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Applied and Environmental Microbiology, May 2001, p. 2354-2359, Vol. 67, No. 5
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.5.2354-2359.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
DNA Extraction from Soils: Old Bias for New
Microbial Diversity Analysis Methods
F.
Martin-Laurent,*
L.
Philippot,
S.
Hallet,
R.
Chaussod,
J. C.
Germon,
G.
Soulas, and
G.
Catroux
UMR INRA MS Geosol, CMSE-INRA, 21034 Dijon
Cedex, France
Received 11 December 2000/Accepted 12 February 2001
 |
ABSTRACT |
The impact of three different soil DNA extraction methods on
bacterial diversity was evaluated using PCR-based 16S ribosomal DNA
analysis. DNA extracted directly from three soils showing contrasting
physicochemical properties was subjected to amplified ribosomal DNA
restriction analysis and ribosomal intergenic spacer analysis (RISA).
The obtained RISA patterns revealed clearly that both the phylotype
abundance and the composition of the indigenous bacterial community are
dependent on the DNA recovery method used. In addition, this effect was
also shown in the context of an experimental study aiming to estimate
the impact on soil biodiversity of the application of farmyard manure
or sewage sludge onto a monoculture of maize for 15 years.
 |
TEXT |
Up to now, most of the microbial
diversity studies conducted in complex ecosystems, such as soil, have
been biased essentially by the unculturability of many microorganisms
and the lack of sensitivity of traditional microbiological methods
(4). In the past decade, applications of new molecular
biology methods based primarily on amplification of soil-extracted
nucleic acids have provided a pertinent alternative to classical
culture-based microbiological methods, providing unique insight into
the composition, richness, and structure of microbial communities
(3, 6, 9, 11). However, the results of molecular analysis
of microbial communities rely not only on the extraction of DNAs
representative of the indigenous bacterial community composition but
also on factors related to PCR, such as the choice of primers, the
concentration of amplified DNA, errors in the PCR, or even the method
chosen for analysis. Recently, numerous studies have investigated new methods to improve extraction, purification, amplification, and quantification of DNA from soils (8, 13, 14). Comparative studies have been performed to analyze the efficiency of methods for
extraction and purification of soil DNA recovered, revealing that these
methods suffer from low efficiency, mainly due to incomplete cell lysis
and DNA sorption to soil particles (1, 5). However, the
impact of the extraction method on the outcome of indigenous microbial
community analysis has not been clearly established (5).
The goal of this study was to evaluate the effect of DNA extraction
methods on the bacterial diversity detected within DNA extracted from
three soils exhibiting contrasting physicochemical characteristics and,
in the context of an experimental study, from unamended soil and soils
amended for 15 years with farmyard manure or sewage sludge. Two
commercial DNA purification kits and a laboratory-devised method based
on mechanical lysis were used to extract DNA directly from soils.
Amplified ribosomal DNA restriction analysis (ARDRA) and ribosomal
intergenic spacer analysis (RISA) were performed to estimate the effect
of the DNA extraction procedure used on the bacterial diversity revealed.
DNA extraction from soils.
