Previous Article | Next Article 
Applied and Environmental Microbiology, November 2001, p. 5113-5121, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5113-5121.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
Denaturing Gradient Gel Electrophoresis Analysis of the 16S rRNA
Gene V1 Region To Monitor Dynamic Changes in the Bacterial Population
during Fermentation of Italian Sausages
Luca
Cocolin,1,*
Marisa
Manzano,1
Carlo
Cantoni,2 and
Giuseppe
Comi1
Dipartimento di Scienze degli Alimenti,
Facoltà di Agraria, Università degli studi di Udine, 33100 Udine,1 and Dipartimento di Scienze e
Tecnologie Veterinarie per la Sicurezza degli Alimenti, Facoltà
di Medicina Veterinaria, Università degli studi di Milano, 20121 Milan,2 Italy
Received 16 January 2001/Accepted 30 July 2001
 |
ABSTRACT |
In this study, a PCR-denaturing gradient gel electrophoresis (DGGE)
protocol was used to monitor the dynamic changes in the microbial
population during ripening of natural fermented sausages. The method
was first optimized by using control strains from international collections, and a natural sausage fermentation was studied by PCR-DGGE
and traditional methods. Total microbial DNA and RNA were extracted
directly from the sausages and subjected to PCR and reverse
transcription-PCR, and the amplicons obtained were analyzed by DGGE.
Lactic acid bacteria (LAB) were present together with other organisms,
mainly members of the family Micrococcaceae and meat
contaminants, such as Brochothrix thermosphacta and
Enterococcus sp., during the first 3 days of
fermentation. After 3 days, LAB represented the main population, which
was responsible for the acidification and proteolysis that determined
the characteristic organoleptic profile of the Friuli Venezia Giulia
fermented sausages. The PCR-DGGE protocol for studying sausage
fermentation proved to be a good tool for monitoring the process in
real time, and it makes technological adjustments possible when
they are required.
 |
INTRODUCTION |
The microbiology of fermented
sausages is varied and complex. The type of microflora that develops is
often closely related to the ripening technique utilized. Sausages with
a short ripening time have more lactobacilli from the early stages of
fermentation, and at the end of ripening an acid flavor with little
aroma predominates. In contrast, sausages with longer maturation times
contain higher numbers of Micrococcaceae in the early stages
of fermentation. Members of the Micrococcaceae have a low
rate of acidification and produce protease and lipase and thus release
various aromatic substances and organic acids (11).
Manufacturing of fermented sausages has a long history in Italy, and
there are a wide variety of typical preparations (32). Many typical fermented meat products are still produced with
traditional technologies without selected starters. However, the use of
starter cultures for sausage production is becoming increasingly
necessary to guarantee safety and to standardize product properties,
including consistent flavor and color and shorter ripening time.
In the Friuli Venezia Giulia region in northeast Italy, a traditional
fermented sausage is produced without microbial starters; this sausage
is characterized at the end of ripening by accentuated acidity, slight
sourness, and an elastic semihard consistency. This product is produced
from fresh pork meat and lard that are mixed with other ingredients,
such as sugars, NaCl, and additives (nitrate, nitrite, and spices).
According to company guidelines, starters can be added, but this is
usually done only for large-scale production.
A wide variety of microorganisms have already been isolated from
sausage fermentations by traditional methods. These microorganisms are
mainly lactic acid bacteria (LAB) and Staphylococcus and
Kocuria spp. (9, 16).
Due to the known limitations of conventional microbiological methods,
characterization of microorganisms that require selective enrichment
and subculturing is problematic or impossible. Moreover, in the last
decade it was shown that classical microbial techniques do not
accurately detect microbial diversity (3, 17). One culture-independent method for studying the diversity of microbial communities is analysis of PCR products, generated with primers homologous to relatively conserved regions in the genome, by using denaturing gradient gel electrophoresis (DGGE) or temperature gradient
gel electrophoresis (15, 23, 24). These approaches allow
separation of DNA molecules that differ by single bases (25) and hence have the potential to provide information
about variations in target genes in a bacterial population. By
adjusting the primers used for amplification, both major and minor
constituents of microbial communities can be characterized.
The aim of the present study was to use molecular approaches to
describe the bacterial diversity during natural fermentation of Italian
sausages. The PCR-amplified V1 region of the 16S rRNA gene (rDNA) was
analyzed by DGGE to monitor the evolution of the predominant
populations during the aging period. The 16S rRNA and rDNA profiles
obtained were compared to determine the active population responsible
for the changes that occurred during ripening of the sausages. For
comparison purposes, LAB strains were isolated from fermented sausages
by traditional plating techniques and were identified by molecular methods.
 |
MATERIALS AND METHODS |
Bacterial control strains.
Lactobacillus sake DSM
6333, Lactobacillus casei DSM 20011, Lactobacillus
curvatus subsp. curvatus DSM 20019, Lactobacillus brevis DSM 20054, Lactobacillus plantarum DSM 20174, Lactobacillus alimentarius DSM 20249, Staphylococcus
xylosus DSM 6179, Kocuria kristinae DSM 20032, Kocuria varians DSM 20033, Staphylococcus simulans DSM 20322, Staphylococcus intermedius DSM
20373, and Staphylococcus carnosus subsp.
carnosus DSM 20501 were obtained from the Deutsche Sammlung
von Mikroorganismen und Zellkulturen GmbH (Braunschweig, Germany) and
were used for optimization of the PCR-DGGE method.
Fermented sausage technology and sampling procedures.
Fermented sausages were prepared in a local meat factory by traditional
techniques. Sixty kilograms of pork meat, 40 kg of lard, 2.5 kg of
sodium chloride, 1.5 kg of sugars, 200 ppm of nitrite and
nitrate, and 70 g of black pepper were mixed and used to
fill natural casings; the procedure used resulted in fresh sausages
that were 25 cm long and 5 cm in diameter. Ripening was performed as
follows. The first stage consisted of 2 days of drying with a relative
humidity (RH) of 85% at 22°C; the temperature was then decreased to
12°C at a rate of 2°C per day with a RH between 60 and 90%.
