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Towards Resolving the Complete Fern Tree of Life

In the past two decades, molecular systematic studies have revolutionized our understanding of the evolutionary history of ferns. The availability of large molecular data sets together with efficient computer algorithms, now enables us to reconstruct evolutionary histories with previously unseen com...

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Detalles Bibliográficos
Autor principal: Lehtonen, Samuli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192703/
https://www.ncbi.nlm.nih.gov/pubmed/22022365
http://dx.doi.org/10.1371/journal.pone.0024851
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author Lehtonen, Samuli
author_facet Lehtonen, Samuli
author_sort Lehtonen, Samuli
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description In the past two decades, molecular systematic studies have revolutionized our understanding of the evolutionary history of ferns. The availability of large molecular data sets together with efficient computer algorithms, now enables us to reconstruct evolutionary histories with previously unseen completeness. Here, the most comprehensive fern phylogeny to date, representing over one-fifth of the extant global fern diversity, is inferred based on four plastid genes. Parsimony and maximum-likelihood analyses provided a mostly congruent results and in general supported the prevailing view on the higher-level fern systematics. At a deep phylogenetic level, the position of horsetails depended on the optimality criteria chosen, with horsetails positioned as the sister group either of Marattiopsida-Polypodiopsida clade or of the Polypodiopsida. The analyses demonstrate the power of using a ‘supermatrix’ approach to resolve large-scale phylogenies and reveal questionable taxonomies. These results provide a valuable background for future research on fern systematics, ecology, biogeography and other evolutionary studies.
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spelling pubmed-31927032011-10-21 Towards Resolving the Complete Fern Tree of Life Lehtonen, Samuli PLoS One Research Article In the past two decades, molecular systematic studies have revolutionized our understanding of the evolutionary history of ferns. The availability of large molecular data sets together with efficient computer algorithms, now enables us to reconstruct evolutionary histories with previously unseen completeness. Here, the most comprehensive fern phylogeny to date, representing over one-fifth of the extant global fern diversity, is inferred based on four plastid genes. Parsimony and maximum-likelihood analyses provided a mostly congruent results and in general supported the prevailing view on the higher-level fern systematics. At a deep phylogenetic level, the position of horsetails depended on the optimality criteria chosen, with horsetails positioned as the sister group either of Marattiopsida-Polypodiopsida clade or of the Polypodiopsida. The analyses demonstrate the power of using a ‘supermatrix’ approach to resolve large-scale phylogenies and reveal questionable taxonomies. These results provide a valuable background for future research on fern systematics, ecology, biogeography and other evolutionary studies. Public Library of Science 2011-10-13 /pmc/articles/PMC3192703/ /pubmed/22022365 http://dx.doi.org/10.1371/journal.pone.0024851 Text en Samuli Lehtonen. 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
Lehtonen, Samuli
Towards Resolving the Complete Fern Tree of Life
title Towards Resolving the Complete Fern Tree of Life
title_full Towards Resolving the Complete Fern Tree of Life
title_fullStr Towards Resolving the Complete Fern Tree of Life
title_full_unstemmed Towards Resolving the Complete Fern Tree of Life
title_short Towards Resolving the Complete Fern Tree of Life
title_sort towards resolving the complete fern tree of life
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3192703/
https://www.ncbi.nlm.nih.gov/pubmed/22022365
http://dx.doi.org/10.1371/journal.pone.0024851
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