Identification of quantitative trait loci for the dead leaf rate and the seedling dead rate under alkaline stress in rice

Dongling Qi; Guizhen Guo; Myung-chul Lee; Junguo Zhang; Guilan Cao; Sanyuan Zhang; Seok-cheol Suh; Qingyang Zhou; Longzhi Han

doi:10.1016/S1673-8527(08)60043-0

Volume 35 Issue 5

May 2008

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Article Navigation > Journal of Genetics and Genomics > 2008 > 35(5): 299-305

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Identification of quantitative trait loci for the dead leaf rate and the seedling dead rate under alkaline stress in rice

doi: 10.1016/S1673-8527(08)60043-0

a
Institute of Crop Science, Chinese Academy of Agricultural Sciences/The National Key Facility for Crop Gene Resources and Genetic Improvement, NFCRI/Key Laboratory of Crop Germplasm Resources and Biotechnology, Ministry of Agriculture, Beijing 100081, China
b
Rubber Research Institute of China, Chinese Academy of Tropical Agricultural Sciences/Key laboratory of Physiology for Tropical Crops, Ministry of Agriculture, Hainan 571737, China
c
Institute of Rice Research, Jilin Academy of Agricultural Sciences, Gongzhuling 136100, China
d
National Institute of Agricultural Biotechnology, Rural Development Administration, Suwon 441-707, Korea
e
Horticultural Department, Sichuan Agricultural University, Ya'an 625014, China

More Information

Corresponding author: E-mail address: lzhan58@yahoo.com.cn (Longzhi Han)
Received Date: 2007-10-09
Accepted Date: 2008-01-18
Rev Recd Date: 2007-12-20

Available Online: 2008-05-20

Publish Date: 2008-05-20

Abstract

Abstract

The quantitative trait loci (QTLs) for the dead leaf rate (DLR) and the dead seedling rate (DSR) at the different rice growing periods after transplanting under alkaline stress were identified using an F_2:3 population, which included 200 individuals and lines derived from a cross between two japonica rice cultivars Gaochan 106 and Changbai 9 with microsatellite markers. The DLR detected at 20 days to 62 days after transplanting under alkaline stress showed continuous normal or near normal distributions in F₃ lines, which was the quantitative trait controlled by multiple genes. The DSR showed a continuous distribution with 3 or 4 peaks and was the quantitative trait controlled by main and multiple genes when rice was grown for 62 days after transplanting under alkaline stress. Thirteen QTLs associated with DLR were detected at 20 days to 62 days after transplanting under alkaline stress. Among these,qDLR9-2 located in RM5786-RM160 on chromosome 9 was detected at 34 days, 41 days, 48 days, 55 days, and 62 days, respectively; qDLR4 located in RM3524-RM3866 on chromosome 4 was detected at 34 days, 41 days, and 48 days, respectively; qDLR7-1 located in RM3859-RM320 on chromosome 7 was detected at 20 days and 27 days; and qDLR6-2 in RM1340-RM5957 on chromosome 6 was detected at 55 days and 62 days, respectively. The alleles of both qDLR9-2 and qDLR4 were derived from alkaline sensitive parent “Gaochan106”. The alleles of both qDLR7-1 and qDLR6-2 were from alkaline tolerant parent Changbai 9. These gene actions showed dominance and over dominance primarily. Six QTLs associated with DSR were detected at 62 days after transplanting under alkaline stress. Among these, qDSR6-2 and qDSR8 were located in RM1340-RM5957 on chromosome 6 and in RM3752-RM404 on chromosome 8, respectively, which were associated with DSR and accounted for 20.32% and 18.86% of the observed phenotypic variation, respectively; qDSR11-2 and qDSR11-3 were located in RM536-RM479 and RM2596-RM286 on chromosome 11, respectively, which were associated with DSR explaining 25.85% and 15.41% of the observed phenotypic variation, respectively. The marker flanking distances of these QTLs were quite far except that of qDSR6-2, which should be researched further.
- rice,
- alkaline stress,
- dead leaf rate,
- dead seedling rate,
- microsatellite marker,
- quantitative trait locus (QTL)

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References(28)