Ripening was then carried out for 38 days at 12°C in storerooms with
65 to 85% RH. Triplicate samples of the meat mixture prior to filling
and of sausages obtained at 3, 10, 20, 30, and 45 days were used for
microbiological and molecular analyses.
pH measurements.
Potentiometric pH measurements were
obtained with the pin electrode of a pH meter (pH M82; Radiometer
Copenhagen, Cecchinato, Italy) that was inserted directly into a
sample. Three independent measurements were obtained for each sample.
Means and standard deviations were calculated.
Microbiological analysis.
The samples were subjected to a
microbiological analysis to monitor the dynamic changes in the
population responsible for ripening of fermented sausages and their
hygienic quality. Twenty-five grams of each sample was transferred into
a sterile stomacher bag, 225 ml of saline-peptone water (8 g of NaCl
per liter, 1 g of bacteriological peptone [Oxoid, Milan, Italy]
per liter) was added, and the preparation was mixed for 1.5 min
in a stomacher machine (PBI, Milan, Italy). Additional decimal
dilutions were prepared, and the following analyses were carried out on
duplicate agar plates: (i) total aerobic mesophilic flora on peptone
agar (8 g of bacteriological peptone per liter, 15 g of
bacteriological agar [Oxoid] per liter) that was incubated for 48 to
72 h at 30°C; (ii) LAB on MRS agar (Oxoid) that was incubated in
a double layer at 30°C for 48 h; (iii) Micrococcaceae
on mannitol salt agar (Oxoid) that was incubated at 30°C for 48 h; (iv) total enterobacteria and Escherichia coli on Coli-ID
medium (Biomerieux, Marcy l'Etoile, France) that was incubated in a
double layer at 37°C for 24 to 48 h; (v) fecal enterococci on
kanamycin esculin agar (Oxoid) that was incubated at 42°C for 24 h; and (vii) Staphylococcus aureus on Baird-Parker medium
(Oxoid) with egg yolk tellurite emulsion (Oxoid) that was incubated at
37°C for 24 to 48 h. After counting, means and standard
deviations were calculated. Ten LAB strains from MRS plates for each
sample were randomly selected, streaked on MRS agar, and stored at
20°C in MRS broth containing 30% glycerol before they were
subjected to DNA extraction, PCR, and DGGE.
DNA extraction from pure cultures.
A single colony, from an
MRS agar plate incubated at 30°C for 24 h, was resuspended in
200 µl of sterile distilled water, and 10 µl of proteinase K (25 mg/ml; Sigma, Milan, Italy) was added. The DNA was extracted by
incubation at 65°C for 1.5 h followed by treatment at 100°C
for 10 min. Five microliters was transferred to a PCR mixture after
centrifugation at 8,000 × g for 5 min at 4°C.
Extraction of DNA and RNA from fermented sausages.
At each
step of the ripening process, triplicate 10-g samples were homogenized
in a stomacher bag with 10 ml of saline-peptone water for 1 min. After
each preparation had settled for 1 min, two 1-ml subsamples (one for
DNA extraction and one for RNA extraction) were placed in 1.5-ml
screw-cap tubes containing 0.3 g of glass beads. The samples were
centrifuged at 4°C for 10 min at 14,000 × g to
pellet the cells, which were resuspended in 500 µl of a 10% (wt/vol)
sucrose solution containing 25 µl of lysozyme (50 mg/ml; Sigma).
After 30 min of incubation at 37°C, a second centrifugation for 10 min at 14,000 × g at 4°C was performed, the pellet
was resuspended in 500 µl of breaking buffer (2% Triton X-100, 1% sodium dodecyl sulfate, 100 mM NaCl, 10 mM Tris [pH 8], 1 mM EDTA [pH 8]), and 25 µl of proteinase K (10 mg/ml) was added. The tubes were incubated at 65°C for 1 h before the preparations were
subjected to bead beater treatment. Five hundred microliters of
phenol-chloroform (5:1; pH 4.7; Sigma) for extraction of RNA or 500 µl of phenol-chloroform-isoamyl alcohol (25:24:1; pH 6.7; Sigma) for
extraction of DNA was added to each tube, and three 30-s treatments at
the maximum speed, with 10-s intervals between treatments, were
performed with a bead beader (Mini Bead Beader 8; Biospec Products,
Inc., Bartlesville, Okla.). The tubes were then centrifuged at
12,000 × g at 4°C for 10 min, the aqueous phases
were collected, and the nucleic acids were precipitated with ice-cold
absolute ethanol. The DNA and RNA were collected by centrifugation at
14,000 × g and 4°C for 10 min, and the pellets were
dried under vacuum at room temperature. Fifty microliters of sterile
water was added and the preparations were incubated for 30 min at
45°C to facilitate nucleic acid solubilization. One microliter of
DNase-free RNase (Roche Diagnostics, Mannheim, Germany) and 1 µl of
RNase-free DNase (Roche Diagnostics) were added to digest RNA and DNA,
respectively, during incubation at 37°C for 1 h. Each RNA
solution was checked for the presence of residual DNA by performing PCR
amplification. When positive signals were detected, the DNase treatment
was repeated to eliminate all of the DNA.
PCR and reverse transcription (RT)-PCR protocol.
Different
regions of the 16S rDNA were amplified with the primers listed in Table
1 in order to determine the primers that provided the best DGGE differentiation of the Lactobacillus,
Staphylococcus, and Kocuria spp. involved in
fermentation of sausages. Amplification was conducted in a standard
reaction mixture containing 10 mM Tris HCl (pH 8.3), 50 mM KCl, 1.5 mM
MgCl2, each deoxynucleoside triphosphate at a
concentration of 0.2 mM, 1.25 IU of Taq polymerase, and each
primer at a concentration of 0.2 µM; the only exception was the
mixture used for primers Ec1055/Ec1392 and primers U968/L1401, in which
the MgCl2 concentration was increased to 3 mM.
