e.coli Pada Bahan Baku Makanan toksik
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Screening food raw materials for the presenceof the world's most frequent clinical cases of Shiga toxin-encoding Escherichia coli O26,O103, O111, O145 and O157
ARTICLE in INTERNATIONAL JOURNAL OF FOOD MICROBIOLOGY · MARCH 2007
Impact Factor: 3.08 · DOI: 10.1016/j.ijfoodmicro.2006.08.014 · Source: PubMed
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Screening food raw materials for the presence of the world's most frequent
clinical cases of Shiga toxin-encoding Escherichia coli
O26, O103, O111, O145 and O157
Sylvie Perelle, Françoise Dilasser, Joël Grout, Patrick Fach ⁎
AFSSA, Agence Française de Sécurité Sanitaire des Aliments (French Agency for Food Safety),
Laboratoire d'Etudes et de Recherches sur la Qualité des Aliments et sur les Procédés Agroalimentaires (LERQAP),
Unité EBA: Etude moléculaire des contaminants biologiques alimentaires, 23 avenue du Général de Gaulle, 94700 Maisons-Alfort, France
Received 3 November 2005; received in revised form 28 April 2006; accepted 12 August 2006
Abstract
This work aims to provide a strategy for rapidly screening food raw materials of bovine origin for the presence of the most frequent O-
serogroups of Shiga toxin-encoding Escherichia coli (STEC) involved in food poisoning outbreaks. The prevalence of highly pathogenic
serogroups of STEC was surveyed in 25 g portions of minced meat and raw milk using PCR-ELISA and multiplex real-time PCR assays. The
prevalence of STEC in raw milk (n =205) and meat samples (n =300) was 21% and 15%, respectively. Contamination by the main pathogenic
E. coli O-serogroups representing a major public health concern, including O26, O103, O111, O145, and O157, was potentially around 2.6% in
minced meat and 4.8% in raw milk. The MPN values showed an overall contamination ranging from 1 to 2 MPN cells from highly pathogenic
serogroups/kg. This survey would indicate that the human pathogenic potential of STEC present in these samples probably remains limited. No
conclusion can be drawn at the moment concerning a potential risk for consumers. This rapid screening approach for evaluating the potential
presence of highly pathogenic serogroups of STEC in food raw materials should help to improve risk assessment of food poisoning outbreaks.© 2006 Elsevier B.V. All rights reserved.
Keywords: STEC; O-serogroup; Real-time PCR; Food testing
1. Introduction
Since the early 1980s, Shiga toxin-producing Escherichia
coli (STEC) have emerged as a major cause of food-borne
infections (Karmali et al., 1983; Riley et al., 1983). STEC can
cause diarrhea and hemorrhagic colitis (HC) and may lead to
haemolytic uraemic syndrome (HUS). In Europe, HUS is now believed to be the commonest cause of acute renal failure in
children, and may be fatal in up to 10% of cases (Padhye and
Doyle, 1992). Infections may result from direct contact with
animals or their faeces (Locking et al., 2001) but most human
infections originate from the consumption of contaminated
water or raw or undercooked food. A range of different
foodstuffs including vegetables, salad bar items, fruit, salami,
and fresh cheese made of raw goats' and cows' milk have been
epidemiologically implicated in serotype O157 outbreaks
(Besser et al., 1993; CDC, 1995; Del Rosario and Beuchat,
1995; Deschenes et al., 1996). Nevertheless, raw meat, in
particular beef, has been considered as the principal source of
STEC (Karmali, 1989), and ruminants are still considered the
major STEC reservoir. While numerous outbreaks have been
attributed to STEC strains of serotype O157:H7, it has beenestablished that STEC strains causing gastrointestinal diseases
in humans may well belong to more than 100 serotypes
(Karmali, 1989; Russmann et al., 1995; Paton and Paton, 1998;
Nataro and Kaper, 1998). However, the value of screening for
the presence of the stx gene sequences remains controversial,
since not all STEC prove to be clinically significant in humans.
A better understanding of the scientific basis for the difference
in virulence between serotypes would help to identify specific
targets characterizing strains that pose a significant risk in
human diseases. However, although certain differences in viru-
lence between groups of STEC strains have been related to the
International Journal of Food Microbiology 113 (2007) 284 –288
www.elsevier.com/locate/ijfoodmicro
⁎ Corresponding author. Tel.: +33 1 4977 2813; fax: +33 1 4368 9762.
E-mail address: [email protected] (P. Fach).
