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Related Experiment Video

Updated: May 28, 2025

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Workflow Based on the Combination of Isotopic Tracer Experiments to Investigate Microbial Metabolism of Multiple Nutrient Sources

Published on: January 22, 2018

Overall biomass yield on multiple nutrient sources.

Ohad Golan^1,2, Olivia Gampp¹, Lina Eckert¹

¹Institute of Molecular Systems Biology, ETH Zürich, Zürich, Switzerland.

NPJ Systems Biology and Applications

|February 10, 2025

Summary

This summary is machine-generated.

Microbial growth models were extended to account for multiple nutrients. Unexpectedly, nutrient interactions influence biomass production, not just their presence but also their ratios.

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Area of Science:

Microbiology
Biochemical Engineering
Systems Biology

Background:

Microorganisms use nutrients for biomass and replication, often modeled linearly with single sources.
Natural environments feature multiple nutrients, complicating simple linear growth models.
Existing models don't fully capture complex nutrient co-utilization and its impact on microbial growth.

Purpose of the Study:

To extend the "black box" microbial growth model to incorporate multiple nutrient sources.
To quantify the co-utilization effects of multiple nutrients on microbial biomass production.
To investigate the mutual dependencies between nutrient utilization and biomass yield.

Main Methods:

Developed an extended "black box" model differentiating degradable and non-degradable nutrients.
Incorporated phenomenological interactions between metabolic processes (catabolism, anabolism, biosynthesis).
Experimentally validated model predictions using Escherichia coli under various nutrient conditions.

Main Results:

Experimental data showed nutrients mutually affect each other's utilization, deviating from simple linear predictions.
The extended model accurately captured these mutual effects and predicted biomass dependency on nutrient ratios.
The model identified specific metabolic processes influenced by different nutrient combinations.

Conclusions:

Microbial biomass production is influenced by the interplay and relative amounts of multiple nutrient sources.
The extended "black box" model provides a framework for understanding nutrient co-utilization in microbial systems.
This research offers insights into microbial metabolic coordination and optimizes biomass yield predictions.