title: Influence of cell-to-cell variability on spatial pattern formation.
abstract: Many spatial patterns in biology arise through differentiation of selected cells within a tissue, which is regulated by a genetic network. This is specified by its structure, parameterisation and the noise on its components and reactions. The latter, in particular, is not well examined because it is rather difficult to trace. The authors use suitable local mathematical measures based on the Voronoi diagram of experimentally determined positions of epidermal plant hairs (trichomes) to examine the variability or noise in pattern formation. Although trichome initiation is a highly regulated process, the authors show that the experimentally observed trichome pattern is substantially disturbed by cell-to-cell variations. Using computer simulations, they find that the rates concerning the availability of the protein complex that triggers trichome formation plays a significant role in noise-induced variations of the pattern. The focus on the effects of cell noise yields further insights into pattern formation of trichomes. The authors expect that similar strategies can contribute to the understanding of other differentiation processes by elucidating the role of naturally occurring fluctuations in the concentration of cellular components or their properties.
authors.affiliation: University of Freiburg, Center for Biological Systems Analysis, Freiburg, Germany. bettina.greese@thep.lu.se
authors.forename: B
authors.initials: B
authors.lastname: Greese
authors.forename: K
authors.initials: K
authors.lastname: Wester
authors.forename: R
authors.initials: R
authors.lastname: Bensch
authors.forename: O
authors.initials: O
authors.lastname: Ronneberger
authors.forename: J
authors.initials: J
authors.lastname: Timmer
authors.forename: M
authors.initials: M
authors.lastname: Huulskamp
authors.forename: C
authors.initials: C
authors.lastname: Fleck
mesh_terms: D017360:Arabidopsis / Q000033:anatomy & histology* / Q000254:growth & development*; D049108:Cell Enlargement; D049109:Cell Proliferation; D003198:Computer Simulation; D008953:Models, Anatomic; D008954:Models, Biological; D015233:Models, Statistical; D059828:Plant Cells / Q000502:physiology* / Q000648:ultrastructure*; D063245:Plant Development / Q000502:physiology*