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An augmented supermatrix phylogeny of the avian family Picidae reveals uncertainty deep in the family tree.
Dufort, Matthew J.
Afiliação
  • Dufort MJ; Graduate Program in Ecology, Evolution and Behavior, University of Minnesota, 100 Ecology Building, 1987 Upper Buford Circle, Saint Paul, MN 55108, United States. Electronic address: dufor003@umn.edu.
Mol Phylogenet Evol ; 94(Pt A): 313-26, 2016 Jan.
Article em En | MEDLINE | ID: mdl-26416706
ABSTRACT
The accumulation of DNA sequence data in public repositories allows for phylogenetic inference on unprecedented taxonomic scales using supermatrix approaches. Careful analysis of available data allows strategic augmentation with new sequences in order to maximize taxonomic sampling and coverage of informative loci. I inferred relationships among 179 species (76%) in the avian family Picidae (woodpeckers, piculets, and wrynecks), using publicly available sequence data supplemented with targeted sequencing to increase species-level and locus-level sampling and maximize resolution. Results of these analyses generally corroborate previous molecular studies, with consensus on the membership of most genera and tribes. However, several newly placed taxa show surprising affinities, and several genera as currently delineated appear to be paraphyletic. Relationships among major clades of Picidae remain poorly resolved, particularly among the three lineages of piculets, the unusual woodpecker genus Hemicircus, and the remaining woodpeckers, and among the major groups of true woodpeckers (Picinae). If these deep relationships are to be resolved, phylogenomic approaches may be necessary.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aves Limite: Animals Idioma: En Revista: Mol Phylogenet Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aves Limite: Animals Idioma: En Revista: Mol Phylogenet Evol Assunto da revista: BIOLOGIA / BIOLOGIA MOLECULAR Ano de publicação: 2016 Tipo de documento: Article