Two microliters of template DNA was added to each mixture.
Amplifications were carried out with a Minicycler (MJ Genenco,
Florence, Italy) by using a final volume of 50 µl and the cycle
conditions suggested by the authors. For the P1 and P2 primers a
different amplification cycle was used, consisting of an initial
touchdown procedure in which the annealing temperature was decreased
from 60 to 52°C at a rate of 2°C every two cycles and then 20 additional annealing cycles at 50°C. A denaturation step of 95°C
for 1 min was used, and extension was performed at 72°C for 2.5 min;
a final extension of 72°C for 5 min ended the amplification cycle.
Five microliters of each PCR product was analyzed by electrophoresis in
a 0.5× TBE agarose gel.
RT-PCR was performed with the RevertAid Moloney murine leukemia virus
reverse transcriptase (MJ Genenco). One microliter (approximately
0.1 µg) of total RNA was suspended in 10 µl of DNase- and
RNase-free
sterile water containing 10 pmol of a primer and incubated
at
70°C for 5 min. Immediately being chilled in ice, a mixture
containing
25 mM Tris HCl (pH 8.3), 25 mM KCl, 2 mM
MgCl
2, 5 mM dithiothreitol,
each deoxynucleoside
triphosphate at a concentration of 1 mM,
and 20 IU of RNase
inhibitor (Promega, Milan, Italy) was transferred
to the reaction tube.
After 5 min of incubation at 37°C, 1 µl
of reverse transcriptase
was added, and this was followed by incubation
at 42°C for 60 min and
at 70°C for 10 min to stop the reaction.
Three microliters of the
cDNA synthesized was used for the PCR
as described
previously.
DGGE analysis.
The Dcode universal mutation detection system
(Bio-Rad Laboratories, Richmond, Calif.) was used for a DGGE analysis
of the PCR products obtained from single cultures and directly from
fermented sausages. Electrophoresis was performed in a 0.8-mm
polyacrylamide gel (8% [wt/vol] acrylamide-bisacrylamide [37.5:1])
by using two different ranges of denaturants to optimize separation of
the products from the population involved in fermentation. Two
denaturant gradients, one from 30 to 50% and one from 40 to 60%
(100% denaturant was 7 M urea plus 40% [wt/vol] formamide)
increasing in the direction of electrophoresis, were used. The gels
were subjected to a constant voltage of 130 V for 3.5 h at 60°C,
and after electrophoresis they were stained for 20 min in 1.25× TAE
containing 1× (final concentration) SYBR Green (Molecular
Probes, Eugene, Oreg.) and photographed under UV illumination.
Sequencing of DGGE bands.
Small pieces of selected DGGE
bands were punched from the gel with sterile pipette tips. The pieces
were then each transferred into 50 µl of sterile water and incubated
overnight at 4°C to allow diffusion of the DNA. Two microliters of
the eluted DNA was used for reamplification, and the PCR products
generated with the GC-clamped primer were checked by DGGE; DNA or RNA
amplified from sausage was used as a control. Only products that
migrated as a single band and at the same position with respect to the control were amplified with the primer without the GC clamp, purified, and sent to a commercial sequencing facility (MWG Biotech, Ebersberg, Germany) for sequencing.
Sequence analysis.
Searches in the GenBank with the BLAST
program (1) were performed to determine the closest known
relatives of the partial 16S rDNA sequences obtained.
Nucleotide sequence accession numbers.
The GenBank accession
numbers for the nucleotide sequences obtained from the DGGE bands are
shown in Table 2.
 |
RESULTS |
Enumeration of microorganisms and pH curve.
Sausage
fermentation was characterized by a rapid increase in the number of
LAB, which increased from an initial value of 104
CFU/g to 108 to 109 CFU/g
within the first 10 days of ripening and remained stable for the rest
of the fermentation (Fig. 1). This large
increase in LAB abundance correlated with the decrease in pH values in the first stages of the maturation, and the pH reached after 10 days of
fermentation, pH 5.46, was the lowest pH during the process. An
increase in the pH to 5.56 at the end of the period monitored was
explained by the proteolytic activity of the microorganisms involved in
the fermentation. The initial number of members of the
Micrococcaceae in the meat was 104
CFU/g, which increased to 106 CFU/g after 20 days
of fermentation and then started to decrease. The final number was
104 CFU/g at 45 days. The total bacteria were
105 CFU/g, and the highest number
(108 CFU/g) occurred at 20 days; the number
decreased at the next sampling point. Fecal enterococci increased
steadily to 104 CFU/g at 20 days and then
decreased to 102 CFU/g after 35 days of
fermentation. Total enterobacteria and E. coli decreased
rapidly, and the decrease was correlated with the decrease in pH; after
10 days of maturation no suspected colonies were detected on the
Coli-ID plates. No presumptive S. aureus colonies were
observed during the ripening period.

View larger version (19K):
[in this window]
[in a new window]
|
FIG. 1.
Microbial population dynamics, as determined by
classical methods, and pH curve during natural fermentation of
sausages.
|
|
Optimization of PCR-DGGE.
All of the primers described in
Table 1, which targeted different regions of the 16S rDNA, were
used successfully with DNA extracted from the strains used, but only
the P1/P2 primer set gave PCR products that allowed differentiation by
DGGE. The DGGE profiles obtained for the control strains are shown in
Fig. 2. For almost all of the strains
profiles consisting of more than one band were obtained in the DGGE
analysis. The patterns were reproducible and characteristic for each
species tested, indicating that there was interspecies sequence
divergence. For several strains DGGE bands contained two bands that
migrated very close together (Fig. 2A, lanes 3 to 5), perhaps due to
incomplete extension of the same template due to the GC clamp
(27).

