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The Collision Theory
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Updated: Mar 11, 2026

Temperature Response of Soil Organic Matter Decomposition Rates: Construction and Applications of a Temperature Gradient Block
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Temperature Sensitivity as a Microbial Trait Using Parameters from Macromolecular Rate Theory.

Charlotte J Alster1, Peter Baas2, Matthew D Wallenstein3

  • 1Department of Biology, Colorado State University, Fort CollinsCO, USA; Graduate Degree Program in Ecology, Colorado State University, Fort CollinsCO, USA.

Frontiers in Microbiology
|December 3, 2016
PubMed
Summary

Soil microbial enzyme temperature sensitivity varies by enzyme and microbe. Macromolecular Rate Theory (MMRT) offers a more accurate way to measure this, enabling enzymes to be used as microbial functional traits for predicting ecosystem changes.

Keywords:
MMRTQ10activation energyextracellular enzymesmacromolecular rate theorymicrobial isolatestemperature optimumtrait-based ecology

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Area of Science:

  • Soil science
  • Microbiology
  • Biogeochemistry

Background:

  • Soil microbial extracellular enzyme activity is temperature-dependent.
  • Understanding temperature sensitivity variation is crucial for predicting ecosystem responses to global change.
  • Incorporating enzyme traits can improve models of belowground nutrient dynamics.

Purpose of the Study:

  • To characterize how microbial taxonomic variation and substrate type influence enzyme temperature sensitivity.
  • To compare the efficacy of Arrhenius and Macromolecular Rate Theory (MMRT) models in describing enzyme temperature sensitivity.
  • To determine if enzyme temperature sensitivity can be used as a microbial functional trait.

Main Methods:

  • Measured activities of beta-glucosidase, leucine aminopeptidase, and phosphatase across six temperatures (4-60°C).
  • Tested seven different soil microbial isolates.
  • Calculated temperature sensitivity using both Arrhenius and MMRT models.

Main Results:

  • MMRT provided a more accurate fit for enzyme temperature sensitivity across all tested enzyme-isolate combinations.
  • Both enzyme type and microbial isolate type significantly explained variations in temperature sensitivity parameters.
  • Arrhenius model metrics were sensitive to the tested temperature range, yielding inconsistent results.

Conclusions:

  • Temperature sensitivity is an inherent, variable property of soil microbial enzymes.
  • MMRT is the preferred model for accurately interpreting soil microbial enzyme temperature sensitivity.
  • Enzyme temperature sensitivity, when defined by MMRT, can be integrated as a microbial functional trait for ecosystem modeling.