BBEST 2011
Resume:33-1


Poster (Painel)
33-1GENETIC LINKAGE MAP IN SUGARCANE USING SNPs
Authors:Marconi, T. G. (CBMEG - Centro de Biologia Molecular e Engenharia GeneticaUNICAMP - Universidade Estadual de Campinas) ; Rodrigues, R. (DEP. DE GENETICA - Departamento de GeneticaESALQ - Escola Superior de Agricultura Luiz de Queiroz) ; Mollinari, M. (DEP. DE GENETICA - Departamento de GeneticaESALQ - Escola Superior de Agricultura Luiz de Queiroz) ; Margarido, G. R. A. (DEP. DE GENETICA - Departamento de GeneticaESALQ - Escola Superior de Agricultura Luiz de Queiroz) ; Vicentini, R. (CBMEG - Centro de Biologia Molecular e Engenharia GeneticaUNICAMP - Universidade Estadual de Campinas) ; Souza, G. M. (IQ - Instituto de QuimicaUSP - Universidade de Sao Paulo) ; Henry, R. J. (CPCG - Centre for Plant Conservation GeneticsSCU - Southern Cross University) ; Pinto, L. R. (IAC/APTA CANA - Centro Avancado da Pesquisa Tecnologica do Agronegocio de Ca) ; Garcia, A. A. F. (DEP. DE GENETICA - Departamento de GeneticaESALQ - Escola Superior de Agricultura Luiz de Queiroz) ; Souza, A. P. (DBV - IB - Departamento de Biologia Vegetal - Instituto de BiologiaUNICAMP - Universidade Estadual de Campinas)

Resume

Sugarcane is one of the most important crops in tropical countries. It’s estimated for Brazil a production of 625 million tons in 2010/2011, a total area of 8 million hectare with an average production of 78 ton/ha. Despite the efforts of the breeding programs, obtaining an improved variety with agronomic traits is a long and laborious process that can take up to 15 years. The development of molecular markers and the construction of genetic maps can help understand the genetic architecture introducing new strategies into breeding programs in order to accelerate the development of new varieties. With advances in molecular technologies, the SNP markers have been widely used because they are the most abundant source of variation in the genome and useful for constructing genetic maps with high resolution, facilitating the identification of QTLs. This study developed and analyzed SNP markers from expressed sequences from SUCEST database and the SNPs were genotyped using the mass spectrometry platform Sequenom. We selected 2908 sequences with differential expression, the software QualitySNP was used to discover the SNPs and the MassArray Assaydesign to design the primers, it was possible to develop 943 SNPs. The markers were genotyped in a mapping population derived from a bi-parental cross of commercial varieties, IACSP 95-3018 as female parent and male parent as IACSP 93-3046, and the progeny of 220 individuals. Of the total, 790 (84%) SNPs were successfully amplified and tested for segregation showing single, double, triple and higher doses in the progeny. We used a previous genetic map constructed with SSRs to incorporate 31 new SNPs. Newly segregation ratio 1:2:1 could be incorporated to the genetic map. Since they are much more informative than single dose markers, there were some reallocations and repositioning of the markers on the previous map, resulting in a better coverage and resolution.


Keyword:  Genetic Mapping, SNP, Functional Mapping, Sequenom, Sugarcane