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Journal of Heredity Advance Access published online on June 26, 2008
Journal of Heredity, doi:10.1093/jhered/esn055
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© The American Genetic Association. 2008. All rights reserved. For permissions, please email: journals.permissions@oxfordjournals.org.

Genetic Structure and Mating System of Euterpe edulis Mart. Populations: A Comparative Analysis Using Microsatellite and Allozyme Markers

Rudimar Conte, Mauricio Sedrez dos Reis, Adelar Mantovani, and Roland Vencovsky

Monsanto do Brasil, Uberlandia Research Station, Rodovia Uberlandia/Araxa, BR 452, Km 149, 38405-232, Uberlandia, MG—Brazil, (Conte); Universidade Federal de Santa Catarina, Departamento de Fitotecnia, Rodovia Admar Gonzaga, 1346, CP 476, 88040-900, Florianópolis, SC, Brazil (Sedrez dos Reis); Universidade do Estado de Santa Catarina, Departamento de Engenharia Florestal, Av. Luiz de Camões, 2090, 88520-000, Lages, SC, Brazil (Mantovani); and Universidade de São Paulo, Escola Superior de Agricultura "Luiz de Queiroz", Departamento de Genética, Av. Padua Dias, 11, CP 83, 13400-970, Piracicaba, SP, Brazil (Vencovsky)

Address correspondence to Rudimar Conte at the address above, or e-mail: rudimar.conte{at}monsanto.com.

A comparative study between microsatellite and allozyme markers was conducted on the genetic structure and mating system in natural populations of Euterpe edulis Mart. Three cohorts, including seedlings, saplings, and adults, were examined in 4 populations using 10 allozyme loci and 10 microsatellite loci. As expected, microsatellite markers had a much higher degree of polymorphism than allozymes, but estimates of multilocus outcrossing rate Formula as well as estimates of genetic structure (FIS, GST), were similar for the 2 sets of markers. Estimates of RST, for microsatellites, were higher than those of GST, but results of both statistics revealed a close agreement for the genetic structure of the species. This study provides support for the important conclusion that allozymes are still useful and reliable markers to estimate population genetic parameters. Effects of sample size on estimates from hypervariable loci are also discussed in this paper.

Corresponding Editor: Jim Hamrick

Received August 7, 2007
Accepted May 22, 2008


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