AI Article Synopsis
- A dataset of μCT scans from 56 species of Lake Malawi cichlid fishes is introduced, capturing a wide range of morphological variations among these fish.
- The text discusses the ecomorphological groupings of the species and suggests potential macroevolutionary research that could utilize this dataset.
- An efficient methodology for scanning, averaging 23 specimens per hour while ensuring high resolution, is outlined, showcasing its effectiveness through 3D bone models reconstructed from the collected data.
Article Abstract
Here we describe a dataset of freely available, readily processed, whole-body μCT-scans of 56 species (116 specimens) of Lake Malawi cichlid fishes that captures a considerable majority of the morphological variation present in this remarkable adaptive radiation. We contextualise the scanned specimens within a discussion of their respective ecomorphological groupings and suggest possible macroevolutionary studies that could be conducted with these data. In addition, we describe a methodology to efficiently μCT-scan (on average) 23 specimens per hour, limiting scanning time and alleviating the financial cost whilst maintaining high resolution. We demonstrate the utility of this method by reconstructing 3D models of multiple bones from multiple specimens within the dataset. We hope this dataset will enable further morphological study of this fascinating system and permit wider-scale comparisons with other cichlid adaptive radiations.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11387623 | PMC |
| http://dx.doi.org/10.1038/s41597-024-03687-1 | DOI Listing |
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