Data from: Bayesian estimation of the global biogeographical history of the Solanaceae
Aim: The tomato family Solanaceae is distributed on all major continents except Antarctica and has its centre of diversity in South America. Its worldwide distribution suggests multiple long-distance dispersals within and between the New and Old Worlds. Here, we apply maximum likelihood (ML) methods...
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ftzenodo:oai:zenodo.org:5012240 2024-09-15T17:43:11+00:00 Data from: Bayesian estimation of the global biogeographical history of the Solanaceae Dupin, Julia Matzke, Nicholas J. Särkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. 2017-09-14 https://doi.org/10.5061/dryad.6gd57 unknown Zenodo https://doi.org/10.1111/jbi.12898 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.6gd57 oai:zenodo.org:5012240 info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode BioGeoBEARS Eocene to Holocene Biogeographical Stochastic Mapping (BSM) directionality Solanaceae info:eu-repo/semantics/other 2017 ftzenodo https://doi.org/10.5061/dryad.6gd5710.1111/jbi.12898 2024-07-27T02:25:33Z Aim: The tomato family Solanaceae is distributed on all major continents except Antarctica and has its centre of diversity in South America. Its worldwide distribution suggests multiple long-distance dispersals within and between the New and Old Worlds. Here, we apply maximum likelihood (ML) methods and newly developed biogeographical stochastic mapping (BSM) to infer the ancestral range of the family and to estimate the frequency of dispersal and vicariance events resulting in its present-day distribution. Location: Worldwide. Methods: Building on a recently inferred megaphylogeny of Solanaceae, we conducted ML model fitting of a range of biogeographical models with the program 'BioGeoBEARS'. We used the parameters from the best fitting model to estimate ancestral range probabilities and conduct stochastic mapping, from which we estimated the number and type of biogeographical events. Results: Our best model supported South America as the ancestral area for the Solanaceae and its major clades. The BSM analyses showed that dispersal events, particularly range expansions, are the principal mode by which members of the family have spread beyond South America. Main conclusions: For Solanaceae, South America is not only the family's current centre of diversity but also its ancestral range, and dispersal was the principal driver of range evolution. The most common dispersal patterns involved range expansions from South America into North and Central America, while dispersal in the reverse direction was less common. This directionality may be due to the early build-up of species richness in South America, resulting in large pool of potential migrants. These results demonstrate the utility of BSM not only for estimating ancestral ranges but also in inferring the frequency, direction and timing of biogeographical events in a statistically rigorous framework. Edited Solanaceae tree We used the time-calibrated maximum clade credibility (MCC) tree from Särkinen et al. (2013), and we pruned (1) taxa that are widely ... Other/Unknown Material Antarc* Antarctica Zenodo |
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BioGeoBEARS Eocene to Holocene Biogeographical Stochastic Mapping (BSM) directionality Solanaceae |
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BioGeoBEARS Eocene to Holocene Biogeographical Stochastic Mapping (BSM) directionality Solanaceae Dupin, Julia Matzke, Nicholas J. Särkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
topic_facet |
BioGeoBEARS Eocene to Holocene Biogeographical Stochastic Mapping (BSM) directionality Solanaceae |
description |
Aim: The tomato family Solanaceae is distributed on all major continents except Antarctica and has its centre of diversity in South America. Its worldwide distribution suggests multiple long-distance dispersals within and between the New and Old Worlds. Here, we apply maximum likelihood (ML) methods and newly developed biogeographical stochastic mapping (BSM) to infer the ancestral range of the family and to estimate the frequency of dispersal and vicariance events resulting in its present-day distribution. Location: Worldwide. Methods: Building on a recently inferred megaphylogeny of Solanaceae, we conducted ML model fitting of a range of biogeographical models with the program 'BioGeoBEARS'. We used the parameters from the best fitting model to estimate ancestral range probabilities and conduct stochastic mapping, from which we estimated the number and type of biogeographical events. Results: Our best model supported South America as the ancestral area for the Solanaceae and its major clades. The BSM analyses showed that dispersal events, particularly range expansions, are the principal mode by which members of the family have spread beyond South America. Main conclusions: For Solanaceae, South America is not only the family's current centre of diversity but also its ancestral range, and dispersal was the principal driver of range evolution. The most common dispersal patterns involved range expansions from South America into North and Central America, while dispersal in the reverse direction was less common. This directionality may be due to the early build-up of species richness in South America, resulting in large pool of potential migrants. These results demonstrate the utility of BSM not only for estimating ancestral ranges but also in inferring the frequency, direction and timing of biogeographical events in a statistically rigorous framework. Edited Solanaceae tree We used the time-calibrated maximum clade credibility (MCC) tree from Särkinen et al. (2013), and we pruned (1) taxa that are widely ... |
format |
Other/Unknown Material |
author |
Dupin, Julia Matzke, Nicholas J. Särkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. |
author_facet |
Dupin, Julia Matzke, Nicholas J. Särkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. |
author_sort |
Dupin, Julia |
title |
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
title_short |
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
title_full |
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
title_fullStr |
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
title_full_unstemmed |
Data from: Bayesian estimation of the global biogeographical history of the Solanaceae |
title_sort |
data from: bayesian estimation of the global biogeographical history of the solanaceae |
publisher |
Zenodo |
publishDate |
2017 |
url |
https://doi.org/10.5061/dryad.6gd57 |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
https://doi.org/10.1111/jbi.12898 https://zenodo.org/communities/dryad https://doi.org/10.5061/dryad.6gd57 oai:zenodo.org:5012240 |
op_rights |
info:eu-repo/semantics/openAccess Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.6gd5710.1111/jbi.12898 |
_version_ |
1810490047193939968 |