Mapping QTL Controlling Yield Traits Using Low Phosphorus Tolerance Selected Backcrossing Introgression Lines of Rice (Oryza sativa L.)

doi:10.11924/j.issn.1000-6850.2013-1185

Abstract

Abstract: The low utilization rate of phosphorus is a major limiting factor in rice production. In order to explore the rice tolerance to low phosphorus favorable genes and cultivate phosphorus efficient varieties, in our study, 2 BC2F4 backcrossing populations were developed from the elite indica restorer lines ‘Shuhui527’ and ‘Minghui86’ as the recurrent parents and ‘Yetuozai’ as donor parent. Yield and its related traits of the backcrossing populations were evaluated and analyzed under normal control and phosphorus deficiency conditions. SSR polymorphic molecular markers were used for genotypic analysis. One-way analysis of variances (ANOVA) was applied to identify QTLs for all the measured traits. The results suggested that, panicle number (PN) was greatly affected by phosphorus deficiency stress, resulting in the loss of yield among the yield component factors. The results of correlation analysis showed that, ?lled-grain number per panicle (FGP) and PN were in very significant positive correlation with grain yield (YD) under two conditions. The results of identified QTLs conferring YD and its related traits revealed that 11 QTLs, 10 QTLs, 10 QTLs, 9 QTLs and 13 QTLs controlling PN, FGP, spikelet fertility (SF), thousand grain weight (TGW) and YD were detected respectively under two conditions. These findings provided useful information for the development of low phosphorus tolerance varieties, the discovery of favorable related genes and marker-assisted selection (MAS). Furthermore, the introgression lines in our study would be used as useful materials.

References

[1] Raghothama K G, Karthikeyan A S. Phosphate acquisition[J]. Plant and Soil,2005(274):37-49.
[2] Hinsinger P. Bioavailability of soil inorganic P in the rhizosphere as affected by root-induced chemical changes[J]. Plant and Soil,2001 (237):173-195.
[3] Schachtman D P, Reid R J, Ayling S M. Phosphorus uptake by plants: from soil to cel[J]. Plant Physiol,1998(116):447-453.
[4] Vance C P, Uhde S C, Allan D L. Phosphorus acquisition and use: critical adaptations by plants for securing a nonrenewable resource [J]. New Phyto,2003(57):423-447.
[5] Zhang Q F. Strategies for developing green super rice[J]. Fen zi zhi wu yu zhong (Molecular plant breeding),2005,3(5):601-602.
[6] Zhang Q F. Strategies for developing green super rice[J]. Porc Natl Acad Sci, USA,2007,104(42):16402-16409.
[7] Wissuwa M, Ae N. Genotypic variation for tolerance to phosphorus deficiency in rice and the potential for its exploitation in rice improvement[J]. Plant Breeding,2001(120):43-48.
[8] Fageria N K, Wright R J, Baligar V C. Rice cultivar evaluation for phosphorus use efficiency[J]. Plant and Soil,1988,111(1):105-109.
[9] Akinrinde E A, Gaizer T. Differences in the performance and phosphorus-use efficiency of some tropical rice varieties[J]. Pakistan Journal of Nutrition,2006,5(3):206-211.
[10] 李淑芳.水稻耐低磷胁迫研究现状及未来发展方向[J].吉林农业科学,2009,34(6):37-39,44.
[11] 王汝慈.水稻耐低磷胁迫研究进展[J].中国农学通报,2009,25(06): 77-83.
[12] Loudet O. Quantilitative trait loci analysis of nitrogen use efficiency in Arabidopsis[J]. Plant Physiol,2003,131(1):345-358.
[13] 杜娟,曾亚文,杨树明,等.水稻磷高效重组自交系群体的筛选鉴定[J].生态环境,2008,17(3):1151-1156.
[14] Ashukarim, Matsuokam. Identification,isolation and pyramiding of quantitative trait loci for rice breeding[J]. Trends Plant sci,2000,11 (7):344-350.
[15] Tanksley S D, NelsonJ C. Advanced backcross QTL analysis: A method for the simultaneous discovery and transfer of valuable QTLs from unadapted germplasm into elite breedinglines[J]. Theoretical and applied genetics,1996(92):191-203.
[16] Li Z K, Fu B Y, Gao Y M, et al. Genome-wide introgression lines and their use in genetic and molecular dissection of complex phenotypes in rice (Oryza sativa L.) [J]. Plant Mol Biol,2005,59(1): 33-52.
[17] 郑天清,徐建龙,傅彬英,等.遗传搭车与方差分析在水稻定向选择群体的抗旱性位点分析中的初步应用[J].作物学报,2007,33(5): 799-804.
[18] 张帆,郝宪彬,高用明,等.利用籼稻资源中的“隐蔽有利基因”提高粳稻苗期耐冷[J].作物学报,2007,33(10):1618-1624.
[19] Chen M Y, Ali J, Fu B Y, et al. Detection of drought-related loci in rice at reproductive stage using selected introgressed lines[J]. Agricultural Sciences in China,2011,10(1):1-8.
[20] Zheng K, Subudhi P K, Domingo J. Rapid DNA solation for marker assisted selection in rice breeding[J]. Rice Genet Newsl,1995(12): 255-258.
[21] 徐建龙,高用明,傅彬英,等.回交导入后代水稻种质有利基因的鉴定与筛选研究[J].分子植物育种,2005,3(5):619-628.
[22] 赵秀琴,徐建龙,朱苓华,等.利用高代回交导入系定位水旱条件下影响水稻根系及产量的 QTL[J]. 中国农业科学,2008,41 (7): 1887-1893.
[23] 陈满元.水稻高代回交导入系群体抗旱相关性状 QTL 定位研究[D].合肥:安徽农业大学,2010.
[24] 凌祖铭,李自超,余荣.水旱栽培条件下水陆稻品种产量和生理性状比较[J].中国农业大学学报,2002,7(3):13-18.
[25] Lafitte H R, Vijayakumar C, Gao Y M, et al. Improvement of rice drought tolerance through backcross breeding: evaluation of donors and results from drought nurseries[J]. Field Crop Res,2006,97(1): 77-86.