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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ftdryad:oai:v1.datadryad.org:10255/dryad.126234 2023-05-15T13:31:24+02:00 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. Global Eocene to Holocene 2016-11-29T16:14:47Z http://hdl.handle.net/10255/dryad.126234 https://doi.org/10.5061/dryad.6gd57 unknown doi:10.5061/dryad.6gd57/1 doi:10.1111/jbi.12898 doi:10.5061/dryad.6gd57 Dupin J, Matzke NJ, Särkinen T, Knapp S, Olmstead RG, Bohs L, Smith SD (2017) Bayesian estimation of the global biogeographical history of the Solanaceae. Journal of Biogeography 44(4): 887-899. 0305-0270 http://hdl.handle.net/10255/dryad.126234 BioGeoBEARS Biogeographical Stochastic Mapping (BSM) directionality dispersal historical biogeography Article 2016 ftdryad https://doi.org/10.5061/dryad.6gd57 https://doi.org/10.5061/dryad.6gd57/1 https://doi.org/10.1111/jbi.12898 2020-01-01T15:40:20Z 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. Article in Journal/Newspaper Antarc* Antarctica Dryad Digital Repository (Duke University) |
institution |
Open Polar |
collection |
Dryad Digital Repository (Duke University) |
op_collection_id |
ftdryad |
language |
unknown |
topic |
BioGeoBEARS Biogeographical Stochastic Mapping (BSM) directionality dispersal historical biogeography |
spellingShingle |
BioGeoBEARS Biogeographical Stochastic Mapping (BSM) directionality dispersal historical biogeography 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 Biogeographical Stochastic Mapping (BSM) directionality dispersal historical biogeography |
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. |
format |
Article in Journal/Newspaper |
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 |
publishDate |
2016 |
url |
http://hdl.handle.net/10255/dryad.126234 https://doi.org/10.5061/dryad.6gd57 |
op_coverage |
Global Eocene to Holocene |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_relation |
doi:10.5061/dryad.6gd57/1 doi:10.1111/jbi.12898 doi:10.5061/dryad.6gd57 Dupin J, Matzke NJ, Särkinen T, Knapp S, Olmstead RG, Bohs L, Smith SD (2017) Bayesian estimation of the global biogeographical history of the Solanaceae. Journal of Biogeography 44(4): 887-899. 0305-0270 http://hdl.handle.net/10255/dryad.126234 |
op_doi |
https://doi.org/10.5061/dryad.6gd57 https://doi.org/10.5061/dryad.6gd57/1 https://doi.org/10.1111/jbi.12898 |
_version_ |
1766017872047374336 |