Skip to main content
Log in

Genetic diversity in basmati rice (Oryza sativa L.) germplasm as revealed by microsatellite (SSR) markers

  • Plant Genetics
  • Published:
Russian Journal of Genetics Aims and scope Submit manuscript

Abstract

Genetic diversity among rice genotypes, including 15 indica basmati advance lines and 5 basmati improved varieties were investigated by 28 SSR markers including one indel marker. The SSRs covered all the 12 chromosomes that distributed across the rice genomes. The mean number of alleles per locus was 3.60, showing average number of polymorphism information content was 0.48. A total of 101 alleles were also identified from the microsatellite marker loci. A number of SSR markers were also identified that could be utilized to differentiate between rice genotypes. Pair wise Nei’s genetic distance between rice genotypes ranged from 0.07 to 0.95. The dendrogram based on cluster analysis by using SSR polymorphism that grouped the 20 genotypes of rice in to five clusters based on their genetic similarity. The result could be useful for the identification and selection of the diverse genotypes for the future cross breeding program and development of new rice varieties.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Vaughan, D.A., Morishima, H., and Kadowaki, K., Diversity in the Genus Oryza, Curr. Opin. Plant Biol., 2003, vol. 6, pp. 139–146.

    Article  PubMed  CAS  Google Scholar 

  2. Causse, M.A., Fulton, T.M., Cho, Y.G., et al., Saturated Molecular Map of the Rice Genome Based on an Interspecific Backcross Population, Genetics, 1994, vol. 138, pp. 1251–1274.

    PubMed  CAS  Google Scholar 

  3. Kurata, N., Nagamura, Y., Yamamot, K., et al., A 300 Kilobase Interval Genetic Map of Rice Including 883 Expressed Sequences, Nat. Genet., 1994, vol. 8, pp. 365–372.

    Article  PubMed  CAS  Google Scholar 

  4. McCouch, S.R., Kochert, G., and Yu, Z.H., et al., Molecular Mapping of Rice Chromosomes, Theor. Appl. Genet., 1988, vol. 76, pp. 815–829.

    Article  CAS  Google Scholar 

  5. Tanksley, S.D., Molecular Markers in Plant Breeding, Plant Mol. Biol. Rep., 1983, vol. 1, pp. 3–8.

    Article  CAS  Google Scholar 

  6. Wang, Z.Y., Second, G., and Tanksley, S.D., Polymorphism and Phylogenetic Relationships among Species in the Genus Oryza as Determined by Analysis of Nuclear RFLPs, Theor. Appl. Genet., 1992, vol. 83, pp. 565–581.

    Article  Google Scholar 

  7. Hamilton, R.S. and Raymond, R., Toward a Global Strategy for the Conservation of Rice Genetic Resources, Rice Is Life: Scientific Perspectives for the 21st Century (Proc. World Rice Res. Conf., Tsukuba), Toriyama, K., Heong, K.L., and Hardy, B., Eds., CD-ROM, 2005, pp. 47–49.

  8. Rabani, M.A., Pervaiz, Z.H., and Masood, M.S., Genetic Diversity Analysis of Traditional and Improved Cultivars of Pakistani Rice (Oryza sativa L.) Using RAPD Markers, Electron. J. Biotechnol., 2008, vol. 11, pp. 1–12.

    Article  Google Scholar 

  9. Byerlee, D., Knowledge-Intensive Crop Management Technologies, Concepts, Impacts, and Prospects in Asian Agriculture (Int. Rice Res. Conf., Bangkok), 1996.

    Google Scholar 

  10. Nevo, E., Genetic Diversity in Wild Cereals: Regional and Local Studies and Their Bearing on Conservation ex situ and in situ, Genet. Resour. Crop Evol., 1998, vol. 45, pp. 355–370.

