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Towards modelling emergence in plant systems.

Melissa Tomkins1

  • 1Computational and Systems Biology, John Innes Centre, Norwich, United Kingdom.

Quantitative Plant Biology
|July 17, 2023
PubMed
Summary

Understanding emergent properties in plants requires computational tools. This perspective explores multiscale modeling approaches to capture complex plant behaviors and interactions across different scales.

Area of Science:

  • Plant biology
  • Computational modeling
  • Systems biology

Background:

  • Plants are intricate systems with interacting architectural and cellular components.
  • Emergent properties arise from these interactions, influencing plant behavior and development across scales.
  • Current understanding of plant growth necessitates advanced computational tools for multiscale analysis.

Purpose of the Study:

  • To explore current computational approaches for modeling emergent behavior in plants.
  • To highlight the need for multiscale modeling in understanding plant systems.
  • To discuss the potential of future tools in predicting emergent plant properties.

Main Methods:

  • Review of existing computational and modeling strategies for plant systems.
Keywords:
complex systemsemergenceplant modelling

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  • Focus on methods integrating models across different spatial and temporal scales.
  • Analysis of tools capable of handling complex interactions and multiscale data.
  • Main Results:

    • Few existing methods effectively integrate models across scales or predict novel emergent properties.
    • Current tools face challenges in handling the complexity of multiscale plant systems.
    • There is a gap in predictive modeling for emergent plant behaviors.

    Conclusions:

    • Advanced computational tools are crucial for understanding plant growth and development.
    • Multiscale modeling approaches are essential for capturing emergent plant properties.
    • Future research should focus on developing integrated, predictive models for plant systems.