The current COVID-19 pandemic highlights the need for zoonotic
infectious disease surveillance. Avian influenza virus (AIV) poses a
significant threat to animal and public health due to its pandemic
potential. Virus-contaminated water has been suggested as an important
AIV spread mechanism among multiple species. Nevertheless, few studies
have characterized the global AIV subtype diversity and distribution in
environmental water. Therefore, this study aims to provide an updated
descriptive and phylogenetic analysis of AIVs isolated in water samples
from high risk-sites for influenza outbreaks (i.e., live bird markets,
poultry farms, and wild bird habitats) on a global scale. A total of 234
hemagglutinin (HA) gene sequences of 21 subtypes were reported from nine
countries between 2003 – 2020. Fourteen AIV subtypes were solely
reported from Asian countries. Most of the viral sequences were obtained
in China and Bangladesh with 47.44% and 23.93%, respectively.
Likewise, the greatest global AIV subtype diversity was observed in
China with twelve subtypes. Live bird markets represented the main
sampling site for AIV detection in water samples (64.10%), mostly from
poultry cage water. Nevertheless, the highest subtype diversity was
observed in water samples from wild bird habitats, especially from the
Izumi plain and the Dongting Lake located in Japan and China,
respectively. Water from drinking poultry troughs evidenced the greatest
subtype diversity in live bird markets, meanwhile, environmental water
used by ducks had the highest number of different subtypes in poultry
farms. The maximum-likelihood phylogenetic tree showed that some HA
sequences were closely related among different poultry/wild bird-related
environments from different geographic origins. Therefore, the results
suggest that even though the availability of HA gene sequences in
public-access databases varies greatly among countries, environmental
AIV surveillance represents a useful tool to elucidate potential viral
diversity in wild and domestic bird populations.