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Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data
The evolution of the diverse insect lineages is one of the most fascinating issues in evolutionary biology. Despite extensive research in this area, the resolution of insect phylogeny especially of interordinal relationships has turned out to be still a great challenge. One of the challenges for ins...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542558/ https://www.ncbi.nlm.nih.gov/pubmed/23175716 http://dx.doi.org/10.1093/gbe/evs104 |
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author | Simon, Sabrina Narechania, Apurva DeSalle, Rob Hadrys, Heike |
author_facet | Simon, Sabrina Narechania, Apurva DeSalle, Rob Hadrys, Heike |
author_sort | Simon, Sabrina |
collection | PubMed |
description | The evolution of the diverse insect lineages is one of the most fascinating issues in evolutionary biology. Despite extensive research in this area, the resolution of insect phylogeny especially of interordinal relationships has turned out to be still a great challenge. One of the challenges for insect systematics is the radiation of the polyneopteran lineages with several contradictory and/or unresolved relationships. Here, we provide the first transcriptomic data for three enigmatic polyneopteran orders (Dermaptera, Plecoptera, and Zoraptera) to clarify one of the most debated issues among higher insect systematics. We applied different approaches to generate 3 data sets comprising 78 species and 1,579 clusters of orthologous genes. Using these three matrices, we explored several key mechanistic problems of phylogenetic reconstruction including missing data, matrix selection, gene and taxa number/choice, and the biological function of the genes. Based on the first phylogenomic approach including these three ambiguous polyneopteran orders, we provide here conclusive support for monophyletic Polyneoptera, contesting the hypothesis of Zoraptera + Paraneoptera and Plecoptera + remaining Neoptera. In addition, we employ various approaches to evaluate data quality and highlight problematic nodes within the Insect Tree that still exist despite our phylogenomic approach. We further show how the support for these nodes or alternative hypotheses might depend on the taxon- and/or gene-sampling. |
format | Online Article Text |
id | pubmed-3542558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-35425582013-01-11 Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data Simon, Sabrina Narechania, Apurva DeSalle, Rob Hadrys, Heike Genome Biol Evol Research Article The evolution of the diverse insect lineages is one of the most fascinating issues in evolutionary biology. Despite extensive research in this area, the resolution of insect phylogeny especially of interordinal relationships has turned out to be still a great challenge. One of the challenges for insect systematics is the radiation of the polyneopteran lineages with several contradictory and/or unresolved relationships. Here, we provide the first transcriptomic data for three enigmatic polyneopteran orders (Dermaptera, Plecoptera, and Zoraptera) to clarify one of the most debated issues among higher insect systematics. We applied different approaches to generate 3 data sets comprising 78 species and 1,579 clusters of orthologous genes. Using these three matrices, we explored several key mechanistic problems of phylogenetic reconstruction including missing data, matrix selection, gene and taxa number/choice, and the biological function of the genes. Based on the first phylogenomic approach including these three ambiguous polyneopteran orders, we provide here conclusive support for monophyletic Polyneoptera, contesting the hypothesis of Zoraptera + Paraneoptera and Plecoptera + remaining Neoptera. In addition, we employ various approaches to evaluate data quality and highlight problematic nodes within the Insect Tree that still exist despite our phylogenomic approach. We further show how the support for these nodes or alternative hypotheses might depend on the taxon- and/or gene-sampling. Oxford University Press 2012 2012-11-22 /pmc/articles/PMC3542558/ /pubmed/23175716 http://dx.doi.org/10.1093/gbe/evs104 Text en © The Author(s) 2012. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0/), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Simon, Sabrina Narechania, Apurva DeSalle, Rob Hadrys, Heike Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title | Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title_full | Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title_fullStr | Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title_full_unstemmed | Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title_short | Insect Phylogenomics: Exploring the Source of Incongruence Using New Transcriptomic Data |
title_sort | insect phylogenomics: exploring the source of incongruence using new transcriptomic data |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3542558/ https://www.ncbi.nlm.nih.gov/pubmed/23175716 http://dx.doi.org/10.1093/gbe/evs104 |
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