Time-dependent bistability leads to critical slowing down during floral transition in Arabidopsis
Developmental transitions occur in the life cycles of all multicellular organisms. Despite their fundamental relevance, the underlying dynamics remain poorly understood. In plants, floral transition is a key developmental process whereby the shoot apical meristem changes from producing leaves to forming flowers. Using quantitative imaging, developmental genetics, and dynamical systems theory, we show that a time-dependent bistable switch between expression of APETALA2, a key floral inhibitor, and the floral activators SUPPRESSOR OF OVEREXPRESSION OF CONSTANS 1 and FRUITFULL, can explain the dynamics of floral transition in Arabidopsis. Notably, we detect a slowing down of the inhibitor dynamics, consistent with the system crossing a critical point of a bistable switch and transiently experiencing a ghost attractor. We demonstrate that this time-dependent bistability is essential to generate the range of dynamical behaviours measured across genotypes, including oscillations in the inhibitor, and that it also confers robustness in the transition. Collectively, our work provides quantitative evidence of time-dependent bistability underlying floral transition, which introduces a new timescale to this developmental process.
Authors
- Pau Formosa-Jordan (ORCID: https://orcid.org/0000-0003-3005-597X)
- George Coupland (ORCID: https://orcid.org/0000-0001-6988-4172)
- Gabriel Rodríguez-Maroto (ORCID: https://orcid.org/0000-0001-8926-2709)
- Martina Cerise (ORCID: https://orcid.org/0000-0002-9654-252X)
- Pau Casanova-Ferrer (ORCID: https://orcid.org/0000-0001-5445-7469)
- Kang Wang (ORCID: https://orcid.org/0009-0004-6177-2730)
Institutions
- Max Planck Institute for Plant Breeding Research (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-08-25
- DOI
- https://doi.org/10.1038/s41467-026-76210-2
- Citations
- 1
- Primary Topic
- Plant Molecular Biology Research
- Type
- article
- Field-Weighted Citation Impact
- 4.95
Funders
- National Science Foundation
- Alexander von Humboldt-Stiftung
- International Max Planck Research School for Environmental, Cellular and Molecular Microbiology
- Deutsche Forschungsgemeinschaft
- Max-Planck-Gesellschaft
- China Scholarship Council
- Horizon 2020 Framework Programme
- Division of Biological Infrastructure