Collective treadmilling in fire ant rafts permits sustained protrusion growth
Robert J. Wagner, Kristen Such, Ethan Hobbs, Franck J. Vernerey

TL;DR
This study reveals that fire ant rafts sustain shape changes through a process called treadmilling, involving a balance of structural contraction and edge deposition of free ants, leading to protrusion formation for environmental exploration.
Contribution
It demonstrates that protrusion dynamics in fire ant rafts are driven by stochastic edge deposition asymmetries caused by wall effects and local interactions, linking active matter behavior to biological morphogenesis.
Findings
Protrusions emerge from stochastic edge deposition asymmetries.
Treadmilling balances raft contraction and expansion.
Protrusions aid in environmental exploration and escape.
Abstract
Condensed active matter is exemplary for its capacity to morph and exhibit internal flows despite remaining cohered. To facilitate understanding of this ability, we investigate the cause of finger-like protrusions that emerge from super-organismal, aggregated rafts of fire ants (Solenopsis invicta). While these features are easily observed, what permits their recuring initiation, growth, and recession is not immediately clear. Ants rafts are comprised of a floating, structural network of interconnected ants on which a layer of freely active ants walks. We show here that sustained shape evolution is permitted by treadmilling defined by the competition between perpetual raft contraction due to displacement of bulk structural ants into the active layer, and outwards raft expansion due to deposition of free ants into the structural network at the edges. Furthermore, we see that protrusions…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsInsect and Arachnid Ecology and Behavior · Micro and Nano Robotics · Modular Robots and Swarm Intelligence
