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2012-11-28

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cc-by (c) Barbosa, A. Márcia et al., 2012
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/127820

Phylogenetic triangulation: Using predator-prey-parasite interactions to infer population history from partial genetic information

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https://doi.org/10.1371/journal.phone.0050877

Abstract

Phylogeographic studies, which infer population history and dispersal movements from intra-specific spatial genetic variation, require expensive and time-consuming analyses that are not always feasible, especially in the case of rare or endangered species. On the other hand, comparative phylogeography of species involved in close biotic interactions may show congruent patterns depending on the specificity of the relationship. Consequently, the phylogeography of a parasite that needs two hosts to complete its life cycle should reflect population history traits of both hosts. Population movements evidenced by the parasite's phylogeography that are not reflected in the phylogeography of one of these hosts may thus be attributed to the other host. Using the wild rabbit (Oryctolagus cuniculus) and a parasitic tapeworm (Taenia pisiformis) as an example, we propose comparing the phylogeography of easily available organisms such as game species and their specific heteroxenous parasites to infer population movements of definitive host/predator species, independently of performing genetic analyses on the latter. This may be an interesting approach for indirectly studying the history of species whose phylogeography is difficult to analyse directly.

Subject

Expressió gènica, Biologia molecular, Filogeografia, Biogeografia, Parasitologia, Zoologia, Migració d'animals, Zoogeografia

Subject (English)

Gene expression, Molecular biology, Phylogeography, Biogeography, Parasitology, Zoology, Animal migration, Zoogeography

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Articles publicats en revistes (Biologia, Sanitat i Medi Ambient)

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BARBOSA, A. Márcia, et al. Phylogenetic triangulation: Using predator-prey-parasite interactions to infer population history from partial genetic information. PLoS One. 2012. Vol. 7, num. 11, pags. e50877-. ISSN 1932-6203. [consulted: 12 of August of 2026]. Available at: https://hdl.handle.net/2445/127820

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