Arabidopsis research in 2030: Translating the computable plant

Brady, Siobhan; Auge, Gabriela; Ayalew, Mentewab; Balasubramanian, Sureshkumar; Hamann, Thorsten; Inze, Dirk; Saito, Kazuki; Brychkova, Galina; Berardini, Tanya Z.; Friesner, Joanna; Ho, Cheng‐Hsun; Hauser, Marie‐Theres; Kobayashi, Masatomo; Lepiniec, Loic; Mähönen, Ari Pekka; Mutwil, Marek; May, Sean; Parry, Geraint; Rigas, Stamatis; Stepanova, Anna N.; Williams, Mary; Provart, Nicholas J.

Abstract

Plants are essential for human survival. Over the past three decades, work with the reference plant Arabidopsis thaliana has significantly advanced plant biology research. One key event was the sequencing of its genome 25 years ago, which fostered many subsequent research technologies and datasets. Arabidopsis has been instrumental in elucidating plant-specific aspects of biology, developing research tools, and translating findings to crop improvement. It not only serves as a model for understanding plant biology and but also biology in other fields, with discoveries in Arabidopsis also having led to applications in human health, including insights into immunity, protein degradation, and circadian rhythms. Arabidopsis research has also fostered the development of tools useful for the wider biological research community, such as optogenetic systems and auxin-based degrons. This 4th Multinational Arabidopsis Steering Committee Roadmap outlines future directions, with emphasis on computational approaches, research support, translation to crops, conference accessibility, coordinated research efforts, climate change mitigation, sustainable production, and fundamental research. Arabidopsis will remain a nexus for discovery, innovation, and application, driving advances in both plant and human biology to the year 2030, and beyond.

Citation

Brady, S., Auge, G., Ayalew, M., Balasubramanian, S., Hamann, T., Inze, D., Saito, K., Brychkova, G., Berardini, T. Z., Friesner, J., Ho, C., Hauser, M., Kobayashi, M., Lepiniec, L., Mähönen, A. P., Mutwil, M., May, S., Parry, G., Rigas, S., Stepanova, A. N., …Provart, N. J. (2025). Arabidopsis research in 2030: Translating the computable plant. The Plant Journal, 121(5), Article e70047. https://doi.org/10.1111/tpj.70047

• Journal Article Type: Article
• Acceptance Date: Jan 29, 2025
• Online Publication Date: Mar 3, 2025
• Publication Date: 2025-03
• Deposit Date: Mar 17, 2025
• Publicly Available Date: Mar 18, 2025
• Journal: The Plant Journal
• Print ISSN: 0960-7412
• Electronic ISSN: 1365-313X
• Publisher: Wiley
• Peer Reviewed: Peer Reviewed
• Volume: 121
• Issue: 5
• Article Number: e70047
• DOI: https://doi.org/10.1111/tpj.70047
• Keywords: Arabidopsis thaliana, model system, genomics, translational research, AI, gene regulatory networks.
• Public URL: https://nottingham-repository.worktribe.com/output/46731511
• Publisher URL: https://onlinelibrary.wiley.com/doi/10.1111/tpj.70047