The genetic architecture of resistance to virus infection in Drosophila

Autor(es)

Cogni, Rodrigo ; Cao, Chuan ; Day, Jonathan P. ; Bridson, Calum ; Jiggins, Francis M.

• Tipo de documento: Artigo Científico
• Fonte: Molecular Ecology; v. 25, n. 20, p. 5228-5241, OCT 2016.
• Citações Web of Science: 11

Resumo

Variation in susceptibility to infection has a substantial genetic component in natural populations, and it has been argued that selection by pathogens may result in it having a simpler genetic architecture than many other quantitative traits. This is important as models of host-pathogen co-evolution typically assume resistance is controlled by a small number of genes. Using the Drosophila melanogaster multiparent advanced intercross, we investigated the genetic architecture of resistance to two naturally occurring viruses, the sigma virus and DCV (Drosophila C virus). We found extensive genetic variation in resistance to both viruses. For DCV resistance, this variation is largely caused by two major-effect loci. Sigma virus resistance involves more genes - we mapped five loci, and together these explained less than half the genetic variance. Nonetheless, several of these had a large effect on resistance. Models of co-evolution typically assume strong epistatic interactions between polymorphisms controlling resistance, but we were only able to detect one locus that altered the effect of the main effect loci we had mapped. Most of the loci we mapped were probably at an intermediate frequency in natural populations. Overall, our results are consistent with major-effect genes commonly affecting susceptibility to infectious diseases, with DCV resistance being a near-Mendelian trait. (AU)

• Processo FAPESP: 15/08307-3 - Evolução de resistência a vírus em D. melanogaster: efeito do endossimbionte Wolbachia e de polimorfismos no gene pastrel em um experimento de seleção
• Beneficiário: Rodrigo Cogni
• Modalidade de apoio: Bolsas no Exterior - Pesquisa
• Processo FAPESP: 13/25991-0 - Ecologia genômica de insetos: adaptações ao clima e evolução de interações ecológicas
• Beneficiário: Rodrigo Cogni
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores