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Linking morphological and molecular sources to disentangle the case of Xylodon australis
The use of different sources of evidence has been recommended in order to conduct species delimitation analyses to solve taxonomic issues. In this study, we use a maximum likelihood framework to combine morphological and molecular traits to study the case of Xylodon australis (Hymenochaetales, Basid...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738490/ https://www.ncbi.nlm.nih.gov/pubmed/33319784 http://dx.doi.org/10.1038/s41598-020-78399-8 |
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author | Fernández-López, Javier Telleria, M. Teresa Dueñas, Margarita Laguna-Castro, Mara Schliep, Klaus Martín, María P. |
author_facet | Fernández-López, Javier Telleria, M. Teresa Dueñas, Margarita Laguna-Castro, Mara Schliep, Klaus Martín, María P. |
author_sort | Fernández-López, Javier |
collection | PubMed |
description | The use of different sources of evidence has been recommended in order to conduct species delimitation analyses to solve taxonomic issues. In this study, we use a maximum likelihood framework to combine morphological and molecular traits to study the case of Xylodon australis (Hymenochaetales, Basidiomycota) using the locate.yeti function from the phytools R package. Xylodon australis has been considered a single species distributed across Australia, New Zealand and Patagonia. Multi-locus phylogenetic analyses were conducted to unmask the actual diversity under X. australis as well as the kinship relations respect their relatives. To assess the taxonomic position of each clade, locate.yeti function was used to locate in a molecular phylogeny the X. australis type material for which no molecular data was available using morphological continuous traits. Two different species were distinguished under the X. australis name, one from Australia–New Zealand and other from Patagonia. In addition, a close relationship with Xylodon lenis, a species from the South East of Asia, was confirmed for the Patagonian clade. We discuss the implications of our results for the biogeographical history of this genus and we evaluate the potential of this method to be used with historical collections for which molecular data is not available. |
format | Online Article Text |
id | pubmed-7738490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77384902020-12-17 Linking morphological and molecular sources to disentangle the case of Xylodon australis Fernández-López, Javier Telleria, M. Teresa Dueñas, Margarita Laguna-Castro, Mara Schliep, Klaus Martín, María P. Sci Rep Article The use of different sources of evidence has been recommended in order to conduct species delimitation analyses to solve taxonomic issues. In this study, we use a maximum likelihood framework to combine morphological and molecular traits to study the case of Xylodon australis (Hymenochaetales, Basidiomycota) using the locate.yeti function from the phytools R package. Xylodon australis has been considered a single species distributed across Australia, New Zealand and Patagonia. Multi-locus phylogenetic analyses were conducted to unmask the actual diversity under X. australis as well as the kinship relations respect their relatives. To assess the taxonomic position of each clade, locate.yeti function was used to locate in a molecular phylogeny the X. australis type material for which no molecular data was available using morphological continuous traits. Two different species were distinguished under the X. australis name, one from Australia–New Zealand and other from Patagonia. In addition, a close relationship with Xylodon lenis, a species from the South East of Asia, was confirmed for the Patagonian clade. We discuss the implications of our results for the biogeographical history of this genus and we evaluate the potential of this method to be used with historical collections for which molecular data is not available. Nature Publishing Group UK 2020-12-15 /pmc/articles/PMC7738490/ /pubmed/33319784 http://dx.doi.org/10.1038/s41598-020-78399-8 Text en © The Author(s) 2020 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 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/. |
spellingShingle | Article Fernández-López, Javier Telleria, M. Teresa Dueñas, Margarita Laguna-Castro, Mara Schliep, Klaus Martín, María P. Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title | Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title_full | Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title_fullStr | Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title_full_unstemmed | Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title_short | Linking morphological and molecular sources to disentangle the case of Xylodon australis |
title_sort | linking morphological and molecular sources to disentangle the case of xylodon australis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7738490/ https://www.ncbi.nlm.nih.gov/pubmed/33319784 http://dx.doi.org/10.1038/s41598-020-78399-8 |
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