0168-1605/$ - see front matter © 2006 Elsevier B.V. All rights reserved.doi:10.1016/j.ijfoodmicro.2006.08.014
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presence of specific pathogenicity islands (PAIs), e.g. the locus
of enterocyte effacement (LEE), the scientific bases for as-
sessing the potential virulence of STEC have not yet been
elucidated (Karmali et al., 2003). Several reports have
mentioned O26, O103, O111, O145 and O157:H7 as the most
frequent O-serogroups involved in food poisoning outbreaks,
leading STEC strains from these O-serogroups to be consideredas the world's main pathogenic strains with implications for
public health. Despite several real-time PCR O-serotyping
assays are available to rapidly determine certain STEC
serogroups (Sharma, 2002; Perelle et al., 2004, 2005), surveys
in foods have rarely focused on these five major serogroups. It is
extremely important to evaluate natural contamination of raw
milk and beef meat by STEC O26, STEC O103, STEC O111,
STEC O145 and STEC O157:H7 for efficient risk assessment of
food poisoning outbreaks, but there are still few prevalence data
available.
The aim of this study was to evaluate the prevalence of these
STEC O-serogroups in minced meat and raw milk samplescollected in France. The study method is based on enrichment of
samples in a nutrient broth before positive STEC screening
using a recently developed duplex 5′-nuclease PCR assay
(Perelle et al., 2004) targeting the stx genes, followed by a
newly developed multiplex 5′-nuclease PCR test specific for
E. coli O26, E. coli O103, E. coli O111, E. coli O145 and
E. coli O157. The advantages and disadvantages of using such a
strategy for foods analysis are discussed.
2. Materials and methods
2.1. Food samples
More than five hundred samples of bovine origin were
collected in France from different geographical areas across
the country during a period of 12 months. They arrived at the
laboratory by rapid cold road transport and were processed on
arrival. The samples of food raw materials were raw milk
(n =205) collected in several dairies and minced meat (n =300)
collected in different abattoirs. Beef meat was cut using sterile
instruments, placed in individual plastic bags, homogenized
in a stomacher blender for 120 s, and then stored at −20 °C
until use. Raw milk samples were stored at 4 °C. The sample
quantities prepared were approximately 25 g for each sam-
ple. The samples were stored not longer than 48 h beforeinvestigation.
2.2. Enrichment procedure and DNA extraction
Samples of 25 g of raw material were diluted tenfold (wt/vol)
in 225 ml of modified EC medium containing 20 mg l− 1 of
novobiocin (mEC+n broth), and incubated at 37 °C overnight.
After incubation, a 1 ml aliquot of the enrichment broth was
collected for DNA extraction. This aliquot was centrifuged for
5 min at 9000 g , and the supernatant was discarded. The cell
pellets were then DNA-extracted using InstaGene Matrix™
(Bio-Rad Laboratories, Marnes-La-Coquette, France) and the
DNA was stored at −20 °C until PCR testing.
2.3. Food PCR detection
To detect STEC in food samples, we used the PCR-ELISA
described previously (Fach et al., 2001). Briefly, four
degenerated oligonucleotides targeting the most well-con-
served sequences in the stx genes were designed for screening
stx1 and stx2 gene sequences in food products (Fach et al.,2001). Two oligonucleotides were designed as primers to
amplify approximately 500 bp fragments from stx genes, while
the two others were used as capture and detection probes in a
sandwich hybridization assay. The capture probe was labelled
with biotin and bound to streptavidin-coated microtiter plates,
while the detection probe was labelled with digoxigenin. After
alkaline denaturation of the PCR products, hybridization oc-
curred with the two probes in the streptavidin-coated microtiter
plates. In a similar way to ELISA technology, hybrids were
detected using a peroxidase anti-digoxigenin conjugate, and
the final enzymatic reaction of the test gave a colorimetric
signal measured with a microtiter plate reader. To identify possible PCR inhibitors derived from the food samples, an
internal amplification control (IAC) was included which co-
amplified with stx target genes. PCR products derived from the
IAC were detected with a specific set of capture and detection
probes (Fach et al., 2001). The PCR-ELISA positive samples
were further tested in a newly developed multiplex real-time
PCR assay screening for E. coli O26, E. coli O103, E. coli
O111, E. coli O145 and E. coli O157. This multiplex PCR test
is based on primers and probes targeting the O-antigen gene
clusters of E. coli O26, E. coli O111 and E. coli O157, the eae
gene of E. coli O103, and the O-island 29 of E. coli O145, as
described in a previous study (Perelle et al., 2004). Multiplex
amplifications were performed using 20 μl of reaction mixturecontaining 1× concentration of a LightCycler-Faststart DNA
master hybridization probes mix (Roche Diagnostics, Meylan,
France), 5 mM MgCl2, 500 nM of each primer, 200 nM of each
FAM-TAMRA labelled probe, and 2 μl of the template DNA.
