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Molecular identification and phylogenetic characterization of influenza A virus at a wildlife-livestock interface in Mexico.

Jessica Mateus-AnzolaLiliana Gaytan-CruzCecilia Montoya-CarrilloJosé Ivan Sánchez-BetancourtHeliot ZarzaRené Álvaro Segura-VelázquezRafael Ojeda-Flores
Published in: Transboundary and emerging diseases (2020)
Influenza A virus (IAV) outbreaks constitute a constant threat to public health and pose a remarkable impact on socio-economic systems worldwide. Interactions between wild and domestic birds, humans and swine can lead to spillover events. Backyard livestock systems in proximity to wetlands represent high-risk areas for viral spread. However, some gaps remain in our knowledge of IAV transmission at the wildlife-livestock interface in Mexico. Hence, the study aimed at molecular identification and phylogenetic characterization of IAV in the wild duck-backyard livestock interface at a wetland of Mexico. A total of 875 animals were tested by real-time RT-PCR (qRT-PCR). We detected IAV in 3.68% of the wild ducks sampled during the winter season 2016-2017. Nonetheless, the samples obtained from backyard poultry and swine tested negative. The highest IAV frequency (11.10%) was found in the Mexican duck (Anas diazi). Subtypes H1N1, H3N2 and H5N2 were detected. Phylogenetic analyses revealed that IAV detected in wild birds from the Lerma wetlands was mostly related to swine and poultry IAV strains previously isolated in the United States and Mexico. Except, the UIFMVZ377/H5N2 related to North American waterbirds. In conclusion, the co-circulation of three IAV subtypes in wild ducks close to backyard farms in Mexico, as well as the local identification of influenza viruses genetically related to Mexican and North American IAV strains, highlights the importance of the Lerma marshes for influenza surveillance given the close interaction among wild birds, poultry, pigs and humans.
Keyphrases
  • public health
  • genetic diversity
  • wastewater treatment
  • escherichia coli
  • healthcare
  • sars cov
  • antimicrobial resistance
  • bioinformatics analysis
  • microbial community
  • water quality