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Molecular characterization of oil palm Elaeis guineensis Jacq. materials from Cameroon

Published online by Cambridge University Press:  04 January 2013

Diana Arias ,
Carmenza Montoya  and
Hernán Romero
Diana Arias
Affiliation:
Oil Palm Biology and Breeding Research Program, Colombian Oil Palm Research Center – Cenipalma, Street 21, No. 42-55, Bogota, Colombia
Carmenza Montoya
Affiliation:
Oil Palm Biology and Breeding Research Program, Colombian Oil Palm Research Center – Cenipalma, Street 21, No. 42-55, Bogota, Colombia
Hernán Romero*
Affiliation:
Oil Palm Biology and Breeding Research Program, Colombian Oil Palm Research Center – Cenipalma, Street 21, No. 42-55, Bogota, Colombia Department of Biology, Universidad Nacional de Colombia, Cundinamarca 111321, Colombia
*
*Corresponding author. E-mail: [email protected]
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Abstract

The narrow genetic base of existing commercial oil palm cultivars has prompted oil palm breeders to give increased importance to augmenting these genetic resources because the sustainable development of the crop depends largely on the availability of genetic diversity and its use. Therefore, the purpose of this study was to conduct a molecular characterization of an ex situ collection of oil palm Elaeis guineensis Jacq. populations from the Republic of Cameroon using microsatellite molecular markers. Overall, 31 simple sequence repeats were polymorphic, with a total of 223 alleles, 78.4% of which were found at low frequency. The total genetic diversity was relatively high (HT= 0.673). The genetic differentiation between geographical regions was low (GST= 0.023, P= 0.001), and between families it was high (GST= 0.166, P= 0.001), showing greater variation between families than among geographical regions. The molecular data indicate that genetic diversity among the genotypes evaluated is mainly distributed within regions, suggesting that there is no isolation by geographical distance and that all the sampled individuals form a single diverse population. Therefore, it was concluded that a relatively low number of accessions (120 in the analysed case) that includes at least one representative of each family would allow us to efficiently collect almost the entire genetic diversity of Cameroon within the collection studied. This will allow for the efficient use of genetic resources and a reduction in morpho-agronomic characterization costs.

Keywords

core collectiongenetic diversitygenetic resourcesmicrosatellites
Type
Research Article
Information
Plant Genetic Resources , Volume 11 , Issue 2 , August 2013 , pp. 140 - 148
Copyright
Copyright © NIAB 2013 

