Your browser doesn't support javascript.
loading
Genetic admixture predicts parasite intensity: evidence for increased hybrid performance in Darwin's tree finches.
Peters, Katharina J; Evans, Christine; Aguirre, J David; Kleindorfer, Sonia.
Afiliação
  • Peters KJ; College of Science and Engineering, Flinders University, Adelaide, Australia.
  • Evans C; School of Natural and Computational Sciences, Massey University, Auckland, New Zealand.
  • Aguirre JD; College of Science and Engineering, Flinders University, Adelaide, Australia.
  • Kleindorfer S; School of Natural and Computational Sciences, Massey University, Auckland, New Zealand.
R Soc Open Sci ; 6(4): 181616, 2019 Apr.
Article em En | MEDLINE | ID: mdl-31183118
Hybridization can increase adaptive potential when enhanced genetic diversity or novel genetic combinations confer a fitness advantage, such as in the evolution of anti-parasitic mechanisms. Island systems are especially susceptible to invasive parasites due to the lack of defence mechanisms that usually coevolve in long-standing host-parasite relationships. We test if host genetic admixture affects parasite numbers in a novel host-parasite association on the Galápagos Islands. Specifically, we compare the number of Philornis downsi in nests with offspring sired by Darwin's small tree finch (Camarhynchus parvulus), Darwin's medium tree finch (C. pauper) and hybrids of these two species. The number of P. downsi decreased with an increasing genetic admixture of the attending male, and nests of hybrid males had approximately 50% fewer parasites than C. parvulus nests, and approximately 60% fewer parasites than C. pauper nests. This finding indicates that hybridization in this system could be favoured by selection and reveal a mechanism to combat an invasive parasite.
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: R Soc Open Sci Ano de publicação: 2019 Tipo de documento: Article