Anatomical insights into fish terrestrial locomotion: a study of barred mudskipper (Periophthalmus argentilineatus) fins based on μCT 3D reconstructions
Data files
Apr 10, 2024 version files 15.95 GB
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DICOM_Parioglossus_dotui_Okinawa_24.6_mm.rar
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DICOM_Periophtalmus_argentilineatus_Okinawa_116.8_mm.rar
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DICOM_Rhinogobus_brunneus_Okinawa_38.8_mm.rar
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DICOM_Rhyacichthys_aspro_Okinawa_59.8_mm.rar
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DICOM_zebrafish_pet_shop_29.2_mm.rar
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Mudskipper-12.2-HD-60fps.mp4
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README.md
Abstract
Mudskippers are a group of extant ray-finned fishes with an amphibious lifestyle and serve as exemplars for understanding the evolution of amphibious capabilities in teleosts. A comprehensive anatomical profile of both the soft and hard tissues within their propulsive fins is essential for advancing our understanding of terrestrial locomotor adaptations in fish. Despite the ecological significance of mudskippers, detailed data on their musculoskeletal anatomy remains limited. In the present research, we utilized contrast-enhanced high-resolution micro-computed tomography (μCT) imaging to investigate the barred mudskipper, Periophthalmus argentilineatus. This technique enabled detailed reconstruction and quantification of the morphological details of the pectoral, pelvic, and caudal fins of this terrestrial mudskipper, facilitating comparison with its aquatic relatives. Our findings reveal that P. argentilineatus has undergone complex musculoskeletal adaptations for terrestrial movement, including an increase in muscle complexity and muscle volume, as well as the development of specialized structures like aponeuroses for pectoral fin extension. Skeletal modifications are also evident, with features such as a reinforced shoulder-pelvic joint and thickened fin rays. These evolutionary modifications suggest biomechanically advanced fins capable of overcoming the gravitational challenges of terrestrial habitats, indicating a strong selective advantage for these features in land-based environments. The unique musculoskeletal modifications in the fins of mudskippers like P. argentilineatus, compared to their aquatic counterparts, mark a critical evolutionary shift toward terrestrial adaptations. This study not only sheds light on the specific anatomical changes facilitating this transition but also offers broader insights into the early evolutionary mechanisms of terrestrial locomotion, potentially mirroring the transformative journey from aquatic to terrestrial life in the lineage leading to tetrapods.
README: Anatomical insights into fish terrestrial locomotion: a study of barred mudskipper (Periophthalmus argentilineatus) fins based on μCT 3D reconstructions
This dataset comprises high-resolution micro-CT image series from five unique raw datasets representing distinct fish species: three aquatic gobies, a zebrafish, and one mudskipper, Periophthalmus argentilineatus. Designed to showcase the complete anatomical structures of these species, the dataset focuses on external and internal morphologies. Manual segmentation was applied to the fins (pectoral, pelvic, and caudal). The resulting visualizations can be found in the manuscript.
Description of data and file structure
Data were obtained via microCT (Zeiss Xradia Versa 510) and are stored in DICOM format. Each species' dataset has been compressed into an RAR archive, labeled with the species name and its size (total length in millimeters). Open-source DICOM viewers can be used to access this data.
Additionally, the dataset includes an animated video (in mp4 format) showcasing the segmented models. This video is compatible with standard video software, including a VLC media player.
Sharing/Access information
This dataset is unique and exclusively available through this submission.
Methods
To visualize the fins' skeletal and muscular structures and their locomotion functions, we developed an animated video. This entailed exporting segmented bone and muscle models in *.stl format from segmentation software into Blender for 3D animation. We programmed the animation sequence with Python in Blender's API, showcasing the muscle groups, movements, and transitions, complemented by manual camera animation to enhance feature visibility. Additionally, legends and labels were integrated into the animation using Python scripting and vector math for accurate placement. The animation was finalized and rendered clear with ffmpeg, providing a vivid representation of our findings. The final video was rendered and compiled using the ffmpeg program.