Genome-resolved correlation mapping links microbial community structure to metabolic interactions driving methane production from wastewater

Brandon Kieft, Niko Finke, Ryan J. McLaughlin, Aditi N. Nallan, Martin Krzywinski, Sean A. Crowe and Steven J. Hallam ()
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Brandon Kieft: University of British Columbia
Niko Finke: University of British Columbia
Ryan J. McLaughlin: University of British Columbia
Aditi N. Nallan: University of British Columbia
Martin Krzywinski: BC Cancer Agency
Sean A. Crowe: University of British Columbia
Steven J. Hallam: University of British Columbia

Nature Communications, 2023, vol. 14, issue 1, 1-13

Abstract: Abstract Anaerobic digestion of municipal mixed sludge produces methane that can be converted into renewable natural gas. To improve economics of this microbial mediated process, metabolic interactions catalyzing biomass conversion to energy need to be identified. Here, we present a two-year time series associating microbial metabolism and physicochemistry in a full-scale wastewater treatment plant. By creating a co-occurrence network with thousands of time-resolved microbial populations from over 100 samples spanning four operating configurations, known and novel microbial consortia with potential to drive methane production were identified. Interactions between these populations were further resolved in relation to specific process configurations by mapping metagenome assembled genomes and cognate gene expression data onto the network. Prominent interactions included transcriptionally active Methanolinea methanogens and syntrophic benzoate oxidizing Syntrophorhabdus, as well as a Methanoregulaceae population and putative syntrophic acetate oxidizing bacteria affiliated with Bateroidetes (Tenuifilaceae) expressing the glycine cleavage bypass of the Wood–Ljungdahl pathway.

Date: 2023
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DOI: 10.1038/s41467-023-40907-5

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