Analysis of genetic diversity among Indian Ocean coconut accessions through microsatellite markers
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Cocos nucifera L., genetic diversity, microsatellite markersIssue
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The extent of genetic diversity among nineteen coconut accessions comprising collections from the Indian Ocean Islands were characterized with eight polymorphic microsatellite primers. The fixation index (Fst) was found to be higher (0.78) between Laccadive Micro (LMT) and Chowghat Orange Dwarf (COD) population and the lowest Fst value (0.04) was found among the population Guelle Rose Tall (GLT) and Sri Lankan Tall (SLT). An average Fst value of 0.48 was observed for the accessions indicating higher level of population differentiation among the accessions. The maximum genetic distance (2.29) was observed between Laccadive Green Tall (LGT) and Chowghat Orange Dwarf (COD). The minimum genetic distance (0.04) observed between Laccadive Micro (LMT) and Srilankan Tall (SLT). Overall, the within population variation was found to be higher (67%) than among the population variation (33%) for these coconut accessions. The clustering pattern distinguished two main groups among the Indian Ocean Islands population. The control population COD formed the first group and the remaining populations form the second group. The clustering within the second group revealed the relationship among the accessions under study and the information on possible migration of coconut types within the region which could be useful for planning future collections as well the utilization of conserved types.Abstract
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Bassam, B.J. and Caetano-Anolles, G. 1993. Silver staining of DNA in polyacrylamide gels. Appl. Biochem. Biotech. 42: 181-18. Baudouin, L. and Lebrun, P. 2002. The development of a microsatellite kit and dedicated software for use with coconuts. BUROTROP Bull. :16-19. Gunn, B.F., Baudouin, L. and Olsen, K.M. 2011. Independent origins of cultivated coconut (Cocos nucifera L.) in the Old World Tropics. PLoS ONE. : e21143.doi:10.1371 /journal.pone.0021143. Harries, H.C. 1978. The evolution, dissemination and classification of Cocos nucifera. Bot. Rev. : 265-320. Harries, H.C. 1990. Malesian origin for a domestic Cocos nucifera. In: The Plant Diversity of Malesia (Ed.), Kluwer Academic Publishers, Dordrecht, the Netherlands, pp. 351-57. Harries, H.C. 2002. The “Niu” Indies: Long lost “home” of the coconut. Palms, 46: 97-100. Liu, J. 2001. POWERSSR-A microsatellite data analysis software v 1.2.1. North Carolina State University, Raleigh, NC, USA. Nei, M., Tajima, F. and Tateno, Y. 1983. Accuracy of estimated phylogenic trees from molecular data. II. Gene frequency data. J. Mol. Evol. 19: -70. Peakal, R. and Smouse, P.E. 2001. GENALEX V 0. Genetic analysis in Excel. Population Genetic Software for teaching and research. Australian National University, Canberra, Australia. Available at http://www.anu.edu.au/BoZo/GenAlEx/. Perera, L., Russell, J.R., Provan, J. and Powell, W. 2000. Use of microsatellite DNA markers to investigate the level of genetic diversity and population genetic structure of coconut (Cocos nucifera L.). Genome, 43: 15-21. Upadhyay, A., Parthasarathy, V.A., Seema, G. and Karun, A. 1999. An efficient method of DNA extraction from coconut. Agrotropica, 11: -38.
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