Please use this identifier to cite or link to this item:
Type: Artigo de periódico
Title: Molecular Phylogenetics Of Oestroidea (diptera: Calyptratae) With Emphasis On Calliphoridae: Insights Into The Inter-familial Relationships And Additional Evidence For Paraphyly Among Blowflies.
Author: Marinho, M A T
Junqueira, A C M
Paulo, D F
Esposito, M C
Villet, M H
Azeredo-Espin, A M L
Abstract: The superfamily Oestroidea, comprising ∼15,000 species, is a large and ecologically diverse clade within the order Diptera. Among its six commonly recognized families, Calliphoridae seems to be crucial for understanding evolutionary relationships in the group, as it is recognized as a controversial paraphyletic grouping. To further investigate this matter, the ITS2, 28S, COI and 16S regions were used to infer phylogenetic relationships in Oestroidea with maximum-parsimony (MP), maximum-likelihood (ML) and Bayesian inference (BI) methods. For the BI analyses, a deep evaluation of different data partitioning strategies was conducted, including consideration of structural conformation (ITS2 and 16S) and codon position (COI) information. Results suggest the existence of two main clades in Oestroidea: (Tachinidae+Mesembrinellinae) and (Rhiniinae, (Sarcophagidae+Calliphoridae sensu stricto)). Oestridae was recovered as sister group of the remaining Oestroidea in the MP trees while it was placed closer to the (Rhiniinae+Sarcophagidae+Calliphoridae sensu stricto) group in the ML and BI trees. A paraphyletic Calliphoridae was recovered, confirming the exclusion of Rhiniinae, a clade recently promoted to family status and therefore already excluded. Mesembrinellinae could also be considered a distinct group apart from Calliphoridae, although further studies are required. Consideration of structural and codon position information led to a significant increase in the log-likelihoods of the analyses, which were accompanied by small changes in the inferred topologies, branch lengths and posterior probability support values. However, as model complexity increases, so does uncertainty across the estimated parameters, including tree topologies, and phylogenies inferred under very parameter-rich models may be less reliable even when possessing higher log-likelihoods.
Subject: Animals
Bayes Theorem
Biological Evolution
Dna, Mitochondrial
Dna, Ribosomal Spacer
Likelihood Functions
Models, Genetic
Nucleic Acid Conformation
Sequence Alignment
Sequence Analysis, Dna
Rights: fechado
Identifier DOI: 10.1016/j.ympev.2012.08.007
Date Issue: 2012
Appears in Collections:Artigos e Materiais de Revistas Científicas - Unicamp

Files in This Item:
File SizeFormat 
pmed_22926310.pdf914.76 kBAdobe PDFView/Open

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.