Diversification of flowering plants in space and time
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The rapid diversification and high species richness of flowering plants is regarded as ‘Darwin’s second abominable mystery’. Today the global spatiotemporal pattern of plant diversification remains elusive. Using a newly generated genus-level phylogeny and global distribution data for 14,244 flowering plant genera, we describe the diversification dynamics of angiosperms through space and time. Our analyses show that diversification rates increased throughout the early Cretaceous and then slightly decreased or remained mostly stable until the end of the Cretaceous–Paleogene mass extinction event 66 million years ago. After that, diversification rates increased again towards the present. Younger genera with high diversification rates dominate temperate and dryland regions, whereas old genera with low diversification dominate the tropics. This leads to a negative correlation between spatial patterns of diversification and genus diversity. Our findings suggest that global changes since the Cenozoic shaped the patterns of flowering plant diversity and support an emerging consensus that diversification rates are higher outside the tropics.
| Originalsprog | Engelsk |
|---|---|
| Artikelnummer | 7609 |
| Tidsskrift | Nature Communications |
| Vol/bind | 14 |
| Antal sider | 16 |
| ISSN | 2041-1723 |
| DOI | |
| Status | Udgivet - 2023 |
Bibliografisk note
Funding Information:
We thank K. Katoh for his advice on MAFFT alignment strategies, G. Thomas for his advice on polytomy resolution, and D. Rabosky for advice on BAMM. This work was supported by the National key Research Development Program of China (#2022YFF0802300 to Z.W., #2017YFC0505203 to X.X. and J.L.), National Natural Science Foundation of China (#32125026 and #31988102 to Z.W., #31770566 to X.X., #32030006 to J.L.), Natural Science Foundation of Sichuan Province (2023NSFSC1280 to X.X.), Chinese Academy of Sciences-Peking University Pioneer Collaboration Team, and funds from the Danish National Research Foundation to the Center for Macroecology, Evolution and Climate (DNRF96). All computation was conducted in the High-performance Computing Platform of Peking University and the Abel cluster of the Norwegian Metacenter for Computational Science (NOTUR; project NN9601K to D.D.). J.D.K. was supported by an Individual Fellowship from Marie Sklodowska-Curie actions (MSCA-792534) and a Reintegration Fellowship from the Carlsberg Foundation (CF19-0334).
Funding Information:
We thank K. Katoh for his advice on MAFFT alignment strategies, G. Thomas for his advice on polytomy resolution, and D. Rabosky for advice on BAMM. This work was supported by the National key Research Development Program of China (#2022YFF0802300 to Z.W., #2017YFC0505203 to X.X. and J.L.), National Natural Science Foundation of China (#32125026 and #31988102 to Z.W., #31770566 to X.X., #32030006 to J.L.), Natural Science Foundation of Sichuan Province (2023NSFSC1280 to X.X.), Chinese Academy of Sciences-Peking University Pioneer Collaboration Team, and funds from the Danish National Research Foundation to the Center for Macroecology, Evolution and Climate (DNRF96). All computation was conducted in the High-performance Computing Platform of Peking University and the Abel cluster of the Norwegian Metacenter for Computational Science (NOTUR; project NN9601K to D.D.). J.D.K. was supported by an Individual Fellowship from Marie Sklodowska-Curie actions (MSCA-792534) and a Reintegration Fellowship from the Carlsberg Foundation (CF19-0334).
Publisher Copyright:
© 2023, The Author(s).
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