High-throughput phenomics of global ant biodiversity
Katzke, J; Garcia, FH; Lösel, PD; Azuma, F; Faragó, T; Aibekova, L; Casadei-Ferreira, A; Gautam, S; Richter, A; Toulkeridou, E; Bremer, S; Hamann, E; Hein, J; Odar, J; Sarkar, C; Zuber, M; Boomsma, JJ; Feitosa, RM; Schrader, L; Zhang, GJ; Csosz, S; Dong, MS; Evangelista, O; Fischer, G; Fisher, BL; Florez-Fernandez, JA; Aron, S; Bernadou, A; Bollazzi, M; Boulay, R; Cremer, S; Feldhaar, H; Foitzik, S; Frank, ET; Gadau, J; Giannetti, D; De Greef, S; Helanterä, H; Jesovnik, A; Larabee, F; Markó, B; Nash, D; Orivel, J; Pedersen, JS; Petitclerc, F; Rehner, S; Schiott, M; Tartally, A; Tsuji, K; Villalta, I; Wagner, HC; García, F; Gómez, K; Grasso, DA; Guénard, B; Hawkes, PG; Johnson, RA; Keller, RA; Larsen, RS; Linksvayer, TA; Liu, C; Matte, A; Ogasawara, M; Ran, H; Rodriguez, J; Schifani, E; Schultz, TR; Shik, JZ; Sosa-Calvo, J; Tong, C; Tozetto, L; Yoon, S; Yoshimura, M; Zhao, J; Baumbach, T; Economo, EP; van de Kamp, T
2026
发表期刊Nat. Methods
ISSN1548-7091
卷号23期号:3
摘要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.
收录类别SCIE
语种英语
文献类型期刊论文
条目标识符http://ir.kiz.ac.cn/handle/152453/15043
专题科研部门_系统进化与生物地理学(杨君兴)
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Katzke, J,Garcia, FH,Lösel, PD,et al. High-throughput phenomics of global ant biodiversity[J]. Nat. Methods,2026,23(3).
APA Katzke, J.,Garcia, FH.,Lösel, PD.,Azuma, F.,Faragó, T.,...&van de Kamp, T.(2026).High-throughput phenomics of global ant biodiversity.Nat. Methods,23(3).
MLA Katzke, J,et al."High-throughput phenomics of global ant biodiversity".Nat. Methods 23.3(2026).
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