Data curation and modeling of compositional heterogeneity in insect phylogenomics: A case study of the phylogeny of Dytiscoidea (Coleoptera: Adephaga).
Compositional heterogeneity
Hydradephaga
Hygrobiidae
Site-heterogeneous model
Transcriptomics
Journal
Molecular phylogenetics and evolution
ISSN: 1095-9513
Titre abrégé: Mol Phylogenet Evol
Pays: United States
ID NLM: 9304400
Informations de publication
Date de publication:
06 2020
06 2020
Historique:
received:
03
02
2020
accepted:
26
02
2020
pubmed:
10
3
2020
medline:
24
9
2020
entrez:
10
3
2020
Statut:
ppublish
Résumé
Diving beetles and their allies are an almost ubiquitous group of freshwater predators. Knowledge of the phylogeny of the adephagan superfamily Dytiscoidea has significantly improved since the advent of molecular phylogenetics. However, despite recent comprehensive phylogenomic studies, some phylogenetic relationships among the constituent families remain elusive. In particular, the position of the family Hygrobiidae remains uncertain. We address these issues by re-analyzing recently published phylogenomic datasets for Dytiscoidea, using approaches to reduce compositional heterogeneity and adopting a site-heterogeneous mixture model. We obtained a consistent, well-resolved, and strongly supported tree. Consistent with previous studies, our analyses support Aspidytidae as the monophyletic sister group of Amphizoidae, and more importantly, Hygrobiidae as the sister of the diverse Dytiscidae, in agreement with morphology-based phylogenies. Our analyses provide a backbone phylogeny of Dytiscoidea, which lays the foundation for better understanding the evolution of morphological characters, life habits, and feeding behaviors of dytiscoid beetles.
Identifiants
pubmed: 32147574
pii: S1055-7903(20)30054-3
doi: 10.1016/j.ympev.2020.106782
pii:
doi:
Substances chimiques
Amino Acids
0
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
106782Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BB/T012773/1
Pays : United Kingdom
Commentaires et corrections
Type : CommentIn
Informations de copyright
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