Redefining plant systems biology: from cell to ecosystem

Area of Science:

• Ecology and agricultural science
• Systems biology
• Plant sciences

Background:

• Traditional systems biology focuses on cellular levels, while ecology considers community interactions and resource flows.
• Modern plant breeding aims to boost agricultural productivity and reduce environmental impact.
• A holistic approach is needed to bridge different biological organization levels.

Purpose of the Study:

• To propose a systems biology framework for plant sciences that integrates multiple aggregation levels.
• To address the challenge of generating verifiable experimental data for in silico predictions.
• To enhance the development of novel plant phenotypes through integrated biological organization.

Main Methods:

• Defining biological systems across cellular and community levels.
• Coupling different aggregation levels in plant sciences.
• Integrating experimental data with computational modeling for in silico validation.

Main Results:

• The proposed approach, Integral Quantification of Biological Organization (IQ(BiO)), connects diverse biological scales.
• It facilitates the generation of accurate experimental data for model verification.
• It offers a pathway to experimentally validate in silico predictions.

Conclusions:

• Integral Quantification of Biological Organization (IQ(BiO)) is a novel framework for plant science.
• This integrated approach is crucial for achieving sustainable agriculture and desired plant phenotypes.
• Bridging biological organization levels enhances predictive power and breeding capabilities.