The general aim of Virtual Plants is to design a computational approach of plant development to better understand the complex interaction of physical, physiological and genetic mechanisms that control plant morphogenesis. To address this question, we aim to build up an integrated picture of meristem development at diﬀerent spatial and temporal scales by bringing together knowledge coming from plant architecture at macroscopic scales and from developmental biology at cellular and molecular scales. This is carried out by developing a research programme that integrates mathematical, computer science and biological perspectives at complementary scales, from cellular to whole plant scale.
Research Axis 1 : Analysis of structures produced by meristems
At a macroscopic level, recent progresses in phenotyping of plant structure and development (automation, high-thoughput data, new 3D sensors, etc.) require the conception of new methodological pipelines from sensor outputs to pattern modeling. Our general aim is to infer meristem functioningfrom the complex structures they produce over time. This analysis is carried out at different spatial and temporal scales.
Research Axis 2 : Regulation of meristem morphogenesis
At a microscopic level, we intend to exploit the recent spectacular scientific and technological progresses in developmental biology and genetics in order to understand how the genetic, biophysical and physiological processes control morphogenesis at meristem level.
Software platform for plant modeling
The team develops a modular and open-source software platform, OpenAleaLab, that integrates various components to model and simulate plant development. OpenAleaLab is a component-based platform embedded in the programming language Python. It offers a plug-in mechanism that makes it possible to easily add and share new models and components.