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Medium Preparation for the Cultivation of Microorganisms under Strictly Anaerobic/Anoxic Conditions
Published on: August 15, 2019
Microbial community composition and methanogens' biodiversity during a temperature shift in a methane fermentation
Anna Banach1, Sławomir Ciesielski2, Tomasz Bacza1
1Environmental Biotechnology Department, Faculty of Power and Environmental Engineering, The Silesian University of Technology , Gliwice , Poland.
Shifting anaerobic digestion (AD) from mesophilic to thermophilic conditions altered methanogen communities but not bacterial composition. Thermophilic AD showed higher biogas yield and methane content.
Area of Science:
- Microbiology
- Environmental Science
- Biotechnology
Background:
- Understanding microbial community dynamics is crucial for optimizing anaerobic digestion (AD) processes.
- Temperature significantly influences microbial activity in bioreactors.
Purpose of the Study:
- To investigate the impact of shifting from mesophilic (38°C) to thermophilic (55°C) conditions on microbial and methanogen communities during biogas production.
- To correlate AD parameters with microbial community composition.
Main Methods:
- Metagenomic analysis using 16S rRNA gene sequencing for total microbial composition.
- Polymerase Chain Reaction-Denaturing Gradient Gel Electrophoresis (PCR-DGGE) of the mcrA gene for methanogen community analysis.
Main Results:
- No statistically significant differences in bacterial community composition were observed between mesophilic and thermophilic phases.
- The dominant bacterial phyla were Proteobacteria, Firmicutes, Actinobacteria, and Bacteroidetes.
- Methanogen community structure significantly changed under thermophilic conditions, with temperature impacting archaeal methanogens directly after the shift.
Conclusions:
- While bacterial communities remained stable, temperature shifts strongly influenced methanogen diversity in anaerobic digestion.
- Thermophilic conditions resulted in improved biogas yield and methane content, suggesting process optimization potential.
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