Proteomics

Dataset Information

0

Absolute proteome quantification in the gas-fermenting acetogen Clostridium autoethanogenum


ABSTRACT: 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.

INSTRUMENT(S): Q Exactive HF-X

ORGANISM(S): Clostridium Autoethanogenum

TISSUE(S): Prokaryotic Cell

SUBMITTER: Kaspar Valgepea  

LAB HEAD: Esteban Marcellin

PROVIDER: PXD025732 | Pride | 2022-05-22

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
APQ_spectral_library.pdResult Other
Abs_quant_study.blib Other
CO_BR1.raw Raw
CO_BR2.raw Raw
CO_BR3.raw Raw
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