The physicochemical properties of
the three soils used in this study are presented in Table
1. The field experiment was conducted in
the Institut National de la Recherche Agronomique domain of Bordeaux,
France (45°N, 1°W) on an acid, coarse, sandy soil (7). This experiment was limited to continuously growing corn (Zea maize,
variety INRA 160), with four treatments, as follows: none (i) (i.e.,
N-P-K fertilizers only, with soil considered unamended), (ii) farmyard
manure (10 tons of dry matter per ha each year), (iii) sewage sludge
(10 tons of dry matter per ha each year), and (iv) sewage sludge (100 tons of dry matter per ha every 2 years), with blocks as for treatment
in a randomized manner. Fresh soils samples were sieved (2-mm mesh) and
stored at 4°C. Nucleic acids were extracted from three 250-mg
aliquots of soils using two commercial kits, the UltraClean Soil DNA
kit (MoBio Laboratories, Inc., Solana Beach, Calif.) and the Fast DNA
spin sample kit (for soil; Bio 101, Lajolla, Calif.), according to the
manufacturers' recommendations and using a procedure developed in our
laboratory. Briefly, 1 ml of a solution containing 100 mM Tris (pH
8.0), 100 mM EDTA, 100 mM NaCl, 1% (wt/vol) polyvinylpyrrolidone, and
2% (wt/vol) sodium dodecyl sulfate was added to 250 mg of soil in a
2-ml mini-bead-beater tube containing 0.5 and 0.1 g of 106-µm- and 2-mm-diameter glass beads, respectively. Samples were then homogenized for 30 s at 1,600 rpm in a mini-bead-beater cell
disruptor (Mikro-Dismembrator S; B. Braun Biotech International), after which the samples were centrifuged at 14,000 × g for 1 min at 4°C. The collected supernatants were incubated for 10 min on
ice with 1/10 volume of 5 M sodium acetate and centrifuged at
14,000 × g for 5 min. After precipitation with 1 volume of ice-cold isopropanol, the nucleic acids were washed with 70%
ethanol and purified using a Sepharose 4B spin column. The quality and
the size of the soil DNAs were checked by electrophoresis on 1%
agarose gels. DNA was quantified using a BioPhotometer (Eppendorf,
Hamburg, Germany). Three replicates were used for DNA evaluation. A
double-factor analysis of variance was performed to determine
significant differences in the yield of soil DNA. The Newman-Keuls
procedure (P < 0.05) was used to evaluate the impact
of the different soils and extraction methods used on the DNA
extraction yield.
ARDRA and RISA.
To test the possible selectivity of the DNA
extraction method, ARDRA and RISA were performed on DNA extracted
directly from soils. Three independent replicates were included in each
analysis, and the results were examined separately. Small subunit (SSU) ribosomal DNA (rDNA) genes were amplified from each soil replicate in
thermocycler (PTC 200 gradient cycler; MJ Research, Waltham, Mass.).
PCR amplification from 50 ng of extracted soil DNA was conducted with a
total volume of 50 µl by using 1 µM concentrations of the universal
primers 27f (5'-AGA GTT TGA TCM TGG CTC AG-3') and 1492r (5'-TAC GGH TAC CTT GTT ACG ACT T-3')
(2) and 2.5 U of Taq DNA polymerase
(Appligene) under the following conditions: 5 min at 94°C, 35 cycles
of 1 min at 94°C, 1 min at 55°C, and 2 min at 72°C, plus an
additional 15-min cycle at 72°C. The PCR products were then separated
by electrophoresis on a 1% agarose gel. Bands were extracted and
purified from the gel using the Qiaex II kit (Qiagen, Hilden, Germany)
as recommended by the manufacturer. Ten microliters of purified 16S
rDNA from each sample was digested with 15 U of RsaI,
HhaI, or MspI in 15-µl reaction mixtures.
The intergenic spacer region between the small and large subunits of
the ribosomal genes was amplified from 50 ng of DNA extracted from soil
with a total volume of 50 µl by using the universal primers
38r (5'-CCG GGT TTC CCC ATT CGG-3') and
72f (5'-TGC GGC TGG ATC TCC TT-3')
(2) under the conditions described above. For both
ARDRA and RISA, 15-µl aliquots were separated by electrophoresis on a
native 6% acrylamide gel run for 12 or 17 h at 8 mA,
respectively. Gels were stained with SYBR green II (Molecular Probes,
Leiden, The Netherlands) by following the recommendations of the manufacturer.
PCR efficiency analysis.
Three microliters of 16S rDNA PCR
product was separated by electrophoresis on a 1% agarose gel run for
1 h at 100 V. Gels were stained with ethidium bromide and analyzed
with the ImageQuant program. 16S-23S intergenic rDNA PCR products were
purified with columns (Microcon PCR/Amicon Bioseparations; Millipore,
Bedford, Mass.) according to the manufacturers' recommendations. A
2-µl volume of each purified PCR product was then diluted into 48 µl of sterile water, and the nucleic acid content was determined using a BioPhotometer (Eppendorf). For both 16S and 16S-23S intergenic rDNA PCR products, three repeats were carried out. Data were analyzed statistically as described above.
Effect of extraction methods on bacterial diversity analysis.
