Stability and responsiveness in a self-organized living architecture

PLoS Comput Biol. 2013;9(3):e1002984. doi: 10.1371/journal.pcbi.1002984. Epub 2013 Mar 28.

Abstract

Robustness and adaptability are central to the functioning of biological systems, from gene networks to animal societies. Yet the mechanisms by which living organisms achieve both stability to perturbations and sensitivity to input are poorly understood. Here, we present an integrated study of a living architecture in which army ants interconnect their bodies to span gaps. We demonstrate that these self-assembled bridges are a highly effective means of maintaining traffic flow over unpredictable terrain. The individual-level rules responsible depend only on locally-estimated traffic intensity and the number of neighbours to which ants are attached within the structure. We employ a parameterized computational model to reveal that bridges are tuned to be maximally stable in the face of regular, periodic fluctuations in traffic. However analysis of the model also suggests that interactions among ants give rise to feedback processes that result in bridges being highly responsive to sudden interruptions in traffic. Subsequent field experiments confirm this prediction and thus the dual nature of stability and flexibility in living bridges. Our study demonstrates the importance of robust and adaptive modular architecture to efficient traffic organisation and reveals general principles regarding the regulation of form in biological self-assemblies.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Animal Communication
  • Animals
  • Ants / physiology*
  • Appetitive Behavior / physiology*
  • Biomechanical Phenomena / physiology
  • Computational Biology
  • Computer Simulation
  • Motor Activity / physiology
  • Statistics, Nonparametric

Grants and funding

TM acknowledges the support of the Bermuda Rhodes Scholarship. IDC acknowledges support from NSF grant PHY-0848755, the Searle Scholars Program, ONR grant N00014-09-1-1074, DARPA grant HR0011-09-1-0055 and Army Research Office Grant W911NG-11-1-0385. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.