Anaerobic digestion (AD) systems produce methane-rich biogas, which can be upgraded and distributed within the existing energy grid. Despite the widespread adoption of AD for waste management and bioenergy generation, the microbial networks driving methane production from organic matter remain poorly constrained, limiting our capacity to predict impacts of process perturbations. Here, we will combine stable isotope and amino acid tracers with genomic sequencing to determine “who is doing what” in AD, with the overall aim of improving biofuel production efficiency from renewable biomass.
Proposer: Ryan Ziels, University of British Columbia (Canada)
Proposal: Mapping methanogenic metabolic networks in full-scale bioenergy facilities using functionally-targeted multi-omics