Positive controls using appropriate purified plasmid DNA
(Perelle et al., 2004) and two negative controls containing
all the reagents except the DNA template were included
with each amplification set. Cycling was carried out in the
LightCycler instrument (Roche Diagnostics). The amplifica-
tion started with an initial denaturing step at 95 °C for 10 min,
followed by 40 cycles at 95 °C for 10 s with a temperature
transition rate of 20 °C/s, and 60 °C for 30 s with a temperaturetransition rate of 10 °C/s, and then a cooling step at 40 °C for
30 s. The generation of fluorescence for each sample was
monitored at the end of the elongation steps in the F1/F2
channel (530 nm). A fluorescent signal 10-fold higher than the
standard deviation of the mean baseline emission indicated a
positive detection. Ct was defined as the PCR cycle at which
the fluorescent intensity exceeds the threshold. Finally,
samples tested positive by the multiplex real-time PCR assay
were further tested in simplex real-time PCR assays to identify
the exact pathogenic E. coli O-serogroups concerned, as
well as in an stx-typing 5′-nuclease PCR assay (Perelle et al.,
2004). The method proposed in our study is summarized
in Fig. 1.
285S. Perelle et al. / International Journal of Food Microbiology 113 (2007) 284 – 288
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2.4. Determination of MPN counts
The survey data were converted to MPN counts as
previously proposed (Halvorson and Ziegler, 1933). MPNs
were calculated using the following formula: MPN=Ln(n / q),
where n is the number of samples tested and q the number of
negative samples.
3. Results and discussion
A total of 505 food raw materials of bovine origin were
screened by PCR for the presence of the most frequent O-
serogroups of STEC involved in food poisoning outbreaks.
Screening of STEC was performed by PCR-ELISA with an IAC
to monitor false negative results due to sample PCR inhibitors
(Fach et al., 2001). STEC-positive samples were further tested
in the newly developed multiplex real-time PCR assay for
E. coli O26, E. coli O103, E. coli O111, E. coli O145 and
E. coli O157. Finally, samples tested positive by the multiplex
real-time PCR assay were further tested in simplex real-time
PCR assays to identify the exact pathogenic E. coli O-
serogroups concerned, as well as in an stx-typing 5′-nucleasePCR assay (Perelle et al., 2004).
The prevalence of STEC-positive samples as determined by
PCR-ELISA was 17.4% (Table 1). Forty-five (15%) of the 300
samples of beef meat and 43 (21%) of the 205 samples of raw
milk were positive for STEC in PCR-ELISA. Seventy-four
(84%) of the 88 positive samples were confirmed positive by
stx-typing with 5′-nuclease PCR assay. This difference between
the PCR-ELISA and 5′-nuclease PCR may be due either to the
Table 1
Evaluation of the prevalence of STEC O26, O103, O111, O145 and O157 in food raw materials of bovine origin
Sample type Number
tested
Number of positive samples Most
probable
number/
kg a
PCR-ELISA Typing of the stx genes by 5′-nuclease PCR Specific O-serogroup identification of STEC-positive samples
Number
(%)
Number
(%)
(Number of samples)
Minced meat
(beef)
300 45 (15%) 2 stx1 (4.6%), 28 stx2 (65%),
and 13 stx1+ stx2 (30.2%)
O145 (4), O157 (1), O145+O157 (1), O145+O103 (1),
and O157+O103 (1)
1
(Total=8)
Raw milk 205 43 (21%) 12 stx1 (38.7%), 10 stx2 (32.2%),
and 9 stx1+ stx2 (29%)
O145 (4), O103 (1), O145+O157 (3), O145+O103 (1),
and O145+O26 (1)
2
(Total=10)
Total 505 88 (17.4%) 14 stx1 (18.9%), 38 stx2 (51.3%),
and 22 stx1+ stx2 (29.7%)
O145 (8), O157 (1), O103 (1), O145+O157 (4),
O145+O103 (2), O145+O26 (1), and O157+O103 (1)
1–2
(Total = 74) (Total = 18)
a According to Halvorson and Ziegler (1933).
Fig. 1. Flow diagram illustrating the preparation of food samples and the different screening steps for evaluating the presence of STEC serogroups of major public
health concern.