    Article  Google Scholar 

  11. Jain, S., Jain, R.K., and McCouch, S.R., Genetic Analysis of Indian Aromatic and Quality Rice (Oryza sativa L.) Germplasm Using Panels of Fluorescently-Labeled Microsatellite Markers, Theor. Appl. Genet., 2004, vol. 109, pp. 965–977.

    Article  PubMed  CAS  Google Scholar 

  12. Xu, Y., Beachel, H., and McCouch, S.R., A Marker-Based Approach to Broadening the Genetic Base of Rice in the USA, Crop Sci., 2004, vol. 44, pp. 1947–1959.

    Article  Google Scholar 

  13. Garris, A.J., Tai, T.H., Coburn, J., et al., Genetic Structure and Diversity in Oryza sativa L., Genetics, 2005, vol. 169, pp. 1631–1638.

    Article  PubMed  CAS  Google Scholar 

  14. Ishii, T., Xu, Y., and McCouch, S.R., Nuclear- and Chloroplast-Microsatellite Variation in A-Genome Species of Rice, Genome, 2001, vol. 44, pp. 658–666.

    Article  PubMed  CAS  Google Scholar 

  15. Murray, M.G. and Thompson, W.F., Rapid Isolation of High Molecular Weight Plant DNA, Nucleic Acids Res., 1980, vol. 8, pp. 4321–4326.

    Article  PubMed  CAS  Google Scholar 

  16. Panaud, O., Chen, S., and McCouch, S., Development of Microsatellite Markers and Characterization of Simple Sequence Length Polymorphism (SSLP) in Rice (Oryza sativa L.), Mol. Gen. Genet., 1996, vol. 252, pp. 597–607.

    PubMed  CAS  Google Scholar 

  17. Weir, B.S., Genetic Data Analysis II, Sunderland: Sinauer Associates, 1996, 2nd ed.

    Google Scholar 

  18. Liu, K. and Muse, S.V., Power Marker: Integrated Analysis Environment for Genetic Marker Data, Bioinformatics, 2005, vol. 21, no. 9, pp. 2128–2129.

    Article  PubMed  CAS  Google Scholar 

  19. Chakravarthy, K.B. and Rambabu, N., SSR Marker Based DNA Fingerprinting and Diversity Study in Rice (Oryza sativa L.), African J. Biotechnol., 2006, vol. 5, pp. 684–688.

    Google Scholar 

  20. Ravi, M., Geethanjali, S., Sameeyafaheen, F., and Maheswaran, M., Molecular Marker Based Genetic Diversity Analysis in Rice (Oryza sativa L.) Using RAPD and SSR Markers, Euphytica, 2003, vol. 133, pp. 243–252.

    Article  CAS  Google Scholar 

  21. Xiao, J., Li, J., Yuan, L., McCouch, S.R., and Tanksley, S.D., Genetic Diversity and Its Relationship to Hybrid Performance and Heterosis in Rice as Revealed by PCR-Based Markers, Theor. Appl. Genet., 1996, vol. 92, pp. 637–643.

    Article  CAS  Google Scholar 

  22. Neeraja, C.N., Malathi, S., and Siddiq, E.A., Subspecies-Specific Microsatellite Markers for Rice (Oryza sativa L.). J. Plant Biochem. Biotechnol., 2006, vol. 15, pp. 39–41.

    CAS  Google Scholar 

  23. Singh, R.K., Sharma, R.K., Singh, et al., Suitability of Mapped Sequence Tagged Microsatellite Site Markers for Establishing Distinctness, Uniformity and Stability in Aromatic Rice, Euphytica, 2004, vol. 135, no.2, pp. 35–143.

    Google Scholar 

  24. Jain, N., Jain, S., Saini, N., and Jain, R.K., SSR Analysis of Chromosome 8 Regions Associated with Aroma and Cooked Kernel Elongation in Basmati Rice, Euphytica, 2006, vol. 152, no.2, pp. 259–273.

