Matching metabolic supply to demand optimizes microbial growth

Area of Science:

• Microbial physiology
• Biophysics
• Evolutionary biology

Background:

• Microbes are thought to allocate resources to maximize growth rate (λ).
• Laboratory evolution experiments show microbes can achieve substantially faster growth than predicted by current models.
• This discrepancy suggests limitations in existing resource-allocation theories.

Purpose of the Study:

• To resolve the paradox between theoretical growth rate maximization and observed faster growth after laboratory evolution.
• To propose a new resource-allocation model for microbial growth.
• To provide a framework for understanding microbial adaptation and optimization.

Main Methods:

• Derivation of a resource-allocation model from first principles.
• Theoretical modeling of microbial biosynthesis and growth.
• Analysis of microbial growth limitations.

Main Results:

• The model explains how microbes can increase growth rate after laboratory evolution.
• It identifies key trade-offs in resource allocation that limit growth.
• The model provides a quantitative framework for predicting microbial growth potential.

Conclusions:

• Microbial growth rate is constrained by resource allocation trade-offs.
• Laboratory evolution allows microbes to overcome these constraints, leading to faster growth.
• The developed model offers a more comprehensive understanding of microbial growth dynamics.