Europe Is Making Genomic Surveillance Operational. The Hard Part Comes Next

Europe has spent years building the scientific capability to detect connections between foodborne pathogens in humans, animals, food and the environment. A new regulation just made part of that capability mandatory. The harder question is whether the institutions around it can turn genomic intelligence into faster action.

On 23 August 2026, part of that capability crossed an important threshold. Commission Implementing Regulation (EU) 2025/179 became applicable, introducing requirements for the collection, whole genome sequencing and transmission of molecular analytical data during investigations of foodborne outbreaks involving five important groups of bacteria: Salmonella enterica, Listeria monocytogenes, Escherichia coli, Campylobacter jejuni and Campylobacter coli. Less than two weeks later, regulators, laboratories, scientists and food-industry representatives met in Rome for an EFSA conference with an unusually appropriate title: From Regulation to Practice – Turning WGS into Action for Foodborne Outbreak Investigation. That final word, action, is the important one. The value of genomic surveillance is no longer seriously in question. The harder question is whether the institutions surrounding it can convert an increasingly sophisticated stream of genomic intelligence into faster investigation, attribution and intervention. That is not primarily a sequencing problem. It is a One Health security problem.

Europe has built something important

Whole genome sequencing has fundamentally changed foodborne disease surveillance. Traditional microbiological typing could tell investigators that organisms appeared similar; WGS allows them to compare pathogen genomes at far greater resolution, helping identify clusters of infections that might otherwise appear unrelated. Europe has already built infrastructure around that capability: since 2022, the European Food Safety Authority (EFSA) and European Centre for Disease Prevention and Control (ECDC) have operated an interconnected One Health WGS system, and the architecture deliberately spans institutional boundaries. ECDC operates the public-health component, EFSA operates the food-safety component, and genomic profiles can be compared between them, allowing a cluster detected among human cases to be investigated against isolates obtained from food, animals, feed and associated environments.

Conceptually, this is exactly what One Health surveillance is supposed to do. The pathogen does not care whether an isolate sits inside a veterinary, food-safety or public-health institution, so the surveillance architecture needs some means of seeing across those boundaries too. Regulation 2025/179 now strengthens the information entering that system.

What actually changed

The regulation applies when relevant pathogens are associated, or suspected to be associated, with a foodborne outbreak. Competent authorities must collect isolates from relevant food, animal, feed and environmental samples and subject representative isolates to whole genome sequencing in appropriately accredited official laboratories, and the resulting information must be transmitted to EFSA without undue delay. Importantly, Europe is not asking only for a string of nucleotides: the genomic result must be accompanied by contextual information including a sample reference, sequence reference, pathogen species, description of the source, sampling date, Member State and relevant outbreak identifiers. That distinction matters. A genome without context is a biological observation. A genome connected to an animal, food, place, time and investigation can become epidemic intelligence. But even epidemic intelligence is valuable only if somebody can act upon it.

Detection is not prevention

This is where genomic surveillance sometimes acquires more expectations than it can realistically satisfy. Finding a genomic cluster does not prevent an outbreak; it tells us that an outbreak may be occurring. Matching a human isolate with a food isolate does not automatically remove the contaminated product; it provides evidence that can support intervention. And identifying closely related organisms across countries does not automatically establish the precise direction or route of transmission; it gives investigators somewhere much more informed to look. The distinction can be summarised simply: sequencing leads to detection, detection leads to interpretation, interpretation leads to attribution, attribution leads to a decision, and only then does a decision lead to intervention. WGS dramatically strengthens the first several stages. It cannot, by itself, complete the rest — the security value emerges only when the complete system works.

The last mile of genomic surveillance

Imagine that a genomic surveillance platform identifies a strong match between human Salmonella infections in several countries and isolates recovered somewhere in the food-production system. Scientifically, that can be an extraordinary achievement. Operationally, several questions immediately follow: which product, which batch, which producer, where was it distributed, which businesses received it, is contaminated material still circulating, does the evidence justify withdrawal or recall, which authority has jurisdiction, who needs to be informed, what happens across borders, and how quickly can all of that occur? This is what might be called the last mile of genomic surveillance — where excellent laboratory science encounters logistics, regulation, commercial supply chains, institutional responsibilities and decision-making. A surveillance system can be scientifically world-class and still lose time at this interface.

The One Health problem is institutional

One Health is frequently represented as three overlapping circles: human health, animal health and environmental health. The reality is considerably messier. Foodborne outbreak investigation can involve public-health institutes, veterinary laboratories, food-safety authorities, environmental-health teams, hospitals, reference laboratories, farms, processors, distributors, retailers and food-service businesses, and across borders that institutional landscape multiplies. Each organisation may perform its own function perfectly well — the vulnerability lies in the spaces between them. Biological threats exploit those spaces without intending to: a pathogen moves from animal to food to human without recognising that three different regulatory structures may govern those stages. The organism experiences one biological system. Our institutions experience several administrative ones. That mismatch is one of the central problems of One Health security.

