Theory of active self-organization of dense nematic structures in the actin cytoskeleton
The actin cytoskeleton is remarkably adaptable and multifunctional. It often organizes into nematic bundles such as contractile rings or stress fibers. However, how a uniform and isotropic actin gel self-organizes into dense nematic bundles is not fully understood. Here, using an active gel model accounting for nematic order and density variations, we identify an active patterning mechanism leading to localized dense nematic structures. Linear stability analysis and nonlinear finite element simulations establish the conditions for nematic bundle self-assembly and how active gel parameters control the architecture, orientation, connectivity, and dynamics of self-organized patterns. Finally, we substantiate with discrete network simulations the main requirements for nematic bundle formation according to our theory, namely increased active tension perpendicular to the nematic direction and generalized active forces conjugate to nematic order. Our work portrays actin gels as reconfigurable active materials with a spontaneous tendency to develop patterns of dense nematic bundles.
Authors
- Marco De Corato (ORCID: https://orcid.org/0000-0002-9361-4794)
- Guillermo Vilanova (ORCID: https://orcid.org/0000-0002-9650-0602)
- Marino Arroyo (ORCID: https://orcid.org/0000-0003-1647-940X)
- Alejandro Torres-Sànchez (ORCID: https://orcid.org/0000-0002-4275-173X)
- Marco Pensalfini (ORCID: https://orcid.org/0000-0003-3296-9388)
- Waleed Mirza (ORCID: https://orcid.org/0000-0002-5197-1371)
Institutions
- Universidad de Zaragoza (ES)
- Barcelona Graduate School of Mathematics (ES)
- International Center for Numerical Methods in Engineering (ES)
- Institute of Engineering (NP)
- Institute for Bioengineering of Catalonia (ES)
- Institute of Science and Technology
- Universitat Politècnica de Catalunya (ES)
Publication Details
- Journal
- eLife
- Published
- 2025-10-17
- DOI
- https://doi.org/10.7554/elife.93097.3
- Primary Topic
- Micro and Nano Robotics
- Type
- article
- Field-Weighted Citation Impact
- 0.00