From Hive to Test Tube
What Your Honey Can Tell Us About Bee Health
by the Scientific & Technical Working Group: Karl Colyer and Paul Verrier
For this month’s review, we turn to a particularly relevant and encouraging piece of research: “Molecular detection of honeybee pathogens in honey from a UK citizen science program.” At first glance it may sound technical, but its implications for everyday beekeeping—and for organisations like BIPA—are both practical and significant.
A recent UK study has shown something quite remarkable: your honey can reveal hidden disease in your colony before you see any symptoms.
Using samples from the National Honey Monitoring Scheme, researchers tested honey for DNA from common bee pathogens. What they found has some clear, practical implications for all beekeepers.
The key message
Disease is often present even when your colony looks healthy.
- Chalkbrood found in ~13% of samples
- Nosema in ~11%
- European Foulbrood (EFB) in a small number—but importantly, sometimes without visible signs
In fact, laboratory testing picked up far more infections than beekeepers reported.
What should I do in my own apiary?
You don’t need a lab to act on these findings. The practical takeaways are about mindset and timing.
- Don’t rely on symptoms alone
If a colony looks healthy, that’s good but not proof it’s disease-free
Action: Keep up regular inspections, even when everything appears normal and be cautious about moving frames or equipment between colonies - Be extra vigilant later in the season
The study found higher disease levels from August onwards.
Action: Increase inspection frequency in mid–late summer and watch for subtle changes such as patchy brood, reduced vigour and slower build-up - Take hygiene seriously
Hidden infection means you may unknowingly spread disease between colonies
Action: Clean tools between apiaries, avoid swapping frames unless necessary and be cautious with feeding and robbing situations - Treat “minor” diseases as signals
Chalkbrood and Nosema are often seen as manageable—but they may indicate issues such as stress and poor nutrition.
Action: Review forage availability, colony strength and hive issues such as ventilation and damp - Be alert to the possibility of hidden EFB
Even though rare, the study detected EFB without symptoms.
Action: If something feels “not quite right” in your hive(s), trust your instincts. Take photos and contact someone for advice rather than waiting - Support and engage with monitoring schemes
This study only worked because beekeepers contributed samples.
Action: Take part in schemes like the National Honey Monitoring Scheme where possible. These programmes benefit both science and your own beekeeping
Why this matters
Most of us rely on visual inspections to identify issues. Our ability to spot concerns is affected by experience and pattern recognition.
But this study shows that many infections are asymptomatic at first and, by the time you see disease, it may already be established—or spreading
It also confirms something many of us suspect: disease pressure builds through the season, often peaking in late summer
The interesting bit: why honey works
Honey contains tiny traces of DNA from bees, pathogens and the hive environment.
As honey is a natural preservative, it’s DNA remains stable, making honey a simple, non-invasive diagnostic sample. This opens the door to future tools like:
- Routine honey testing
- Regional disease monitoring
- Earlier warning systems
Final thought
This research doesn’t replace good beekeeping but it does help sharpen it. Always remember that healthy-looking colonies can still carry disease and the best defence is awareness, good practice, and timely action.
Notes from the Scientific & Technical Team….
- Sample size was relatively (150 honey samples, drawn from a much 6,000+ sample archive
- Reliance on honey as the sampling medium introduces several uncertainties. Does detected DNA reflect active infection, or just environmental contamination? Could spores/DNA come from outside sources (e.g. drifting bees, robbing, forage contamination)? Does presence in honey correlate with colony health impact?
Implication: Detection ≠ disease severity. - Limitations of qPCR interpretation. Gene copy number ≠ pathogen load (precisely)
Implication: You can compare presence vs absence or seasonal trends within a pathogen but not reliably say one disease is “worse” or “heavier” than another based on this data. - Comparison with beekeeper observations is not a perfect “gold standard” comparison. The study contrasts qPCR detection vs beekeeper-reported symptoms but:
- Beekeepers may misidentify disease
- Some diseases are inherently hard to spot
- No independent clinical inspection (e.g. by inspectors) was used as a benchmark
Implication: the conclusion that qPCR is “better” is likely true, but the comparison is not fully controlled.
- Very low detection of EFB is too few to draw strong conclusions about distribution, analyse seasonal trends and assess risk properly
- Correlation vs causation is an important differentiation. The study identifies associations (e.g. higher pathogen levels later in the year) but it cannot prove that temperature, foraging, or stress caused the increase
Implication: these are plausible explanations, not confirmed drivers. - The study focuses on chalkbrood, Nosema and EFB but excludes viruses (e.g. DWV), Varroa-related dynamics and other bacterial/fungal diseases
Implication: this is not a complete picture of colony health—just a subset of key pathogens.
