Feedback and integration of information are of paramount importance for the robust functioning and dynamics of biological systems. In plant developmental biology, experimentation is increasingly combined with computational modeling to obtain a better understanding of how such regulatory interactions shape the systems' behavior. Here we highlight experimental and modeling studies on feedback loops and integration mechanisms involved in plant development. These studies have substantially expanded our understanding of previously characterized gene regulatory networks (GRNs). In addition, they illustrate the pervasiveness of regulatory interactions between seemingly unrelated processes and levels of organization. Modelers in plant development will increasingly face the challenges of what level of detail, which processes and how many levels of organization to incorporate when trying to understand a particular process.
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