Rules of life in CO2-driven microbial communities: Microbiome engineering for a Net Zero future

Microbial communities (often called microbiomes) are everywhere; on our skin, in our gut, in the soil we rely on to grow our food, indeed in almost every habitable environment on the planet. Members of microbiomes interact with one another in myriad ways which we are only just beginning to appreciate, thanks largely to powerful new tools at our disposal. In this ambitious, multidisciplinary project, we bring together expertise to use these tools to unearth the 'rules of life' that govern the interactions between microbial community members, with the view to develop predictive approaches that can help us to understand and control microbiome function. Drawing on low diversity communities that inhabit geothermal springs, we will interrogate the metabolic, ecological and evolutionary interactions between community members that collectively govern the conversion of CO2 into value-added products. These products span primary metabolites that result from direct microbial growth (and hold value as platform chemicals for manufacturing industries and as biofuels), as well as secondary metabolites that are not directly liked to growth but that play ill-defined roles in microbial communities, and often harbour bioactive properties of high value to society (e.g. antibiotics, anticancers). We will use synthetic biology approaches to engineer the microbiome and its metabolic pathways of interest, both as a learning tool with which to test hypotheses on metabolite production and function, and as a means to augment the CO2 bioconversion capacity of the system for future biotechnological development. In parallel, we will apply ecological and metabolic modelling approaches to continue to generate hypotheses that can be tested with our model system, and which will be integrated into new predictive tools to accurately infer function from microbiome genomic data. Crucially, these approaches will work in tandem to help resolve the microbe-microbe interactions that drive this model system,...