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Mapping of QTLs Controlling Na+, K+ and CI Ion Concentrations in Salt Tolerant Indica Rice Variety CSR27

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Abstract

Soil salinity and sodicity are major constraints to rice production in about twenty per cent of the irrigated crop land. Inbuilt genetic tolerance to salinity is the most economical and environmentally sustainable way to solve this problem. A mapping population of 200 F2 plants and their corresponding F3 families, derived from a cross between a salt tolerant indica rice variety CSR27 and a salt sensitive variety MI48 were used to map OTLs for salt tolerance. Seventeen different parameters, including seedling salt injury score, Na+, K+, CI concentrations and Na+/K+ ratio in leaf and stem tissues at vegetative and reproductive stages were mapped. A framework linkage map was constructed using 79 SSR and EST markers distributed over the twelve rice chromosomes at an average interval of 20.7cM and total map distance of 1634.5 cM. Twenty five major OTLs, each explaining more than ten per cent of the trait phenotypic variance, were mapped on chromosomes 1, 2, 3 and 8. These included one OTL for seedling salt injury score, nine for Na+ concentration, three for K+ concentration and four for Cl concentration in leaf and stem tissues at vegetative and reproductive stages. The Na+/K+ ratio, an important ion balancing parameter for the salt tolerance, was controlled by eight OTLs explaining phenotypic variance in the range of 42.88–52.63%. Four OTL intervals were robust with major effect and having OTLs for multiple salt tolerance parameters that might be governed by common or tightly linked genes. One major OTL for multiple salt tolerance parameters on chromosome 8 and three major OTLs for CI ion concentration are novel for this study. The OTLs identified here will serve as a base for fine mapping, gene tagging and marker assisted selection for salt tolerance in rice.

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Abbreviations

LOD:

log likelihood odd ratio

QTL:

quantitative trait loci

RIL:

recombinant inbred lines

SSR:

simple sequence repeats

EST:

expressed sequence tag

References

  1. Hossain M, Rice supply and demand in Asia: a socioeconomic and biophysical analysis (P S Teng et al, Editors), Kluwer Academic Pub, Great Britain (1997) pp 263–279.

    Google Scholar 

  2. Wu R & Garg A, ISBN News Report, http://wwwisb.vt.edu/ (2003).

    Google Scholar 

  3. Ponnamperuma FN, Salinit tolerance in plants: strategies for crop improvement, In R C Staples, G H Toenniessen, Editors, (1984).

    Google Scholar 

  4. Tanji KK, In Agricultural salinity assessment and management 71 (K K Tanji, Editor), (1990).

    Google Scholar 

  5. Singh RK & Mishra B, In Gentic improvement of rice varieties in India (S D Sharma, U P Rao, Editors), (2004) p. 189.

    Google Scholar 

  6. Gong JIM, He P, Qian Q, Shen LS, Zhu LH & Chen SY, China Sci Bull, 44 (1999) 68.

    Article  Google Scholar 

  7. Lin- HX, Yangihara S, Zhuang JY, Senboku T, Zheng- KL, Yashima S, Lin HX, Zhuang JY & Zheng KL, Chinese Rice Res Newslett, 5 (1997) 1.

    CAS  Google Scholar 

  8. Prasad SR, Bagali PG, Shailaja H, Shashidhar HE & Hittalmani S, Current Sci, 78 (2000) 162.

    CAS  Google Scholar 

  9. Zhang GY, Guo Y, Chen SL & Chen SY, Plant Sci, 110 (1995) 227.

    Article  CAS  Google Scholar 

  10. Koyama ML, Aurora L, Koebner RMD, Flowers TJ & Yeo AR, Plant Physiol, 125 (2001) 406.

    Article  PubMed  CAS  Google Scholar 

  11. Bonilla P, Dvorak J, Mackill D, Deal K & Gregorio G, The Philippine Agricultural Scientist, 85 (2002) 68.

    Google Scholar 

  12. Lin HX, Zhu MZ, Yano M, Gao JP, Liang ZW, Su WA, Hu XH, Ren ZH & Chao DY Theor Appl Genet, 108 (2004) 253.

    Article  PubMed  CAS  Google Scholar 

  13. IRGSP, Nature, 436 (2005) 793.

    Article  Google Scholar 

  14. Ren ZH, Gao JP, Li LG, Cai XL, Huang W, Chao DY, Zhu MZ, Wang ZY, Luan S & Lin HX, Nature Genet, 37 (2005) 1141.

    Article  PubMed  CAS  Google Scholar 

  15. De Datta & Surajit K, Principles and practices of rice production, John Wiley & Sons inc, New York (1933) pp 228–233.

    Google Scholar 

  16. Flowers TJ & Yeo AR, New Phytol, 81 (1981) 363.

    Article  Google Scholar 

  17. Murray MG & Thompson WF, Nucleic Acids Res, 8 (1980) 4321.

    Article  PubMed  CAS  Google Scholar 

  18. 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, Fjellstorm R, DeClerck G, Schneider D, Cartinhour S, Ware D & Stein L, DNA Res, 9 (2002) 199.

    Article  PubMed  CAS  Google Scholar 

  19. Miller B, Open Stat ver.3.5.5. Iowa State University, USA (2003).

    Google Scholar 

  20. Rohlf FJ, NTSYS-PC Version 2.0, Exeter software, Setauket, New York, USA (1998).

    Google Scholar 

  21. Kosambi DD, Ann Eugen, 12 (1944) 172.

    Google Scholar 

  22. Lander ES, Green P, Abrahamson J, Barlow A, Daly MJ, Lincoln SE & Newburg L, Genomics, 1 (1987) 174.

    Article  PubMed  CAS  Google Scholar 

  23. Basten CJ, Weir BS & Zeng ZB, QTL Cartographer Version 1.16. Department of Statistics, North Carolina State Univerity, Raleigh, NC (2002).

    Google Scholar 

  24. Mishra B, Singh RK & Senadhria D, Advances in rice genetics (GS Khush, DS Brar, Bill Hardy, Editors), IRRI, Lao Banos, Philippines, (2003) pp 5–7.

    Google Scholar 

  25. Gregorio GB & Senadhira D, Theor Appl Genet, 86 (1993) 333.

    Article  Google Scholar 

  26. Flowers TJ, Koyama ML, Flowers SA, Sudhakar C, Singh KID & Yeo AR, J Exp Bot, 51 (2000) 99.

    Article  PubMed  CAS  Google Scholar 

  27. Yadav Sheetal, Rana Poonam, Saini Navinder, jain Sunita, Jain RK, J Plant Biochem Biotech, 17(1) (2008) 1.

    CAS  Google Scholar 

  28. Gregorio GB, PhD thesis, Univ Philippines. Los Banos, Philippines, (1997).

    Google Scholar 

  29. Thomas S & Nambisan P, Oryza, 36 (1999) 42.

    Google Scholar 

  30. Garcia A, Rizzo CA, Ud-Din J, Bartos SL, Senadhira D, Flowers TJ, & Yeo AR, Plant Cell Enviro, 20 (197) 1167.

Download references

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Correspondence to N. K. Singh.

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Ammar, M.H.M., Pandit, A., Singh, R.K. et al. Mapping of QTLs Controlling Na+, K+ and CI Ion Concentrations in Salt Tolerant Indica Rice Variety CSR27. J. Plant Biochem. Biotechnol. 18, 139–150 (2009). https://doi.org/10.1007/BF03263312

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