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Electro-fermentation triggering population selection in mixed-culture glycerol fermentation
Roman Moscoviz1, Eric Trably1, Nicolas Bernet1
1LBE, INRA, 102 Avenue des étangs, 11100, Narbonne, France.
Microbial Biotechnology
|July 12, 2017
Summary
Electro-fermentation influences microbial communities and metabolism in glycerol fermentation. This novel technique enhances 1,3-propanediol production by 10% through bacterial population shifts, not individual metabolic changes.
Area of Science:
- Biotechnology
- Microbial Metabolism
- Electrochemistry
Background:
- Mixed-culture fermentation is crucial for industrial bioprocesses.
- Electro-fermentation offers a novel approach to modulate microbial metabolism.
- Glycerol fermentation presents opportunities for valuable chemical production.
Purpose of the Study:
- To investigate mixed-culture cathodic electro-fermentation of glycerol.
- To analyze the impact of electro-fermentation on microbial community structure and metabolic patterns.
- To evaluate the efficiency of electro-fermentation for 1,3-propanediol production.
Main Methods:
- Conducting mixed-culture cathodic electro-fermentation of glycerol.
- Utilizing Geobacter sulfurreducens pre-colonized electrodes.
- Analyzing microbial community structure and metabolic profiles.
- Developing a linear model to assess metabolic patterns of operational taxonomic units.
Main Results:
- Electro-fermentation significantly altered microbial community structure and metabolic patterns compared to standard fermentation.
- Pre-colonization with Geobacter sulfurreducens amplified these shifts.
- 1,3-propanediol yield increased by 10% under electro-fermentation conditions.
- Metabolic changes were attributed to bacterial population selection rather than individual metabolic shifts.
Conclusions:
- Electro-fermentation is an effective method to influence both fermentation patterns and bacterial community composition.
- This technique enhances the production of valuable compounds like 1,3-propanediol with minimal energy input.
- The findings provide insights into microbial community dynamics and metabolic engineering strategies.

