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An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)

BACKGROUND: The latest advancements in DNA sequencing technologies have facilitated the resolution of the phylogeny of insects, yet parts of the tree of Holometabola remain unresolved. The phylogeny of Neuropterida has been extensively studied, but no strong consensus exists concerning the phylogene...

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Autores principales: Vasilikopoulos, Alexandros, Misof, Bernhard, Meusemann, Karen, Lieberz, Doria, Flouri, Tomáš, Beutel, Rolf G., Niehuis, Oliver, Wappler, Torsten, Rust, Jes, Peters, Ralph S., Donath, Alexander, Podsiadlowski, Lars, Mayer, Christoph, Bartel, Daniela, Böhm, Alexander, Liu, Shanlin, Kapli, Paschalia, Greve, Carola, Jepson, James E., Liu, Xingyue, Zhou, Xin, Aspöck, Horst, Aspöck, Ulrike
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268685/
https://www.ncbi.nlm.nih.gov/pubmed/32493355
http://dx.doi.org/10.1186/s12862-020-01631-6
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author Vasilikopoulos, Alexandros
Misof, Bernhard
Meusemann, Karen
Lieberz, Doria
Flouri, Tomáš
Beutel, Rolf G.
Niehuis, Oliver
Wappler, Torsten
Rust, Jes
Peters, Ralph S.
Donath, Alexander
Podsiadlowski, Lars
Mayer, Christoph
Bartel, Daniela
Böhm, Alexander
Liu, Shanlin
Kapli, Paschalia
Greve, Carola
Jepson, James E.
Liu, Xingyue
Zhou, Xin
Aspöck, Horst
Aspöck, Ulrike
author_facet Vasilikopoulos, Alexandros
Misof, Bernhard
Meusemann, Karen
Lieberz, Doria
Flouri, Tomáš
Beutel, Rolf G.
Niehuis, Oliver
Wappler, Torsten
Rust, Jes
Peters, Ralph S.
Donath, Alexander
Podsiadlowski, Lars
Mayer, Christoph
Bartel, Daniela
Böhm, Alexander
Liu, Shanlin
Kapli, Paschalia
Greve, Carola
Jepson, James E.
Liu, Xingyue
Zhou, Xin
Aspöck, Horst
Aspöck, Ulrike
author_sort Vasilikopoulos, Alexandros
collection PubMed
description BACKGROUND: The latest advancements in DNA sequencing technologies have facilitated the resolution of the phylogeny of insects, yet parts of the tree of Holometabola remain unresolved. The phylogeny of Neuropterida has been extensively studied, but no strong consensus exists concerning the phylogenetic relationships within the order Neuroptera. Here, we assembled a novel transcriptomic dataset to address previously unresolved issues in the phylogeny of Neuropterida and to infer divergence times within the group. We tested the robustness of our phylogenetic estimates by comparing summary coalescent and concatenation-based phylogenetic approaches and by employing different quartet-based measures of phylogenomic incongruence, combined with data permutations. RESULTS: Our results suggest that the order Raphidioptera is sister to Neuroptera + Megaloptera. Coniopterygidae is inferred as sister to all remaining neuropteran families suggesting that larval cryptonephry could be a ground plan feature of Neuroptera. A clade that includes Nevrorthidae, Osmylidae, and Sisyridae (i.e. Osmyloidea) is inferred as sister to all other Neuroptera except Coniopterygidae, and Dilaridae is placed as sister to all remaining neuropteran families. Ithonidae is inferred as the sister group of monophyletic Myrmeleontiformia. The phylogenetic affinities of Chrysopidae and Hemerobiidae were dependent on the data type analyzed, and quartet-based analyses showed only weak support for the placement of Hemerobiidae as sister to Ithonidae + Myrmeleontiformia. Our molecular dating analyses suggest that most families of Neuropterida started to diversify in the Jurassic and our ancestral character state reconstructions suggest a primarily terrestrial environment of the larvae of Neuropterida and Neuroptera. CONCLUSION: Our extensive phylogenomic analyses consolidate several key aspects in the backbone phylogeny of Neuropterida, such as the basal placement of Coniopterygidae within Neuroptera and the monophyly of Osmyloidea. Furthermore, they provide new insights into the timing of diversification of Neuropterida. Despite the vast amount of analyzed molecular data, we found that certain nodes in the tree of Neuroptera are not robustly resolved. Therefore, we emphasize the importance of integrating the results of morphological analyses with those of sequence-based phylogenomics. We also suggest that comparative analyses of genomic meta-characters should be incorporated into future phylogenomic studies of Neuropterida.
