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Detection and Polarization of Introgression in a Five-Taxon Phylogeny.
Pease, James B; Hahn, Matthew W.
Afiliación
  • Pease JB; Department of Biology, Indiana University, 1001 E. Third St., Bloomington, IN 47405, USA and School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA jbpease@indiana.edu.
  • Hahn MW; Department of Biology, Indiana University, 1001 E. Third St., Bloomington, IN 47405, USA and School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA Department of Biology, Indiana University, 1001 E. Third St., Bloomington, IN 47405, USA and School of Informatics and Computing, Indiana University, Bloomington, IN 47405, USA.
Syst Biol ; 64(4): 651-62, 2015 Jul.
Article en En | MEDLINE | ID: mdl-25888025
When multiple speciation events occur rapidly in succession, discordant genealogies due to incomplete lineage sorting (ILS) can complicate the detection of introgression. A variety of methods, including the [Formula: see text]-statistic (a.k.a. the "ABBA-BABA test"), have been proposed to infer introgression in the presence of ILS for a four-taxon clade. However, no integrated method exists to detect introgression using allelic patterns for more complex phylogenies. Here we explore the issues associated with previous systems of applying [Formula: see text]-statistics to a larger tree topology, and propose new [Formula: see text] tests as an integrated framework to infer both the taxa involved in and the direction of introgression for a symmetric five-taxon phylogeny. Using theory and simulations, we show that the [Formula: see text] statistics correctly identify the introgression donor and recipient lineages, even at low rates of introgression. [Formula: see text] is also shown to have extremely low false-positive rates. The [Formula: see text] tests are computationally inexpensive to calculate and can easily be applied to phylogenomic data sets, both genome-wide and in windows of the genome. In addition, we explore both the principles and problems of introgression detection in even more complex phylogenies.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Clasificación Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Filogenia / Clasificación Tipo de estudio: Diagnostic_studies Límite: Animals / Humans Idioma: En Revista: Syst Biol Asunto de la revista: BIOLOGIA Año: 2015 Tipo del documento: Article País de afiliación: Estados Unidos