GENETIC STRUCTURE OF (Aspidosperma polyneuron) IN THE STATE OF SÃO PAULO, BRAZIL
DOI:
https://doi.org/10.24278/2178-5031.2011232299Keywords:
population genetics, SSR, molecular makers, genetic conservationAbstract
The genetic structure of Aspidosperma polyneuron Muell Arg. (Apocynaceae) was studied with SSR marker analysis, in Bauru, Gália, Avaré, Piracicaba, Valinhos, Teodoro Sampaio, Botucatu, Porto Ferreira (São Paulo state cities), and Selvíria city (Mato Grosso do Sul state), where leaves were collected for extracting DNA from the population of each site. Seven polymorphic and four monomorphic loci were obtained. Analyzing polymorphic loci, allele number ranged from two to six alleles, and showed high heterozigosity (ho = 0.5209). In eight populations the endogamy inbreeding coefficient f was negative, the nine populations average was -0.0173, and total inbreeding coefficient F was 0.1034, meanwhile the coancestry value θ p among populations was 0.1187. Values of fixation within population FIS (-0.0669), total inbreeding FIT (0.0747), genetic fixation among populations with FST (0.1343) and Gst (Hedrick) (0.4875) index were also obtained. The average gene flow Nm was 1.6121. It displays genetic structure typical of allogamous species with low inbreeding coefficient and high heterozygosity, with isolation between populations. Piracicaba population showed the greatest genetic erosion and isolation, the other populations still remain the original variability for collections aiming conservation and breeding
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References
AKKAYA, M.S. et al. Integration of simple sequence repeat DNA markers into a soybean linkage map. Crop Science, v. 35, p. 1439-1445, 1995.
BRONDANI, R.P.V. et al. Development, characterization and mapping of microsatellite markers in Eucalyptus grandis and E. urophylla. Theoretical and Applied Genetics, v. 97, p. 816-827, 1998
BUTCHER, P.A.; GLAUBITZ, J.C.; MORAN, G.F. Aplicaciones de los marcadores microsatélites en la domesticación y conservación de arboles forestales. Recursos Genéticos Forestales, n. 27, p. 38-47, 1999.
BYRNE, M. et al. Conservation and genetic diversity of microsatellite loci in the genus Eucalyptus. Australian Journal of Botany, v. 44, p. 331-341, 1996.
CARRIERO, F. et al. Identification of simple sequence repeats (SSRs) in olive (Olea europaea L.). Theoretical and Applied Genetics, v. 104, p. 301-307, 2002.
COLLEVATTI, R.G. et al. Population genetic structure of the endangered tropical tree species Caryocar brasiliense, based on variability at microsatellite loci. Molecular Ecology, v. 10, p. 349-356, 2001.
CORREA, P. Dicionário de plantas úteis do Brasil. Rio de Janeiro: Ministério da Agricultura, 1974. v. 4, p. 460-461.
DAYANANDAN, S.; BAWA, K.S.; KESSELI, R. Conservation of microsatellites among tropical trees (Leguminosae). American Journal of Botany, v. 84, n. 12, p. 1658-1663, 1997. ECHT, C.S.; BURNS, R. SSR derived from Pinus taeda ESTs. Disponível em: . Acesso em: 1999.
______. et al. Characterization od microsatellite markers in eastern white pine. Genome, v. 39, p. 1102-1108, 1996.
ELLSTRAND, N.; ELAM, D. Population genetic consequences of small population size: implication for plant conservation. Annual Review of Ecology and Systematics, v. 24, p. 217-242, 1993.
ELSIK, C.G. et al. Low-copy microsatellite markers for Pinus taeda L. Genome, v. 43, n. 3, p. 550-555, 2000.
ESCRIBANO, P.; VIRUEL, M.A.; HORMAZA, J.I. Characterization and cross-species amplification of microsatellite markers in cherimoya (Annona cherimola Mill., Annonaceae). Molecular Ecology Notes, v. 4, p. 746-748, 2004
FERREIRA, M.E.; GRATTAPAGLIA, D. Introdução ao uso de marcadores moleculares em análise genética. Brasília, DF: EMBRAPA-CENARGEN, 1998. 220 p.
GAIOTTO, F.A.; BRONDANI, R.P.V.; GRATTAPAGLIA, D. Microsatellite markers for heart of palm Euterpe edulis and E. oleracea Mart. Molecular Ecology Notes, v. 1, n. 1-2, p. 86-88, 2001.
GOUDET, J. FSTAT: a program to estimate and test gene diversities and fixation indices (version 2.9.3). Disponível em: . Acesso em: 2001.
HAMRICK, J.L. Plant population genetics and evolution. American Journal of Botany, v. 69, n. 10, p. 1865-1893, 1982.
