Microbiomes in bioenergy production: from analysis to management

Area of Science:

• Microbiology
• Bioenergy Production
• Process Engineering

Background:

• Bioreactors for bioenergy production rely on microbiomes but are often managed using limited data and expert knowledge.
• Microbiome composition and function in bioreactors are typically analyzed only after process failures, hindering proactive management.
• Current sophisticated molecular ecology methods are often impractical for routine, on-site bioreactor microbiome analysis.

Purpose of the Study:

• To analyze the requirements for routine microbiome diagnostics in bioreactors for bioenergy production.
• To evaluate the capability of current methods in establishing structure-function relationships between microbial communities and reactor performance.
• To define key criteria for effective routine on-site monitoring of bioreactor microbiomes.

Main Methods:

• Review and analysis of existing molecular and cell-based methods for microbiome diagnostics.
• Emphasis on methods capable of correlating microbial community structure and dynamics with reactor performance.
• Critical assessment of selected methods for monitoring microbiomes in anaerobic digesters (biogas production) and n-butyrate production.

Main Results:

• Identified limitations of current methods for routine, on-site microbiome analysis in bioenergy bioreactors.
• Defined essential criteria for diagnostic methods to enable proactive process management.
• Highlighted the importance of structure-function relationship analysis for optimizing bioreactor performance.

Conclusions:

• There is a need for accessible, routine methods for on-site microbiome diagnostics in bioenergy bioreactors.
• Establishing structure-function relationships is key to moving beyond retrospective analysis and enabling proactive process control.
• Selected methods were critically assessed for their suitability in monitoring biogas and n-butyrate production systems.