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Future Challenges in Plant Systems Biology.

Mikaël Lucas1

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Plant systems biology faces challenges across molecular, tissue, and whole-plant scales. Advances in synthetic biology and machine learning offer future solutions for these complex biological systems.

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Area of Science:

  • Plant biology
  • Systems biology
  • Computational biology

Background:

  • Plant systems biology integrates various biological scales to understand plant life.
  • Current research faces significant hurdles at different organizational levels.

Purpose of the Study:

  • To review key challenges in plant systems biology.
  • To explore the potential of emerging technologies in addressing these challenges.

Main Methods:

  • Literature review of current challenges in plant systems biology.
  • Discussion of advancements in synthetic biology and machine learning.

Main Results:

  • Identified challenges at the molecular, tissue, and whole-plant levels.
  • Highlighted the potential of synthetic biology and machine learning to overcome these challenges.

Conclusions:

  • Addressing multi-scale challenges is crucial for advancing plant systems biology.
  • Synthetic biology and machine learning are promising tools for future plant research.