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High-throughput phenomics of global ant biodiversity

Antscan GAGA Consortium; Katzke, Julian ; Hita Garcia, Francisco ; Lösel, Philipp D.; Azuma, Fumika; Faragó, Tomáš 1; Aibekova, Lazzat; Casadei-Ferreira, Alexandre; Gautam, Shubham; Richter, Adrian; Toulkeridou, Evropi; Bremer, Sabine 1; Hamann, Elias ORCID iD icon 2; Hein, Jenny 3; Odar, Janes 1; Sarkar, Chandan 1; Zuber, Marcus ORCID iD icon 2; Boomsma, Jacobus J.; Feitosa, Rodrigo M.; ... mehr

Abstract:

The big data era in biology is underway, but the study of organismal form has been slow to capitalize on advances in imaging and computation. Imaging approaches can digitize whole organisms, but low throughput has limited the effort to document morphological diversity. Here, within the open science initiative ‘Antscan’, we applied high-throughput synchrotron X-ray microtomography to capture phenotypes across a diverse and ecologically dominant insect group: ants. At https://www.antscan.info, we provide 2,193 whole-body three-dimensional ant datasets from 212 genera and 792 species to broadly cover the ant phylogeny with a global scope, also pairing phenomic data with genome sequencing projects. Scans acquired with standardized parameters facilitate automated analysis, and free access to data can broaden the audience and incentivize methods development. Antscan presents a scalable approach to create libraries of diverse anatomies, heralding an era of studies on the evolution, structure and function of organismal phenotypes.


Verlagsausgabe §
DOI: 10.5445/IR/1000191240
Veröffentlicht am 09.03.2026
Originalveröffentlichung
DOI: 10.1038/s41592-026-03005-0
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Photonenforschung und Synchrotronstrahlung (IPS)
Laboratorium für Applikationen der Synchrotronstrahlung (LAS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2026
Sprache Englisch
Identifikator ISSN: 1548-7091, 1548-7105
KITopen-ID: 1000191240
HGF-Programm 56.12.11 (POF IV, LK 01) Materials - Quantum, Complex and Functional
Erschienen in Nature Methods
Verlag Nature Research
Vorab online veröffentlicht am 05.03.2026
Nachgewiesen in OpenAlex
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