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Area of Science:

  • Microbial ecology
  • Biogeochemistry
  • Computational biology

Background:

  • Soil microbial respiration is a major global carbon flux.
  • Understanding microbial metabolism controls is crucial for predicting carbon cycle responses to global change.

Purpose of the Study:

  • To predict bacterial carbon-use efficiency (CUE) for over 200 species using computational metabolic modeling.
  • To investigate the relationship between genome size, substrate access, and CUE in soil bacteria.
  • To assess the impact of microbial physiological diversity on soil carbon cycling.

Main Methods:

  • Genome-specific constraint-based metabolic modeling was employed in silico.
  • Over 200 bacterial species' metabolic potential was analyzed.
  • Phylogenetic structuring and correlations with genome size were examined.

Main Results:

  • Potential bacterial CUE averages 0.62 ± 0.17, with a broad range (0.22–0.98).
  • Phylogenetic structuring was observed at subphylum levels.
  • Potential CUE negatively correlates with genome size; larger genomes grant access to more carbon substrates.

Conclusions:

  • Interspecific variation in bacterial CUE is substantial and phylogenetically structured.
  • Genome size influences carbon substrate utilization and CUE.
  • Accounting for diverse microbial physiology is essential for accurate soil carbon cycle modeling and predicting global change impacts.