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Modeling the organization of the WUSCHEL expression domain in the shoot apical meristem

På svenska

Author

  • Henrik Jönsson
  • M Heisler
  • GV Reddy
  • V Agrawal
  • V Gor
  • BE Shapiro
  • E Mjolsness
  • EM Meyerowitz

Summary, in English

Motivation: The above-ground tissues of higher plants are generated from a small region of cells situated at the plant apex called the shoot apical meristem. An important genetic control circuit modulating the size of the Arabidopsis thaliana meristem is a feed-back network between the CLAVATA3 and WUSCHEL genes. Although the expression patterns for these genes do not overlap, WUSCHEL activity is both necessary and sufficient (when expressed ectopically) for the induction of CLAVATA3 expression. However, upregulation of CLAVATA3 in conjunction with the receptor kinase CLAVATA1 results in the downregulation of WUSCHEL. Despite much work, experimental data for this network are incomplete and additional hypotheses are needed to explain the spatial locations and dynamics of these expression domains. Predictive mathematical models describing the system should provide a useful tool for investigating and discriminating among possible hypotheses, by determining which hypotheses best explain observed gene expression dynamics. Results: We are developing a method using in vivo live confocal microscopy to capture quantitative gene expression data and create templates for computational models. We present two models accounting for the organization of the WUSCHEL expression domain. Our preferred model uses a reaction-diffusion mechanism in which an activator induces WUSCHEL expression. This model is able to organize the WUSCHEL expression domain. In addition, the model predicts the dynamical reorganization seen in experiments where cells, including the WUSCHEL domain, are ablated, and it also predicts the spatial expansion of the WUSCHEL domain resulting from removal of the CLAVATA3 signal.

Publishing year

2005

Language

English

Pages

232-240

Publication/Series

Bioinformatics

Volume

21

Issue

Suppl 1

Document type

Journal article

Publisher

Oxford University Press

Topic

  • Bioinformatics and Systems Biology

Status

Published

ISBN/ISSN/Other

  • ISSN: 1367-4803