Microsatellites for parentage analysis in an oil palm breeding population.

Authors

  • Songkran Thongthawee Center for Agricultural Biotechnology, Kasetsart University, Kamphaengsaen Campus, Nakhon Pathom 73140, Thailand Center of Excellence on Agricultural Biotechnology: (AG-BIO/PERDO-CHE), Bangkok, Thailand
  • Palat Tittinutchanon Univanich Palm Oil Public Company Ltd., Krabi, Thailand
  • Hugo Volkaert Center for Agricultural Biotechnology, Kasetsart University, Kamphaengsaen Campus, Nakhon Pathom 73140, Thailand Center of Excellence on Agricultural Biotechnology: (AG-BIO/PERDO-CHE), Bangkok, Thailand Plant Research Group, National Center for Genetic Engineering and Biotechnology (BIOTEC), Thailand Science Park, Khlong Luang, Pathum Thani, 10120

DOI:

https://doi.org/10.14456/tjg.2010.1

Keywords:

microsatellites, oil palm, DNA fingerprinting, paternity, parentage.

Abstract

Oil palm is an important oil crop in tropical regions. Breeding for improved varieties yielding more oil per area planted is a slow and difficult process. Establishing control-pollinated oil palm progenies for breeding purposes is not without problems as it takes a long time and many steps from pollination, seed collection, germination, to field planting. At each of these steps errors could arise. A breeding programme requires 100% certainty of correct parentage in the progeny trials. The allele frequencies at eight oil palm microsatellite loci were determined among the parents and progenies in an oil palm breeding programme. Paternity and/or parentage likelihoods were calculated for the offspring. Even though the oil palm breeding populations in Southeast Asia are assumed to have low genetic diversity because of their recent introduction from just a few founder trees, the eight loci combined had sufficient power to detect errors with great confidence. Three clear planting errors and one presumed pollination error were detected among 245 individuals in 6 full sib families. The overall genetic structure of the oil palm breeding population was evaluated using the same loci. A combination of four loci was already sufficient to reach a non-exclusion level below 1% for the detection of planting errors. To detect pollination errors confidently, 7 or 8 loci would be necessary.

References

Bassam, B.J, Caetano-Anollés, G. and Gresshoff, P.M. 1991. Fast and sensitive silver staining of DNA in polyacrylamide gels. Anal Biochem 196: 80-83.

Billote, N., Marseillac, N., Risterucci, A.M., Adon, B., Brottier, P., Baurens, F.C., Singh, R.,Herra, A., Asmady, H., Billot, C., Amblard, P., Durand-Gasselin T., Courtois, B., Asmonoet, D., Cheah, S. C., Rohde, W., Ritter, E. and Charrier, A. 2005. Microsatellite-based high density linkage map in oil palm (Elaeis guineensis Jacq.). Theor Appl Genet 110: 754-765.

Botstein, D., White, R.L., Skolnick, M. and Davis, R.W. 1980. Construction of a genetic linkage map in man using restriction fragment length polymorphisms. Am. J. Hum. Genet. 32: 314-331.

Chin, C.W. 1999. Oil palm breeding techniques. Proceeding of the Science of Oil Palm Breeding Seminar, PORIM, Bangi, Malaysia. pp. 49-64.

Corley, R.H.V. 2005. Illegitimacy in oil palm breeding-a review. J Oil Palm Res 17: 64-69.

Donough, C.R. and Lai, C. 1993. Pamol’s approach to quality control in controlled pollination for DxP seed production. Planter 69: 163-175.

Evanno, G., Regnaut S. and Goudet J. 2005. Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14: 2611-2620.

Falush, D., Stephens M. and Pritchard, J.K. 2007. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol Ecol Notes 7: 574-578.

Fujimori, S., Washio, T., Higo, K., Ohtomo, Y., Murakami, K., Matsubara, K., Kawai, J., Carninci, P., Hayashizaki, Y., Kikuchi, S. and Tomita, M. 2003. A novel feature of microsatellites in plants: a distribution gradient along the direction of transcription. FEBS Lett 554: 17-22.

Karp, A. and Edwards, K.J. 1997. Molecular techniques in the analysis of the extent and distribution of genetic diversity. In: W. G. Ayad, T. Hodgkin, A. Jaradat and V.R. Rao (eds.). Molecular Genetic Techniques for Plant Genetic Resources. International Plant Genetic Resources Institute, Rome. pp. 11-22.

Lanaud, C. and Lebot, V. 1997. Molecular techniques for increasing use of genetic resources. In: W. G. Ayad, T. Hodgkin, A. Jaradat and V.R. Rao (eds.). Molecular Genetic Techniques for Plant Genetic Resources. International Plant Genetic Resources Institute, Rome. pp. 92-97.

Luyindula, N., Mantantu, N., Dumortier, F. and Corley, R.H.V. 2005. Effects of inbreeding on growth and yield of oil palm. Euphytica 143: 9-17.

Marshall, T.C., Slate, J., Kruuk, L.E.B. and Pemberton, J.M. 1998. Statistical confidence for likelihood-based paternity inference in natural populations. Mol Ecol 7: 639-655.

Perrier, X., Flori, A. and Bonnot, F. 2003. Data analysis methods. In: P. Hamon, M. Seguin, X. Perrier and J.C. Glaszmann (eds.) Genetic Diversity of Cultivated Tropical Plants. Enfield, Science Publishers. Montpellier. pp. 43-76.

Rao, V. and Kushairi, A. 1999. Quality of oil palm planting material. Proceeding of the 1996 Seminar on Sourcing of Oil Palm Planting Materials for Local and Overseas Joint Ventures. PORIM, Bangi, Malaysia. pp. 188-197.

Riaz, S., Vezzulli, S., Harbertson, E.S. and Walker, M.A. 2007. Use of molecular markers to correct grape breeding errors and determine the identity of novel sources of resistance to Xiphinema index and Pierce’s disease. Am J Enol Vitic 58: 494-498.

Rosenquist, E.A. 1986. The genetic base of oil palm breeding populations. Proceeding of the International Workshop on Oil Palm Germplasm and Utilisation. PORIM, Bangi, Malaysia. pp. 27-56.

Rousset, F. 2008. GENEPOP’007: a complete reimplementation of the GENEPOP software for Windows and Linux. Mol Ecol Resources 8: 103-106.

Schug, M.D., Mackay, T.F. and Aquadro, C.F. 1997. Low mutation rates of microsatellite loci in Drosophila melanogaster. Nat Genet 15: 99-102.

Simmonds, N.W. 1993. Introgression and incorporation: strategies for the use of crop genetic resources. Biol Rev 68: 539-562.

Thuillet, A.C., Bru, D., David, J., Roumet, P., Santoni, S., Sourdille, P. and Bataillon, T. 2002. Direct estimation of mutation rate for 10 microsatellite loci in durum wheat, Triticum turgidum (L.) Thell. ssp. durum Desf. Mol Biol Evol 19: 122-125.

Udupa, S.M., and Baum, M. 2001. High mutation rate and mutational bias at (TAA)n microsatellite loci in chickpea (Cicer arietinum L.). Mol Genet Genomics 265: 1097-1103.

Vigouroux, Y., Jaqueth, J.S., Matsuoka, Y., Smit, O.S., Beavis, W.D., Smith, J.S.C., and Doebley, J. 2002. Rate and pattern of mutation at microsatellite loci in maize. Mol Biol Evol 19: 1251-1260.

Weber, J.L., and Wong, C. 1993. Mutation of human short tandem repeats. Hum Mol Genet 2: 1123-1128.

Downloads

Published

2012-07-12

Issue

Section

Research Articles