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Related Experiment Videos

Analysis of BIOLOG GN Substrate Utilization Patterns by Microbial Communities.

K Smalla1, U Wachtendorf, H Heuer

  • 1Biologische Bundesanstalt für Land- und Forstwirtschaft, D-38104 Braunschweig, Germany, and Center for Microbial Ecology and Department of Microbiology, Michigan State University, East Lansing, Michigan 48824.

Applied and Environmental Microbiology
|December 14, 2005
PubMed
Summary

BIOLOG GN plates assess microbial carbon source utilization, but may not reflect the full potential of the original microbial community. Fast-growing bacteria can dominate BIOLOG patterns, skewing results.

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Area of Science:

  • Microbiology
  • Molecular Biology
  • Environmental Science

Background:

  • BIOLOG GN plates are common tools for microbial community characterization.
  • These plates assess carbon source oxidation capabilities.
  • The accuracy of BIOLOG assays in reflecting true catabolic potential is questioned.

Purpose of the Study:

  • To determine if BIOLOG GN plate assays accurately represent the catabolic potential of microbial inocula.
  • To investigate which microbial populations influence BIOLOG patterns.
  • To compare microbial diversity in inocula versus BIOLOG wells.

Main Methods:

  • Utilized BIOLOG GN plates for carbon source utilization assays.
  • Employed denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE).

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  • Assessed 16S rRNA gene diversity in microbial communities from potato rhizosphere and activated sludge.
  • Main Results:

    • TGGE revealed a loss of numerically dominant populations in BIOLOG wells compared to the inoculum.
    • Dominant fragments in BIOLOG wells were often from gamma-Proteobacteria, suggesting fast-growing bacteria influenced results.
    • Activated sludge communities showed enrichment of certain populations, but not all original dominant populations were detected.

    Conclusions:

    • Carbon source utilization profiles from BIOLOG GN plates may not accurately reflect the functional potential of the numerically dominant members of the inoculum.
    • Fast-growing bacteria can disproportionately influence BIOLOG assay outcomes.
    • Microbial community structure shifts during BIOLOG incubation, impacting interpretation of catabolic potential.