Stochastic Turing patterns of trichomes in Arabidopsis leaves.

ABSTRACT: Biological patterns that emerge during the morphogenesis of multicellular organisms can display high precision at large scales, while at cellular scales, cells exhibit large fluctuations stemming from cell-cell differences in molecular copy numbers also called demographic noise. We study the conflicting interplay between high precision and demographic noise in trichome patterns on the epidermis of wild-type Arabidopsis thaliana leaves, as a two-dimensional model system. We carry out a statistical characterization of these patterns and show that their power spectra display fat tails-a signature compatible with noise-driven stochastic Turing patterns-which are absent in power spectra of patterns driven by deterministic instabilities. We then present a theoretical model that includes d

SUBMITTER: Di Patti F 

PROVIDER: S-EPMC10589648 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature