Dataset reveals microbial communities and contamination levels from bioreactors treating synthetic dairy wastewater, indicating their potential in wastewater treatment applications.
This dataset describes metagenome-assembled genomes from three lab-scale (4L) expanded granular sludge bed bioreactors treating synthetic dairy wastewater. The resulting MAGs encompass 60 phyla with average genome completeness of 78.68% and average contamination of 2.29%. These genomes represent a valuable resource for studying anaerobic bioreactors used in wastewater treatment.
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Mills et al. (2025) studied this question.
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