Spatiotemporal Self-Organization of Fluctuating Bacterial Colonies.

We model an enclosed system of bacteria, whose motility-induced phase separation is coupled to slow population dynamics. Without noise, the system shows both static phase separation and a limit cycle, in which a rising global population causes a dense bacterial colony to form, which then declines by local cell death, before dispersing to reinitiate the cycle. Adding fluctuations, we find that static colonies are now metastable, moving between spatial locations via rare and strongly nonequilibrium pathways, whereas the limit cycle becomes almost periodic such that after each redispersion event the next colony forms in a random location. These results, which hint at some aspects of the biofilm-planktonic life cycle, can be explained by combining tools from large deviation theory with a bifurcation analysis in which the global population density plays the role of control parameter.

[1]  Mark A. Peletier,et al.  A Generalization of Onsager’s Reciprocity Relations to Gradient Flows with Nonlinear Mobility , 2015, 1510.06219.

[2]  C. Landim,et al.  Macroscopic fluctuation theory , 2014, 1404.6466.

[3]  Michael E. Cates,et al.  Motility-Induced Phase Separation , 2014, 1406.3533.

[4]  Cristina Solano,et al.  Biofilm dispersion and quorum sensing. , 2014, Current opinion in microbiology.

[5]  Thomas Speck,et al.  Effective Cahn-Hilliard Equation for the Phase Separation of Active Brownian Particles , 2013, 1312.7242.

[6]  M. Cates,et al.  Scalar φ4 field theory for active-particle phase separation , 2013, Nature Communications.

[7]  S. Ramaswamy,et al.  Hydrodynamics of soft active matter , 2013 .

[8]  Adriano Tiribocchi,et al.  Continuum theory of phase separation kinetics for active Brownian particles. , 2013, Physical review letters.

[9]  Thomas Speck,et al.  Dynamical clustering and phase separation in suspensions of self-propelled colloidal particles. , 2013, Physical review letters.

[10]  S. Hultgren,et al.  Bacterial biofilms: development, dispersal, and therapeutic strategies in the dawn of the postantibiotic era. , 2013, Cold Spring Harbor perspectives in medicine.

[11]  David J. Pine,et al.  Living Crystals of Light-Activated Colloidal Surfers , 2013, Science.

[12]  J. Tailleur,et al.  When are active Brownian particles and run-and-tumble particles equivalent? Consequences for motility-induced phase separation , 2012, 1206.1805.

[13]  T. Hwa,et al.  Stripe formation in bacterial systems with density-suppressed motility. , 2012, Physical review letters.

[14]  Yutaka Sumino,et al.  Large-scale vortex lattice emerging from collectively moving microtubules , 2012, Nature.

[15]  M Cristina Marchetti,et al.  Athermal phase separation of self-propelled particles with no alignment. , 2012, Physical review letters.

[16]  T. Hwa,et al.  Sequential Establishment of Stripe Patterns in an Expanding Cell Population , 2011, Science.

[17]  Erwin Frey,et al.  Polar patterns of driven filaments , 2010, Nature.

[18]  M E Cates,et al.  Arrested phase separation in reproducing bacteria creates a generic route to pattern formation , 2010, Proceedings of the National Academy of Sciences.

[19]  James S. Langer,et al.  Annual review of condensed matter physics , 2010 .

[20]  E. Vanden-Eijnden,et al.  The geometric minimum action method: A least action principle on the space of curves , 2008 .

[21]  M E Cates,et al.  Statistical mechanics of interacting run-and-tumble bacteria. , 2008, Physical review letters.

[22]  G. Parisi,et al.  Interaction ruling animal collective behavior depends on topological rather than metric distance: Evidence from a field study , 2007, Proceedings of the National Academy of Sciences.

[23]  Ramin Golestanian,et al.  Self-motile colloidal particles: from directed propulsion to random walk. , 2007, Physical review letters.

[24]  E. Greenberg,et al.  Sociomicrobiology: the connections between quorum sensing and biofilms. , 2005, Trends in microbiology.

[25]  Michel Mandjes,et al.  Large Deviations for Performance Analysis: Queues, Communications, and Computing , Adam Shwartz and Alan Weiss (New York: Chapman and Hall, 1995). , 1996, Probability in the Engineering and Informational Sciences.

[26]  J. Herskowitz,et al.  Proceedings of the National Academy of Sciences, USA , 1996, Current Biology.

[27]  Alan Weiss,et al.  Large Deviations For Performance Analysis: Queues, Communication and Computing , 1995 .

[28]  Lefever,et al.  Comment on "Monte Carlo Simulations of Phase Separation in Chemically Reactive Binary Mixtures" , 1995, Physical review letters.

[29]  Glotzer,et al.  Glotzer, Stauffer, and Jan Reply. , 1995, Physical review letters.

[30]  J. Shapiro,et al.  The significances of bacterial colony patterns , 1995, BioEssays : news and reviews in molecular, cellular and developmental biology.

[31]  Muthukumar,et al.  Reaction-controlled morphology of phase-separating mixtures. , 1995, Physical review letters.

[32]  Glotzer,et al.  Monte Carlo simulations of phase separation in chemically reactive binary mixtures. , 1994, Physical review letters.

[33]  David Mumford,et al.  Communications on Pure and Applied Mathematics , 1989 .

[34]  Physical Review Letters 63 , 1989 .

[35]  M. Freidlin,et al.  Random Perturbations of Dynamical Systems , 1984 .