The DNA yields obtained ranged between 0.2 and 2.5 µg g of
soil
1 from sample to sample and differed with the
extraction method (Table 2). The MS
laboratory method yielded an amount of DNA that was significantly
higher than those obtained with the kits from MoBio Laboratories and
Bio 101 for Dijon and Epoisses soils. However, the quantity of DNA
extracted from the sandy soil of Couhins was not significantly affected
by the extraction method used. These results therefore suggest that the
yield of DNA per gram of soil depends on the method used and on the
properties of the soil considered. Patterns of restriction fragment
length polymorphism of amplified 16S rDNA genes digested with
RsaI restriction enzyme indicate that amplified 16S rDNA
genes were very similar whatever extraction method used or soil tested
(Fig. 1). Other enzymes (HhaI
and MspI) were tested and also provided identical patterns
for the three soils (data not shown). It is commonly admitted that
ARDRA resolves microbial diversity up to the genus level. Our results
therefore confirm that some genera are widely distributed and dominant
in the three agricultural soils tested here. In addition, they suggest
that at the genus level the particular DNA extraction method used does
not influence bacterial diversity analysis. Evaluation of the impact of
extraction methods on bacterial diversity was further conducted by
means of RISA. Demonstration of the relevance and the sensitivity of
the RISA approach for microbial diversity analysis has been previously
reported (10). Similar RISA patterns were visualized for
the three soil replicates, illustrating the reproducibility of the
results for both DNA extraction and amplification (Fig.
2). However, it has to be noted that some differences between soils were observed: for DNAs extracted from the
Dijon soil, additional bands were observable at 900, 300, and 220 bp
(Fig. 2, lane 4 for Dijon soil). In addition, for each soil many
differences were observed between the RISA patterns obtained for DNA
extracted using different methods. For instance, a strong band between
242 and 320 bp and another one just above 501 bp were consistently
observed in the RISA patterns generated for DNA extracted from the soil
of Couhins using the MoBio Laboratories kit (Fig. 2, lanes 4 to 6).
However, these two bands were not shown in the RISA patterns obtained
with DNA extracted using the MS laboratory method (Fig. 2, lanes 1 to
3) and the Bio 101 kit (Fig. 2, lanes 7 to 9). Therefore, differences
in the location of the dominant bands were evident for both Epoisses
and Dijon soils when the RISA patterns obtained with the three
different DNA extraction methods were compared. RISA patterns obtained
with the soil of Couhins appeared to be more similar regardless of the
extraction method used. This probably reflects the homogeneity of this
soil due to its high percentage of sand (Table 1). Surprisingly, a
strong-dominant band at 800 bp was observed for the three soils studied
only in the RISA patterns obtained with DNA recovered with the Bio 101 kit, while it was not possible to distinguish this band with the two
other extraction methods. Assuming that the brightness of this 800-bp
band was expected to be identical for the same soil whatever the
extraction method used, the discrepancies (variations in the positions
and brightness of the bands) in the results obtained for the same soil
using different DNA extraction methods strongly suggest a preferential
DNA recovery and/or preferential DNA amplification, depending on the
method used. It must be emphasized that such discrepancies were
observed in comparing DNA extracted from soils using only methods based
on mechanical lysis by bead beating, while other methods, based on
sonication or lysozyme lysis, have been reported (5, 8).
Diversity analyses based on cultivation methods are biased by the fact
that cultivatable bacteria represent only a small proportion (<0.1%)
of the soil microbial community (12). Similarly, our data
show that DNA extraction from soil also suffers from biases that can
distort the revealed community composition, richness, and structure and that the outcome of microbial community analysis is dependent on the
DNA recovery method used. Because important variations in the
brightness of the bands appeared in the RISA patterns for the different
soil DNA extraction methods, it seems that the relative abundance of
phylotypes in soil cannot be accurately estimated with these direct
molecular approaches.
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TABLE 2.
Yield of DNA extracted from Dijon, Couhins, and Epoisses
soils using the MoBio Laboratories kit, the Bio 101 kit, or the MS
laboratory method
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FIG. 1.
ARDRA. Shown is a SYBR green II-stained gel (6%
acrylamide) of RsaI-digested PCR products amplified with 16S
rDNA universal primers (27f and 1492r) from DNA
extracted from Dijon, Couhins, and Epoisses soils following three
different extraction methods: the MS laboratory method (lanes 1 to 3),
the MoBio kit method (lanes 4 to 6), and the Bio 101 kit method (lanes
7 to 9). Lanes M, VIII Boehringer Mannheim molecular size markers
(sizes indicated in base pairs at left and right).