View larger version (78K):
[in this window]
[in a new window]
|
FIG. 2.
DGGE profiles of the PCR products obtained from the
control strains. (A) 30 to 50% denaturant gradient; (B) 40 to 60%
denaturant gradient. Lanes 1, L. brevis DSM 20054; lanes
2, L. casei DSM 20011; lanes 3, L.
alimentarius DSM 20249; lanes 4, L. plantarum
DSM 20174; lanes 5, L. curvatus subsp.
curvatus DSM 20019; lanes 6, L. sake DSM
6333; lanes 7, S. intermedius DSM 20373; lanes 8, S. carnosus subsp. carnosus DSM 20501;
lanes 9, S. simulans DSM 20322; lanes 10, S.
xylosus DSM 6179; lanes 11, K. kristinae DSM
20032; lanes 12, K. varians DSM 20033.
|
|
The 40 to 60% denaturant gradient allowed differentiation of members
of the
Micrococcaceae, distinguishing
Kocuria
strains
from
Staphylococcus strains (Fig.
2B, lanes 7 to
12), while the
30 to 50% denaturant gradient allowed differentiation
of all the
Lactobacillus spp. tested (Fig.
2A, lanes 1 to
6).
Identification of the LAB isolated during fermentation.
A
total of 192 strains of gram-positive, catalase-negative, rod-shaped
bacteria belonging to Lactobacillus spp. were identified by
PCR-DGGE. After DNA extraction and amplification with primers targeting
the V1 region of the 16S rDNA, all of the strains gave the PCR product
of the expected size, which was then analyzed by DGGE. Surprisingly,
only two DGGE profiles were detected, leading to the identification of
all of the isolates as L. sake and L. curvatus.
Figure 3 shows the trends for the two
populations during the ripening period. As shown, in the first stages
of fermentation L. sake was the main LAB present, and only
at the end of maturation did L. curvatus become the
predominant organism.
Fermented sausage DGGE profiles.
Total DNA and RNA were
extracted from each fermented sausage sample independently, and they
were used in PCR and RT-PCR to obtain the V1 region product that was
analyzed by DGGE. No differences in the fingerprints were obtained when
replicates obtained at the same sampling time were analyzed (data not
shown). The patterns obtained by analyzing the PCR products and the
RT-PCR products are shown in Fig. 4 and
5. For both PCR and RT-PCR products, two denaturant gradients were used to maximize differentiation of the
populations involved in fermentation. When the DNA amplicons were
analyzed, diversity was found only at the very beginning of maturation,
when multiple bands were detected. Bands 2 to 6 (Fig. 4A) were obtained
only with the meat mixture and disappeared after 3 days. Only band 1 remained throughout fermentation, although it was a very weak band.
After the third day, an intense band appeared in the gel; this band
migrated in the Lactobacillus sp. spreading region,
revealing the increase in the number of LAB present in the meat
mixture. When the products were analyzed with a gel containing
the 30 to 50% denaturant gradient (Fig. 4B), it was possible to
determine the presence of different lactobacilli, represented by three
species at zero time and by just two species after the third day of
maturation. Bands 1 to 9 (Fig. 4) were excised from the acrylamide gel
and reamplified with primers P1 and P2. After a DGGE analysis to
confirm their relative positions with respect to the original PCR
product obtained from the DNA extracted directly from the sausages,
they were sent to MWG Biotech for sequencing. The results
obtained after alignment are shown in Table 2. Bands 1 to 6 belonged to
Staphylococcus species, whereas bands 7 to 9 were identified
as L. plantarum, L. curvatus, and L. sake, respectively. Only bands 1, 8, and 9 were present throughout
the fermentation. It is probable that for bands 2 to 7 the PCR products
were generated from intact DNA of nonviable cells. When the
results obtained for DNA and RNA were compared, only a few differences
were detected at the beginning of the fermentation (Fig. 5). Different
bands were obtained with the meat mixture, and some were present until
the third day. As described above for the DNA amplicons, for the RNA
PCR products one intense band appeared in the gel on the third day
which remained stable until the end of the maturation period (Fig. 5A).
The Lactobacillus population was again represented by just
two species: L. sake, which was present by itself until the
10th day of fermentation; and L. curvatus, which appeared
during maturation after day 10 (Fig. 5B). Bands of interest were also
excised from the gel in which the RNA amplicons were analyzed, and the
results obtained from sequencing are shown in Table 2. Bands 12, 13, 15, 17, and 18 corresponded to bands 1, 2, 5, 8, and 9 from DNA
amplification, respectively, which indicated that they did not
originate from dead cells. The other bands were identified as
microorganisms that were present as natural contaminants of the meat
used for sausage production and did not have technological importance.

View larger version (76K):
[in this window]
[in a new window]
|
FIG. 4.
DGGE profiles of the DNA amplicons obtained directly
from fermented sausages. Profiles obtained at zero time and after 3, 10, 20, 30, and 45 days of fermentation are shown. (A) 40 to 60%
denaturant gradient; (B) 30 to 50% denaturant gradient. Bands
indicated by numbers were excised and after reamplification subjected
to sequencing.
|
|

View larger version (66K):
[in this window]
[in a new window]
|
FIG. 5.
