The power of neuropeptide precursor sequences to reveal phylogenetic relationships in insects: A case study on Blattodea.


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:
02 2020
Historique:
received: 02 07 2019
revised: 09 11 2019
accepted: 13 11 2019
pubmed: 20 11 2019
medline: 11 6 2020
entrez: 20 11 2019
Statut: ppublish

Résumé

Recent state-of-the-art analyses in insect phylogeny have exclusively used very large datasets to elucidate higher-level phylogenies. We have tested an alternative and novel approach by evaluating the potential phylogenetic signals of identified and relatively short neuropeptide precursor sequences with highly conserved functional units. For that purpose, we examined available transcriptomes of 40 blattodean species for the translated amino acid sequences of 17 neuropeptide precursors. Recently proposed intra-ordinal relationships of Blattodea, based on the analysis of 2370 protein-coding nuclear single-copy genes (Evangelista et al., 2019), were corroborated with maximum support. The functionally different precursor units were analyzed separately for their phylogenetic information. Although the degree of information was different in the different sequence motifs, all precursor units contained phylogenetic informative data at the ordinal level, and their separate analysis did not reveal contradictory topologies. This study is the first comprehensive exploitation of complete neuropeptide precursor sequences of arthropods in such a context and demonstrates the applicability of these rather short but conserved sequences for an alternative, fast and simple analysis of phylogenetic relationships.

Identifiants

pubmed: 31740335
pii: S1055-7903(19)30405-1
doi: 10.1016/j.ympev.2019.106686
pii:
doi:

Substances chimiques

Neuropeptides 0
Protein Precursors 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

106686

Informations de copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Auteurs

Marcel Bläser (M)

University of Cologne, Institute for Zoology, Zuelpicher Straße 47b, 50674 Cologne, Germany. Electronic address: mblaese1@uni-koeln.de.

Bernhard Misof (B)

ZFMK, Centre for Molecular Biodiversity Research (zmb), Adenauerallee 160, 53113 Bonn, Germany.

Reinhard Predel (R)

University of Cologne, Institute for Zoology, Zuelpicher Straße 47b, 50674 Cologne, Germany. Electronic address: rpredel@uni-koeln.de.

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Classifications MeSH