Genotyping-by-sequencing approach indicates geographic distance as the main factor affecting genetic structure and gene flow in Brazilian populations of Grapholita molesta (Lepidoptera, Tortricidae)

Autor(es)

Silva-Brandao, Karina Lucas ^[1] ; Batista Neto e Silva, Oscar Arnaldo ^[2] ; Brandao, Marcelo Mendes ^[3] ; Omoto, Celso ^[2] ; Sperling, Felix A. H. ^[4]

Afiliação do(s) autor(es)

^[1] Univ Sao Paulo, Lab Melhoramento Plantas, Ctr Energia Nucl Agr, BR-13400970 Piracicaba, SP - Brazil

^[2] Univ Sao Paulo, Dept Entomol & Acarol, Escola Super Agr Luiz de Queiroz, BR-13400970 Piracicaba, SP - Brazil

^[3] Univ Estadual Campinas, Ctr Biol Mol & Engn Genet, Campinas, SP - Brazil

^[4] Univ Alberta, Dept Biol Sci, Biol Sci Ctr CW405, Edmonton, AB - Canada

• Tipo de documento: Artigo Científico
• Fonte: EVOLUTIONARY APPLICATIONS; v. 8, n. 5, p. 476-485, JUN 2015.
• Citações Web of Science: 13

Resumo

The oriental fruit moth Grapholita molesta is one of the major pests of stone and pome fruit species in Brazil. Here, we applied 1226 SNPs obtained by genotyping-by-sequencing to test whether host species associations or other factors such as geographic distance structured populations of this pest. Populations from the main areas of occurrence of G.molesta were sampled principally from peach and apple orchards. Three main clusters were recovered by neighbor-joining analysis, all defined by geographic proximity between sampling localities. Overall genetic structure inferred by a nonhierarchical amova resulted in a significant phi(ST) value=0.19109. Here, we demonstrate for the first time that SNPs gathered by genotyping-by-sequencing can be used to infer genetic structure of a pest insect in Brazil; moreover, our results indicate that those markers are very informative even over a restricted geographic scale. We also demonstrate that host plant association has little effect on genetic structure among Brazilian populations of G.molesta; on the other hand, reduced gene flow promoted by geographic isolation has a stronger impact on population differentiation. (AU)

• Processo FAPESP: 11/00417-3 - Biologia de sistemas aplicada a agricultura: análise de transcriptomas e interactomas
• Beneficiário: Marcelo Mendes Brandao
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores