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Introduction
In the majority of countries in Western Europe, Salmonella is a zoonotic
pathogen with its primary reservoirs being poultry, cattle and pigs.
Salmonella organisms are transmitted through the food chain to humans
with contaminated foodstuffs such as beef, chicken, turkey and pork
being important sources of infection. In recent years, salad products
have also been implicated as vehicles of infection (1-3). International
trade both in food animals and food products ensures that salmonella
organisms are widely distributed throughout the European Union (EU),
and that international outbreaks occur regularly.
Much salmonellosis prevention and control depends on early outbreak
recognition through a suitable surveillance system based on isolate
subtyping. The principal internationally accepted method for the subtyping
of salmonellas is serotyping, followed by phage typing for discrimination
within the most common serotypes. The value of phenotypic typing methods
as surveillance tools is well established but because of the predominance
of certain serotypes and phage types in many countries, DNA fingerprinting
is often used as an adjunct in outbreak investigations in which enhanced
strain discrimination is needed. A number of DNA based methods, including
ribotyping, insertion sequence 200 fingerprinting, and pulsed field
gel electrophoresis (PFGE) are available. Of these, PFGE has become
the gold standard for strain subdivision both within serotypes and phage
types (4).
Analysis by PFGE is highly discriminatory and can subdivide bacterial
isolates relating to possible outbreak situations. As a method it can
therefore be used to make decisions of epidemiological importance. In
the EU, PFGE has already been applied to international outbreaks of
S. enterica, including Enteritidis, Typhimurium, Anatum, Virchow
and Hadar, for which contaminated food products have often been the
vehicles. It has also been used elsewhere in the world to establish
foodborne outbreaks of Typhimurium, Paratyphi, Agona, Stanley, Saphra,
and Javiana. Of particular note is the recent outbreak of Stanley associated
with peanuts produced on one continent with cases being identified on
three others (5).
In the United States (US), a subtyping network, PulseNet US, based at
the Centres for Disease Control and Prevention (CDC), Atlanta, uses
PFGE technology to track E. coli O157 throughout the country, and this
has recently been extended to S. enterica (6). Having demonstrated its
effectiveness as a tool for foodborne disease surveillance, this model
has been implemented in Canada and is at various stages of development
in the Asia Pacific region and South America. However, phage typing
of Enteritidis and Typhimurium strains is not undertaken routinely in
the US.
The Salm-gene EU research project was therefore designed to assess the
added value for outbreak recognition of routine molecular subtyping,
using PFGE in particular, of the two predominant salmonella serotypes
in an environment where phage-typing is also employed routinely. To
establish PFGE as an effective method for the subtyping of Salmonella
within the EU, it is essential that all parameters are internationally
agreed and harmonised.
The ten laboratories participating in the Salm-gene project are already
members of Enter-net (7), the international surveillance network for
human gastrointestinal infections. The main aims of Salm-gene are: i)
to develop standard laboratory operating procedures for PFGE and for
computer recognition of the results, ii) to create a searchable database
of PFGE profiles for the major Salmonella serovars currently in circulation
within Europe, iii) to DNA fingerprint in real time a large sample of
salmonella strains in each of several countries, using selection criteria
that maximise outbreak detection power, and analyse the data continuously
in the online database, iv) to establish an external quality assurance
(EQA) scheme for PFGE.
Satisfactory harmonising of PFGE testing across laboratories is essential
if comparable data are to be collected and is fundamental to the Salm-gene
project. We report the results of testing a panel of carefully selected
strains in each of the nine participating Salm-gene laboratories, using
a harmonised protocol.
Methods
Participants in the Salm-gene project include the Laboratory of Enteric
Pathogens (acting as the Project Co-ordinator in conjunction with the
Enter-net surveillance hub, Communicable Disease Surveillance Centre,
United Kingdom) together with eight other national reference laboratories
within Europe. Each participating centre received a set of 16 S. enterica
strains to be used for EQA of the method. These strains included the
serovars Typhimurium, Enteritidis, Hadar, Virchow, Agona, Heidelberg,
Indiana, Montevideo, Mbandaka, Livingstone, Anatum, London, Senftenberg,
and Poona; two phage types of Typhimurium and Enteritidis were included.
These strains were selected to provide a wide variety of PFGE profiles
such that well defined chromosomal fragments were present in all areas
of the gel.
An agreed protocol for PFGE was performed using the Bio-Rad CHEF®
system. This involved proteinase K lysis of cells, a series of washes
at 50oC followed by digestion with 30U XbaI (minimum 4h, 37oC). Electrophoresis
conditions were as follows: RAMP - Initial 2s; Final 64s; 6V/cm; 14oC,
22h (CHEF DRII®), 20h (CHEF DRIII®), 18h (CHEF Mapper®).
DNA macrorestriction fragments were resolved on 1% agarose gels (Bio-Rad
Pulsed Field Certified® or Seakem Gold®) with a S. Braenderup
strain (kindly supplied by PulseNet US, CDC) as a molecular reference
marker.
Gel images were exchanged in tag image file format (TIFF files). PFGE
patterns were analysed with BioNumerics software using Dice coefficient
and Unweighted Pair Group Method of Averages (UPGMA) with a 1.5% tolerance
limit and 1.5% optimisation. Pulsed field profiles were assigned on
a temporal basis and types were designated on the basis of one or more
band differences between strains.
Results and discussion
PFGE profiles for the external quality assessment of the set of S. enterica
demonstrated between 12 and 20 resolvable chromosome fragments, ranging
from approximately 20 kb to 1 140 kb. By using a harmonised method for
PFGE with defined parameters for electrophoresis, the gel images produced
were comparable between each centre despite slight variations in DNA
preparation (table 1). In most cases, there was at least 90% similarity
between isolates tested in the different European laboratories and there
was usually >95% similarity. Where there were differences in banding
patterns, this was due to the absence/faintness of the smallest bands
on the gel, with molecular masses of <30 kb (figure 1).
Reference laboratories participating in this project are currently in
the process of selecting and testing a further 500-1 000 S. enterica
isolates, representing currently defined serotypes of epidemiological
importance within their country. Electronic recording and transmission
of data between laboratories means that these isolates do not need to
be exchanged. The PFGE patterns sent as TIFF files are being analysed
using BioNumerics software at the coordinating laboratory where the
profiles are stored in a central database and compared to a library
of such patterns. Each new pattern is given a unique designation and
added to the library of PFGE profiles. This designation is in the form
of a six letter code together with a four digit numerical identifier.
For example, the first pattern for S. Enteritidis digested with the
enzyme XbaI is SENTXB.0001.
Table 1
Similarity rate of the PFGE profile for the 16 S. Enteritidis strains
analysed by nine European laboratoires
|
% similarité des souches
EQA / pays
|
% similarity for EQA strains
/country
|
|
Isolat de S.enterica S.enterica
isolate
|
Pays
Country A
|
Pays
Country B
|
Pays
Country C
|
Pays
Country D
|
Pays
Country E
|
Pays
Country
|
Pays
Country G
|
Pays
Country H
|
Pays
Country
I
|
|
Typhimurium
|
94.9
|
98.4
|
98.4
|
95.4
|
98.4
|
91.3
|
91.3
|
94.9
|
94.9
|
|
Typhimurium
|
97.1
|
97.1
|
97.1
|
94.3
|
97.1
|
93.8
|
90.6
|
97.1
|
97.1
|
|
Enteritidis
|
95.8
|
100.0
|
100.0
|
96.0
|
100.0
|
95.6
|
95.6
|
100.0
|
100.0
|
|
Enteritidis
|
95.9
|
100.0
|
100.0
|
100.0
|
100.0
|
90.0
|
95.6
|
100.0
|
95.6
|
|
Hadar
|
93.1
|
100.0
|
100.0
|
100.0
|
100.0
|
88.9
|
92.3
|
100.0
|
100.0
|
|
Virchow
|
93.9
|
100.0
|
100.0
|
97.1
|
93.7
|
91.7
|
97.0
|
100.0
|
97.0
|
|
Agona
|
100.0
|
100.0
|
100.0
|
100.0
|
100.0
|
95.2
|
95.6
|
100.0
|
100.0
|
|
Heidelberg
|
95.3
|
98.4
|
98.4
|
98.4
|
100.0
|
93.7
|
91.3
|
98.4
|
98.4
|
|
Indiana
|
97.1
|
100.0
|
100.0
|
93.7
|
96.8
|
84.6
|
96.8
|
97.1
|
96.8
|
|
Montevideo
|
98.3
|
98.3
|
98.3
|
91.3
|
98.1
|
87.9
|
94.7
|
98.3
|
90.9
|
|
Mbandaka
|
96.8
|
100.0
|
100.0
|
90.3
|
96.5
|
95.6
|
96.3
|
100.0
|
100.0
|
|
Livingstone
|
90.6
|
100.0
|
100.0
|
100.0
|
92.3
|
85.7
|
91.7
|
94.6
|
95.2
|
|
Anatum
|
98.6
|
100.0
|
100.0
|
97.0
|
97.0
|
91.7
|
96.8
|
95.5
|
100.0
|
|
