Data and code from: Revisiting the evolution of wing dimorphisms in the genomics era
Data files
Apr 30, 2026 version files 29.35 KB
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Gryllus_Wing_Dimorphism_Ancestral_Trait_Reconstruction_Analysis_Code.R
22.87 KB
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README.md
2.46 KB
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wing_a.csv
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wing1.csv
1.36 KB
Abstract
Dispersal strategies are critical life history traits influencing bio-geographical, ecological, and evolutionary patterns and processes including range-expansion and contractions, abiotic and biotic interactions, and rates of speciation. Yet, dispersal strategies are challenging to study because they are complex suites of morphological, physiological, and behavioral traits. Thus, our understanding of how and why dispersal strategies evolve remains incomplete. Wing dimorphisms have evolved repeatedly within nearly every major insect order and are characterized by the co-occurrence of fully winged dispersing and short- or wingless non-dispersing morphs within species or populations, making them ideal model systems for studying the evolution of alternative dispersal strategies. Forty years ago, Derek Roff proposed that wing dimorphisms are a threshold trait which evolves as an intermediate step on the trajectory toward complete loss of flight, driven by the high physiological and life history costs of dispersal. Here, we provide the data files and R-script used for a phylogenetic reconstruction of wing dimorphism in the well-developed model Gryllus field crickets.
Dataset DOI: 10.5061/dryad.31zcrjf2t
Description of the data and file structure
No original data was generated for this analysis.
The ancestral trait reconstruction was performed using a published phylogenies for North American Gryllus field crickets by Gray et al. (2020) (https://datadryad.org/dataset/doi:10.5061/dryad.mkkwh70vf).
The wing morphology states were assigned based on species descriptions present in a monograph by Weissman and Gray (2019) (https://doi.org/10.11646/zootaxa.4705.1.1).
Files and variables
File: wing_a.csv
Description: wing morphology states for the ancestral trait reconstruction performed using the Astral tree from Gray et al. (2020)
Variables
- tip.label: labels of all tips based on sample id and species in the Astral tree from Gray et al. (2020)
- wing: wing morphology state of each tip in the tree. 1 = LW monomorphic, 2 = wing dimorphic, 3= SW monomorphic
File: wing1.csv
Description: wing morphology states for the ancestral trait reconstruction performed using the best species tree from Gray et al. (2020)
Variables
- tip.label: labels of all tips based on sample id and species in the best fit species tree from Gray et al. (2020)
- wing: wing morphology state of each tip in the tree. 1 = LW monomorphic, 2 = wing dimorphic, 3= SW monomorphic
File: Gryllus_Wing_Dimorphism_Ancestral_Trait_Reconstruction_Analysis_Code.R
Description: R-code for conducting alternative ancestral trait reconstructions for wing dimorphism across the North America field cricket (Gryllus spp.) phylogeny.
Code/software
Data on wing morphology states are provided as ".csv" files They can be accessed and opened directly in R using the code for the analysis provided.
To run the code was written in R v.4.4.3. Packages required include "phytools", "ape", "geiger", "plyr", "data.table", "stringr", and "svglite"
Access information
Other publicly accessible locations of the data:
- N/A
Data was derived from the following sources: