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WGS for food safety management in France :
Example for Listeria monocytogenes
Dr. Sophie Roussel, Anses, Maisons-Alfort; France
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Anses-presentation
12 Laboratories -18 sites
Laboratory for Food Safety
Biological agents than can affect foodsafety and quality in a public health goal
Better control the food quality andhygiene from the food industry to foodservices,
Risk assessment analysis
Reference and research Scientific and technical expertises Monitoring and epidemio-surveillance
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WGS and Bioinformatic analysis capacities at Anses The WGS national plateform
3 Bioinformaticiansfull time
-2 technicians
-1 Ion Proton TM, -2 High Seq
-3 Mi seq-1 Pacbio
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WGS and Bioinformatic analysis capacities at Anses : Laboratory for food safety
Pesticides and
marine biotoxins
Unit
Trace metals and
minerals
Physico Chemical
department
AntibioResistance
Unit
GAMeR Geno-Analysis
Modelisation : and Risk
Assessment
Identypath"
national platform
Central
Laboratory for
Veterinary
Services
Microbiology department
Enteric
viruses Unit
Staphylococci,
Bacillus,
Clostridium and
milk Unit
Salmonella-E.coli-
Listeria
(SEL) Unit
LABORATORY for FOOD SAFETY - Maisons-Alfort
-1. Statistician-1. Bioinformatian , -1 expert in genotyping data analysis
-Genotyping-Illunina Mi seq
Listeria team(12 persons)
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Listeria monocytogenes AnsesTeam strains of food, feed, environment, animal
Detection-Enu meration, Ecophysiology,Predictive MicrobiologyMolecular typing Epidemiosurveillace
National Reference Lab (NRL) since 2001
French network partners
European Reference Lab (EURL) since 2006
(DG SANTE) Regulation EC 776/2006 ; https://eurl-listeria.anses.fr
Coordinate / manage European
network of 37 NRLs
Stimulate partners to do typing
Roadmap
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-
-Testing . -Profil interpretation-Database curation - Data and cluster analysis
Comparison of PFGE SOPs between European and US partners
Step 1 : Development of SOPs (Standard Operating Procedures)
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-the French network . -the NRL network Proficiency testing trialsAnnual training sessions; workshops
-the National public health laboratories(NPHL) network
-With other EURLs
-Testing . -Profil interpretation-Database curation - Data and cluster analysis
Comparison of PFGE SOPs between European and US partners
Step 1 : Development of SOPs (Standard Operating Procedures)
Step 2 : Harmonisation
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-the French network . -the NRL network Proficiency testing trialsAnnual training sessions; workshops
-the National public health laboratories(NPHL) network
-With other EURLs
-Testing . -Profil interpretation-Database curation - Data and cluster analysis
Comparison of PFGE SOPs between European and US partners
Step 3 : Molecular PFGE databases
-European typing databases
Step 1 : Development of SOPs (Standard Operating Procedures)
Step 2 : Harmonisation
-EFSA-ECDC database : PFGE data from human and no human isolates
-EURL : curator of the non-human isolates
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-the French network . -the NRL network Proficiency testing trialsAnnual training sessions; workshops
-the National public health laboratories(NPHL) network
-With other EURLs
French, European and International and PFGE-based
surveillance networks
-Testing . -Profil interpretation-Database curation - Data and cluster analysis
Comparison of PFGE SOPs between European and US partners
Step 3 : Molecular PFGE databases
-European typing databases
Step 1 : Development of SOPs (Standard Operating Procedures)
Step 4 : Epidémiosurveillanceimproved
Duration :5 years
Step 2 : Harmonisation
-EFSA-ECDC database : PFGE data from human and no human isolates
-EURL : curator of the non-human isolates
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Dispatch of PFGE protocols -Communication
In 2015 : among the French / partner network : No lab is using WGS for the surveillance in routine.
Among the European NRL network :1 lab use WGS (PHE)21/37 NRLs carry out PFGE -Some NRLs don’t type at all
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Assess WGS technology as a typing tool
Within two different analytic development projects Similar aims :
• 1. Develop WGS harmonized protocols at each of the steps ofthe process
• 2. Backwards comparability between WGS and PFGE :
Set up of a EU wide relevant strain/ genome collection
Set a cut-off for WGS among the genetic diversity of L.monocytogenes
Cluster definition : assess the genetic distance betweenepidemiologically related / not-epidemiologically relatedstrains.
