Microbial reaction rate estimation using proteins and proteomes

Area of Science:

• Microbiology
• Biochemistry
• Proteomics

Background:

• Microbes drive environmental transformations via enzymatic reactions.
• Quantifying microbial reaction rates in situ remains a significant challenge.
• The link between enzyme abundance and reaction rate is not well understood.

Purpose of the Study:

• To investigate the predictive power of enzyme abundance for microbial reaction rates.
• To determine if global proteomic measurements can accurately estimate individual reaction rates.
• To assess the necessity of mechanistic knowledge or environmental context for rate prediction.

Main Methods:

• Collected matched proteomic and reaction rate data from microbial cultures.
• Analyzed the correlation between enzyme abundance and specific reaction rates.
• Evaluated the accuracy of rate predictions using global proteomic data.

Main Results:

• Enzyme abundance alone is often insufficient to predict reaction rates.
• Global proteomic measurements accurately predicted individual reaction rates (median R² = 0.78).
• Accurate predictions required minimal proteins and no prior mechanistic or environmental data.

Conclusions:

• Proteomes serve as effective encoders of cellular reaction rates.
• In situ proteomic measurements can estimate microbially mediated reaction rates in natural environments.
• This approach offers a novel way to study microbial activity in ecosystems.