Higher order interaction effects among operating conditions and feedstocks shape reactor microbiomes and fatty acid production profiles
Project GoalTo systematically evaluate how the interactions between pH, temperature, feedstock type, and inoculum source shape microbial community composition and the metabolic shift toward fatty acid production.Project DescriptionThis dataset contains 16S rRNA gene sequencing data and associated metadata from a series of controlled arrested anaerobic digestion experiments. The study involved investigation of the microbiome dynamics of reactors treated across a multi-variable matrix: three pH levels, temperatures, and feedstocks. A key focus of the project is comparing the performance and community assembly of traditional anaerobic digester sludge against a novel bison rumen inoculum. The data aims to elucidate the higher-order interactions of these variables and their role in driving lactic acid-driven chain elongation pathways for waste valorization