Clustered QTL for source leaf size and yield traits in rice (Oryza sativa L.)
Improvement of plant type plays an important role in super-high yield breeding in rice (Oryza sativa L.). In the present study, a set of backcross recombinant inbred lines derived from a cross of 9311 and Zhenshan97, both elite indica hybrid parents, were developed to identify quantitative trait loci (QTL) for flag leaf size, panicle and yield traits. Forty-seven QTL for 14 traits were detected in common in the two environmental trials, of which nine genomic regions contained clustered QTL affecting plant type traits and yield traits. Four co-localized QTL on chromosomes 1, 6, 7 and 8 involving QTL for flag leaf size (flag leaf length, width and area) contained the QTL for yield traits such as panicle weight (PW) and secondary branch number (SBN), and in all cases alleles from 9311 increased source leaf size and were associated with increased sink size and yield (SBN and PW). Using a subset of overlapping substitution lines for the QTL region on chromosome 1, the QTL were validated and narrowed into a 990 kbp interval (RM3746–RM10435) with pleiotropic effects on flag leaf size, PW, SBN and spikelet number per panicle. These QTL clusters with large effects on source leaf size and yield-related traits provide good targets for marker-assisted breeding for plant type improvement and high-yield potential in rice.
KeywordsOryza sativa L. Backcross recombinant inbred lines Plant type Panicle traits Quantitative trait loci (QTL)
We are grateful to Dr. Sheng Chen (University of Western Australia) for helpful comments on the manuscript. This work was supported in part by a grant from the National Natural Science Foundation of China, and grants from the Ministry of Science and Technology of China (2006AA10Z151) and the Chinese Ministry of Agriculture (2006-G1).
- Li ZK, Yu SB, Lafitte HR, Huang N, Courtois B, Hittalmani S, Vijayakumar CHM, Liu GF, Wang GC, Shashidhar HE, Zhuang JY, Zheng KL, Singh VP, Sidhu JS, Srivantaneeyakul S, Khush GS (2003) QTL × environment interactions in rice I. Heading date and plant height. Theor Appl Genet 108:141–153PubMedCrossRefGoogle Scholar
- Lincoln S, Daley M, Lander E (1992) Constructing genetic maps with MAPMAKER/EXP 3.0. Whitehead Institute Technical Report, 3rd edn. Whitehead Institute, CambridgeGoogle Scholar
- Lu CG, Zhou JS (2003) A widely commercialized two-line super hybrid rice, Liangyoupeijiu. IRRN 28, 1:20Google Scholar
- Ma J, Ma W, Ming DF, Yang SM, Zhu QS (2006) Studies on the characteristics of rice plant with heavy panicle. Sci Agric Sin 39:679–685 (in Chinese with English abstract)Google Scholar
- McCouch SR, Teytelman L, Xu YB, Lobos KB, Clare K, Walton M, Fu BY, Maghirang R, Li ZK, Xing YZ, Zhang QF, 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
- Septiningsih EM, Prasetiyono J, Lubis E, Tai TH, Tjubaryat T, Moeljopawiro S, McCouch SR (2003) Identification of quantitative trait loci for yield and yield components in an advanced backcross population derived from the Oryza sativa variety IR64 and the wild relative O. rufipogon. Theor Appl Genet 107:1419–1432PubMedCrossRefGoogle Scholar
- StatSoft (1999) Statistica. StatSoft Incorporated, TulsaGoogle Scholar
- Wang SC, Zeng ZB (2004) Windows QTL Cartographer 2.0. Department of Statistics, North Carolina State University, Raleigh, NC, 2001-2004. http://statgen.ncsu.edu/qtlcart/WQTLCart.htm
- Yamamoto T, Yonemaru J, Yano M (2009) Towards the understanding of complex traits in rice: substantially or superficially? DNA Res 1–14Google Scholar
- Yuan LP (1997) Hybrid rice breeding for super high yield. Hybrid Rice 12:1–6 (in Chinese)Google Scholar