Assessment of genetic diversity and relationship of coastal salt tolerant rice accessions of Kerala (South India) using microsatellite markers

Document Type : Original research paper

Authors

Department of Botany, Sacred Heart College, Thevara, Kochi, Kerala, India

Abstract

Rice (Oryza sativa L.) is one of the most significant cereal crops, about 3 billion people, nearly half the world's population; depend on rice for survival and it offers up to 80% of daily energy intake in most of the Asian countries. Knowledge of the distribution, extent and pattern of genetic variation is useful for estimation of any possible loss of genetic diversity and its role in breeding programs. This work assessed the genetic diversity among 25 coastal rice populations of five regions of Kerala (South India) using 18 microsatellite markers. A mean PIC value of 0.37 and an average of 3.5 alleles per loci were observed. Mean Heterozygosity value of 0.29 and gene diversity value of 0.41 was attained. AMOVA demonstrated that genetic differentiation was significant at P< 0.001 and FST index value of 0.035 was obtained. Of the total diversity, 57.76% was attributed within individuals, 38.71% was attributed among individuals within populations and 3.53% among populations. Information regarding the amount of genetic variations in these salt tolerant coastal accessions and genetic relationship between genotypes are essential for designing effective breeding programs. Especially, to meet the differentiated goals of plant breeding such as breeding for increasing yield, wider adaptation, desirable quality, pest and disease resistance.