DGGE profiles of the RNA amplicons obtained directly
from fermented sausages. Profiles obtained at zero time and after 3, 10, 20, 30, and 45 days of fermentation are shown. (A) 40 to 60%
denaturant gradient; (B) 30 to 50% denaturant gradient. Bands
indicated by numbers were excised and after reamplification subjected
to sequencing.
|
|
 |
DISCUSSION |
A molecular approach to monitor the dynamic changes in the main
populations involved in fermentation of Italian sausages was used. This
approach exploited the potential of PCR to amplify, with suitable
primers, regions conserved within the domain Eubacteria, as
well as the discriminatory power of DGGE to differentiate DNA molecules
on the basis of differences in their sequences (20). Fermentation of sausages is a well-known microbial process, and ecological studies during ripening date back to the 1970s
(22). These studies, based on traditional methods,
described the changes in populations during ripening. LAB are the main
population involved in the decrease in pH. Also involved are
representatives of the Micrococcaceae, which neutralize the
organic acids from LAB activity, produce peptides and amino acids due
to their proteolytic activity, and induce the release of various
aromatic substances related to their ability to produce lipases
(10).
In the last few years the possibility of using molecular approaches and
direct sampling of the DNA and/or RNA in complex microbial systems has
opened up areas of research that were already being studied but were
not completely understood because of the biases related to the
traditional methods. With traditional techniques only easily
culturable organisms are counted, and often microorganisms for which
selective enrichment and subculturing is problematic or impossible
cannot be characterized.
In this paper we describe a PCR-DGGE protocol for detecting the
microbial changes during natural fermentation of sausages. The first
step was optimization of the method by using standard cultures obtained
from international collections to determine the experimental conditions
for amplification by PCR and differentiation by DGGE. Different sets of
primers were selected from those available and used for the PCR-DGGE
analysis. Only primers P1 and P2 (19) were considered
suitable for obtaining good differentiation among Lactobacillus, Staphylococcus, and
Kocuria spp. without band comigration for different species.
In mixed populations, individual members were identified by PCR-DGGE
when the concentrations were more than 104 CFU/g,
which allowed detection of species at a threshold level during
fermentation (data not shown). Results were obtained with two different
denaturant gradients in the DGGE gels. A 30 to 50% denaturant gradient
was optimal for differentiation of Lactobacillus spp.,
whereas gels with a 40 to 60% denaturant gradient could be used to
distinguish the Staphylococcus and Kocuria spp.
The method was used to monitor the population dynamics during natural
fermentation of sausages. Both DNA and RNA were sampled directly in
order to determine the levels of expression of the 16S rDNA of the most
prominent bacteria, which may reflect their contributions to the
fermentation process. Gels were visually inspected to identify the
bands representing the populations involved in the fermentation. To
circumvent the biases inherent in subjective interpretation, the
presence of the bands was confirmed by direct sequencing. When the
results obtained from both traditional plating and DGGE were analyzed,
it became evident that the fermentation was characterized by strong LAB
activity. In DNA and RNA DGGE gels, multiple bands were visible for the
first 3 days of fermentation, when different species, most of which
were related to Staphylococcus spp., were identified. From
the 10th day of maturation only the LAB bands were present. The main
difference detected by sampling RNA rather than DNA was the
presence of natural meat contaminants, such as Brochothrix
thermosphacta, Enterococcus sp., Leuconostoc mesenteroides, and Brevibacillus sp., which were not
present after the third day. Staphylococcus species,
recognized as proteolytic agents due to their ability to produce
proteases, were found only in the meat mixture before sausages were
filled and after 3 days. The only Staphylococcus species
represented in the DGGE gel after 3 days was S. xylosus,
which produced a specific band in the gel until the end of
fermentation. It is important to emphasize that a corresponding
S. xylosus band was not found when the RNA amplicons were
analyzed, since band 12 was present only at zero time and 3 days and
then disappeared. This could be explained by the large quantity of LAB
RNA, which restricted amplification of RNA from different species present.
The presence of multiple copies of the rRNA operon, as described
previously for other microorganisms (8, 18, 26), made evaluation of the profiles obtained from single cultures difficult, but
it did not affect interpretation of the fingerprints obtained from the
total DNA and RNA extracted directly from sausages during fermentation.
The profiles obtained by DGGE agreed with the results obtained by
traditional methods. The LAB population was the largest population
during fermentation. The LAB strains isolated at the different steps of
fermentation were all identified by PCR-DGGE as L. sake and
L. curvatus. These results were in complete agreement with
the profiles obtained when both DNA and RNA amplicons were analyzed,
where the bands identified as Lactobacillus belonged to the
two species mentioned above. When the DNA was sampled, a single band
referred to L. plantarum was found only at zero time.
The PCR product was probably generated from dead cells, since no
L. plantarum cells were isolated at zero time and no specific signal was detected in the RNA amplicons. Moreover, the specific band obtained from DNA disappeared after the first sampling. S. xylosus might have been the only
Staphylococcus species present, as previously described by
other authors (5, 7), justifying the band present in the
gels in which DNA was analyzed.
The characteristic increase in pH that follows the initial decrease due
to acid production by LAB is usually caused by proteolytic activity
attributed mainly to endogenous muscle cathepsins in the initial phase
(29) and to the ability of staphylococci to produce
proteases in the second stage (6). In our opinion, in this
study the increase in pH after 10 days of ripening could not be
explained by the Micrococcaceae activity because of the low
number of cells present but could be explained by attributing an
extracellular proteinase activity to LAB. As previously described (12), L. sake and L. curvatus are
able to use muscle sarcoplasmatic proteins as substrates, which results
in peptide production that could play a role in the increase in the pH.
L. sake and L. curvatus are the only two species
isolated from sausages that remained stable throughout the
fermentation, and they were responsible for the proteolytic activity
that resulted in a final pH of 5.56.
The DGGE approach was first used in environmental ecology studies, such
as sea sediments (23), hot springs (13, 31), or wastewater treatment plants (14), and in studies of the
populations present in the rumen (21) or gastrointestinal
contents (30, 33). Only in the last year was the
same approach used to study microbial systems such as food
fermentation, in which many microorganisms are difficult to cultivate
or are thought to be nonculturable. DGGE has been used to monitor the
microbial dynamics during production of the Mexican fermented maize
dough pozol (2, 3) and to monitor the dynamic changes
during wine fermentation (4). By applying the method to
the natural fermentation of sausages, we were able to determine that
LAB, represented by L. sake and L. curvatus, were
the main organisms responsible for the physical and organoleptic
changes that occurred during fermentation of the sausages tested.
