Data from: Mosaic evolution of the skull in labrid fishes involves differences in both tempo and mode of morphological change
Data files
Sep 19, 2023 version files 603.68 KB
Abstract
Modularity is a ubiquitous feature of organismal design that plays an important role in structuring patterns of morphological diversification. Modularity can facilitate evolutionary changes by allowing subsets of traits to coevolve as integrated units and follow quasi-independent evolutionary trajectories, a pattern that may be particularly consequential in the case of highly complex morphological structures. Here we examine modularity in a complex and highly kinetic structure, the teleost skull, and ask if a modular organization of the skull has influenced the diversification dynamics of the shapes of its osteological components across the labrid phylogeny. We compiled one of the largest three-dimensional morphological datasets of fishes to date, and used geometric morphometrics to quantify patterns of cranial shape evolution across 184 species of wrasses (Labridae). We then tested several hypotheses of modularity inspired by functional and developmental relationships between cranial bones and compared phenotypic rates among modules. We also compared the fit of models of trait evolution for the entire skull and the various articulated bones that it comprises. Our analyses indicated strong support for a two-module hypothesis, one that encompasses the oral and pharyngeal jaws, and another module comprised of the neurocranium, hyoid apparatus and operculum. This functional hypothesis yielded one of the highest significant rate differentials across modules, yet we also found that the best-fitting models of trait evolution differed among skull bones. These results suggest that modularity can influence morphological diversification in complex biological structures via differences in both the tempo and mode of evolutionary change.
README
This README.txt file was generated on 2023-09-19 by Olivier Larouche
GENERAL INFORMATION
- Title of Dataset: Data from: Mosaic Evolution of the Skull in Labrid Fishes Involves Differences in both Tempo and Mode of Morphological Change.
- Author Information Corresponding Investigator Name: Dr. Olivier Larouche Institution: Department of Biology and Biochemistry, University of Houston, 3455 Cullen Blvd., Houston, TX, USA, 77204 Email: olivierlarouche7@gmail.com <br> Co-investigator 1 Name: Samantha M. Gartner Institution: Department of Organismal Biology and Anatomy, University of Chicago, 1027 E 57th Street, Chicago, IL, USA, 60637 <br> Co-investigator 2 Name: Dr. Mark W. Westneat Institution: Department of Organismal Biology and Anatomy, University of Chicago, 1027 E 57th Street, Chicago, IL, USA, 60637 <br> Co-investigator 3 Name: Dr. Kory M. Evans Institution: Department of Biosciences, Rice University, 6100 Main Street, Houston, TX, USA, 77005
- Recommended citation for this dataset: Larouche et al. (2023), Data from: Mosaic Evolution of the Skull in Labrid Fishes Involves Differences in both Tempo and Mode of Morphological Change, Dryad, Dataset
DATA & FILE OVERVIEW
- Description of dataset
These data were generated to investigate patterns of evolutionary integration and modularity across the various bones that compose the skull of wrasses (Labridae). The datset includes 197 3D landmarks (80 landmarks and 117 sliding semi-landmarks ) positioned across the skull of 186 species of wrasses.
File List:
- File 1 Name: Wrasse_final_LMdata.zip File 1 Description: The zip file includes landmark coordinate files for each of the species in the dataset in txt formats.
- File 2 Name: Scripts.zip File 2 Description: R code and accessory files that was used to perform the various analyses described in Larouche et al (2023).
METHODOLOGICAL INFORMATION
Specimens were scanned at the University of Washington Friday Harbor Laboratories, the University of Minnesota, and the University of Chicago in conjunction with the #scanAllFishes and #oVert initiatives. Scans were segmented in Amira™ (Thermo Fisher Scientific 2021) to isolate the skull and remove scales and debris. The resulting segmented skulls were then converted to three-dimensional mesh files for each species. Meshes were imported in Stratovan Checkpoint™ (Stratovan Corporation 2020) and shape variation was quantified by digitizing 80 landmarks and 117 sliding semi-landmarks
DATA-SPECIFIC INFORMATION FOR: Wrasse_final_LMdata.zip file
- Number of variables (landmarks): N/A; not applicable
- Missing data codes: None
- Abbreviations used: N/A; not applicable
- Other relevant information: The Wrasse_final_LMdata.zip file contains the raw coordinates in individual txt files for 186 species or wrasses
DATA-SPECIFIC INFORMATION FOR: Scripts.zip
- Number of variables: N/A; not applicable
- Missing data codes: None
- Abbreviations used: N/A; not applicable
- Other relevant information: The zip file contains 15 files: Wrasse1_SystBiol_submission2_cleaned.R: This is the main R script to perform the various analyses described in Larouche et al. (2023). All other files included in the zip file are referred to wherever appropriate in this main script.