HEDRICK, P.W. A standardized genetic differentiation measure. Evolution, v. 59, p. 1633-1638, 2005.
HICKS, M. et al. The development of RAPD and microsatellite markers in lodgepole pine (Pinus contorta var. latifolia). Genome, v. 41, n. 6, p. 797-805, 1998.
KAGEYAMA, P.Y.; BIELLA, L.C.; PALERMO Jr., A. Plantações mistas com espécies nativas com fins de proteção a reservatório. In: CONGRESSO FLORESTAL BRASILEIRO, 6., Campos do Jordão, 1990. Anais... São Paulo: Sociedade Brasileira de Silvicultura, 1990. v. 1, p. 109-12.
______. et al. Diversidade genética em espécies arbóreas tropicais de diferentes estágios sucessionais por marcadores genéticos. Scientia Forestalis, v. 64, p. 93-107, 2003.
KAMAUS, E.M.; MAYES, S.; BARRETT, A. Isolation and characterization of microsatellite loci in Schizolobium parahyba (Leguminosae). Molecular Ecology Notes, v. 3, p. 469-470, 2003.
KOSTIA, S. et al. Microsatellite sequences in a conifer, Pinus sylvestris. Genome, v. 38, p. 1244-1248, 1995. LEMES, M.R. et al. Population genetic structure of mahogany (Swietenia macrophylla King, Meliaceae) across the Brazilian Amazon, based on variation at microsatellite loci: implications for conservation. Molecular Ecology, v. 12, p. 2875-2883, 2003.
LEWIS, P.O.; ZAYKIN, D. Genetic data analysis: computer program for the analysis of allelic data. Version 1.0 (d15). Disponível em: . Acesso em: 1999.
MARTINS, F.Q.; BATALHA, M.A. Pollination systems and floral traits in cerrado woody species of the upper Taquari Region (Central Brazil). Brazilian Journal of Biology, v. 66(2A), p. 543-552, 2006.
MILLER, M.P. Tools for population genetic analysis (TGFPA). 1.3. [S.l.: s.n.], 1997. (A Windows program for the analysis of allozime and molecular population genetic data. Computer software distributed by the author).
MORIGUCHI, Y. et al. Development and characterization of microsatellite markers for Cryptomeria japonica D. Don. Theoretical and Applied Genetics, v. 106, p. 751-758, 2003.
NEI, M. Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics, v. 89, p. 583-590, 1978. PANDEY, M. et al. Characterization of microsatellite markers in sycamore (Acer pseudoplatanus L.). Molecular Ecology Notes, v. 4, p. 253-255, 2004.
ROSSETTO, M. et al. Abundance and polymorphism of microsatellite markers in the tea tree (Melaleuca alternifolia, Myrtaceae). Theoretical and Applied Genetics, v. 98, p. 1091-1098, 1999.
SLATKIN, M.; BARTON, N.H. A comparison of three indirect methods for estimating average levels of gene flow. Evolution, v. 43, p. 1349-1368, 1989.
SMITH, D.N.; DEVEY, M.E. Ocurrence and inheritance of microsatellites in Pinus radiata. Genome, v. 37, p. 977-983, 1994.
VAUGHAN, S.P.; RUSSELL, K. Characterization of novel microsatellites and development of multiplex PCR for large-scale population studies in wild cherry, Prunus avium. Molecular Ecology Notes, v. 4, p. 429-431, 2004.
VENCOVSKY, R. Biometrical approaches for molecular markers: estimation of effective population size. In: INTERNATIONAL WORKSHOP ON AGRICULTURAL BIOTECHNOLOGY. Proceedings… Piracicaba: ESALQ/USP, 1997. p. 21-22
WEIR, B.S. Genetic data analysis II: methods for discrete population genetic data. Sunderland: Sinauer Associates, 1996. 445 p.
______.; COCKERHAM, C.C. Estimating F – statistics for the analysis of population structure. Evolution, v. 38, n. 6, p. 1358-1370, 1984.
WRIGHT, S. The genetical structure of populations. Annals of Eugenics, v. 15, p. 323-354, 1951.
______. Evolution and the genetics of populations. Chicago: Chicago University Press, 1978. 256 p. (v. 4: Variability within and among populations).
YEH, F.C.; YANG, R. POPGENE version 1.20: Microsoft window-based freeware for population genetic analysis. Edmonton: University of Alberta, Centre for International Forestry Research, 1997.
ZUCCHI, M.I. et al. Genetic structure and gene flow in Eugenia dysenterica DC in the Brazilian Cerrado utilizing SSR markers. Genetics and Molecular Biology, v. 26, n. 4, p. 229-457, 2003