Micrococcaceae strains had restricted importance during
production compared to LAB. Their high levels and acid production made
the LAB the only active population, as determined by both DNA and RNA
DGGE analyses, in transformation of fermented sausages from Friuli
Venezia Giulia, making them potential starter cultures for this kind of
production. Moreover, the ability to monitor the population by PCR-DGGE
could provide real time information concerning the state of
fermentation. Since the results are available 8 h after
sampling, immediate technological adjustments can be made when they are required.
 |
ACKNOWLEDGMENT |
We express our gratitude to Kalliopi Rantsiou, University of
California, Davis, for a critical and careful review of the manuscript.
 |
FOOTNOTES |
*
Corresponding author. Mailing address: Dipartimento di
Scienze degli Alimenti, Via Marangoni 97, 33100 Udine, Italy. Phone: 0039/0432/590-746 or 0039/0432/590-730. Fax: 0039/0432/590-719. E-mail:
luca.cocolin{at}dsa.uniud.it.
 |
REFERENCES |
| 1.
|
Altschul, S. F.,
T. L. Madden,
A. A. Schäffer,
J. Zhang,
Z. Zhang,
W. Miller, and D. J. Lipman.
1997.
Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.
Nucleic Acids Res.
25:3389-3402[Abstract/Free Full Text].
|
| 2.
|
Ampe, F.,
N. ben Omar,
C. Moizan,
C. Wacher, and J.-P. Guyot.
1999.
Polyphasic study of the spatial distribution of microorganisms in Mexican pozol, a fermented maize dough, demonstrates the need for cultivation-independent methods to investigate traditional fermentations.
Appl. Environ. Microbiol.
65:5464-5473[Abstract/Free Full Text].
|
| 3.
|
ben Omar, N., and F. Ampe.
2000.
Microbial community dynamics during production of the Mexican fermented maize dough pozol.
Appl. Environ. Microbiol.
66:3664-3673[Abstract/Free Full Text].
|
| 4.
|
Cocolin, L.,
L. F. Bisson, and D. A. Mills.
2000.
Direct profiling of the yeast dynamics in wine fermentations.
FEMS Microbiol. Lett.
189:81-87[CrossRef][Medline].
|
| 5.
|
Cocolin, L.,
M. Manzano,
D. Aggio,
C. Cantoni, and G. Comi.
2000.
A novel polymerase chain reaction (PCR)-denaturing gradient gel electrophoresis (DGGE) for the identification of Micrococcaceae strains involved in meat fermentations. Its application to naturally fermented Italian sausages.
Meat Sci.
57:59-64[CrossRef].
|
| 6.
|
Comi, G.,
B. Citterio,
M. Manzano,
C. Cantoni, and M. de Bertoldi.
1992.
Evaluation and characterization of Micrococcaceae strains in Italian fermented dry sausages.
Fleischwirtshaft
72:1679-1685, 1693-1697.
|
| 7.
|
Coppola, R.,
M. Iorizzo,
R. Saotta,
E. Sorrentino, and L. Grazia.
1997.
Characterization of micrococci and staphylococci isolated from soppressata molisana, a Southern Italy fermented sausage.
Food Microbiol.
14:47-53.
|
| 8.
|
Dahllof, I.,
H. Baillie, and S. Kjelleberg.
2000.
rpoB-based microbial community analysis avoids limitations inherent in 16S rRNA gene intraspecies heterogeneity.
Appl. Environ. Microbiol.
66:3376-3380[Abstract/Free Full Text].
|
| 9.
|
del Carmen de la Rosa, M.,
M. R. Mohino,
M. Mohino, and M. A. Mosso.
1990.
Characteristics of micrococci and staphylococci isolated from semi-preserved meat products.
Food Microbiol.
7:207-215[CrossRef].
|
| 10.
|
Demeyer, D.,
J. Hooze, and H. Mesdom.
1974.
Specificity of lipolysis during dry sausages ripening.
J. Food Sci.
39:293-296[CrossRef].
|
| 11.
|
Demeyer, D. I.,
A. Verplaetse, and M. Gistelink.
1986.
Fermentation of meat: an integrated process.
Belg. J. Food Chem. Biotechnol.
41:131-140.
|
| 12.
|
Fadda, S.,
Y. Sanz,
G. Vignolo,
M.-C. Aristoy,
G. Oliver, and F. Toldrá.
1999.
Hydrolysis of pork muscle sarcoplasmic proteins by Lactobacillus curvatus and Lactobacillus sake.
Appl. Environ. Microbiol.
65:578-584[Abstract/Free Full Text].
|
| 13.
|
Ferris, M. J.,
G. Muyzer, and D. M. Ward.
1996.
Denaturing gradient gel electrophoresis profiles of 16S rRNA-defined populations inhabiting a hot spring microbial mat community.
Appl. Environ. Microbiol.
62:340-346[Abstract].
|
| 14.
|
Godon, J. J.,
E. Zumstein,
P. Dabert,
F. Habouzit, and R. Moletta.
1997.
Molecular microbial diversity of an anaerobic digestor as determined by small-subunit rDNA sequence analysis.
Appl. Environ. Microbiol.
63:2802-2813[Abstract].
|
| 15.
|
Heuer, H., and K. Smalla.
1997.
Application of denaturing gradient gel electrophoresis (DGGE) and temperature gradient gel electrophoresis (TGGE) for studying soil microbial communities, p. 353-373.
In
J. D. van Elsas, E. M. H. Wellington, and J. T. Trevors (ed.), Modern soil microbiology. Marcel Dekker, Inc, New York, N.Y.
|
| 16.
|
Hugas, M.,
M. Garriga,
T. Aymerich, and J. M. Monfort.
1993.
