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Related Experiment Videos

Method for Assessing Heterogeneity in Turnover Rates within Microbial Communities.

E A Laws1, D Jones, D M Karl

  • 1Department of Oceanography, University of Hawaii, Honolulu, Hawaii, 96822, and Hawaii Institute of Marine Biology, Coconut Island, Kaneohe, Hawaii, 96744.

Applied and Environmental Microbiology
|October 1, 1986
PubMed
Summary

This study introduces a new method to measure microbial adenine nucleotide (AN) turnover rates and their variability. The technique can detect significant differences in AN turnover within microbial communities, particularly in environmental samples.

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Area of Science:

  • Microbiology
  • Biochemistry
  • Environmental Science

Background:

  • Understanding microbial community dynamics is crucial for ecological studies.
  • The adenine nucleotide (AN) pool is central to cellular energy metabolism.
  • Assessing the uniformity of metabolic rates within microbial populations provides insights into community function.

Purpose of the Study:

  • To present a novel method for quantifying the average turnover rate and its standard deviation for the adenine nucleotide (AN) pool in microorganisms.
  • To establish the sensitivity of the method in detecting non-uniform turnover rates.
  • To apply the method to analyze AN turnover in diverse environmental microbial communities.

Main Methods:

  • Calculating the initial slope and curvature of a plot of AN specific activity versus time after introducing [3H]adenine.

Related Experiment Videos

  • Analyzing noise-corrupted data to determine the method's detection limits for turnover rate variability.
  • Applying the method to microbial communities from marine sediment, freshwater pond, and seawater samples.

    • Main Results:

    • The method can detect non-uniformity in turnover rates when the coefficient of variation exceeds 39%.
    • Significant non-uniformity in AN turnover rates was observed in microbial communities from a marine sediment sample and a freshwater pond.
    • No significant non-uniformity was detected in microbial communities from a seawater sample and a second freshwater pond.

    Conclusions:

    • The developed method reliably quantifies AN pool turnover rates and their variability in microbial populations.
    • Environmental microbial communities can exhibit significant heterogeneity in their metabolic turnover rates.
    • The method is broadly applicable to studying the turnover of other intracellular pools with suitable radioactive precursors.