TY - JOUR
T1 - Spatial simulations of myxobacterial development
AU - Holmes, Antony B.
AU - Kalvala, Sara
AU - Whitworth, David Edward
N1 - IMPF: 05.15
PY - 2010/2/26
Y1 - 2010/2/26
N2 - Many bacteria exhibit multicellular behaviour, with individuals within a colony coordinating their actions for communal benefit. One example of complex multicellular phenotypes is myxobacterial fruiting body formation, where thousands of cells aggregate into large three-dimensional structures, within which sporulation occurs. Here we describe a novel theoretical model, which uses Monte Carlo dynamics to simulate and explain multicellular development. The model captures multiple behaviours observed during fruiting, including the spontaneous formation of aggregation centres and the formation and dissolution of fruiting bodies. We show that a small number of physical properties in the model is sufficient to explain the most frequently documented population-level behaviours observed during development in Myxococcus xanthus.
AB - Many bacteria exhibit multicellular behaviour, with individuals within a colony coordinating their actions for communal benefit. One example of complex multicellular phenotypes is myxobacterial fruiting body formation, where thousands of cells aggregate into large three-dimensional structures, within which sporulation occurs. Here we describe a novel theoretical model, which uses Monte Carlo dynamics to simulate and explain multicellular development. The model captures multiple behaviours observed during fruiting, including the spontaneous formation of aggregation centres and the formation and dissolution of fruiting bodies. We show that a small number of physical properties in the model is sufficient to explain the most frequently documented population-level behaviours observed during development in Myxococcus xanthus.
UR - http://hdl.handle.net/2160/10815
U2 - 10.1371/journal.pcbi.1000686
DO - 10.1371/journal.pcbi.1000686
M3 - Article
C2 - 20195493
SN - 1553-734X
VL - 6
JO - PLoS Computational Biology
JF - PLoS Computational Biology
IS - 2
M1 - e1000686
ER -