286 S. Perelle et al. / International Journal of Food Microbiology 113 (2007) 284 – 288
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different quantities of DNA tested in the two PCR tests (10 μl in
PCR-ELISA against 2 μl in real-time PCR), to the presence of
PCR inhibitors in the samples which may have affected each
PCR system differently, or to possible STEC variants that
cannot be equally detected with the two PCR systems, which
would be in agreement with the increasing number of variants
described in the literature over the last few years (Gyles et al.,
1988; Weinstein et al., 1988; Gannon et al., 1990; Ito et al.,
1990; Hii et al., 1991; Lin et al., 1993; Kim et al., 1997; Paton
et al., 1992, 1993a,b, 1995; Pierard et al., 1998). These variants
have usually been described as Stx2 strains of STEC, while
variants derived from Stx1 strains have rarely been reported
(Paton et al., 1993a, 1995). 5′-nuclease PCR typing of the stx
genes demonstrated that 14 (19%) samples carried stx1 genes,
38 (51.3%) carried stx2 genes, and 22 (29.7%) carried both stx1and stx2 genes (Table 1).
Multiplex real-time PCR detection of E. coli O26, E. coli
O103, E. coli O111, E. coli O145 and E. coli O157 confirmed
only 18 positives out of the 74 positives obtained by the 5′-
nuclease PCR targeting the stx genes. This suggests that the
overall contamination by the main pathogenic E. coli O-
serogroups of major public health concern was around 3.5% in
these food samples, broken down as 2.6% in minced meat and
4.8% in raw milk. The MPN values would indicate an overall
potential contamination ranging from 1 to 2 MPN STEC cells of highly pathogenic serogroup/kg, meaning that contamination of
beef meat and raw milk by highly pathogenic serogroups of
STEC is very low, and that the risk of consumer infection by
human pathogenic strains of STEC present in these samples is
probably very minor.
The 18 samples tested positive in multiplex real-time PCR
were identified with high precision by simplex real-time PCR
(Table 1). Eight samples were positive with E. coli O145, 1
sample was positive with E. coli O103, 1 sample was positive
with E. coli O157, 4 samples were positive with both E. coli
O145 and E. coli O157, 2 samples were positive with both
E. coli O103 and E. coli O145, 1 sample was positive with both
E. coli O103 and E. coli O157, and 1 sample was positive with
both E. coli O26 and E. coli O145. None of the samples
analyzed tested positive with E. coli O111. The overall
contamination of beef meat and raw milk by E. coli O157
was 1%, which is in strong agreement with the reported
worldwide E. coli O157 incidence in these food products. The
prevalence of E. coli O26 and E. coli O103 was very low at 1
and 3 positive samples, respectively, which is in the lower range
of worldwide reported incidence for these two serotypes. The
prevalence of E. coli O145 (positive in 3% of samples) was
unexpectedly higher than the prevalence of other serogroups.
This study demonstrates that different O-serogroups of
E. coli of major public health concern are able to enter the
processing chain in the meat and dairy industries. However,there is increasing evidence in the literature that many of these
STEC O-serogroups may not produce Shiga-toxin, nor will
they posses the stx genes. Fig. 2 illustrates that both toxigenic
( stx-positive) and non-toxigenic ( stx-negative) strains coex-
isted within each O-serogroup. Therefore, when both stx and
O-serogroup gene sequences were detected in certain foods
(2.6% of minced meat and 4.8% of raw milk), there was no
evidence that these signals were displayed by a pathogenic E.
coli strain. As mentioned in Fig. 1, isolation of clones from the
food mixture should be performed to confirm or notthe positive
presumptive result. But, this isolation step is still problematic
and time-consuming using the current commercially availablemedia. Whatever the difficulties to isolate STEC from foods,
the idea of combining detection of stx and genes encoding O-
groups is a good approach along our way to optimise methods
for detection of pathogenic STEC. The rapid (within 36 h)
detection and typing of the stx and O-serogroups of STEC in
food raw materials should be helpful in forming a response to
E. coli food poisoning.
Acknowledgment
This work was partially funded by Ministère de l'Agriculture
et de la Pêche, Direction Générale de l'Alimentation (French
Ministry for Agriculture and Fisheries), Paris, France.
Fig. 2. Diagram showing the coexistence of both toxigenic ( stx-positive) and non-toxigenic ( stx-negative) strains within each O-serogroup tested.
287S. Perelle et al. / International Journal of Food Microbiology 113 (2007) 284 – 288
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