A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes

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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Publication Details

Journal
Scientific Data
Published
2024-09-10
DOI
https://doi.org/10.1038/s41597-024-03687-1
Citations
5
Primary Topic
Fish Ecology and Management Studies
Type
article
Field-Weighted Citation Impact
3.45

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article

A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes

Roger Benson, James Maclaine, George F. Turner, Martin J. Genner et al.
5 citations
Scientific Data
Fish Ecology and Management Studies
3.45
article

A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes

Roger Benson, James Maclaine, George F. Turner, Martin J. Genner, Berta Verd, Callum Bucklow
article en
5 citations

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.

Scientific DataVol. 11(1)
Natural History Museum (GB), American Museum of Natural History (US), Bangor University (GB), University of Bristol (GB), University of Oxford (GB)
University of Bristol, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council
Openalex Percentile: Top 8%
Fish Ecology and Management Studies
3.45
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A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes — Roger Benson, James Maclaine, et al. · Scientific Data (2024) | TGRS Research Map | TGRS