Plant multiscale networks: charting plant connectivity by multi-level analysis and imaging techniques

Area of Science:

• Plant Science
• Systems Biology
• Network Analysis

Background:

• Biological systems exhibit complex, interconnected networks at multiple scales, crucial for homeostasis and adaptation.
• Systems biology and network analysis are vital tools for understanding these complex biological networks.
• Network analysis has been applied to study mammalian brains and is increasingly used in plant science.

Purpose of the Study:

• To review the theoretical framework of plant multiscale networks.
• To introduce studies investigating plant networks using diverse experimental and computational methods.
• To discuss current analytical methodologies and imaging techniques for mapping plant multiscale networks.

Main Methods:

• Review of existing literature on plant multiscale networks.
• Discussion of experimental and computational modalities for network investigation.
• Analysis of multi-level imaging techniques and analytical methodologies.

Main Results:

• Plant components are interconnected across molecular, subcellular, cellular, organic, and organismal levels.
• Network analysis aids in understanding how genotype influences phenotype in plants.
• Various experimental and computational approaches are available for studying plant networks.

Conclusions:

• Mapping plant multiscale networks is essential for understanding genotype-phenotype relationships.
• Current analytical and imaging techniques provide insights into plant network connectivity.
• Significant technical challenges and open questions remain in this emerging field.