caa a22 4500 445391448 CHVBK 20180317143047.0 cr unu---uuuuu 170323e20110701xx s 000 0 eng 10.1007/s10955-011-0179-x doi (NATIONALLICENCE)springer-10.1007/s10955-011-0179-x Universality in Bacterial Colonies [Elektronische Daten] [Juan Bonachela, Carey Nadell, João Xavier, Simon Levin] The emergent spatial patterns generated by growing bacterial colonies have been the focus of intense study in physics during the last twenty years. Both experimental and theoretical investigations have made possible a clear qualitative picture of the different structures that such colonies can exhibit, depending on the medium on which they are growing. However, there are relatively few quantitative descriptions of these patterns. In this paper, we use a mechanistically detailed simulation framework to measure the scaling exponents associated with the advancing fronts of bacterial colonies on hard agar substrata, aiming to discern the universality class to which the system belongs. We show that the universal behavior exhibited by the colonies can be much richer than previously reported, and we propose the possibility of up to four different sub-phases within the medium-to-high nutrient concentration regime. We hypothesize that the quenched disorder that characterizes one of these sub-phases is an emergent property of the growth and division of bacteria competing for limited space and nutrients. Springer Science+Business Media, LLC, 2011 Computational biology nationallicence Interfaces in random media (Theory) nationallicence Self-affine roughness (Theory) nationallicence Bonachela Juan Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut Nadell Carey Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut Xavier João Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 460, 10065, New York, NY, USA aut Levin Simon Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 303-315 0022-4715 144:2<303 2011 144 10955 https://doi.org/10.1007/s10955-011-0179-x text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s10955-011-0179-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Bonachela Juan Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Nadell Carey Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut NATIONALLICENCE 700 1- Xavier João Program in Computational Biology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, Box 460, 10065, New York, NY, USA aut NATIONALLICENCE 700 1- Levin Simon Department of Ecology and Evolutionary Biology, Princeton University, 08544-1003, Princeton, NJ, USA aut NATIONALLICENCE 773 0- Journal of Statistical Physics Springer US; http://www.springer-ny.com 144/2(2011-07-01), 303-315 0022-4715 144:2<303 2011 144 10955 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer