title: A Genome-Scale Investigation of Incongruence in Culicidae Mosquitoes.
abstract: Comparison of individual gene trees in several recent phylogenomic studies from diverse lineages has revealed a surprising amount of topological conflict or incongruence, but we still know relatively little about its distribution across the tree of life. To further our understanding of incongruence, the factors that contribute to it and how it can be ameliorated, we examined its distribution in a clade of 20 Culicidae mosquito species through the reconstruction and analysis of the phylogenetic histories of 2,007 groups of orthologous genes. Levels of incongruence were generally low, the three exceptions being the internodes concerned with the branching of Anopheles christyi, with the branching of the subgenus Anopheles as well as the already reported incongruence within the Anopheles gambiae species complex. Two of these incongruence events (A. gambiae species complex and A. christyi) are likely due to biological factors, whereas the third (subgenus Anopheles) is likely due to analytical factors. Similar to previous studies, the use of genes or internodes with high bootstrap support or internode certainty values, both of which were positively correlated with gene alignment length, substantially reduced the observed incongruence. However, the clade support values of the internodes concerned with the branching of the subgenus Anopheles as well as within the A. gambiae species complex remained very low. Based on these results, we infer that the prevalence of incongruence in Culicidae mosquitoes is generally low, that it likely stems from both analytical and biological factors, and that it can be ameliorated through the selection of genes with strong phylogenetic signal. More generally, selection of genes with strong phylogenetic signal may be a general empirical solution for reducing incongruence and increasing the robustness of inference in phylogenomic studies.
authors.affiliation: Department of Entomology, China Agricultural University, Beijing, China Department of Biological Sciences, Vanderbilt University.
authors.forename: Yuyu
authors.initials: Y
authors.lastname: Wang
authors.affiliation: Department of Biological Sciences, Vanderbilt University.
authors.forename: Xiaofan
authors.initials: X
authors.lastname: Zhou
authors.affiliation: Department of Entomology, China Agricultural University, Beijing, China dyangcau@126.com antonis.rokas@vanderbilt.edu.
authors.forename: Ding
authors.initials: D
authors.lastname: Yang
authors.affiliation: Department of Biological Sciences, Vanderbilt University dyangcau@126.com antonis.rokas@vanderbilt.edu.
authors.forename: Antonis
authors.initials: A
authors.lastname: Rokas
mesh_terms: D000818:Animals; D000852:Anopheles / Q000145:classification / Q000235:genetics*; D049750:Genome, Insect; D010802:Phylogeny; D012641:Selection, Genetic
keywords: bipartition; bootstrap support (BS); gene tree; internode certainty (IC); maximum likelihood