Why industry participation matters

One of the notable aspects of the EFSA meeting on 2–3 September was the explicit involvement of food-industry representatives, and that is not peripheral to the surveillance problem. Businesses can hold information that becomes essential during an outbreak — sampling results, production records, supplier information, distribution information, internal microbiological investigations and, increasingly, genomic information. Regulation 2025/179 recognises this: where relevant information is available, food and feed business operators can be required to provide isolates and WGS results associated or suspected to be associated with an outbreak. This creates an important security relationship. Government cannot observe the entire food system itself, so effective surveillance depends partly upon information generated outside government, which means preparedness depends not simply on public-sector laboratory capacity but on whether public and private systems can cooperate quickly when something goes wrong.

The governance problem does not disappear

More data does not automatically produce better governance. It can expose governance weaknesses more clearly. Suppose WGS identifies a probable connection within hours: if tracing the associated product takes days, the genomic capability has outrun the surrounding system. If laboratories can exchange profiles but agencies cannot rapidly reconcile contextual information, the bottleneck moves from sequencing to coordination. If evidence crosses borders faster than decisions do, the constraint becomes governance. And if industry possesses relevant information that cannot be incorporated quickly into an investigation, the surveillance network remains incomplete. This is why genomic surveillance should be evaluated as a system, rather than simply as a laboratory capability.

From surveillance performance to security performance

There is a useful distinction here. We can measure the performance of sequencing infrastructure — how many isolates were sequenced, how quickly, at what cost, at what coverage, with what analytical quality. But One Health security requires another set of measures: how quickly was a cluster detected, how quickly was the likely source identified, how quickly were the appropriate authorities informed, how quickly was exposure reduced, and how many additional infections occurred between detection and intervention? Those are very different metrics. The first group measures scientific capacity. The second measures whether that capacity reduced biological risk. A mature genomic-surveillance programme ultimately needs both.

The economics matter too

This becomes especially important as sequencing becomes routine. Every surveillance system operates under resource constraints: sequencing more isolates has a cost, maintaining laboratory accreditation has a cost, bioinformatics infrastructure has a cost, data storage has a cost, training staff has a cost, and cross-border coordination has a cost. But outbreaks have costs too — hospitalisation, mortality, investigation, recalls, business disruption, lost production and public-health response. The appropriate question therefore isn’t simply how much genomic surveillance costs. It is what capability that investment creates, and what losses that capability allows society to avoid. That is precisely the kind of question prevention policy needs to become better at answering.

Surveillance should shorten the outbreak

There is a deceptively simple way to think about the ultimate purpose of the system: a successful surveillance architecture should reduce the time between the biological event and the intervention that limits its consequences. Everything else supports that objective — sampling reduces uncertainty, sequencing reveals relationships, data sharing connects observations, epidemiology establishes context, traceability reconstructs pathways, governance enables decisions, regulation provides authority, industry cooperation supplies additional evidence, and communication changes behaviour. None of these functions is sufficient by itself. Together, they form a security system.

The next test is operational

Europe deserves considerable credit for what it has built. A cross-sector WGS infrastructure connecting human and food-system surveillance is exactly the kind of capability One Health has advocated for years, and Regulation 2025/179 strengthens it further by embedding genomic information more firmly within outbreak investigation. But regulation is the beginning of the next stage, not its conclusion. The important questions now become measurable. Does mandatory WGS information improve source attribution? Does it shorten investigations? Does it improve cross-border coordination? Does it enable earlier intervention? Does it reduce cases? And does the benefit justify the investment required to maintain the system? Those questions should be answered with evidence over the coming years, because the objective was never simply to sequence pathogens faster. It was to make society safer because we can.

Questions & Answers

Related work

The infrastructure question behind the regulation — how to keep a genome’s evidence chain verifiable as it moves between laboratories, agencies and borders — is explored from the provenance side in The BioChain’s Europe Has Started Mandating WGS Data Sharing. The Next Challenge Is the Evidence Around the Genome.

References

1. European Commission (2025). Commission Implementing Regulation (EU) 2025/179 of 31 January 2025 on the collection and transmission of molecular analytical data within the frame of epidemiological investigations of food-borne outbreaks. Official Journal of the European Union.
2. European Food Safety Authority (2026). Whole genome sequencing in foodborne outbreaks. Updated 24 August 2026.
3. European Food Safety Authority (2026). Science Meets Policy: From Regulation to Practice – Turning WGS into Action for Foodborne Outbreak Investigation. Rome, 2–3 September 2026.
4. EFSA & ECDC. Joint One Health WGS system for molecular typing data from human, food, feed, animal and related environmental isolates.
5. European Parliament and Council (2003). Directive 2003/99/EC on the monitoring of zoonoses and zoonotic agents.