This is a Preprint and has not been peer reviewed. This is version 4 of this Preprint.
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Abstract
Quantifying the tempo and mode via modern phylogenetic comparative methods can provide insights into how selection and constraints shape trait evolution. Here we elucidate the evolution of diapause, a complex and key trait that allows temporal escape from unfavorable conditions in many insects, including our model system, butterflies. Using a thorough literature survey, we first scored the developmental stage of diapause (egg, larva, pupa, adult) vs. absence of winter diapause. We find that larval diapause is most common in temperate areas while pupal, egg, and adult diapause are relatively rare. Next, we determined that the loss of diapause occurred at a much higher rate, and its gain primarily occurred from the non-diapause state. While ancestral state estimation at deeper nodes remained uncertain, we found consistent patterns for some families and strong evidence for extensive convergent evolution of diapause. Contrary to expectations, we find no support for increased diapause gain during the Eocene-Oligocene glaciation (~35 MYA). Overall, the evolution of diapause in butterflies has a complex history, has evolved convergently, and has likely pre-dated major glaciation event consistent with the deep history of diapause evolution in insects. These findings fill an important gap in much-needed studies for future comparative research.
DOI
https://doi.org/10.32942/X2CG7H
Subjects
Ecology and Evolutionary Biology, Entomology, Life Sciences
Keywords
Eocene-Oligocene glacial maximum, Life-history trait, Mk models, Phylogenetic comparative methods, seasonality, Convergent evolution, Eocene-Oligocene glacial maximum, Life-history trait, Mk models, Phylogenetic comparative methods, seasonality
Dates
Published: 2024-02-19 10:18
Last Updated: 2024-03-11 07:47
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License
CC-BY Attribution-No Derivatives 4.0 International
Additional Metadata
Language:
English
Conflict of interest statement:
none
Data and Code Availability Statement:
Open data/code are not available. We will make the the raw data, full R scripts and all the log files (as .RDS files) to reproduce the analyses (e.g. on Dryad) after acceptance of the manuscript in the journal.
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