Biochemical characterization of lactobacilli from dry fermented sausages.
Int. J. Food Microbiol.
18:107-113[CrossRef][Medline].
|
| 17.
|
Hugenholtz, P.,
B. M. Goebbel, and N. R. Pace.
1998.
Impact of culture-independent studies on the emerging phylogenetic view of bacterial diversity.
J. Bacteriol.
180:4765-4774[Free Full Text].
|
| 18.
|
Johansen, T.,
C. R. Carlson, and A. B. Kolsto.
1996.
Variable numbers of rRNA gene operons in Bacillus cereus strains.
FEMS Microbiol. Lett.
136:325-328[Medline].
|
| 19.
|
Klijn, N.,
A. H. Weerkamp, and W. M. deVos.
1991.
Identification of mesophilic lactic acid bacteria by using polymerase chain reaction-amplified variable regions of 16S rRNA and specific DNA probes.
Appl. Environ. Microbiol.
57:3390-3393[Abstract/Free Full Text].
|
| 20.
|
Lerman, L. S.,
S. G. Fischer,
I. Hurley,
K. Silverstein, and N. Lumelsky.
1984.
Sequence-determined DNA separation.
Annu. Rev. Biophys. Bioeng.
13:399-423[CrossRef][Medline].
|
| 21.
|
Lin, C., and D. A. Stahl.
1995.
Taxon-specific probes for the cellulolytic genus Fibrobacter reveal abundant and novel equine-associated populations.
Appl. Environ. Microbiol.
61:1348-1351[Abstract].
|
| 22.
|
Lucke, F. K.
1974.
Fermented sausages, p. 41-49.
In
B. J. B. Wood (ed.), Microbiology of fermented foods. Applied Science Publishers, London, England.
|
| 23.
|
Muyzer, G.,
E. C. de Waal, and A. G. Uitterlinden.
1993.
Profiling of complex microbial populations by denaturing gradient gel electrophoresis analysis of polymerase chain reaction-amplified genes coding for 16S rRNA.
Appl. Environ. Microbiol.
59:695-700[Abstract/Free Full Text].
|
| 24.
|
Muyzer, G.,
S. Hottentrager,
A. Teske, and C. Wawer.
1995.
Denaturing gradient gel electrophoresis of PCR-amplified 16S rDNA a new molecular approach to analyse the genetic diversity of mixed microbial communities, p. 1-23.
In
A. D. L. Akkermans, J. D. van Elsas, and F. J. de Bruijn (ed.), Molecular microbial ecology manual. Kluwer Academic Publishers, Dordrecht, The Netherlands.
|
| 25.
|
Myers, R. M.,
T. Maniatis, and L. S. Lerman.
1987.
Detection and localization of single base changes by denaturing gel electrophoresis.
Methods Enzymol.
155:501-527[Medline].
|
| 26.
|
Nubel, U.,
B. Engelen,
A. Felske,
J. Snaidr,
A. Wieshuber,
R. I. Amann,
W. Ludwig, and H. Backhaus.
1996.
Sequence heterogeneities of genes encoding 16S rRNAs in Paenibacillus polymyxa detected by temperature gradient gel electrophoresis.
J. Bacteriol.
178:5636-5643[Abstract/Free Full Text].
|
| 27.
|
Rosado, A. S.,
G. F. Duarte,
L. Seldin, and J. D. van Elsas.
1998.
Genetic diversity of nifH gene sequences in Paenibacillus azotofixans strains and soil samples analyzed by denaturing gradient gel electrophoresis of PCR-amplified gene fragments.
Appl. Environ. Microbiol.
64:2770-2779[Abstract/Free Full Text].
|
| 28.
|
Sheffield, V. C.,
D. R. Cox,
L. S. Lerman, and R. M. Myers.
1989.
Attachment of a 40-base pair G+C-rich sequence (GC-clamp) to genomic DNA fragments by the polymerase chain reaction results in improved detection of single-base changes.
Proc. Natl. Acad. Sci. USA
86:232-236[Abstract/Free Full Text].
|
| 29.
|
Verplaetse, A.
1994.
Influence of raw meat properties and processing technology on aroma quality of raw fermented meat products, p. 45-65.
In
Proceedings of the 40th International Congress on Meat Science and Technology.
|
| 30.
|
Walter, J.,
G. W. Tannock,
A. Tilsala-Timisjarvi,
S. Rodtong,
D. M. Loach,
K. Munro, and T. Alatossava.
2000.
Detection and identification of gastrointestinal Lactobacillus species by using denaturing gradient gel electrophoresis and species-specific PCR primers.
Appl. Environ. Microbiol.
66:297-303[Abstract/Free Full Text].
|
| 31.
|
Ward, D. M.,
M. J. Ferris,
S. C. Nold, and M. M. Bateson.
1998.
A natural view of microbial biodiversity within hot spring cyanobacterial mat communities.
Microbiol. Mol. Biol. Rev.
62:1353-1367[Abstract/Free Full Text].
|
| 32.
|
Zambonelli, C.,
F. Papa,
P. Romano,
G. Suzzi, and L. Grazia.
1992.
Microbiologia dei salumi.
Edagricole, Bologna, Italy.
|
| 33.
|
Zoetendal, E. G.,
A. D. L. Akkermans, and W. M. de Vos.
1998.
Temperature gradient gel electrophoresis analysis of 16S rRNA from human fecal samples reveals stable and host-specific communities of active bacteria.
Appl. Environ. Microbiol.
64:3854-3859[Abstract/Free Full Text].
|
Applied and Environmental Microbiology, November 2001, p. 5113-5121, Vol. 67, No. 11
0099-2240/01/$04.00+0 DOI: 10.1128/AEM.67.11.5113-5121.2001
Copyright © 2001, American Society for Microbiology. All rights reserved.
