title: Say goodbye to tribes in the new house fly classification: A new molecular phylogenetic analysis and an updated biogeographical narrative for the Muscidae (Diptera).
abstract: House flies are one of the best known groups of flies and comprise about 5000 species worldwide. Despite over a century of intensive taxonomic research on these flies, classification of the Muscidae is still poorly resolved. Here we brought together the most diverse molecular dataset ever examined for the Muscidae, with 142 species in 67 genera representing all tribes and all biogeographic regions. Four protein coding genes were analyzed: mitochondrial CO1 and nuclear AATS, CAD (region 4) and EF1-α. Maximum likelihood and Bayesian approaches were used to analyze five different partitioning schemes for the alignment. We also used Bayes factors to test monophyly of the traditionally accepted tribes and subfamilies. Most subfamilial taxa were not recovered in our analyses, and accordingly monophyly was rejected by Bayes factor tests. Our analysis consistently found three main clades of Muscidae and so we propose a new classification with only three subfamilies without tribes. Additionally, we provide the first timeframe for the diversification of all major lineages of house flies and examine contemporary biogeographic hypotheses in light of this timeframe. We conclude that the muscid radiation began in the Paleocene to Eocene and is congruent with the final stages of the breakup of Gondwana, which resulted in the complete separation of Antarctica, Australia, and South America. With this newly proposed classification and better understanding of the timing of evolutionary events, we provide new perspectives for integrating morphological and ecological evolutionary understanding of house flies, their taxonomy, phylogeny, and biogeography.
authors: Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, PR, Caixa Postal 19020, 81531-980, Brazil; Department of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA. Electronic address: licahaseyama@gmail.com.
authors: Kirstern L F
authors: KL
authors: Haseyama
authors: Department of Entomology, North Carolina State University, Raleigh, NC 27695-7613, USA.
authors: Brian M
authors: BM
authors: Wiegmann
authors: Laboratório de Biologia Comparada e Abelhas, Departamento de Biologia, Faculdade de Filosofia, Ciências e Letras, Universidade de São Paulo, Ribeirão Preto, SP 14040-901, Brazil.
authors: Eduardo A B
authors: EA
authors: Almeida
authors: Departamento de Zoologia, Universidade Federal do Paraná, Curitiba, PR, Caixa Postal 19020, 81531-980, Brazil.
authors: Claudio J B
authors: CJ
authors: de Carvalho
mesh_terms: D000818:Animals; D000864:Antarctic Regions; D001315:Australia; D001499:Bayes Theorem; D005075:Biological Evolution; D003576:Electron Transport Complex IV / Q000235:genetics; D006793:Houseflies / Q000145:classification / Q000235:genetics; D019476:Insect Proteins / Q000235:genetics; D009117:Muscidae / Q000145:classification* / Q000235:genetics*; D020648:Peptide Elongation Factor 1 / Q000235:genetics; D010802:Phylogeny; D058974:Phylogeography; D017422:Sequence Analysis, DNA; D013020:South America
chemical_list: D019476:Insect Proteins; D020648:Peptide Elongation Factor 1; D003576:Electron Transport Complex IV
keywords: Bayes factor; Biogeography; Calyptratae; Divergence time estimation; Gondwana; Taxonomy