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Applied and Environmental Microbiology, December 1998, p. 4870-4876, Vol. 64, No. 12
Institut für Agrarökologie,
Bundesforschungsanstalt für Landwirtschaft, 38116 Braunschweig, Germany
Received 30 June 1998/Accepted 21 September 1998
Single-strand-conformation polymorphism (SSCP) of DNA, a method
widely used in mutation analysis, was adapted to the analysis and
differentiation of cultivated pure-culture soil microorganisms and
noncultivated rhizosphere microbial communities. A fragment (approximately 400 bp) of the bacterial 16S rRNA gene (V-4 and V-5
regions) was amplified by PCR with universal primers, with one primer
phosphorylated at the 5' end. The phosphorylated strands of the PCR
products were selectively digested with lambda exonuclease, and the
remaining strands were separated by electrophoresis with an MDE
polyacrylamide gel, a matrix specifically optimized for SSCP purposes.
By this means, reannealing and heteroduplex formation of DNA strands
during electrophoresis could be excluded, and the number of bands per
organism was reduced. PCR products from 10 of 11 different bacterial
type strains tested could be differentiated from each other. With
template mixtures consisting of pure-culture DNAs from 5 and 10 bacterial strains, most of the single strains could be detected from
such model communities after PCR and SSCP analyses. Purified bands
amplified from pure cultures and model communities extracted from gels
could be reamplified by PCR, but by this process, additional products
were also generated, as detected by further SSCP analysis. Profiles
generated with DNAs of rhizosphere bacterial communities, directly
extracted from two different plant species grown in the same field
site, could be clearly distinguished. This study demonstrates the
potential of the selected PCR-single-stranded DNA approach for
microbial community analysis.
0099-2240/98/$04.00+0
Copyright © 1998, American Society for Microbiology. All rights reserved.
A New Approach To Utilize PCR-Single-Strand-Conformation
Polymorphism for 16S rRNA Gene-Based Microbial Community
Analysis
*
Corresponding author. Mailing address: FAL-Institut
für Agrarökologie, Bundesallee 50, 38116 Braunschweig,
Germany. Phone: 49 531 596 736. Fax: 49 531 596 366. E-mail:
tebbe{at}bb.fal.de.
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