Acetogens are promising cell factories for producing fuels and chemicals from waste feedstocks via gas fermentation, but quantitative characterization of carbon, energy, and redox metabolism is required to guide their rational metabolic engineering. Here, we explore acetogen gas fermentation using physiological, metabolomics, and transcriptomics data for Clostridium autoethanogenum steady-state chemostat cultures grown on syngas at various gas-liquid mass transfer rates. We observe that C. autoethanogenum shifts from acetate to ethanol production to maintain ATP homeostasis at higher biomass concentrations but reaches a limit at a molar acetate/ethanol ratio of ∼1. This regulatory mechanism eventually leads to depletion of the intracellular acetyl-CoA pool and collapse of metabolism. We accurately predict growth phenotypes using a genome-scale metabolic model. Modeling revealed that the methylene-THF reductase reaction was ferredoxin reducing. This work provides a reference dataset to advance the understanding and engineering of arguably the first carbon fixation pathway on Earth.

Commercial enzymatic processes require robust catalysts able to withstand elevated temperatures and long incubations, conditions under which most native enzymes perform poorly. Incremental increases in thermostability can be achieved by repeated rounds of mutagenesis and screening, but general strategies are needed for designing highly thermostable enzymes a priori. Here we show that enzymes can be created that can withstand temperatures ~ 30 °C higher and incubations ≥ 100 times longer than extant forms in a single step using ancestral reconstruction. We exemplify the approach with the first ancestral resurrections of two unrelated enzyme families: cytochrome P450 monooxygenases, that stereo-and regioselectively functionalize un-activated C-H bonds in pharmaceutical, flavour, fragrance and other fine chemical syntheses; and ketol acid reductoisomerases, used to make butanol-based biofuels. This shows thermostability can be designed into proteins using sequence data alone, potentially enhancing the economic feasibility of any process or product requiring a highly stable protein.

Insight into energy metabolism of gas-fermenting acetogens using a systems level approach for sustainable production of fuels and chemicals.