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Project

Finding highly productive hydrogen-oxidizing synthetic communities through isolation, combination and prediction.

Hydrogen-oxidizing bacteria are organisms that use hydrogen, oxygen, carbon dioxide and ammonia to produce biomass, among which high-quality protein. Microbial consortia are made in this project, starting from autotrophic hydrogen-oxidizers and their heterotrophic commensals to maximize production of biomass. This process is aided by predictive modelling that will give insights in the mechanisms behind high productivity.

Date:1 Jan 2020 →  31 Dec 2021
Keywords:heterotrophic, valorisation, autotrophic, hydrogen oxidising bacteria, reactor, flux balance analysis, satellite, predictive, transcriptomics, Collaborome, single cell protein, model, core, high-throughput, microbiome, in vitro synthetic community
Disciplines:Community ecology, Computational biomodelling and machine learning, Microbiomes