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Diversity Dynamics in Nymphalidae Butterflies: Effect of Phylogenetic Uncertainty on Diversification Rate Shift Estimates, 2014

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CESSDA2022-05-18 更新2024-12-21 收录
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https://datacatalogue.cessda.eu/detail?lang=en&q=66c0935943df2d305dcb1f30792e8a2f6018005cb8cc30b1ce905f30b766f8c8
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This data set is a part of the project "From host plants to host ants: Evolution of phyto-predation in butterflies, 2014". The species rich butterfly family Nymphalidae has been used to study evolutionary interactions between plants and insects. Theories of insect-hostplant dynamics predict accelerated diversification due to key innovations. In evolutionary biology, analysis of maximum credibility trees in the software MEDUSA (modelling evolutionary diversity using stepwise AIC) is a popular method for estimation of shifts in diversification rates. In this project phylogenetic uncertainty was investigated, and if different results can be produced by extending the method across a random sample of trees from the posterior distribution of a Bayesian run. Using the MultiMEDUSA approach, the results indicate that phylogenetic uncertainty greatly affects diversification rate estimates. Different trees produced diversification rates ranging from high values to almost zero for the same clade, and both significant rate increase and decrease in some clades. Only four out of 18 significant shifts found on the maximum clade credibility tree were consistent across most of the sampled trees. Among these, accelerated diversification was found for Ithomiini butterflies. Binary speciation and extinction model (BiSSE) were used and showed that a hostplant shift to Solanaceae is correlated with increased net diversification rates in Ithomiini, congruent with the diffuse cospeciation hypothesis. The results show that taking phylogenetic uncertainty into account when estimating net diversification rate shifts is of great importance, as very different results can be obtained when using the maximum clade credibility tree and other trees from the posterior distribution. Data are freely available for downloading (follow the link under related materials).
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Sikt - Norwegian Agency for Shared Services in Education and Research
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