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Mikaël Lucas1

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Summary

This chapter introduces plant systems biology, exploring biological interactions from genes to populations. It highlights mathematical and computational models used to understand complex networks and emergent behaviors in plants.

Keywords:
Functional–structural plant modelsGene networksGraphMultiscale modelsPlant biologySystems biologyTeachingTissue models

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Area of Science:

  • Plant biology
  • Systems biology
  • Computational biology

Background:

  • Biological systems involve complex interactions across multiple scales, from genes to populations.
  • These interactions form intricate feedback networks that drive emergent behaviors.
  • Mathematical and computational models are crucial for studying these complex biological systems.

Purpose of the Study:

  • To provide an overview of plant systems biology from a teaching perspective.
  • To introduce the methods and studies featured in the "Plant Systems Biology" book series, second edition.
  • To bridge the gap between theoretical work and practical application in plant systems biology.

Main Methods:

  • Utilizing mathematical and computational formalisms.
  • Leveraging existing theoretical work in systems biology.
  • Presenting case studies and methodologies within a pedagogical framework.

Main Results:

  • An accessible overview of plant systems biology principles and applications.
  • Introduction to a range of methods for modeling plant biological networks.
  • A curated selection of studies demonstrating the power of systems biology in plant science.

Conclusions:

  • Plant systems biology offers a powerful framework for understanding complex plant organisms.
  • The integration of computational and mathematical approaches is essential for advancing plant science.
  • This work serves as a valuable resource for students and researchers in the field.