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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Main Authors: Dupin, Julia, Matzke, Nicholas J., Särkinen, Tiina, Knapp, Sandra, Olmstead, Richard G., Bohs, Lynn, Smith, Stacey D.
Format: Other/Unknown Material
Language:unknown
Published: Zenodo 2017
Subjects:
Online Access:https://doi.org/10.5061/dryad.6gd57
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spelling 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
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language unknown
topic BioGeoBEARS
Eocene to Holocene
Biogeographical Stochastic Mapping (BSM)
directionality
Solanaceae
spellingShingle 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
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