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Interaction among ploidy, breeding system and lineage diversification

  • Rosana Zenil-Ferguson
  • , J. Gordon Burleigh
  • , William A. Freyman
  • , Boris Igić
  • , Itay Mayrose
  • , Emma E. Goldberg

Producción científica: Articlerevisión exhaustiva

69 Citas (Scopus)

Resumen

If particular traits consistently affect rates of speciation and extinction, broad macroevolutionary patterns can be interpreted as consequences of selection at high levels of the biological hierarchy. Identifying traits associated with diversification rates is difficult because of the wide variety of characters under consideration and the statistical challenges of testing for associations from comparative phylogenetic data. Ploidy (diploid vs polyploid states) and breeding system (self-incompatible vs self-compatible states) are both thought to be drivers of differential diversification in angiosperms. We fit 29 diversification models to extensive trait and phylogenetic data in Solanaceae and investigate how speciation and extinction rate differences are associated with ploidy, breeding system, and the interaction between these traits. We show that diversification patterns in Solanaceae are better explained by breeding system and an additional unobserved factor, rather than by ploidy. We also find that the most common evolutionary pathway to polyploidy in Solanaceae occurs via direct breakdown of self-incompatibility by whole genome duplication, rather than indirectly via breakdown followed by polyploidization. Comparing multiple stochastic diversification models that include complex trait interactions alongside hidden states enhances our understanding of the macroevolutionary patterns in plant phylogenies.

Idioma originalEnglish
Páginas (desde-hasta)1252-1265
Número de páginas14
PublicaciónNew Phytologist
Volumen224
N.º3
DOI
EstadoPublished - nov 1 2019

Nota bibliográfica

Publisher Copyright:
© 2019 The Authors. New Phytologist © 2019 New Phytologist Trust

Financiación

Special thanks to Bob Thomson for donating computational resources that made possible testing the convergence of the models. We also thank Sergei Tarasov for clarifying lumpability concepts, and Carrie Tribble for troubleshooting some ancestral estimate figures. The computing resources were provided by the Minnesota Supercomputing Institute (MSI) at the University of Minnesota. This work was supported by the National Science Foundation grants DEB‐1655478 (to EEG and IM), NSF DEB‐1655692 and NESCent sabbatical scholar award EF‐0905606 (to BI), and the Israel Science Foundation 961/17 (to IM). We thank Dan Schoen and three anonymous reviewers for providing uncommonly thoughtful and helpful reviews, as well as Spencer Barrett for continually inspiring our work. Special thanks to Bob Thomson for donating computational resources that made possible testing the convergence of the models. We also thank Sergei Tarasov for clarifying lumpability concepts, and Carrie Tribble for troubleshooting some ancestral estimate figures. The computing resources were provided by the Minnesota Supercomputing Institute (MSI) at the University of Minnesota. This work was supported by the National Science Foundation grants DEB-1655478 (to EEG and IM), NSF DEB-1655692 and NESCent sabbatical scholar award EF-0905606 (to BI), and the Israel Science Foundation 961/17 (to IM). We thank Dan Schoen and three anonymous reviewers for providing uncommonly thoughtful and helpful reviews, as well as Spencer Barrett for continually inspiring our work.

FinanciadoresNúmero del financiador
University of Minnesota, Minnesota Supercomputing Institute
NSF DEB-1655692
National Science Foundation (NSF)1655692, DEB‐1655478, 1655478, 1940868
National Sleep FoundationDEB‐1655692
Minnesota State University-Mankato
National Evolutionary Synthesis CenterEF‐0905606
US-Israel Binational Science Foundation961/17

    ASJC Scopus subject areas

    • Physiology
    • Plant Science

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