Back to the future: evolution of computational models in plant morphogenesis

Area of Science:

• Plant biology
• Computational modeling
• Systems biology

Background:

• Plant biology research increasingly integrates experimental data with computational modeling.
• A wide range of theoretical models exist, varying in their foundational principles and organizational levels.

Purpose of the Study:

• To categorize diverse theoretical models used in plant biology.
• To emphasize the importance of selecting appropriate modeling approaches based on research questions.
• To explore the potential of combining different modeling strategies for deeper insights.

Main Methods:

• Categorization of theoretical models based on fundamental principles (biophysical vs. heuristic).
• Analysis of models focusing on various biological organization levels (e.g., molecular, cellular, tissue, whole plant).
• Review of recent studies exemplifying the application of diverse modeling approaches.

Main Results:

• Theoretical models in plant biology span a spectrum from biophysical to heuristic principles.
• Models can operate at different levels of biological organization, offering varied perspectives.
• Combining different modeling approaches can yield complementary insights and robust conclusions.

Conclusions:

• Tailoring computational modeling strategies to specific plant biology questions is crucial for effective research.
• The integration of diverse modeling techniques, including multilevel models, promises significant advancements in understanding plant development.
• Future research should focus on synergistic combinations of modeling approaches to address complex biological questions.