This article has been cited by other articles:
-
Kagkli, D.-M., Iliopoulos, V., Stergiou, V., Lazaridou, A., Nychas, G.-J.
(2009). Differential Listeria monocytogenes Strain Survival and Growth in Katiki, a Traditional Greek Soft Cheese, at Different Storage Temperatures. Appl. Environ. Microbiol.
75: 3621-3626
[Abstract]
[Full Text]
-
Trmcic, A., Obermajer, T., Rogelj, I., Bogovic Matijasic, B.
(2008). Short Communication: Culture-Independent Detection of Lactic Acid Bacteria Bacteriocin Genes in Two Traditional Slovenian Raw Milk Cheeses and Their Microbial Consortia. J DAIRY SCI
91: 4535-4541
[Abstract]
[Full Text]
-
Arakawa, K., Kawai, Y., Iioka, H., Tanioka, M., Nishimura, J., Kitazawa, H., Tsurumi, K., Saito, T.
(2008). Microbial Community Analysis of Food-Spoilage Bacteria in Commercial Custard Creams Using Culture-Dependent and Independent Methods. J DAIRY SCI
91: 2938-2946
[Abstract]
[Full Text]
-
Villani, F., Casaburi, A., Pennacchia, C., Filosa, L., Russo, F., Ercolini, D.
(2007). Microbial Ecology of the Soppressata of Vallo di Diano, a Traditional Dry Fermented Sausage from Southern Italy, and In Vitro and In Situ Selection of Autochthonous Starter Cultures. Appl. Environ. Microbiol.
73: 5453-5463
[Abstract]
[Full Text]
-
Fontana, C., Cocconcelli, P. S., Vignolo, G.
(2006). Direct Molecular Approach to Monitoring Bacterial Colonization on Vacuum-Packaged Beef. Appl. Environ. Microbiol.
72: 5618-5622
[Abstract]
[Full Text]
-
Cocolin, L., Urso, R., Rantsiou, K., Cantoni, C., Comi, G.
(2006). Multiphasic Approach To Study the Bacterial Ecology of Fermented Sausages Inoculated with a Commercial Starter Culture. Appl. Environ. Microbiol.
72: 942-945
[Abstract]
[Full Text]
-
Bae, J.-W., Rhee, S.-K., Park, J. R., Chung, W.-H., Nam, Y.-D., Lee, I., Kim, H., Park, Y.-H.
(2005). Development and Evaluation of Genome-Probing Microarrays for Monitoring Lactic Acid Bacteria. Appl. Environ. Microbiol.
71: 8825-8835
[Abstract]
[Full Text]
-
Rantsiou, K., Urso, R., Iacumin, L., Cantoni, C., Cattaneo, P., Comi, G., Cocolin, L.
(2005). Culture-Dependent and -Independent Methods To Investigate the Microbial Ecology of Italian Fermented Sausages. Appl. Environ. Microbiol.
71: 1977-1986
[Abstract]
[Full Text]
-
Lafarge, V., Ogier, J.-C., Girard, V., Maladen, V., Leveau, J.-Y., Gruss, A., Delacroix-Buchet, A.
(2004). Raw Cow Milk Bacterial Population Shifts Attributable to Refrigeration. Appl. Environ. Microbiol.
70: 5644-5650
[Abstract]
[Full Text]
-
Yu, Z., Morrison, M.
(2004). Comparisons of Different Hypervariable Regions of rrs Genes for Use in Fingerprinting of Microbial Communities by PCR-Denaturing Gradient Gel Electrophoresis. Appl. Environ. Microbiol.
70: 4800-4806
[Abstract]
[Full Text]
-
Cocolin, L., Rantsiou, K., Iacumin, L., Urso, R., Cantoni, C., Comi, G.
(2004). Study of the Ecology of Fresh Sausages and Characterization of Populations of Lactic Acid Bacteria by Molecular Methods. Appl. Environ. Microbiol.
70: 1883-1894
[Abstract]
[Full Text]
-
Aymerich, T., Martin, B., Garriga, M., Hugas, M.
(2003). Microbial Quality and Direct PCR Identification of Lactic Acid Bacteria and Nonpathogenic Staphylococci from Artisanal Low-Acid Sausages. Appl. Environ. Microbiol.
69: 4583-4594
[Abstract]
[Full Text]
-
Duthoit, F., Godon, J.-J., Montel, M.-C.
(2003). Bacterial Community Dynamics during Production of Registered Designation of Origin Salers Cheese as Evaluated by 16S rRNA Gene Single-Strand Conformation Polymorphism Analysis. Appl. Environ. Microbiol.
69: 3840-3848
[Abstract]
[Full Text]
-
Ercolini, D., Hill, P. J., Dodd, C. E. R.
(2003). Bacterial Community Structure and Location in Stilton Cheese. Appl. Environ. Microbiol.
69: 3540-3548
[Abstract]
[Full Text]
-
Meroth, C. B., Walter, J., Hertel, C., Brandt, M. J., Hammes, W. P.
(2003). Monitoring the Bacterial Population Dynamics in Sourdough Fermentation Processes by Using PCR-Denaturing Gradient Gel Electrophoresis. Appl. Environ. Microbiol.
69: 475-482
[Abstract]
[Full Text]
-
Zuniga, M., Miralles, M. d. C., Perez-Martinez, G.
(2002). The Product of arcR, the Sixth Gene of the arc Operon of Lactobacillus sakei, Is Essential for Expression of the Arginine Deiminase Pathway. Appl. Environ. Microbiol.
68: 6051-6058
[Abstract]
[Full Text]
-
Ogier, J.-C., Son, O., Gruss, A., Tailliez, P., Delacroix-Buchet, A.
(2002). Identification of the Bacterial Microflora in Dairy Products by Temporal Temperature Gradient Gel Electrophoresis. Appl. Environ. Microbiol.
68: 3691-3701
[Abstract]
[Full Text]