Applying 3D Models of Giant Salamanders to Explore Form-function Relationships in Early Digit-bearing Tetrapods.
Integr Comp Biol
; 2024 Aug 02.
Article
em En
| MEDLINE
| ID: mdl-39096158
ABSTRACT
Extant salamanders are used as modern analogs of early digit-bearing tetrapods due to general similarities in morphology and ecology but the study species have been primarily terrestrial and relatively small when the earliest digit-bearing tetrapods were aquatic and an order of magnitude larger. Thus, we created a 3D computational model of underwater walking in extant Japanese giant salamanders (Andrias japonicus) using 3D photogrammetry and open-access graphics software (Blender) to broaden the range of testable hypotheses about the incipient stages of terrestrial locomotion. Our 3D model and software protocol represent the initial stages of an open-access pipeline that could serve as a "one-stop-shop" for studying locomotor function, from creating 3D models to analyzing the mechanics of locomotor gaits. While other pipelines generally require multiple software programs to accomplish the different steps in creating and analyzing computational models of locomotion, our protocol is built entirely within Blender and fully customizable with its Python scripting so users can devote more time to creating and analyzing models instead of navigating the learning curves of several software programs. The main value of our approach is that key kinematic variables (e.g., speed, stride length, elbow flexion) can be easily altered on the 3D model, allowing scientists to test hypotheses about locomotor function and conduct manipulative experiments (e.g., lengthening bones) that are difficult to perform in vivo. The accurate 3D meshes (and animations) generated through photogrammetry also provide exciting opportunities to expand the abundance and diversity of 3D digital animals available for researchers, educators, artists, conservation biologists, etc. to maximize societal impacts.
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Base de dados:
MEDLINE
Idioma:
En
Revista:
Integr Comp Biol
Ano de publicação:
2024
Tipo de documento:
Article