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spelling pubmed-72686852020-06-08 An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola) Vasilikopoulos, Alexandros Misof, Bernhard Meusemann, Karen Lieberz, Doria Flouri, Tomáš Beutel, Rolf G. Niehuis, Oliver Wappler, Torsten Rust, Jes Peters, Ralph S. Donath, Alexander Podsiadlowski, Lars Mayer, Christoph Bartel, Daniela Böhm, Alexander Liu, Shanlin Kapli, Paschalia Greve, Carola Jepson, James E. Liu, Xingyue Zhou, Xin Aspöck, Horst Aspöck, Ulrike BMC Evol Biol Research Article BACKGROUND: The latest advancements in DNA sequencing technologies have facilitated the resolution of the phylogeny of insects, yet parts of the tree of Holometabola remain unresolved. The phylogeny of Neuropterida has been extensively studied, but no strong consensus exists concerning the phylogenetic relationships within the order Neuroptera. Here, we assembled a novel transcriptomic dataset to address previously unresolved issues in the phylogeny of Neuropterida and to infer divergence times within the group. We tested the robustness of our phylogenetic estimates by comparing summary coalescent and concatenation-based phylogenetic approaches and by employing different quartet-based measures of phylogenomic incongruence, combined with data permutations. RESULTS: Our results suggest that the order Raphidioptera is sister to Neuroptera + Megaloptera. Coniopterygidae is inferred as sister to all remaining neuropteran families suggesting that larval cryptonephry could be a ground plan feature of Neuroptera. A clade that includes Nevrorthidae, Osmylidae, and Sisyridae (i.e. Osmyloidea) is inferred as sister to all other Neuroptera except Coniopterygidae, and Dilaridae is placed as sister to all remaining neuropteran families. Ithonidae is inferred as the sister group of monophyletic Myrmeleontiformia. The phylogenetic affinities of Chrysopidae and Hemerobiidae were dependent on the data type analyzed, and quartet-based analyses showed only weak support for the placement of Hemerobiidae as sister to Ithonidae + Myrmeleontiformia. Our molecular dating analyses suggest that most families of Neuropterida started to diversify in the Jurassic and our ancestral character state reconstructions suggest a primarily terrestrial environment of the larvae of Neuropterida and Neuroptera. CONCLUSION: Our extensive phylogenomic analyses consolidate several key aspects in the backbone phylogeny of Neuropterida, such as the basal placement of Coniopterygidae within Neuroptera and the monophyly of Osmyloidea. Furthermore, they provide new insights into the timing of diversification of Neuropterida. Despite the vast amount of analyzed molecular data, we found that certain nodes in the tree of Neuroptera are not robustly resolved. Therefore, we emphasize the importance of integrating the results of morphological analyses with those of sequence-based phylogenomics. We also suggest that comparative analyses of genomic meta-characters should be incorporated into future phylogenomic studies of Neuropterida. BioMed Central 2020-06-03 /pmc/articles/PMC7268685/ /pubmed/32493355 http://dx.doi.org/10.1186/s12862-020-01631-6 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Vasilikopoulos, Alexandros
Misof, Bernhard
Meusemann, Karen
Lieberz, Doria
Flouri, Tomáš
Beutel, Rolf G.
Niehuis, Oliver
Wappler, Torsten
Rust, Jes
Peters, Ralph S.
Donath, Alexander
Podsiadlowski, Lars
Mayer, Christoph
Bartel, Daniela
Böhm, Alexander
Liu, Shanlin
Kapli, Paschalia
Greve, Carola
Jepson, James E.
Liu, Xingyue
Zhou, Xin
Aspöck, Horst
Aspöck, Ulrike
An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title_full An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title_fullStr An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title_full_unstemmed An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title_short An integrative phylogenomic approach to elucidate the evolutionary history and divergence times of Neuropterida (Insecta: Holometabola)
title_sort integrative phylogenomic approach to elucidate the evolutionary history and divergence times of neuropterida (insecta: holometabola)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7268685/
https://www.ncbi.nlm.nih.gov/pubmed/32493355
http://dx.doi.org/10.1186/s12862-020-01631-6
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