The quantitative metabolome is shaped by abiotic constraints

Area of Science:

• Biochemistry
• Theoretical Biology
• Evolutionary Biology

Background:

• Living systems interact with the inorganic world under fundamental physico-chemical principles.
• Understanding these interactions is key to defining the boundaries of life's biochemical possibilities.

Purpose of the Study:

• To formulate and apply a set of abiotic constraints to quantitatively define possible metabolomes.
• To investigate the role of these constraints in the evolution of metabolic networks and cellular responses.

Main Methods:

• Development of ten governing abiotic constraints based on physico-chemical principles.
• Application of these constraints to the metabolic network of Escherichia coli.
• Validation using metabolomic and isotope-labeling data.

Main Results:

• Abiotic constraints are consistent with experimental data for Escherichia coli.
• Constraints drive the evolution of high-affinity phosphate transporters.
• Specific constraints explain transcriptional responses to osmotic and acid stress.

Conclusions:

• Quantifying abiotic constraints offers fundamental insights into theoretical biology and evolution.
• These constraints are crucial for understanding life's characteristics and evolutionary adaptations.
• Abiotic factors provide a framework for predicting metabolic network evolution.