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Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)

The phylogenetic status and the monophyly of the holometabolous insect order Megaloptera has been an often disputed and long unresolved problem. The present study attempts to infer phylogenetic relationships among three orders, Megaloptera, Neuroptera, and Raphidioptera, within the superorder Neurop...

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Detalles Bibliográficos
Autores principales: Zhao, Chenjing, Liu, Xingyue, Yang, Ding
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263614/
https://www.ncbi.nlm.nih.gov/pubmed/25502404
http://dx.doi.org/10.1371/journal.pone.0114695
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author Zhao, Chenjing
Liu, Xingyue
Yang, Ding
author_facet Zhao, Chenjing
Liu, Xingyue
Yang, Ding
author_sort Zhao, Chenjing
collection PubMed
description The phylogenetic status and the monophyly of the holometabolous insect order Megaloptera has been an often disputed and long unresolved problem. The present study attempts to infer phylogenetic relationships among three orders, Megaloptera, Neuroptera, and Raphidioptera, within the superorder Neuropterida, based on wing base structure. Cladistic analyses were carried out based on morphological data from both the fore- and hindwing base. A sister relationship between Megaloptera and Neuroptera was recovered, and the monophyly of Megaloptera was corroborated. The division of the order Megaloptera, the traditional higher classification, into Corydalidae (Corydalinae + Chauliodinae) and Sialidae, was also supported by our wing base data analyses.
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spelling pubmed-42636142014-12-19 Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida) Zhao, Chenjing Liu, Xingyue Yang, Ding PLoS One Research Article The phylogenetic status and the monophyly of the holometabolous insect order Megaloptera has been an often disputed and long unresolved problem. The present study attempts to infer phylogenetic relationships among three orders, Megaloptera, Neuroptera, and Raphidioptera, within the superorder Neuropterida, based on wing base structure. Cladistic analyses were carried out based on morphological data from both the fore- and hindwing base. A sister relationship between Megaloptera and Neuroptera was recovered, and the monophyly of Megaloptera was corroborated. The division of the order Megaloptera, the traditional higher classification, into Corydalidae (Corydalinae + Chauliodinae) and Sialidae, was also supported by our wing base data analyses. Public Library of Science 2014-12-11 /pmc/articles/PMC4263614/ /pubmed/25502404 http://dx.doi.org/10.1371/journal.pone.0114695 Text en © 2014 Zhao et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Zhao, Chenjing
Liu, Xingyue
Yang, Ding
Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title_full Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title_fullStr Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title_full_unstemmed Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title_short Wing Base Structural Data Support the Sister Relationship of Megaloptera and Neuroptera (Insecta: Neuropterida)
title_sort wing base structural data support the sister relationship of megaloptera and neuroptera (insecta: neuropterida)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4263614/
https://www.ncbi.nlm.nih.gov/pubmed/25502404
http://dx.doi.org/10.1371/journal.pone.0114695
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