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Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies
Tens of thousands of phylogenetic trees, describing the evolutionary relationships between hundreds of thousands of taxa, are readily obtainable from various databases. From such trees, inferences can be made about the underlying macroevolutionary processes, yet remarkably these processes are still...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395845/ https://www.ncbi.nlm.nih.gov/pubmed/25575504 http://dx.doi.org/10.1093/sysbio/syv001 |
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author | Hagen, Oskar Hartmann, Klaas Steel, Mike Stadler, Tanja |
author_facet | Hagen, Oskar Hartmann, Klaas Steel, Mike Stadler, Tanja |
author_sort | Hagen, Oskar |
collection | PubMed |
description | Tens of thousands of phylogenetic trees, describing the evolutionary relationships between hundreds of thousands of taxa, are readily obtainable from various databases. From such trees, inferences can be made about the underlying macroevolutionary processes, yet remarkably these processes are still poorly understood. Simple and widely used evolutionary null models are problematic: Empirical trees show very different imbalance between the sizes of the daughter clades of ancestral taxa compared to what models predict. Obtaining a simple evolutionary model that is both biologically plausible and produces the imbalance seen in empirical trees is a challenging problem, to which none of the existing models provide a satisfying answer. Here we propose a simple, biologically plausible macroevolutionary model in which the rate of speciation decreases with species age, whereas extinction rates can vary quite generally. We show that this model provides a remarkable fit to the thousands of trees stored in the online database TreeBase. The biological motivation for the identified age-dependent speciation process may be that recently evolved taxa often colonize new regions or niches and may initially experience little competition. These new taxa are thus more likely to give rise to further new taxa than a taxon that has remained largely unchanged and is, therefore, well adapted to its niche. We show that age-dependent speciation may also be the result of different within-species populations following the same laws of lineage splitting to produce new species. As the fit of our model to the tree database shows, this simple biological motivation provides an explanation for a long standing problem in macroevolution. |
format | Online Article Text |
id | pubmed-4395845 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-43958452015-04-15 Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies Hagen, Oskar Hartmann, Klaas Steel, Mike Stadler, Tanja Syst Biol Regular Articles Tens of thousands of phylogenetic trees, describing the evolutionary relationships between hundreds of thousands of taxa, are readily obtainable from various databases. From such trees, inferences can be made about the underlying macroevolutionary processes, yet remarkably these processes are still poorly understood. Simple and widely used evolutionary null models are problematic: Empirical trees show very different imbalance between the sizes of the daughter clades of ancestral taxa compared to what models predict. Obtaining a simple evolutionary model that is both biologically plausible and produces the imbalance seen in empirical trees is a challenging problem, to which none of the existing models provide a satisfying answer. Here we propose a simple, biologically plausible macroevolutionary model in which the rate of speciation decreases with species age, whereas extinction rates can vary quite generally. We show that this model provides a remarkable fit to the thousands of trees stored in the online database TreeBase. The biological motivation for the identified age-dependent speciation process may be that recently evolved taxa often colonize new regions or niches and may initially experience little competition. These new taxa are thus more likely to give rise to further new taxa than a taxon that has remained largely unchanged and is, therefore, well adapted to its niche. We show that age-dependent speciation may also be the result of different within-species populations following the same laws of lineage splitting to produce new species. As the fit of our model to the tree database shows, this simple biological motivation provides an explanation for a long standing problem in macroevolution. Oxford University Press 2015-05 2015-02-08 /pmc/articles/PMC4395845/ /pubmed/25575504 http://dx.doi.org/10.1093/sysbio/syv001 Text en © The Author(s) 2015. Published by Oxford University Press, on behalf of the Society of Systematic Biologists. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Regular Articles Hagen, Oskar Hartmann, Klaas Steel, Mike Stadler, Tanja Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title | Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title_full | Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title_fullStr | Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title_full_unstemmed | Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title_short | Age-Dependent Speciation Can Explain the Shape of Empirical Phylogenies |
title_sort | age-dependent speciation can explain the shape of empirical phylogenies |
topic | Regular Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4395845/ https://www.ncbi.nlm.nih.gov/pubmed/25575504 http://dx.doi.org/10.1093/sysbio/syv001 |
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