Genetic dissection and pyramiding of quantitative traits for panicle architecture by using chromosomal segment substitution lines in rice
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To understand the genetic basis of yield-related traits of rice, we developed 39 chromosome segment substitution lines (CSSLs) from a cross between an average-yielding japonica cultivar, Sasanishiki, as the recurrent parent and a high-yielding indica cultivar, Habataki, as the donor. Five morphological components of panicle architecture in the CSSLs were evaluated in 2 years, and 38 quantitative trait loci (QTLs) distributed on 11 chromosomes were detected. The additive effect of each QTL was relatively small, suggesting that none of the QTLs could explain much of the phenotypic difference in sink size between Sasanishiki and Habataki. We developed nearly isogenic lines for two major QTLs, qSBN1 (for secondary branch number on chromosome 1) and qPBN6 (for primary branch number on chromosome 6), and a line containing both. Phenotypic analysis of these lines revealed that qSBN1 and qPBN6 contributed independently to sink size and that the combined line produced more spikelets. This suggests that the cumulative effects of QTLs distributed throughout the genome form the major genetic basis of panicle architecture in rice.
KeywordsEpistatic Interaction Panicle Length Major QTLs Japonica Cultivar Morphological Component
The seeds and genotype information of the CSSLs are available from the Rice Genome Resource Center (http://www.rgrc.dna.affrc.go.jp/index.html) of NIAS. This work was supported by a grant from the Ministry of Agriculture, Forestry, and Fisheries of Japan (Green Technology Project DM-1003 and QT-1005).
- Basten CJ, Weir BS, Zeng ZB (2004) QTL cartographer, ver. 1.17. Department of Statistics, North Carolina State University, RaleighGoogle Scholar
- Doi K, Iwata N, Yoshimura A (1997) The construction of chromosome introgression lines of African rice (Oryza glaberrima Steud.) in the background of japonica rice (O. sativa L.). Rice Genet Newsl 14:39–41Google Scholar
- Ebitani T, Takeuchi Y, Nonoue Y, Yamamoto T, Takeuchi K, Yano M (2005) Construction and evaluation of chromosome segment substitution lines carrying overlapping chromosome segments of indica rice cultivar ‘Kasalath’ in a genetic background of japonica elite cultivar ‘Koshihikari’. Breed Sci 55:65–73CrossRefGoogle Scholar
- INTERNATIONAL RICE GENOME SEQUENCING PROJECT (2005) The map-based sequence of the rice genome. Nature 436:793–800Google Scholar
- McCouch SR, Teytelman L, Xu Y, Lobos KB, Clare K, Walton M, Fu B, Maghirang R, Li Z, Xing Y, Zhang Q, Kono I, Yano M, Fjellstrom R, DeClerck G, Schneider D, Cartinhour S, Ware D, Stein L (2002) Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Res 9:199–207PubMedCrossRefGoogle Scholar
- Sasahara H, Fukuta Y, Fukuyama T (1999) Mapping of QTLs for vascular bundle system and spike morphology in rice, Oryza sativa L. Breed Sci 49:75–81Google Scholar
- Tian F, Li DJ, Fu Q, Zhu ZF, Fu YC, Wang XK, Sun CQ (2006) Construction of introgression lines carrying wild rice (Oryza rufipogon Griff.) segments in cultivated rice (Oryza sativa L.) background and characterization of introgressed segments associated with yield-related traits. Theor Appl Genet 112:570–580PubMedCrossRefGoogle Scholar
- Yano M, Katayose Y, Ashikari M, Yamanouchi U, Monna L, Fuse T, Baba T, Yamamoto K, Umehara Y, Nagamura Y, Sasaki T (2000) Hd1, a major photoperiod sensitivity quantitative trait locus in rice, is closely related to the Arabidopsis flowering time gene CONSTANS. Plant Cell 12:2473–2484PubMedCrossRefGoogle Scholar
- Yoshida S, Parao FT (1976) Climatic influence on yield and yield components of lowland rice in the tropics. In: Climate and Rice, International Rice Research Institute, Los Baños, The Philippines, pp 471–494Google Scholar