Acknowledgement
The author is grateful for the technical advice from Junghoon Kwon at Kyungpook National University, College of Veterinary Medicine. The author also appreciates Jin-Ha Song and Seung-Eun Son for their technical assistance.
References
- Song D, Kang B, Lee C, Jung K, Ha G, Kang D, et al. Transmission of avian influenza virus (H3N2) to dogs. Emerg Infect Dis. 2008;14(5):741-746. https://doi.org/10.3201/eid1405.071471
- Li S, Shi Z, Jiao P, Zhang G, Zhong Z, Tian W, et al. Avian-origin H3N2 canine influenza A viruses in Southern China. Infect Genet Evol. 2010;10(8):1286-1288. https://doi.org/10.1016/j.meegid.2010.08.010
- Voorhees IE, Glaser AL, Toohey-Kurth K, Newbury S, Dalziel BD, Dubovi EJ, et al. Spread of canine influenza A(H3N2) virus, United States. Emerg Infect Dis. 2017;23(12):1950-1957. https://doi.org/10.3201/eid2312.170246
- Xu W, Weese JS, Ojkic D, Lung O, Handel K, Berhane Y. Phylogenetic inference of H3N2 canine influenza A outbreak in Ontario, Canada in 2018. Sci Rep. 2020;10(1):6309.
- Voorhees IE, Dalziel BD, Glaser A, Dubovi EJ, Murcia PR, Newbury S, et al. Multiple incursions and recurrent epidemic fade-out of H3N2 canine influenza A virus in the United States. J Virol. 2018;92(16):e00323-18.
- Spackman E. Avian influenza virus detection and quantitation by real-time RT-PCR. In: Spackman E, editor. Animal Influenza Virus. New York: Springer New York; 2014, 105-118.
- Tamura K, Stecher G, Kumar S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021;38(7):3022-3027. https://doi.org/10.1093/molbev/msab120
- Nguyen LT, Schmidt HA, von Haeseler A, Minh BQ. IQ-TREE: a fast and effective stochastic algorithm for estimating maximum-likelihood phylogenies. Mol Biol Evol. 2015;32(1):268-274. https://doi.org/10.1093/molbev/msu300
- Minh BQ, Nguyen MA, von Haeseler A. Ultrafast approximation for phylogenetic bootstrap. Mol Biol Evol. 2013;30(5):1188-1195. https://doi.org/10.1093/molbev/mst024
- Guindon S, Dufayard JF, Lefort V, Anisimova M, Hordijk W, Gascuel O. New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0. Syst Biol. 2010;59(3):307-321. https://doi.org/10.1093/sysbio/syq010
- Suchard MA, Lemey P, Baele G, Ayres DL, Drummond AJ, Rambaut A. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol. 2018;4(1):vey016.
- Hong M, Na W, Yeom M, Park N, Moon H, Kang BK, et al. Complete genome sequences of H3N2 canine influenza virus with the matrix gene from the pandemic A/H1N1 virus. Genome Announc. 2014;2(5):e01010-14. https://doi.org/10.1128/genomeA.01010-14
- De A, Sarkar T, Nandy A. Bioinformatics studies of influenza A hemagglutinin sequence data indicate recombination-like events leading to segment exchanges. BMC Res Notes. 2016;9(1):222.
- Lim SI, Kim MJ, Ouh IO, Kim MJ, Kwon M, Park GG, et al. Surveillance of canine influenza A virus in the Republic of Korea from 2016 to 2021. Journal of Preventive Veterinary Medicine. 2022;46(4):183-188. https://doi.org/10.13041/jpvm.2022.46.4.183
- Chen M, Lyu Y, Wu F, Zhang Y, Li H, Wang R, et al. Increased public health threat of avian-origin H3N2 influenza virus caused by its evolution in dogs. eLife. 2023;12:e83470.
- Lee CY, An SH, Choi JG, Lee YJ, Kim JH, Kwon HJ. Rank orders of mammalian pathogenicity-related PB2 mutations of avian influenza A viruses. Sci Rep. 2020;10(1):5359.
- Blaurock C, Blohm U, Luttermann C, Holzerland J, Scheibner D, Schafer A, et al. The C-terminus of nonstructural protein 1 (NS1) in H5N8 clade 2.3.4.4 avian influenza virus affects virus fitness in human cells and virulence in mice. Emerg Microbes Infect. 2021;10(1):1760-1776. https://doi.org/10.1080/22221751.2021.1971568