Adaptive radiation despite conserved modularity patterns in San Salvador Island Cyprinodon pupfishes and their hybrids

Adaptive radiations are striking examples of rapid speciation along ecological lines. In adaptive radiations, fast rates of lineage diversification often pair with rapid rates of morphological diversification. Such diversification has often been documented through the lens of ecological drivers, overlooking the intrinsic structural constraints that may also have a key role in configuring patterns of trait diversification. Covariation within and between traits has been hypothesized to govern the axes of trait evolution, either by increasing the degree of covariation between traits (i.e., integration), which promotes morphological coordination, or by strengthening the degree of covariation within traits (i.e., modularity), which allows organisms to explore novel trait combinations and different regions of morphospace. Here, we study the modularity of the skull within an adaptive radiation of pupfishes that is endemic to San Salvador Island, Bahamas. This radiation exhibits divergent crani..., , , Adaptive radiation despite conserved modularity patterns in San Salvador Island Cyprinodon pupfishes and their hybrids

[https://doi.org/10.5061/dryad.tx95x6b6k](https://doi.org/10.5061/dryad.tx95x6b6k)

This dataset includes an R script and 3D landmark data used to analyze the integration and modularity in the skull of pupfish species from adaptive radiation on San Salvador Island, Bahamas. The study investigates conserved modularity patterns and varying integration strengths in different cranial regions across species.

Description of file and data structure
Files:

1. **R Script (`158Gloco.R`)**: Contains code for loading and processing landmark data, defining hypotheses for skull modularity, running integration tests, testing morphological disparity, and plotting figures.
2. **3D Landmark Data (`landmark.zip`)**: Contains the original checkpoint file with digitized 3D cranial landmarks used to assess skull morphology. Can be viewed as a .txt file. The digitized landmarks are located...