SLIDE 1 Opportunities and Challenges for Whole Genome Sequencing in Food Safety Assurance and Control
Leon Gorris
Unilever R&D Vlaardingen, The Netherlands
12th CII Food Safety Summit 4 – 5 December 2017
SLIDE 2 Outline
- Next Generation Sequencing approaches
- WGS opportunities
- WGS challenges
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https://www.genengnews.com/gen-articles/next-generation-sequencing-challenges/5953
SLIDE 3 Amended from Frédéric René (2016)
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NGS / WGS - OVERVIEW
SLIDE 4 Amended from Frédéric René (2016)
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NGS / WGS - OVERVIEW
FOOD PRODUCTS Water, RMs, Facilities, Environments HUMAN Microbiota Clinical samples
SLIDE 5 Amended from Frédéric René (2016)
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NGS / WGS - OVERVIEW
Food Safety
Foodborne
Source tracking Food Authenticity & Food Fraud FOOD PRODUCTS Water, RMs, Facilities, Environments HUMAN Microbiota Clinical samples
SLIDE 6 6
Conventional Microbiology Whole Genome Sequencing
1 day 1-2 days Weeks 1 day 12-18 hours Next Generation Sequencing Workshop
- Sampling
- Sequencing
- Bioinf.analysis
- Phylo.tree
takes ~ 1 week
WGS: “GAINING SPEED OVER CONVENTIONAL MICRO”
SLIDE 7 Outline
- Next Generation Sequencing approaches
- WGS opportunities
- WGS challenges
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https://www.genengnews.com/gen-articles/next-generation-sequencing-challenges/5953
SLIDE 8 Designing safe and stable products in a highly diverse product portfolio
Wide range of micro-organisms to understand in terms of ecology, physiology & preservation/control
8 Molecular biology toolbox
SLIDE 9 Molecular biology toolbox
metagenomics meta-transcriptomics transcriptomics metabolic pathway modelling genomic analysis
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- Eco-typing studies; microbiomes
- global gene expression profiling
- Single organism gene expression profiling
- identifying biomarkers/intervention targets
- genotype/phenotype correlations
SLIDE 10 Tools for innovation
- Mechanistic understanding of microbial properties, e.g.
- spoilage, safety
- Innovation of preservation systems
- preservation targets, resistance traits
- Validating safe product and process designs, e.g.
- challenge testing context
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SLIDE 11 Supporting Food safety risk assessments
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“Growth & Inactivation kinetics” “Pathogenicity, Virulence”
SLIDE 12 Trouble shooting
- Identifying micro-organisms / unravelling communities
- Phylogenetic and functional classification
- Investigational / root-cause analysis
- Targeted follow-up of traditional microbiology
- Tracing & tracking
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SLIDE 13 Eva Møller Nielsen, PhD
FAO Headquarters, Rome, Italy (23-25 May 2016)
Simplifying laboratory analyses
SLIDE 14 Steven M. Musser, PhD and Ruth Timme, PhD
Campden BRI, Chipping Campden UK (19 May 2016)
Potentially “preventative” (1)
SLIDE 15 Steven M. Musser, PhD and Ruth Timme, PhD
Campden BRI, Chipping Campden UK (19 May 2016)
Potentially “preventative” (2)
SLIDE 16 Christopher Braden
CFS-UnivGeorgia Annual meeting (1 March 2016)
Identifying more (small) clusters
SLIDE 17 Ruth Timme, PhD
IAFP 2016, WGS Workshop (30 July 2016)
SLIDE 18 Ruth Timme, PhD
IAFP 2016, WGS Workshop (30 July 2016)
GROWING THE DATABASE
SLIDE 19 Ruth Timme, PhD
IAFP 2016, WGS Workshop (30 July 2016)
OPEN DATABASE
SLIDE 20 Ruth Timme, PhD
IAFP 2016, WGS Workshop (30 July 2016)
GOING INTERNATIONAL
SLIDE 21 Outline
- Next Generation Sequence Interests
- WGS Opportunities
- WGS Challenges
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SLIDE 22
“WGS applications in food safety management, could contribute to greater consumer protection, trade facilitation, and food/nutrition security.” “Countries around the world use WGS or consider using it for food safety: Argentina, Australia, Brazil, Canada, China, Denmark, Germany, Italy, Japan, Kenya, South-Africa, Spain, UK, USA,……….”
SLIDE 23 47th CCFH WGS Side event
Boston, 12 November 2015
http://www.icmsf.org/events/past_conferences.html
SLIDE 24 Whole Genome Sequencing (WGS)
SCIENTIFIC ROBUSTNESS QUESTIONS
Are scientific studies available to validate the correct interpretation of finding particular genetic profiles in homes, environments or business
Is the technology mature enough for us to understand the relationship between genotypic traits of isolates and actual risk to public health, rather than hazard presence? What about quantification, given differences in regulatory limits of pathogens globally? Is there clarity on the regulatory response when “interesting” or “suspect” WGS profiles are found to be associated between “field” & database profiles?
47th CCFH WGS Side event
Boston, 12 November 2015
SLIDE 25 Steven M. Musser, PhD and Ruth Timme, PhD
Campden BRI, Chipping Campden UK (19 May 2016)
RESPONDING TO ASSOCIATIONS
SLIDE 26 26 Value of information:
- Method standardization & protocol harmonization to maximize comparability.
- Quality Assurance challenge underestimated?
Validity of interpretation:
- Rather immature science area; demanding capability; genotype versus phenotypic
expression/epidemiology; challenge to use data in risk-based food safety management
Legal matters:
- Ownership: 3rd Party data generation & storage, external collaborations; public storage/sharing
- Consequences: “false positive” associations in enforcement context; “legacy” cases raised; “risk
communication during investigations”
- Governance: little involvement of legal experts in developments
Training and Education:
- A global and local challenge, less for technical skills then for operational application
JOBs TO BE DONE!?
SLIDE 27 27 http://www.fao.org/3/a-i5619e.pdf
SLIDE 28 Utility of WGS – positive outlook
WGS as a new research tool / risk assessment input
- Microbial ecology, microbiome,….
- Preservations systems, tolerance, preservation targets,…..
- Resistance mechanisms, resistance anticipation/avoidance, AMR,…..
WGS as a investigational tool:
- Outbreak investigation, attributing cases to outbreaks,…..
- Root cause analysis, trouble shooting,….
WGS as an early warning tool:
- Identification of possible associations between illness cases and microorganisms…..
- Sharing of WGS data leverages resources to broaden the reference base
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WGS as a identification tool:
- Identification of microorganisms…..
SLIDE 29 Eva Møller Nielsen, PhD
FAO Headquarters, Rome, Italy (23-25 May 2016)
Investments needed
SLIDE 30
Management consequences?
https://www.dashingd3js.com/about Data Generation Data Interpretation Management Action In house Outsource
SLIDE 31
THANK YOU
leon.gorris@unilever.com