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FIG. 2.
RISA shown is a SYBR green II-stained gel (6%
acryamide) of PCR products amplified with 16S rDNA intergenic spacer
universal primers (38r and 72f) from DNA
extracted from Dijon, Couhins, and Epoisses soils following three
different extraction methods: the MS laboratory method (lanes 1 to 3),
the MoBio kit method (lanes 4 to 6), and the Bio 101 kit method (lanes
7 to 9). Lanes M, VIII Boehringer Mannheim molecular size markers
(sizes indicated in base pairs at left and right). Arrow, 800-bp
band.
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|
In order to evaluate more precisely the biases introduced by the soil
DNA extraction methods, we have conducted ARDRA and RISA in the context
of experimental studies on DNA extracted from the soil of Couhins
treated with farmyard manure and sewage sludge or not treated for 15 years. ARDRA produced patterns identical to those shown in Fig. 1 (Fig.
3). These results indicate that the
dominant microbial genera were apparently not affected by the
application of either farmyard manure or sewage sludge. However, despite the fact that almost identical RISA patterns were previously obtained with the soil of Couhins whatever the DNA extraction method
used (Fig. 2), RISA conducted on DNA extracted directly from unamended
soil or farmyard manure- or sewage sludge-treated soil of Couhins
confirmed that the obtained fingerprints also depend on the extraction
method used (Fig. 4). Notably, the
strong-dominant band at 800 bp previously observed only with DNA
recovered with the Bio 101 kit was detected again, with the same
intensity, in analyses of unamended and farmyard manure- and sewage
sludge-treated soils.

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FIG. 3.
ARDRA. Shown is a SYBR green II-stained gel (6%
acrylamide) of RsaI-digested PCR products amplified with 16S
rDNA universal primers (27f and 1492r) from DNA
extracted from unamended soil (U) and farmyard manure (FM)- and sewage
sludge (SS10 and SS100)-treated plots of Couhins following three
different extraction methods: the MS laboratory method (lanes 1 to 3),
the MoBio kit method (lanes 4 to 6), and the Bio 101 kit method (lanes
7 to 9). Lanes M, VIII Boehringer Mannheim molecular size markers
(sizes indicated in base pairs at left and right). SS10, 10 tons of dry
matter/ha/years. SS100, 100 tons of dry matter/ha/2 years.
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FIG. 4.
RISA. Shown is SYBR green II-stained gel (6% acryamide)
of PCR products amplified with 16S ribosomal universal primers
(38r and 72f) from DNA extracted from unamended
soil (U) and farmyard manure (FM)- or sewage sludge (SS10 and
SS100)-treated plots of Couhins soil following three different
extraction methods: the MS laboratory method (MS) (lanes 1 to 3), the
MoBio kit method (lanes 4 to 6), and the Bio 101 kit method (lanes 7 to
9). Lanes M, VIII Boehringer Mannheim molecular size markers (sizes
indicated in base pairs at left and right). Arrow, 800-bp band.
|
|
Further, no matter what the extraction method used, the impact on soil
biodiversity of the application of either farmyard manure or sewage
sludge could be shown clearly. Regardless of the extraction method
used, the RISA patterns for unamended soil and farmyard manure
(FM)-treated soil were very similar, indicating that the application of
farmyard manure did not affect the soil biodiversity (Fig. 4). On the
contrary, a comparison of RISA patterns for unamended soil and SS10 or
SS100 sewage sludge-treated soil showed clear differences, indicating
that the application of sewage sludge dramatically modified the soil
biodiversity. More precisely, when comparing the RISA fingerprint for
unamended soil with that for sewage sludge-treated soil, two major
effects can be shown, as follows: (i) a strong diminution of the number
of phylotypes (i.e., bands at 190 bp and between 242 and 340 bp) and
(ii) an important modification of RISA fingerprints due to both the
reinforcement of existing phylotypes (i.e., bands below 242 bp and at
320 bp) and the appearance of new phylotypes (i.e., bands at 900 bp,
above 501 bp, and at 320 bp) (Fig. 4). In addition, it can be noted that the higher dose of sewage sludge (i.e., 100 tons/ha every 2 years)
produced a stronger alteration of the microbial biodiversity of the
soil of Couhins. Nevertheless, again the extraction method used
affected the biodiversity as revealed by RISA. Despite the bias
introduced by the DNA extraction used, the impact of agricultural practices on soil biodiversity can be measured thanks to this molecular
approach, though the relative abundance of phylotypes in soils cannot
be accurately estimated.
