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Applied and Environmental Microbiology, October 2001, p. 4554-4559, Vol. 67, No. 10
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.10.4554-4559.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Numerical Analysis of Grassland Bacterial Community
Structure under Different Land Management Regimens by Using 16S
Ribosomal DNA Sequence Data and Denaturing Gradient Gel Electrophoresis
Banding Patterns
Allison E.
McCaig,*
L. Anne
Glover, and
James I.
Prosser
Department of Molecular and Cell Biology,
University of Aberdeen, Institute of Medical Sciences,
Foresterhill, Aberdeen, AB25 2ZD, United Kingdom
Received 20 February 2001/Accepted 11 July 2001
Bacterial diversity in unimproved and improved grassland soils was
assessed by PCR amplification of bacterial 16S ribosomal DNA (rDNA)
from directly extracted soil DNA, followed by sequencing of ~45 16S
rDNA clones from each of three unimproved and three improved grassland
samples (A. E. McCaig, L. A. Glover, and J. I. Prosser,
Appl. Environ. Microbiol. 65:1721-1730, 1999) or by denaturing gradient gel electrophoresis (DGGE) of total amplification products. Semi-improved grassland soils were analyzed only by DGGE. No
differences between communities were detected by calculation of
diversity indices and similarity coefficients for clone data (possibly
due to poor coverage). Differences were not observed between the
diversities of individual unimproved and improved grassland DGGE
profiles, although considerable spatial variation was observed among
triplicate samples. Semi-improved grassland samples, however, were less
diverse than the other grassland samples and had much lower
within-group variation. DGGE banding profiles obtained from triplicate
samples pooled prior to analysis indicated that there was less evenness
in improved soils, suggesting that selection for specific bacterial
groups occurred. Analysis of DGGE profiles by canonical variate
analysis but not by principal-coordinate analysis, using unweighted
data (considering only the presence and absence of bands) and weighted
data (considering the relative intensity of each band), demonstrated
that there were clear differences between grasslands, and the results
were not affected by weighting of data. This study demonstrated that
quantitative analysis of data obtained by community profiling methods,
such as DGGE, can reveal differences between complex microbial communities.
*
Corresponding author. Mailing address: Department of
Molecular and Cell Biology, University of Aberdeen, Institute of
Medical Sciences, Foresterhill, Aberdeen, AB25 2ZD, United Kingdom.
Phone: (44) 1224 273149. Fax: (44) 1224 273144. E-mail:
a.mccaig{at}abdn.ac.uk.
Applied and Environmental Microbiology, October 2001, p. 4554-4559, Vol. 67, No. 10
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.10.4554-4559.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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