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X-ray computed microtomography of Megachirella wachtleri
Understanding the origin and early evolution of squamates has been a considerable challenge given the extremely scarce fossil record of early squamates and their poor degree of preservation. In order to overcome those limitations, we conducted high-resolution X-ray computed tomography (CT) studies o...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219415/ https://www.ncbi.nlm.nih.gov/pubmed/30398474 http://dx.doi.org/10.1038/sdata.2018.244 |
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author | Simões, Tiago R. Caldwell, Michael W. Tałanda, Mateusz Bernardi, Massimo Palci, Alessandro Vernygora, Oksana Bernardini, Federico Mancini, Lucia Nydam, Randall L. |
author_facet | Simões, Tiago R. Caldwell, Michael W. Tałanda, Mateusz Bernardi, Massimo Palci, Alessandro Vernygora, Oksana Bernardini, Federico Mancini, Lucia Nydam, Randall L. |
author_sort | Simões, Tiago R. |
collection | PubMed |
description | Understanding the origin and early evolution of squamates has been a considerable challenge given the extremely scarce fossil record of early squamates and their poor degree of preservation. In order to overcome those limitations, we conducted high-resolution X-ray computed tomography (CT) studies on the fossil reptile Megachirella wachtleri (Middle Triassic, northern Italy), which revealed an important set of features indicating this is the oldest known fossil squamate in the world, predating the previous oldest record by ca. 75 million years. We also compiled a new phylogenetic data set comprising a large sample of diapsid reptiles (including morphological and molecular data) to investigate the phylogenetic relationships of early squamates and other reptile groups along with the divergence time of those lineages. The re-description of Megachirella and a new phylogenetic hypothesis of diapsid relationships are presented in a separate study. Here we present the data descriptors for the tomographic scans of Megachirella, which holds fundamental information to our understanding on the early evolution of one of the largest vertebrate groups on Earth today. |
format | Online Article Text |
id | pubmed-6219415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-62194152018-11-07 X-ray computed microtomography of Megachirella wachtleri Simões, Tiago R. Caldwell, Michael W. Tałanda, Mateusz Bernardi, Massimo Palci, Alessandro Vernygora, Oksana Bernardini, Federico Mancini, Lucia Nydam, Randall L. Sci Data Data Descriptor Understanding the origin and early evolution of squamates has been a considerable challenge given the extremely scarce fossil record of early squamates and their poor degree of preservation. In order to overcome those limitations, we conducted high-resolution X-ray computed tomography (CT) studies on the fossil reptile Megachirella wachtleri (Middle Triassic, northern Italy), which revealed an important set of features indicating this is the oldest known fossil squamate in the world, predating the previous oldest record by ca. 75 million years. We also compiled a new phylogenetic data set comprising a large sample of diapsid reptiles (including morphological and molecular data) to investigate the phylogenetic relationships of early squamates and other reptile groups along with the divergence time of those lineages. The re-description of Megachirella and a new phylogenetic hypothesis of diapsid relationships are presented in a separate study. Here we present the data descriptors for the tomographic scans of Megachirella, which holds fundamental information to our understanding on the early evolution of one of the largest vertebrate groups on Earth today. Nature Publishing Group 2018-11-06 /pmc/articles/PMC6219415/ /pubmed/30398474 http://dx.doi.org/10.1038/sdata.2018.244 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files made available in this article. |
spellingShingle | Data Descriptor Simões, Tiago R. Caldwell, Michael W. Tałanda, Mateusz Bernardi, Massimo Palci, Alessandro Vernygora, Oksana Bernardini, Federico Mancini, Lucia Nydam, Randall L. X-ray computed microtomography of Megachirella wachtleri |
title | X-ray computed microtomography of Megachirella wachtleri |
title_full | X-ray computed microtomography of Megachirella wachtleri |
title_fullStr | X-ray computed microtomography of Megachirella wachtleri |
title_full_unstemmed | X-ray computed microtomography of Megachirella wachtleri |
title_short | X-ray computed microtomography of Megachirella wachtleri |
title_sort | x-ray computed microtomography of megachirella wachtleri |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6219415/ https://www.ncbi.nlm.nih.gov/pubmed/30398474 http://dx.doi.org/10.1038/sdata.2018.244 |
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