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COllaborative Management Platform for detection and Analyses of (Re-)emerging and foodborne outbreaks in Europe
-Coordinator : DTU-Food, (Franck Aarestrup’s team)-29 European partners ; 15 Work packages-Anses : Maisons-alfort laboratory for food safety ; Anses WGS platform (Ploufragan, Brittany).
2) The EURL project on WGS typing(2015-2017)
In close collaboration with :The EURL/NRL (in particular IT, DE) network and other Ansescenters
1) The European project(2015-2020)
EURL for Lm
European Union Reference
Laboratory for
Listeria monocytogenes
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Assess the typing potential of WGS /research projects
Overview of the genetic structure of populations of food andclinical strains ;
Explore the genetic diversity of strain populations in France andin Europe
Assess the epidemiological relationship of strains from thedifferent sources
Identify the presence of molecular markers that may explainthe virulence / ecophysiology differences observed within thestrain populations.
PhD project Anses /DTU-food (2013-2016)
2 years-European project (2014-2016)
18 month project -National Grant) (2015-2017)
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WGS : a maximal resolution typing tool for molecularsurveillance and outbreak investigation ?
WGS : Information on pathogen genomes (species
identification, drugresistance, virulence,
evolution…).
MLST : Global epidemiology
Population biology
Phylogeny
SérotypeLineage MLST PFGE WGS
Discriminatory degreePFGE : The current international
standard -Outbreak
investigation
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WGS : a roadmap to better manage the food safety…
Research projectsMolecular markers underlying
evolution, host specificity, virulence, transmissioon
ecophysiology…
1. Stimulate all the partner networks to track and type more strains (+ historical
strains)
3.Harmonization withinclinical and food reference
lab networks
4. Share relevant information/
databasesNetworking
Competent authorithies: facilitate
communication and data sharing between all the
actors
2. Design a rational typing
scheme for outbreak
investigation
type of WGS data useful for surveillance ?
Define standardizednomenclature
Validation by reference
laboratories
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A standardized (cgMLST) : intermediate between SNP-based phylogeny and MLST ?
Molecularsurveillance
Molecularmethods
Genotyping –basedsurveillancePFGE
SNPs
MLST
allele-based typing scheme Wg MLST –cgMLST (more discriniating thanMLST)(Ruppitsch et al., 2015) ; Jolley; Miaden, 2014);
Genomic-basedsurveillance
Nomenclature standardizedCentral database; not enoughdiscriminating
interpretation of data easier and more accessible than PFGECentral databases (ex. BIGSDB)
highly discriminatory, less standardized
No standardizednomenclature and profile interpretation difficult
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Perspectives : WGS in France /Europe– replacement of PFGE ?
• Easier to replace PFGE with WGS at the local level than in largenational / international surveillance networks.
• The replacement of PFGE with a new WGS-based method must beconducted gradually to avoid the loss of precious historicinformation generated over many years.
• Underscored by the continued use of PFGE.
• In French lab/ European countries with limited financial ressources,PFGE will probably prevail in the coming years
• But these labs may rapidly adopt WGS once it is practical to use
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Acknowledgement
SEL Unit Listeria team - molecular typing team Clémentine HenriTrinh-Tam DaoKarol RomeroJean-François MarietDamien MichelonBenjamin FélixRenaud Lailler , david Albert
Maisons-Alfort Food Safety
laboratoryMichel-Yves MistouLaurent GuillierNicolas RandomskiArnaud FeltenOlivier Firmesse
Anses WGS PlatformYannick Blanchard
EURL Lm coordinationBertrand LombardAdrien Asséré ; Marie-Christine Salvi
Food NRL network, in particular (AT, BE, DE, FI, IE, IT, NL, SE) Vicdalia Aniela AcciariNadine BotteldoornEls Biesta-PetersBernadette HickeyLuigi Iannetti
DTU-food :FM AarestrupR. Hendriksen
SSIEva Moller NielsenJonas Larsson
CDCPeter Gerner-Smidt
Applied Math’s team
Sylvia KletaAriane PietzkaLeila RantalaSusanne Thisted LambertzCaroliene van Heerwaarden
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Thank you for your attention !