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Resource-allocation constraint governs structure and function of microbial communities in metabolic modeling
Minsuk Kim1, Jaeyun Sung2, Nicholas Chia1
1Microbiome Program, Center for Individualized Medicine, Mayo Clinic, Rochester, MN, 55905, USA; Division of Surgical Research, Department of Surgery, Mayo Clinic, Rochester, MN, 55905, USA.
Metabolic Engineering
|January 6, 2022
Summary
Resource-allocation constraints are essential for accurate microbial community modeling. Incorporating these global constraints improves predictions of microbial community structure and function across various fields.
Area of Science:
- Microbial Ecology
- Computational Biology
- Systems Biology
Background:
- Microbial communities are crucial in agriculture, ecology, and medicine.
- Constraint-based community-scale metabolic modeling offers mechanistic predictions of microbial community structure and function.
- Current models often lack global ecological constraints, limiting predictive power.
Purpose of the Study:
- To investigate the impact of resource-allocation constraints on community-scale metabolic modeling.
- To demonstrate the necessity of resource-allocation constraints for accurate microbial community predictions.
Main Methods:
- Implemented a mechanism-agnostic resource-allocation constraint at the flux level.
- Conducted single-, two-, and multi-species growth simulations.
Main Results:
- Resource-allocation constraints are indispensable for predicting microbial community structure and function.
- The implementation demonstrated the critical role of these constraints in metabolic modeling.
Conclusions:
- Resource-allocation constraints are vital for advancing community-scale metabolic modeling.
- A scalable workflow for mechanistic resource-allocation constraints is needed to unlock the full potential of these tools.
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