Microbial inefficient substrate use through the perspective of resource allocation models.

Area of Science:

• Microbial metabolism and biotechnology
• Systems biology and metabolic modeling

Background:

• Microorganisms exhibit energy extraction strategies that appear suboptimal, challenging traditional yield-rate trade-off concepts.
• Resource allocation models provide a framework to understand how cells manage limited enzyme capacity for diverse metabolic functions.
• Inefficient substrate utilization in microorganisms, especially in open mixed cultures, requires mechanistic interpretation.

Purpose of the Study:

• To review examples of inefficient substrate conversion by microorganisms and interpret them using resource allocation models.
• To identify future research directions for resource allocation models, focusing on metabolic flexibility and prediction capabilities.
• To highlight the significance of resource allocation for developing advanced biorefinery platforms, such as lactate-based systems.

Main Methods:

• Review of existing literature on microbial substrate conversion and energy metabolism.
• Application of resource allocation modeling principles to explain observed metabolic inefficiencies.
• Analysis of case studies, particularly focusing on open mixed microbial cultures.

Main Results:

• Resource allocation models offer a mechanistic explanation for the apparent suboptimal energy and substrate use by microorganisms.
• These models can interpret inefficient energy utilization in various substrate conversion processes.
• The models are particularly relevant for understanding microbial communities in open, mixed culture systems.

Conclusions:

• Resource allocation models are crucial for understanding microbial metabolic strategies and inefficiencies.
• Future model development should incorporate metabolic flexibility to adapt to environmental uncertainties.
• This approach is key to advancing biorefinery technologies, enabling more flexible waste-to-chemical conversion pathways.