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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ftanucanberra:oai:openresearch-repository.anu.edu.au:1885/232685 2024-01-14T10:01:25+01:00 Bayesian estimation of the global biogeographical history of the Solanaceae Dupin, Julia Matzke, Nicholas Sarkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. application/pdf http://hdl.handle.net/1885/232685 https://doi.org/10.1111/jbi.12898 https://openresearch-repository.anu.edu.au/bitstream/1885/232685/3/01_Dupin_Bayesian_estimation_of_the_2017.pdf.jpg en_AU eng Blackwell Publishing Ltd http://purl.org/au-research/grants/arc/DE150101773 0305-0270 http://hdl.handle.net/1885/232685 doi:10.1111/jbi.12898 https://openresearch-repository.anu.edu.au/bitstream/1885/232685/3/01_Dupin_Bayesian_estimation_of_the_2017.pdf.jpg © 2016 John Wiley & Sons Ltd Journal of Biogeography https://onlinelibrary.wiley.com/doi/full/10.1111/jbi.12898 BioGeoBEARS biogeographical stochastic mapping directionality dispersal historical biogeography Solanaceae Journal article ftanucanberra https://doi.org/10.1111/jbi.12898 2023-12-15T09:37:05Z 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. This work was supported by the National Science Foundation grants to S.D.S. (NSF DEB-1413855), S.K. and L.B. (NSF DEB-0316614), and R.G.O. (NSF DEB-1020369). The ... Article in Journal/Newspaper Antarc* Antarctica Australian National University: ANU Digital Collections Journal of Biogeography 44 4 887 899 |
institution |
Open Polar |
collection |
Australian National University: ANU Digital Collections |
op_collection_id |
ftanucanberra |
language |
English |
topic |
BioGeoBEARS biogeographical stochastic mapping directionality dispersal historical biogeography Solanaceae |
spellingShingle |
BioGeoBEARS biogeographical stochastic mapping directionality dispersal historical biogeography Solanaceae Dupin, Julia Matzke, Nicholas Sarkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. Bayesian estimation of the global biogeographical history of the Solanaceae |
topic_facet |
BioGeoBEARS biogeographical stochastic mapping directionality dispersal historical biogeography 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. This work was supported by the National Science Foundation grants to S.D.S. (NSF DEB-1413855), S.K. and L.B. (NSF DEB-0316614), and R.G.O. (NSF DEB-1020369). The ... |
format |
Article in Journal/Newspaper |
author |
Dupin, Julia Matzke, Nicholas Sarkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. |
author_facet |
Dupin, Julia Matzke, Nicholas Sarkinen, Tiina Knapp, Sandra Olmstead, Richard G. Bohs, Lynn Smith, Stacey D. |
author_sort |
Dupin, Julia |
title |
Bayesian estimation of the global biogeographical history of the Solanaceae |
title_short |
Bayesian estimation of the global biogeographical history of the Solanaceae |
title_full |
Bayesian estimation of the global biogeographical history of the Solanaceae |
title_fullStr |
Bayesian estimation of the global biogeographical history of the Solanaceae |
title_full_unstemmed |
Bayesian estimation of the global biogeographical history of the Solanaceae |
title_sort |
bayesian estimation of the global biogeographical history of the solanaceae |
publisher |
Blackwell Publishing Ltd |
url |
http://hdl.handle.net/1885/232685 https://doi.org/10.1111/jbi.12898 https://openresearch-repository.anu.edu.au/bitstream/1885/232685/3/01_Dupin_Bayesian_estimation_of_the_2017.pdf.jpg |
genre |
Antarc* Antarctica |
genre_facet |
Antarc* Antarctica |
op_source |
Journal of Biogeography https://onlinelibrary.wiley.com/doi/full/10.1111/jbi.12898 |
op_relation |
http://purl.org/au-research/grants/arc/DE150101773 0305-0270 http://hdl.handle.net/1885/232685 doi:10.1111/jbi.12898 https://openresearch-repository.anu.edu.au/bitstream/1885/232685/3/01_Dupin_Bayesian_estimation_of_the_2017.pdf.jpg |
op_rights |
© 2016 John Wiley & Sons Ltd |
op_doi |
https://doi.org/10.1111/jbi.12898 |
container_title |
Journal of Biogeography |
container_volume |
44 |
container_issue |
4 |
container_start_page |
887 |
op_container_end_page |
899 |
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1788067194188333056 |