London
|
94.3
|
98.0
|
98.0
|
93.8
|
97.8
|
93.1
|
93.8
|
90.9
|
94.0
|
|
Senftenberg
|
100.0
|
100.0
|
100.0
|
90.0
|
96.5
|
90.0
|
96.5
|
100.0
|
88.9
|
|
Poona
|
96.2
|
100.0
|
100.0
|
96.0
|
91.7
|
95.6
|
96.0
|
100.0
|
96.2
|
PFGE produces reproducible, stable fingerprints with well resolved fragments
that represent the entire genome. It is this stability that is crucial
for PFGE as a strain typing method. We use a harmonised PFGE protocol
that takes into account some of the technical variation between different
European centres. While standardisation of DNA preparation and digestion
were not considered to be essential, standardisation of the parameters
for electrophoresis was considered to be an absolute requirement. During
the development of the Salm-gene project, there has also been consultation
with PulseNet in the US and Canada to ensure comparability of data between
Europe and North America.
The initial results from the EQA data show that it is possible to reproduce
results at different centres and transfer this information electronically
to a central database. The EQA scheme takes place every six months to
ensure integrity of the results obtained with the standardised procedures.
Nomenclature of profiles in this scheme is for ease of communication
between laboratories. While not intended as a 'bacterial classification'
system, it is important to establish universally recognised profile
numbers for each unique pattern with single band differences being considered
potentially significant. It is intended that this will serve as the
basis for exchange of information between laboratories. However, the
reporting of single band differences and the identity of PFGE profiles
alone does not prove unequivocally whether isolates are related or not.
Such information should be considered together with epidemiological
evidence. The practical application will be that the organisms responsible
for food related outbreaks of salmonellosis in different countries in
the EU can be compared on the basis of their DNA fingerprints, together
with other subtyping data and epidemiological information, thereby providing
a sound basis for the introduction of appropriate intervention strategies.
We are currently creating an online, web-based searchable database of
information for the most prevalent salmonella serotypes and phage types
within Europe. Participants submit all DNA fingerprints and associated
epidemiological information electronically to the coordinating hub where
it is incorporated into the central web-based database. This international
database will be developed, managed and maintained at the coordinating
hub and will be accessible to all participants via the internet. The
epidemiological database will be routinely analysed and results reported
back to all participants. Public domain outputs and reports will be
developed and published by the epidemiological coordinating centre for
the project.
Recommendations will be developed for incorporating DNA fingerprinting
into national laboratory based surveillance of human salmonella isolates,
based on the cost effectiveness of different laboratory methods, sampling
criteria, and the incidence of particular phage types.
Acknowledgements
The Salm-gene project is funded by Directorate General RESEARCH of the
European Commission under the Framework Programme 5 (Contract QLK2-CT-2001-1940).
* Participants in Salm-gene are:
The Laboratory of Enteric Pathogens, England and Wales, the Bakteriologisch-serologische
Untersuchungsanstalt, Austria; Statens Seruminstitut, Denmark; National
Public Health Institute, Finland; Robert Koch-Institut, Germany; Instituto
Superiore di Sanita, Italy; National Institute of Public Health &
the Environment, the Netherlands; Scottish Salmonella Reference Laboratory,
Scotland and Instituto de Salud Carlos III, Spain with the reference
laboratory at the Pasteur Institute, France acting as the software compatibility
advisor, and the Communicable Disease Surveillance Centre, England &
Wales being the epidemiological co-ordinating centre.
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