In addition, the yield of the 16S rDNA and 16S-23S intergenic rDNA PCR
reactions was measured in order to estimate the impact of the
extraction method and/or the soil matrix on PCR efficiency. The 16S
rDNA amplification efficiency was estimated by image analysis. In fact,
no matter what the soil matrix, the samples extracted with the MS
laboratory method yielded lower amounts of 16S rDNA PCR product than
those extracted with the Bio 101 kit (Table
3). The two-way analysis of variance
revealed that the 16S rDNA amplification was significantly affected by
the extraction method but not by the soil matrix. In addition, no
significant interaction between the extraction method and the soil
matrix was shown by the Newman-Keuls procedure. The effect of the
extraction method on the efficiency of the 16S rDNA is probably due to
differential coextraction of impurities which may affect the activity
of the Taq polymerase. However, despite the alteration of
the amplification efficiency, no clear differences have been observed
in ARDRA (Fig. 3). This contradictory result might be due to the fact
that ARDRA patterns reveal only dominant microbial genera, hiding much
of the existing diversity and probably masking the effect of the
alteration of the amplification efficiency.
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TABLE 3.
Yield of 16S rDNA PCR product amplified from DNA
extracted from unamended soil and farmyard manure- and sewage
sludge-treated soils following three different extraction methods
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|
The yield of the 16S-23S intergenic rDNA PCR was also determined. In
fact, no matter what extraction method was used, the PCR yield
resulting from the amplification of DNA extracted from FM-treated soil
was significantly higher than that resulting from the amplification of
DNA extracted from SS100 sewage sludge-treated soil (Table
4). Therefore, the soil matrix
significantly affected the yield of the 16S-23S rDNA amplification and
the extraction method did not affect it significantly. Again, PCR
efficiency alterations due to soil matrices would be in
contradiction with the RISA results, which showed that the microbial
diversity of unamended soil was very similar to that of the FM-treated
soil but very different from that of either the SS10 or the SS100
sewage sludge-treated soil. Therefore, despite the observed soil matrix effect on the efficiency of 16S-23S rDNA amplification, the
biodiversity revealed by RISA was not affected in the same way,
suggesting that the relation between PCR efficiency and the results of
RISA is not obvious.
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TABLE 4.
Yield of the RISA PCR product amplified from DNA
extracted from unamended soil or farmyard manure- or sewage
sludge-treated soil following three different extraction methods
|
|
In conclusion, the results presented here clearly demonstrate that soil
DNA extraction methods can affect both phylotype abundance and
composition of the indigenous bacterial community. PCR biases also
occur. Notably, the PCR efficiency of 16S or 16S-23S rDNA was affected
by the extraction method or the soil matrix, respectively. Overall,
assuming that the biases operated uniformly for all samples examined
using the same DNA extraction method, our RISA data also indicated that
these direct molecular methods allowed (i) the differentiation of soils
according to their bacterial communities and (ii) the monitoring of
differences in the bacterial communities in a soil in response to a
stress. However, all the problems described above need to be considered
before drawing conclusions concerning relative abundance of microbial
phylotypes in soils. Additionally, our work suggests that the use of
standard soil DNA extraction and PCR methods by soil microbiologists
could provide a more complete understanding of the composition and
diversity of soil microbial communities.
 |
ACKNOWLEDGMENTS |
We thank Jean-Claude Fournier and Bernard Lagacherie for
helpful discussions. This study was supported by the MATE and the Burgundy Région (contract number B03039).
 |
FOOTNOTES |
*
Corresponding author. Mailing address: UMR INRA MS
Geosol, CMSE-INRA, 17 rue Sully, 21034 Dijon Cedex, France. Phone: (33) 03 80 69 31 06. Fax: (33) 03 80 69 32 24. E-mail:
fmartin{at}dijon.inra.fr.
 |
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Applied and Environmental Microbiology, May 2001, p. 2354-2359, Vol. 67, No. 5
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.5.2354-2359.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
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