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References

Arias, DM, Daza, ES, Montoya, C and Romero, HM (2011) Genetic collection of oil palm materials from Cameroon. PALMAS 32: 27–37.Google Scholar
Bakoumé, C, Wickneswari, R, Raijanaidu, N, Kushairi, A, Amblard, P and Billotte, N (2007) Allelic diversity of natural oil palm (Elaeis guineensis Jacq.) populations detected by microsatellites markers. Implication in conservation. PALMAS 28: 149–158.Google Scholar
Barcelos, E, Amblard, P, Berthaud, J and Seguin, M (2002) Genetic diversity and relationship in American and African oil palm as revealed by RFLP and AFLP molecular markers. Pesquisa Agropecuaria Brasileira 37: 1105–1114.Google Scholar
Billotte, N, Marseillac, N, Risterucci, AM, Adon, B, Brottier, P, Baurens, FC, Singh, R, Herrán, A, Asmady, H, Billot, C, Amblard, P, Durand-Gasselin, T, Courtois, B, Asmono, D, Cheah, SC, Rohde, W, Ritter, E and Charrier, A (2005) Microsatellite-based high density linkage map in oil palm (Elaeis guineensis Jacq). Theoretical and Applied Genetics 110: 754–765.CrossRefGoogle ScholarPubMed
Billotte, N, Risterucci, AM, Barcelos, E, Noyer, JL, Amblard, P and Baurens, FC (2001) Development, characterization, and across-taxa utility of oil palm (Elaeis guineensis Jacq) microsatellite markers. Genome 44: 413–425.Google Scholar
Brown, AHD (1989) Core collections: a practical approach to genetic resources management. Genome 31: 818–824.Google Scholar
Buchert, GP, Rajora, OP, Hood, JV and Dancik, BP (1997) Effects of harvesting on genetic diversity in old-growth eastern white pine (Pinus strobus L.) in Ontario, Canada. Conservation Biology 11: 747–758.Google Scholar
Cochard, B, Adon, B, Rekima, S, Billotte, N, Desmier de Chenon, R, Koutou, A, Nouy, B, Omoré, A, Purba, AR, Glazsmann, JC and Noyer, JL (2009) Geographic and genetic structure of African oil palm diversity suggest new approaches to breeding. Tree Genetics & Genomes 5: 493–504.CrossRefGoogle Scholar
Corley, RHV and Tinker, PB (2003) The Oil Palm. Oxford: Blackwell Publishers, p. 562.Google Scholar
Epperson, BK (2003) Geographical Genetics. Princeton, NJ: Princeton University Press, p. 356.CrossRefGoogle Scholar
Excoffier, L and Heckel, G (2006) Computer programs for population genetics data analysis: a survival guide. Nature Reviews Genetics 7: 745–758.Google Scholar
Forero, DC, Hormaza, P and Romero, HM (2012) Phenological growth stages of African oil palm (Elaeis guineensis). Annals of Applied Biology 160: 56–65.Google Scholar
Goudet J (2002) Institute of Ecology. Biology Building, UNIL Software (FSTAT), Version 2.9.3.2. http://www2.unil.ch/popgen/softwares/fstat.htm.Google Scholar
Hayati, A, Wickneswari, R, Maizura, I and Rajanaidu, N (2004) Genetic diversity of oil palm (Elaeis guineensis Jacq) germplasm collections from Africa: implications from improvement and conservation of genetic resources. Theoretical and Applied Genetics 108: 1274–1284.Google Scholar
Hedrick, PW (2005) Genetics of Populations, 3rd edn.Boston: Jones and Bartlett, p. 737.Google Scholar
Kalia, RK, Rai, MK, Kalia, S, Singh, R and Dhawan, AK (2011) Microsatellite markers: an overview of the recent progress in plants. Euphytica 177: 309–334.Google Scholar
Kularatne, RS, Shah, FH and Rajanaidu, N (2001) The evaluation of genetic diversity of Deli dura and African oil palm germplasm collection by AFLP technique. Tropical Agriculture Research 13: 1–12.Google Scholar
Laurentin, H (2009) Data analysis for molecular characterization of plant genetic resources. Genetic Resources and Crop Evolution 56: 277–292.Google Scholar
Luna, R, Epperson, B and Oyama, K (2005) Spatial genetic structure of two sympatric neotropical palms with contrasting life histories. Heredity 95: 298–305.Google Scholar
Maizura, I, Rajanaidu, N, Zakri, A and Cheah, S (2006) Assessment of genetic diversity in oil palm (Elaeis guineensis Jacq) using restriction fragment length polymorphism (RFLP). Genetic Resources and Crop Evolution 53: 187–195.Google Scholar
Mantel, N (1967) The detection of disease clustering and a generalized regression approach. Cancer Research 27: 209–220.Google Scholar
Marshall, DR and Brown, AH (1975) Optimum sampling strategies in genetic conservation. In: Franked, OH and Hawkes, JG (eds) Crop Genetic Resources for Today and Tomorrow. Cambridge, London: Cambridge University Press, pp. 53–80.Google Scholar
Maxted, N, Ford Lloyd, BV, Jury, SL, Kell, SP and Scholten, MA (2006) Towards a definition of a crop wild relative. Biodiversity and Conservation 15: 2673–2685.CrossRefGoogle Scholar
Maxted, N, Scholten, MA, Codd, R and Ford Lloyd, BV (2007) Creation and use of a national inventory of crop wild relatives. Biological Conservation 140: 142–159.CrossRefGoogle Scholar
Montoya, C, Arias, DM, Rey, L and Rocha, PJ (2005) Caracterización molecular de materiales de E. guineensis Jacq. Procedentes de Angola. Fitotecnia Colombiana 5: 1–10.Google Scholar
Nei, M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89: 583–590.CrossRefGoogle ScholarPubMed
Nei, M (1987) Molecular Evolutionary Genetics. New York: Colombia Univeristy Press.CrossRefGoogle Scholar
Nei, M and Li, WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proceedings of the National Academy of Sciences 76: 5269–5273.Google Scholar
Peakall, R and Smouse, P (2006) GenAlEx6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 6: 288–295. Available athttp://biology.anu.edu.au/GenAlEx/Welcome.html.Google Scholar
Perrier X, Jacquemoud-Collet JP (2006) Software (DARwin). Available at http://darwin.cirad.fr./darwin.Google Scholar
Rajora, OP, Rahman, MH, Buchert, GP and Dancik, BP (2000) Microsatellite DNA analysis of genetic efforts of harvesting in old-growth eastern white pine (Pinus strobus) in Ontario, Canada. Molecular Ecology 9: 339–348.Google Scholar
Rohlf, FJ (1998) NTSYSpc: Numerical Taxonomy and Multivariate Analysis System, Version 2.01. New York, NY: Setauket.Google Scholar
SAS (1995) The SAS System for Windows, Release 6.11. Cary, NC: SAS Institute Inc.Google Scholar
Singh, R, Mohd, N, Ting, N, Rosli, R, Tan, S, Leslie, E, Ithnin, M and Cheah, S (2008) Exploiting an oil palm EST database for the development of gene-derived SSR markers and their exploitation for assessment of genetic diversity. Biologic 63: 227–235.Google Scholar
Slatkin, (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139: 457–462.Google Scholar
Syed, RA (1979) Studies on oil palm pollination by insects. Bulletin of Entomological Research 69: 213–214.Google Scholar
Wright, S (1951) The genetical structure of populations. Annual Eugen 15: 323–354.Google Scholar
Wright, S (1965) The interpretation of population structure by F-statistics with special regard to system of mating. Evolution 19: 395–420.Google Scholar
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