論文

査読有り
2017年

Effects of yield-related QTLs SPIKE and GPS in two indica rice genetic backgrounds

PLANT PRODUCTION SCIENCE
  • Toshiyuki Takai
  • ,
  • Shunsuke Adachi
  • ,
  • Daisuke Fujita
  • ,
  • Yumiko Arai-Sanoh
  • ,
  • Masaki Okamura
  • ,
  • Motohiko Kondo
  • ,
  • Nobuya Kobayashi

20
4
開始ページ
467
終了ページ
476
記述言語
英語
掲載種別
研究論文(学術雑誌)
DOI
10.1080/1343943X.2017.1385404
出版者・発行元
TAYLOR & FRANCIS LTD

Recent progress in rice genomics has promoted the identification of quantitative trait loci (QTLs) associated with yield and its related traits. SPIKE, a QTL controlling spikelet number per panicle, and GPS, a QTL controlling leaf photosynthesis rate, were identical to NAL1. To assess the effect of SPIKE/GPS on yield potential, we compared DNA sequences of these alleles and conducted yield experiments in the field of Japan using the near-isogenic lines NIL-SPIKE (allele from Daringan in IR 64 genetic background), NIL-GPS (allele from Koshihikari in Takanari genetic background), and a chromosome segment substitution line, SL2115 (allele from Koshihikari in IR 64 genetic background). Despite the two SNPs in the promoter regions between Koshihikari and Daringan, both alleles were effective to increase the number of spikelets per panicle both in Takanari and IR 64 backgrounds. However, the extent of the increase was smaller and unstable in Takanari background than that in IR 64 background. In addition, SPIKE/GPS improved percentage of filled spikelets only in the IR 64 background. These results suggest that the effects of SPIKE/GPS alleles are similar but are affected by the difference of the genetic backgrounds. Because the increasing effect of spikelets number per panicle was canceled by the decrease of the number of panicles, which seems to be affected by environmental factors, none of NIL-SPIKE, SL2115, or NIL-GPS significantly out-yielded their parental cultivars. These results indicate the importance to consider genetic backgrounds and QTL-environment interaction toward the future use of SPIKE/GPS.

リンク情報
DOI
https://doi.org/10.1080/1343943X.2017.1385404
Web of Science
https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=JSTA_CEL&SrcApp=J_Gate_JST&DestLinkType=FullRecord&KeyUT=WOS:000416638900015&DestApp=WOS_CPL
ID情報
  • DOI : 10.1080/1343943X.2017.1385404
  • ISSN : 1343-943X
  • eISSN : 1349-1008
  • Web of Science ID : WOS:000416638900015

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