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Updated: Jun 5, 2025

Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
Published on: December 29, 2013
Viral diversity and host associations in microbial electrolysis cells
Marie Abadikhah1, Frank Persson1, Anne Farewell2
1Division of Water Environment Technology, Department of Architecture and Civil Engineering, Chalmers University of Technology, Sven Hultins gata 6, SE-412 96 Gothenburg, Sweden.
Microbial electrolysis cells (MECs) host diverse phage communities that interact with key bacteria and archaea. This study reveals prophages within dominant anode and cathode microbes, highlighting phage roles in MEC function.
Area of Science:
- Microbiology
- Environmental Science
- Bioengineering
Background:
- Microbial electrolysis cells (MECs) are crucial for energy conversion, relying on microbial communities.
- Phages, viruses that infect microbes, are known to interact with bacteria and archaea.
- The role and diversity of phage communities within MECs have not been previously investigated.
Purpose of the Study:
- To characterize the prokaryotic and phage communities in MECs.
- To investigate the interactions between phages and functional microorganisms in MECs.
- To determine the prevalence of prophages in dominant MEC microbial populations.
Main Methods:
- Metagenomic sequencing was employed to analyze prokaryotes and phages.
- Prokaryotic draft genomes and phage contigs were assembled.
- Prophage carriage and CRISPR spacers were analyzed to infer phage-host interactions.
Main Results:
- A substantial diversity of prokaryotic (278 species) and phage (873 species) communities was identified.
- 55% of high-quality prokaryotic genomes contained prophages.
- Specific phage families (e.g., Peduoviridae, Straboviridae) showed associations with dominant anode and cathode microbes.
Conclusions:
- MECs harbor diverse and active phage communities.
- Phages interact with key functional prokaryotes at both the anode and cathode.
- Understanding these phage-microbe interactions is essential for optimizing MEC performance.
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