Literature DB >> 23707858

Does better taxon sampling help? A new phylogenetic hypothesis for Sepsidae (Diptera: Cyclorrhapha) based on 50 new taxa and the same old mitochondrial and nuclear markers.

Lei Zhao1, Ang Shi Hui Annie, Srivathsan Amrita, Su Kathy Feng Yi, Meier Rudolf.   

Abstract

We here present a phylogenetic hypothesis for Sepsidae (Diptera: Cyclorrhapha), a group of schizophoran flies with ca. 320 described species that is widely used in sexual selection research. The hypothesis is based on five nuclear and five mitochondrial markers totaling 8813 bp for ca. 30% of the diversity (105 sepsid taxa) and - depending on analysis - six or nine outgroup species. Maximum parsimony (MP), maximum likelihood (ML), and Bayesian inferences (BI) yield overall congruent, well-resolved, and supported trees that are largely unaffected by three different ways to partition the data in BI and ML analyses. However, there are also five areas of uncertainty that affect suprageneric relationships where different analyses yield alternate topologies and MP and ML trees have significant conflict according to Shimodaira-Hasegawa tests. Two of these were already affected by conflict in a previous analysis that was based on the same genes and a subset of 69 species. The remaining three involve newly added taxa or genera whose relationships were previously resolved with low support. We thus find that the denser taxon sample in the present analysis does not reduce the topological conflict that had been identified previously. The present study nevertheless presents a significant contribution to the understanding of sepsid relationships in that 50 additional taxa from 18 genera are added to the Tree-of-Life of Sepsidae and that the placement of most taxa is well supported and robust to different tree reconstruction techniques.
Copyright © 2013 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Conflict; Phylogeny; Sepsidae; Taxon sampling

Mesh:

Substances:

Year:  2013        PMID: 23707858     DOI: 10.1016/j.ympev.2013.05.011

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  7 in total

1.  Phylogeny of the cycads based on multiple single-copy nuclear genes: congruence of concatenated parsimony, likelihood and species tree inference methods.

Authors:  Dayana E Salas-Leiva; Alan W Meerow; Michael Calonje; M Patrick Griffith; Javier Francisco-Ortega; Kyoko Nakamura; Dennis W Stevenson; Carl E Lewis; Sandra Namoff
Journal:  Ann Bot       Date:  2013-08-29       Impact factor: 4.357

2.  Across the Baltic: a new record for an enigmatic black scavenger fly, Zuskamira inexpectata (Pont, 1987) (Sepsidae) in Finland.

Authors:  Yuchen Ang; Patrick Thomas Rohner; Rudolf Meier
Journal:  Biodivers Data J       Date:  2015-06-26

3.  Phylogenetic inference of calyptrates, with the first mitogenomes for Gasterophilinae (Diptera: Oestridae) and Paramacronychiinae (Diptera: Sarcophagidae).

Authors:  Dong Zhang; Liping Yan; Ming Zhang; Hongjun Chu; Jie Cao; Kai Li; Defu Hu; Thomas Pape
Journal:  Int J Biol Sci       Date:  2016-02-20       Impact factor: 6.580

4.  Hidden in the urban parks of New York City: Themira lohmanus, a new species of Sepsidae described based on morphology, DNA sequences, mating behavior, and reproductive isolation (Sepsidae, Diptera).

Authors:  Yuchen Ang; Gowri Rajaratnam; Kathy Fy Su; Rudolf Meier
Journal:  Zookeys       Date:  2017-09-18       Impact factor: 1.546

5.  Using seemingly unnecessary illustrations to improve the diagnostic usefulness of descriptions in taxonomy-a case study on Perochaeta orientalis (Diptera, Sepsidae).

Authors:  Yuchen Ang; Ling Jing Wong; Rudolf Meier
Journal:  Zookeys       Date:  2013-11-25       Impact factor: 1.546

6.  Ivermectin sensitivity is an ancient trait affecting all ecdysozoa but shows phylogenetic clustering among sepsid flies.

Authors:  Nalini Puniamoorthy; Martin A Schäfer; Jörg Römbke; Rudolf Meier; Wolf U Blanckenhorn
Journal:  Evol Appl       Date:  2014-04-10       Impact factor: 5.183

7.  Genomic Mining of Phylogenetically Informative Nuclear Markers in Bark and Ambrosia Beetles.

Authors:  Dario Pistone; Sigrid Mugu; Bjarte Henry Jordal
Journal:  PLoS One       Date:  2016-09-26       Impact factor: 3.240

  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.