Predicting which animal species might serve as reservoirs or bridges for pandemic viruses has remained a critical blind spot in global health preparedness. Traditional methods require infecting live animals—often impossible or unethical with endangered wildlife—leaving researchers to guess at viral susceptibility patterns that could determine humanity's next pandemic threat.
This breakthrough study created laboratory-grown airway tissue models from ten diverse wildlife and livestock species, then exposed them to both human pandemic H1N1 and highly pathogenic avian H5N1 influenza strains. The organoid responses varied dramatically between species, with infection rates and tissue damage patterns that closely matched known real-world susceptibility data. Beyond simple infection testing, the platform revealed specific cellular receptor mechanisms that determine viral binding and early adaptation processes as viruses jump between host species.
This represents a paradigm shift from reactive surveillance to predictive modeling of zoonotic disease risk. Wildlife organoids could rapidly screen emerging viral variants against hundreds of potential animal hosts, identifying likely reservoir species and transmission pathways before outbreaks occur. The approach addresses a fundamental limitation in pandemic preparedness: we currently discover most animal reservoirs only after human spillover events. For H5N1 specifically—which has recently jumped into dairy cattle and shows concerning mutations—this technology could map its continued host-jumping potential across wildlife populations. The method also offers conservation benefits by reducing the need for live animal research while providing critical data for protecting vulnerable species from emerging pathogens.