Data from: Testing the role of the Red Queen and Court Jester as drivers of the macroevolution of Apollo butterflies
Data files
Feb 15, 2018 version files 5.13 MB
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Appendix 1 - GenBank sequences.zip
233.29 KB
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Appendix 10 - Time-calibrated trees of Parnassiinae.zip
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Appendix 11 - Bayes factors Dating.xlsx
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Appendix 12 - Parnassiinae DEC.zip
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Appendix 13 - DDD Parnassiinae.docx
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Appendix 14 - SSE models.zip
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Appendix 15 - MuSSE MCMC difference on speciation rates.pdf
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Appendix 16 - Robustness of SSE analyses.pdf
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Appendix 17 - BAMM analyses.docx
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Appendix 18 - Credible set of speciation shifts in Parnassiinae.pdf
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Appendix 19 - BAMM-like RevBayes analyses.pdf
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Appendix 2 - Gene alignments and trees.zip
725.70 KB
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Appendix 20 - CoMET analyses.pdf
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Appendix 21 - Correlation parameters for Bayesian models.pdf
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Appendix 22 - Relation butterfly diversification and host-plant diversity.pdf
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Appendix 3 - Parnassiinae_Fossils_MB.nex
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Appendix 4 - BEAST files for the dating analyses.zip
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Appendix 5 - Parnassiinae Distribution.xlsx
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Appendix 6 - Adjacency matrices through time.xlsx
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Appendix 7 - Himalaya and Tibetan paleoaltimetry.zip
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Appendix 8 - Bayesian paleoenvironmental model.docx
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Appendix 9 - PartitionFinder analyses and results.zip
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Scripts for diversification analyses.zip
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Abstract
In macroevolution, the Red Queen (RQ) model posits that biodiversity dynamics depend mainly on species-intrinsic biotic factors such as interactions among species or life-history traits, while the Court Jester (CJ) model states that extrinsic environmental abiotic factors have a stronger role. Until recently, a lack of relevant methodological approaches has prevented the unraveling of contributions from these two types of factors to the evolutionary history of a lineage. Here we take advantage of the rapid development of new macroevolution models that tie diversification rates to changes in paleoenvironmental (extrinsic) and/or biotic (intrinsic) factors. We inferred a robust and fully-sampled species-level phylogeny, as well as divergence times and ancestral geographic ranges, and related these to the radiation of Apollo butterflies (Parnassiinae) using both extant (molecular) and extinct (fossil/morphological) evidence. We tested whether their diversification dynamics are better explained by a RQ or CJ hypothesis, by assessing whether speciation and extinction were mediated by diversity-dependence (niche filling) and clade-dependent host-plant association (RQ) or by large-scale continuous changes in extrinsic factors such as climate or geology (CJ). For the RQ hypothesis, we found significant differences in speciation rates associated with different host-plants but detected no sign of diversity-dependence. For CJ, the role of Himalayan-Tibetan building was substantial for biogeography but not a driver of high speciation, while positive dependence between warm climate and speciation/extinction was supported by continuously varying maximum-likelihood models. We find that rather than a single factor, the joint effect of multiple factors (biogeography, species traits, environmental drivers, and mass extinction) is responsible for current diversity patterns, and that the same factor might act differently across clades, emphasizing the notion of opportunity. This study confirms the importance of the confluence of several factors rather than single explanations in modeling diversification within lineages.