arXiv · 2602.01056
Population-Scale Advancing Interface Modeling Reveals How Bacterial Swarms Encode Future Spatial Architecture
Abstract
Motile bacteria shape microbial function by occupying space, yet how collective motion becomes population-scale architecture remains poorly resolved. Bacterial swarming is not merely surface motion, but a process by which motile populations commit to future macroscopic form. Here, in Enterobacter sp. SM3, a gut-associated swarmer linked to mucosal repair, we treat the advancing colony--environment interface as a morphodynamic state through which local motility becomes spatial order. We built SwarmEvo across thermal, hydration, and substrate-mechanical conditions and developed Morpher to resolve and propagate interface states. Counterintuitively, within the permissive assay range, condition labels only weakly separated future trajectories, whereas colony-specific interface geometry constrained later expansion, indicating that swarm fate is written into the interface rather than prescribed by condition identity. Boundary fidelity was decisive: a 0.67 percentage-point segmentation gap expanded into a 2.4--3.1 IoU-point forecasting loss. Preserving front displacement, protrusion continuity, and branch memory, Morpher predicted late-stage expansion with 95.42% mIoU, 10.61 px HD$_{95}$, and 3.93 px ASSD. These results identify the advancing interface as a state-bearing layer through which motility and environmental constraint are converted into future spatial form, enabling disease-relevant microbial organization to be read before endpoint architecture emerges.
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Shengyou Duan, Zhaoyang Wang, Kaiyi Xiong, Jin Zhu, Pengxi Gu, Weijie Chen, Hongyi Xin, Zijie Qu. 2026-02-01. Population-Scale Advancing Interface Modeling Reveals How Bacterial Swarms Encode Future Spatial Architecture. https://arxiv.org/abs/2602.01056
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