References

[1]	Akbar, M., Yabuno, T. Breeding saline-resistant varieties of rice. IV. Inheritance of delayed type panicle sterility induced by salinity Japanese J. Breed., 27 (1977),pp. 237-240
[2]	Akbar, M., Khush, G.S., Hille, R.L.D. Genetics of salt tolerance in rice In Proceedings of the Rice Genetics Smposium, IRRI, 5 (1985),pp. 399-409
[3]	Flower, T.J. Improving crop salt tolerance J. Exp. Bot., 55 (2004),pp. 307-319
[4]	Gong, J.M., He, P., Qian, Q. et al. Chin. Sci. Bull., 43 (1998),pp. 1847-1860
[5]	Gu, X.Y., Mei, M.T., Yan, X.L. et al. Preliminary detection of quantitative trait loci for tolerance in rice Chin. J. Rice Sci., 14 (2000),pp. 65-70
[6]	Han, L.Z., Qiao, Y.L., Cao, G.L. et al. QTL analysis on cold tolerance during early growth period in rice Chin. J. Rice Sci., 19 (2005),pp. 122-126
[7]	Jones, M.P. Genetic analysis of salt tolerance in mangrove swamp rice In Rice Genetics Proceeding of International Rice Genetics Symposium, IRRI, 5 (1985),pp. 41-122
[8]	Khatun, S., Flower, T.J. Effects of salinity on seed set in rice Plant, Cell and Environ., 18 (1995),pp. 61-67
[9]	Koyama, M.L., Levesley, A., Koebner, R.M.D. et al. Quantitative trait loci for component physiological traits determining salt tolerance in rice Plant Physiol., 125 (2001),pp. 406-422
[10]	Li, D.J., Sun, C.Q., Fu, Y.C. et al. Chin. Sci. Bull., 47 (2002),pp. 1533-1537
[11]	Liang, Z.W., Yang, F., Wang, Z.C. et al. Effect of the main growth characteristics of rice under saline-alkali stress Ecol. Environ., 13 (2004),pp. 43-46
[12]	Lin, H.X., Zhu, M.Z., Yano, M. et al. Theor. Appl. Genet., 108 (2004),pp. 253-260
[13]	Lin, H.X., Yanagihara, S., Zhuang, J.Y. Chin. J. Rice Sci., 12 (1998),pp. 72-78
[14]	Liu, R.H., Meng, J.L. MapDraw: A microsoft excel macro for drawing genetic linkage maps based on given genetic linkage data Hereditas (Beijing), 25 (2003),pp. 317-321
[15]	MaCouch, S.R., Cho, Y.G., Yang, M. et al. Report on QTL nomenclature Rice Genet. Newslett., 14 (1997),pp. 11-13
[16]	Moeljopawira, S., Ikehashi, H. Inheritance of salt tolerance in rice Euphytica, 30 (1981),p. 291
[17]	Prasad, S.R., Bagali, P.G., Hittalmani, S. et al. Curr Sci., 78 (2000),pp. 162-164
[18]	Qadar, A. Salinity and sodicity tolerance in rice Int. Rice Res. Newslett., 10 (1985),pp. 7-8
[19]	Qi, D.L., Guo, G.Z., Lee, M.C. et al. Progress of physiology and genetic research on saline-alkaline tolerance in rice J. Plant Genet. Resour., 8 (2007),pp. 486-493
[20]	Sharma, S.K. Mechanism of tolerance in rice varieties differing in sodicty tolerance Plant Soil, 93 (1986),pp. 141-145
[21]	Singh, RB, Ram, et al. Genetic variability in rice genotypes planted in sodic soil International Rice Res. Newslett., 15 (1990),p. 13
[22]	Stuber, C.W., Lincoln, S.E., Wolff, D.W. et al. Identification of genetic factors contributing to beterosis in a hybrid from two elite maize inbred lines using molecular markers Genetics, 132 (1992),pp. 823-839
[23]	Xie, G.S., Liu, S.K., Tetsuo, T. et al. Acta Genet. Sin., 29 (2002),pp. 1078-1084
[24]	Xie, G.S., Liu, S.K., Tetsuo, T. et al. Effects of salt and alkalistress on differential expression of genes at the seedling in rice China J. Appl. Environ. Biol., 11 (2005),pp. 129-133
[25]	Yang, Z.F. New japonica variety Changbai 9 Crop Germplasm, 1 (1997),pp. 51-52
[26]	Zhang, W.H., Lin, T., Zhang, H.X. et al. Transformed rice with salt tolerance-related genes of bruguiera sexangula by agrobacterium meditation Acta Bot. Boreal-Occident Sin., 26 (2006),pp. 1106-1109
[27]	Zhao, K.F. The plant adaptation to salt stress Biol. Bull., 37 (2002),pp. 7-10
[28]	Zhou, Y.P., Ge, S., Wang, X.D.