Keywords

[1]      Brown, A.H.D.2000. The genetic structure of crop landraces and challenge to conserve them in situ on farms, in Genes in the field: On farm conservation of crop diversity. S B Brush. Lewis Publishers, Boca Raton, FL, USA. Pp29-48.
 [2]     Christine Kubik, Joshua Honig, William, A. Meyer and Stacy, A. Bonos.2009. Genetic diversity of creeping bent grass cultivars using SSR markers. International Turf grass Society Research Journal, 11: 533-547.
 [3]     Coburn, J.R., Temnykh, S.V., Paul, E.M. and McCouch, S.R. 2002. Design and application of microsatellite marker panels for semi-automated genotyping of rice (Oryza sativa L.). Theoretical and Applied Genetics, 42(6): 2092-2099.
 [4]     Kamarouthu D.2013. Study of Genetic Diversity in Karnataka Rice (Oryza Sativa) Landraces using trait specific Simple Sequence Repeat (SSR) markers. International Journal of Thesis Projects and Dissertations, 1(1): 45-70.
 [5]     Gayacharan Bisht, I.S., Avinash Pandey, Yadav, M.C. and Rana, J.C.2015. Population structure of upland red rice (Oryza sativa L.) landraces from North-western Indian Himalayas. Indian Journal of Biotechnology, 14: 42-48.
 [6]     Kanawapee, N., Sanitchon, J., Srihaban, P. and Theerakulpisut, P. 2011. Genetic diversity analysis of ricecultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers. Electronic Journal of Biotechnology, 14: 2-2.
 [7]     Kiambi, D.K., Newbury, H.J., Ford-Lloyd, B.V. and Dawson, I.2005. Contrasting genetic diversity among Oryza longistaminata (A chew at Rohr) from different geographic origins using AFLP. African Journal of Biotechnology, 4(4): 308-317.
 [8]     Kitavi, M.N., Kiambi, D.K., Haussman, D., Semagn, K., Muluvi, G., Kairichi, M. and Machuka, J. 2009. Assessment of the genetic diversity and pattern of relationship of West African sorghum accessions using microsatellite markers. African Journal of Biotechnology, 13(14): 1503-1514.
 [9]     Rabbani, M. A., shahid Masood, M., Shinwari, Z. K. and yamaguchi-shinozaki, K. 2010. Genetic analysis of basmati and non-basmati Pakistani rice (Oryza sativa L.) cultivars using microsatellite markers. Pakistan Journal of Botany, 42 (4): 2551-2564.
 [10]   McCouch, S.R., Teytelman, L., Xu, Y., Lobos, K.B., Clare, K., Walton, M., Fu, B., Maghirang, R., Li, Z. and Xing, Y.2002. Development and mapping of 2240 new SSR markers for rice (Oryza sativa L.). DNA Research, 9: 199– 207.
 [11]   Nantawan, K., Jirawat, S., Pranee, S. and Piyada, T. 2011. Genetic diversity analysis of rice cultivars (Oryza sativa L.) differing in salinity tolerance based on RAPD and SSR markers. Electronic Journal of Biotechnology, 14(6): 1-17.
 [12]   Nei, M. and Takezaki, N.1983. Estimation of genetic distances and phylogenetic trees from DNA analysis. Proceedings 5th World Congress of Genetics Applied to Livestock Production, 21:405-412.
 [13]   Ishak, N. K., Sulaiman, Z. and Tennakoon K. 2015. Genetic variation of 12 rice cultivars grown in Brunei Darussalam and assessment of their tolerance to saline environment. African Journal of Biotechnology, 14(12): 1029-1038.
 [14]   Pal, S., Jain, S., Saini, N. and Jain, R.K. 2001. DNA isolation from milled rice samples for PCR-based molecular marker analysis. Rice Genetics Newsletter, 18(42): 94-97.
 [15]   Pamela Lund.2011. Massively Networked: How the Convergence of Social Media and Technology is changing your life. PLI media, San Francisco, pp121.
 [16]   Upadhay, P. Kumar Singh, V. and Neeraja C. N. 2011. Identification of genotype specific alleles and molecular diversity assessment of popular rice (Oryza sativa L.) varieties of India. International journal of plant breeding and genetics, 5(2): 130-140.
 [17]   Cao, Q. Lu, Hui xia, B. Rong, J., Sala, F., Spada, A. and Grassi, F. 2006. Genetic diversity and origin of weedy rice (Oryza sativa f. spontanea) populations found in northeastern China revealed by Simple Sequence Repeat (SSR) markers. Annals of Botany, 98(6): 1241–1252.
 [18]   Seetharam, K., Thirumeni, S. and Paramasivam, K.2009. Estimation of genetic diversity in rice (Oryza sativa L.) genotypes using SSR markers and morphological characters. African Journal of Biotechnology, 8(10): 2050-2059.
 [19]   Kabir Shakil, S., Sultana, S., Hasan, M. M. Hossain, M. M. Md Shamsher, A. and H Prodhan, S. 2015. SSR marker based genetic diversity analysis of modern rice varieties and coastal landraces in Bangladesh. Indian Journal of Biotechnology, 14: 33-41.
 [20]   Yadav, S. Singh, A. Singh, M.R., Goel, N., Vinod, K.K., Mohapatra, T. and Singh, A.K. 2013. Assessment of genetic diversity in Indian rice germplasm (Oryza sativa L.): use of random versus trait-linked microsatellite markers. Journal of Genetics, 92 (3): 545 -558.
 [21]   Shylaraj, K.S. and Sasidharan, N.K. 2005. VTL 5- A high yielding salinity tolerant rice variety for the coastal saline ecosystems of Kerala. Journal of Tropical Agriculture, 43(1- 2): 25–28.
 [22]   Shylaraj, K.S., Sasidharan, N.K. and Sreekumaran, V. 2006. VTL 6: A semi-tall, non-lodging, and high yielding rice (Oryza sativa L.) variety for the coastal saline zones of Kerala. Journal of Tropical Agriculture, 44 (1-2):48-51.
 [23]   Temnykh, S., Park, W.D., Ayes, N., Cartinhour, S., Hauck, N., Lipovich, L., Cho, Y.G., Ishii, T. and McCouch, S.R.2000. Mapping and genome organization of microsatellite sequences in rice (Oryza sativa L.). Theoretical and Applied Genetics, 100(5): 697-712.
 [24]   Temnykh, S., Genevieve DeClerck, Angelika Lukashova, Leonard Lipovich, Samuel Cartinhour and Susan McCouch. 2001. Computational and Experimental Analysis of Microsatellites in Rice (Oryza sativa L.): Frequency, Length Variation, Transposon Associations, and Genetic Marker Potential. Genome Research, 11: 1441-1452.
 [25]   Pusadee, T., Jamjod, S., Chiang, Y., Rerkasem, B. and Schaal, B. A. 2009. Genetic structure and isolation by distance in a landrace of Thai rice. Proc Nat Acad Sci U S A, 106(33): 13880–13885.
Volume 4, Issue 1
June 2016
Pages 35-42
  • Receive Date: 13 March 2016
  • Revise Date: 07 May 2016
  • Accept Date: 21 May 2016
  • First Publish Date: 01 June 2016