fig varieties (Ficus carica L.) using ISSR, RAPD, and SSR markers

GENETIC RESOURCES AND CROP EVOLUTION
  • Hidetoshi Ikegami
  • ,
  • Hitoshi Nogata
  • ,
  • Keita Hirashima
  • ,
  • Mitsuo Awamura
  • ,
  • Takao Nakahara

56
2
開始ページ
201
終了ページ
209
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1007/s10722-008-9355-5
出版者・発行元
SPRINGER

Nineteen fig varieties and lines from Europe and Asia have been fingerprinted by ISSR, RAPD, and SSR markers, respectively, using 13, 19, and 13 primer combinations. All primers produced 258 loci, with the highest number of loci (119) generated by RAPD (R (p): 48.42). Clustering analysis was applied to the three marker datasets to elucidate the genetic structure and relationships among these varieties. Mean genetic similarities were 0.787, 0.717, and 0.749, respectively, as determined using ISSR, RAPD, and SSR. Each marker system produced incompletely separated clusters, although a weak binding group based on race type appeared in the combined dataset. Comparisons of coefficients revealed no correlation between different similarity matrices; congruence was observed between similarity matrices and co-phenetic matrices in all markers. Analysis of molecular variance (AMOVA) showed that most of the total polymorphism was attributable to within-group variance (ISSRs + RAPDs, 97.41%; SSRs, 90.18%). These results suggest that the genetic diversity of this fig population is low and that multiple marker utilization is critical to estimate the relatedness of figs at the variety level. Additionally, it was presumed that 'Houraihi', the oldest variety in Japan, was disseminated independently of other foreign varieties in the 17th century or before then.

リンク情報
DOI
https://doi.org/10.1007/s10722-008-9355-5
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000263523900005&DestApp=WOS_CPL
ID情報
  • DOI : 10.1007/s10722-008-9355-5
  • ISSN : 0925-9864
  • Web of Science ID : WOS:000263523900005

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