| 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
![]() |
| ISSN | 1548-7091 |
| 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) |
| 推荐引用方式 GB/T 7714 | 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). |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
| 2026071351.pdf(3988KB) | 期刊论文 | 出版稿 | 开放获取 | CC BY-NC-SA | 请求全文 | |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论