    Article  CAS  Google Scholar 

  25. Alvarez, A., Fuentes, J.L., Puldon, V., et al., Genetic Diversity Analysis of Cuban Traditional Rice (Oryza sativa L.) Varieties Based on Microsatellite Markers, Genet. Mol. Biol., 2007, vol. 30, no. 4, pp. 1109–1117.

    Article  CAS  Google Scholar 

  26. Giarrocco, L.E., Marassi, M.A., and Salerno, G.L., Assessment of the Genetic Diversity in Argentine Rice Cultivars with SSR Markers, Crop Sci., 2007, vol. 47, no. 2, pp. 853–860.

    Article  CAS  Google Scholar 

  27. Lapitan, V.C., Brar, D.S., Abe, T., and Redona, E.D., Assessment of Genetic Diversity of Philippine Rice Cultivars Carrying Good Quality Traits Using SSR Markers, Breed. Sci., 2007, vol. 57, no.4, pp. 263–270.

    Article  CAS  Google Scholar 

  28. Herrera, T.G., Duque, D.P., Almeida, I.P., et al., Assessment of Genetic Diversity in Venezuelan Rice Cultivars Using Simple Sequence Repeats Markers, Electron. J. Biotechnol., 2008, vol. 11, no. 5, pp. 1–14.

    Google Scholar 

  29. Siwach, P., Jain, S., Saini, N., et al., Allelic Diversity among Basmati and Non-Basmati Long-Grain Indica Rice Varieties Using Microsatellite Markers, J. Plant Biochem. Biotechnol., 2004, vol. 13, no. 1, p. 32.

  30. Ram, S.G., Thiruvengadam, V., and Vinod, K.K., Genetic Diversity among Cultivars, Landraces and Wild Relatives of Rice as Revealed by Microsatellite Markers, J. Appl. Genet., 2007, vol. 48, no. 4, pp. 337–345.

    Article  PubMed  Google Scholar 

  31. Pervaiz, Z.H., Rabbani, M.A., Pearce, S.R., and Malik, S.A., Determination of Genetic Variability of Asian Rice (Oryza sativa L.) Varieties Using Microsatellite Markers, African J. Biotechnol., 2009, vol. 8, no. 21, pp. 5641–5651.

    CAS  Google Scholar 

  32. Zhang, Z., Deng, Y., Tan, J., et al., A Genome-Wide Microsatellite Polymorphism Database for the Indica and Japonica Rice, DNA Res., 2007, pp. 37–45.

  33. Brondani, C., Borba, T.C.O., Rangel, P.H.N., and Brondani, R.P.V., Determination of Genetic Variability of Traditional Varieties of Brazilian Rice Using Microsatellite Markers, Genet. Mol. Biol., 2006, vol. 29, no. 4, pp. 676–684.

    Article  CAS  Google Scholar 

  34. Campos, A.R., Tereza, V., Oliveira, C., et al., Genetic Analysis of a Local Population of Oryza glumaepatula Using SSR Markers: Implications for Management and Conservation Programs, Genetica, 2009, vol. 137, pp. 221–231.

    Article  Google Scholar 

  35. Saini, N., Jain, N., Jain, S., and Jin, R., Assessment of Genetic Diversity within and among Basmati and Non-Basmati Rice Varieties Using AFLP, ISSR and SSR Markers, Euphytica, 2004, vol. 140, pp. 133–146.

    Article  CAS  Google Scholar 

  36. Zhang, Z., Schwartz, S., Wagner, L., and Miller, W., A Greedy Algorithm for Aligning DNA Sequences, J. Comput. Biol., vol. 7, no. 1–2, pp. 203–214.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to M. Ashfaq.

Additional information

The article is published in the original.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Ashfaq, M., Khan, A.S. Genetic diversity in basmati rice (Oryza sativa L.) germplasm as revealed by microsatellite (SSR) markers. Russ J Genet 48, 53–62 (2012). https://doi.org/10.1134/S1022795411120027

Download citation

  • Received:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1022795411120027

Keywords

Navigation