Phenotypic systems biology for organisms: Concepts, methods and case studies.

Area of Science:

• * Physical biology and biophysics
• * Evolutionary biology and developmental biology

Background:

• * Understanding molecular systems (genes, proteins) is advanced, enabling cross-species application.
• * Phenotypic systems remain poorly understood, lacking a general framework.
• * Current research focuses on molecular mechanisms, neglecting emergent system-level properties of phenotypes.

Purpose of the Study:

• * To review concepts and methods for studying phenotypes as systems.
• * To propose a unifying framework for phenotypic traits.
• * To highlight future research directions in phenotypic biology.

Main Methods:

• * Review of existing literature on phenotypic traits and systems biology.
• * Introduction of the 'multi-component systems' framework for phenotypes.
• * Application of phylogenetic comparative methods to quantify trait evolution.

Main Results:

• * A unifying framework for phenotypic traits as multi-component systems is presented.
• * Methods for defining components and quantifying interactions within phenotypic systems are described.
• * Macro-evolutionary processes and mathematical tools for analyzing trait evolution are introduced.

Conclusions:

• * Phenotypic systems require a framework beyond molecular components.
• * Macro-evolutionary pathways and genotype-phenotype (GP) loops are crucial for future research.
• * This work aims to establish phenotypic systems as a major target in biophysics.