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

Callum V. Bucklow, Martin j. Genner, George F. Turner, James Maclaine, Roger Benson*, Berta Verd

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

2 Citations (Scopus)

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.
Original languageEnglish
Article number984
JournalScientific Data
Volume11
DOIs
Publication statusPublished - 10 Sept 2024

Bibliographical note

Publisher Copyright:
© The Author(s) 2024.

Fingerprint

Dive into the research topics of 'A whole-body micro-CT scan library that captures the skeletal diversity of Lake Malawi cichlid fishes'. Together they form a unique fingerprint.

Cite this