Genome Sequence of Clostridium sp. Strain P21, a CO-Fermenting Acetogen Isolated from Old Hay.
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ABSTRACT:
SUBMITTER: Doyle DA
PROVIDER: S-EPMC7975882 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:Microbes able to convert gaseous one-carbon (C1) waste feedstocks are increasingly important to transition to the sustainable production of renewable chemicals and fuels. Acetogens are interesting biocatalysts since gas fermentation using Clostridium autoethanogenum has been commercialised. However, most acetogen strains need complex nutrients, display slow growth, and are not robust for bioreactor fermentations. In this work, we used three different and independent adaptive laboratory evolution (ALE) strategies to evolve the wild-type C. autoethanogenum to grow faster, without yeast extract and to be robust in operating continuous bioreactor cultures. Multiple evolved strains with improved phenotypes were isolated on minimal media with one strain, named “LAbrini”, exhibiting superior performance regarding the maximum specific growth rate, product profile, and robustness in continuous cultures. Whole-genome sequencing of the evolved strains identified 25 mutations. Of particular interest are two genes that acquired seven different mutations across the three ALE strategies, potentially as a result of convergent evolution. Reverse genetic engineering of mutations in potentially sporulation-related genes CLAU_3129 (spo0A) and CLAU_1957 recovered all three superior features of our ALE strains through triggering significant proteomic rearrangements. This work provides a robust C. autoethanogenum strain “LAbrini” to accelerate phenotyping and genetic engineering and to better understand acetogen metabolism.
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Project description:Microbes that can recycle one-carbon (C1) greenhouse gases into fuels and chemicals are vital for the biosustainability of future industries. Acetogens are the most efficient known microbes for fixing carbon oxides CO2 and CO. Understanding proteome allocation is important for metabolic engineering as it dictates metabolic fitness. Here, we use absolute proteomics to quantify intracellular concentrations for >1,000 proteins in the model-acetogen Clostridium autoethanogenum grown on three gas mixtures. We detect prioritisation of proteome allocation for C1 fixation and significant expression of proteins involved in the production of acetate and ethanol as well as proteins with unclear functions. The data also revealed which isoenzymes are important. Integration of proteomic and metabolic flux data demonstrated that enzymes catalyse high fluxes with high concentrations and high in vivo catalytic rates. We show that flux throughput was dominantly controlled through enzyme catalytic rates rather than concentrations. Our work serves as a reference dataset and advances systems-level understanding and engineering of acetogens.
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Project description:Living biological systems display a fascinating ability to self-organise their metabolism. This ability ultimately determines metabolic robustness that is fundamental to control cellular behaviour. However, fluctuations in metabolism can affect cellular homeostasis through transient oscillations. For example, yeast cultures exhibit rhythmic oscillatory behaviour in high-cell density continuous cultures. Oscillatory behaviour provides a unique opportunity for quantitating the robustness of metabolism, as cells respond to changes by inherently compromising metabolic efficiency. Here, we quantify the limits of metabolic robustness in self-oscillating autotrophic continuous cultures of the gas-fermenting acetogen Clostridium autoethanogenum. On-line gas analysis and high-resolution temporal metabolomics showed oscillations in gas uptake rates and extracellular by-products synchronised with biomass levels. Loss of H2 uptake makes CO the sole carbon and energy source until cells recover uptake of H2 in synchrony with increasing biomass levels. Intriguingly, oscillations are not linked to translational control as no differences were observed in protein expression during oscillations. However, intracellular metabolomics analysis revealed decreasing levels of redox ratios in perfect synchrony with the cycles. Therefore, we developed a thermodynamic metabolic flux analysis (tMFA) model to investigate if regulation in acetogens is controlled at the thermodynamic level. The data shows that the feasible range for the thermodynamic driving force of the Nfn transhydrogenase complex (i.e. NADH/NAD+×NADP+/NADPH) closely matched the experimentally observed range. The data indicate that metabolic oscillations in gas fermentation acetogens are controlled at the thermodynamic level. Our work suggests thermodynamic control of metabolism, potentially contributing to metabolic efficiency and working as a mean of energy conservation.
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