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Microbial Ecology

, Volume 37, Issue 2, pp 129–139 | Cite as

Comparison of Parental and Transgenic Alfalfa Rhizosphere Bacterial Communities Using Biolog GN Metabolic Fingerprinting and Enterobacterial Repetitive Intergenic Consensus Sequence-PCR (ERIC-PCR)

  • G.D.  Di Giovanni
  • L.S.  Watrud
  • R.J.  Seidler
  • F.  Widmer

Abstract

Rhizosphere bacterial communities of parental and two transgenic alfalfa (Medicago sativa L.) of isogenic background were compared based on metabolic fingerprinting using Biolog GN microplates and DNA fingerprinting of bacterial communities present in Biolog GN substrate wells by enterobacterial repetitive intergenic consensus sequence-PCR (ERIC-PCR). The two transgenic alfalfa expressed either bacterial (Bacillus licheniformis) genes for alpha-amylase or fungal (Phanerochaete chrysosporium) genes for Mn-dependent lignin peroxidase (Austin S, Bingham ET, Matthews DE, Shahan MN, Will J, Burgess RR, Euphytica 85:381–393). Cluster analysis and principal components analysis (PCA) of the Biolog GN metabolic fingerprints indicated consistent differences in substrate utilization between the parental and lignin peroxidase transgenic alfalfa rhizosphere bacterial communities. Cluster analysis of ERIC-PCR fingerprints of the bacterial communities in Biolog GN substrate wells revealed consistent differences in the types of bacteria (substrate-specific populations) enriched from the rhizospheres of each alfalfa genotype. Comparison of ERIC-PCR fingerprints of bacterial strains obtained from substrate wells to substrate community ERIC-PCR fingerprints suggested that a limited number of populations were responsible for substrate oxidation in these wells. Results of this study suggest that transgenic plant genotype may affect rhizosphere microorganisms and that the methodology used in this study may prove a useful approach for the comparison of bacterial communities.

Keywords

Bacterial Community Consistent Difference Bacillus Licheniformis Phanerochaete Lignin Peroxidase 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag New York Inc. 1999

Authors and Affiliations

  • G.D.  Di Giovanni
    • 1
  • L.S.  Watrud
    • 2
  • R.J.  Seidler
    • 2
  • F.  Widmer
    • 1
  1. 1.National Research Council Research Associate, US EPA National Health and Environmental Effects Research Laboratory—Western Ecology Division, 200 SW 35th Street, Corvallis, OR 97333, USAUS
  2. 2.US EPA National Health and Environmental Effects Research Laboratory—Western Ecology Division, 200 SW 35th Street, Corvallis, OR 97333, USAUS

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