Molecular characterization and phylogeography of equine influenza virus H3N8 detected in donkeys in Nigeria 2022-2023.
Abstract: Equine influenza virus (EIV) H3N8 is a highly contagious respiratory pathogen that poses significant health and economic risks to equids globally. In southeastern Nigeria where equids are sold and slaughtered, limited data exist on EIV epidemiology and circulating lineages. Methods: To address this gap, an active surveillance was conducted between January 2022 and October 2023. A total of 400 nasal swabs were collected from horses and donkeys at slaughterhouses and animal markets. The swabs were screened for equine influenza virus (EIV) using quantitative Reverse-Transcription Polymerase Chain Reaction (RT-qPCR), and positive samples underwent whole-genome sequencing. A spatiotemporal Bayesian phylogeographic analysis was performed. Amino acid comparisons were carried out against the World Organization for Animal Health (WOAH) recommended Florida clade-1 (Fc-1) vaccine strains (accession numbers GU447312, DQ124192) and mutations were mapped onto 3D H3 hemagglutinin structure with protein data bank 4UO0 using PyMOL. Results: Two samples (0.5%) from non clinical signs and deceased donkeys tested positive for the H3N8 virus. A spatiotemporal Bayesian phylogeographic analysis, which included sequences from outbreaks in Africa between 2018 and 2023, revealed multiple introductions of the virus into Africa. The introductions of Fc-1 lineage into Africa may have originated from Argentina (2018/2019) and the UK (2021), while Florida clade-2 seems to have originated from Ireland (2019). The 2022 H3N8 strains identified in this study may be a result of persistence from the 2018/2019 epizootic in northern Nigeria. Additionally, we discovered previously unreported hemagglutinin substitutions compared to the WOAH recommended Fc-1 vaccine strain, along with novel changes adjacent to antigenic sites and four distinct glycosylation profiles in the virus, which underscores their potential epidemiological significance. Conclusions: Our findings revealed multiple introductions of EIV probably from South America and Western Europe, rapid virus evolution, and significant transboundary spread facilitated by livestock trade, particularly involving donkeys and subclinical infections in the transmission of the virus. These results underscore the persistence and evolution of EIV H3N8 (Fc-1) in Nigeria and emphasize the need for improved genomic surveillance, control measures, and vaccination strategies against EIV in Africa. Additionally, regulating transboundary livestock trade is essential to mitigate the risk of future outbreaks.
© 2026. The Author(s).
Publication Date: 2026-02-03 PubMed ID: 41629904DOI: 10.1186/s12917-025-05279-6Google Scholar: Lookup
The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Cite This Article
APA
Mkpuma N, Meseko C, Shittu I, Chukwu C, Afiukwa FN, Iroha IR, Muhammad M, Ogbu O.
(2026).
Molecular characterization and phylogeography of equine influenza virus H3N8 detected in donkeys in Nigeria 2022-2023.
BMC Vet Res.
https://doi.org/10.1186/s12917-025-05279-6 Publication
Researcher Affiliations
- Regional Laboratory for Animal Influenza and Other Transboundary Animal Diseases, National Veterinary Research Institute, Vom, Nigeria. nicodemusmkpuma@gmail.com.
- Department of Applied Microbiology, Ebonyi State University, Abakaliki, Ebonyi State, Nigeria. nicodemusmkpuma@gmail.com.
- Regional Laboratory for Animal Influenza and Other Transboundary Animal Diseases, National Veterinary Research Institute, Vom, Nigeria.
- Regional Laboratory for Animal Influenza and Other Transboundary Animal Diseases, National Veterinary Research Institute, Vom, Nigeria.
- Molecular Biology Department, Federal College of Veterinary and Medical Laboratory Technology, Vom, Nigeria.
- Department of Applied Microbiology, Ebonyi State University, Abakaliki, Ebonyi State, Nigeria.
- Department of Applied Microbiology, Ebonyi State University, Abakaliki, Ebonyi State, Nigeria.
- National Veterinary Research Institute, Vom, Nigeria.
- Department of Applied Microbiology, Ebonyi State University, Abakaliki, Ebonyi State, Nigeria.
Conflict of Interest Statement
Declarations. Ethics approval and consent to participate: Ethical approval for this study was granted by the Animal Care and Use Committee of the National Veterinary Research Institute, Vom (AEC/02/101/21). Consent for publication: Not applicable. Competing interests: The authors declare no competing interests.
References
This article includes 105 references
- Singh RK, Dhama K, Karthik K, Khandia R, Munjal A, Khurana SK, et al. A comprehensive review on equine influenza virus: etiology, epidemiology, pathobiology, advances in developing diagnostics, vaccines, and control strategies. Front Microbiol. 2018;9:1941. https://doi.org/10.3389/fmicb.2018.01941.
- Cullinane A, Newton JR. Equine influenza - a global perspective. Vet Microbiol. 2013;167(1–2):205–14. https://doi.org/10.1016/j.vetmic.2013.03.029.
- Timoney PJ. Equine influenza. Compend Contin Educ Pract Vet. 1996;18:S528–32.
- Murcia PR. Evolution of equine influenza virus in vaccinated horses. J Virol. 2013;87(8):4768–71.
- Daly JM, MacRae S, Newton JR, Wattrang E, Elton DM. Equine influenza: a review of the disease and its epidemiology. Vet Microbiol. 2011;147(1–2):181–9.
- Chambers TM. Equine influenza. Vet Clin North Am Equine Pract. 2014;30(3):507–22.
- Webster RG, Govorkova EA. Continuing challenges in influenza. Ann N Y Acad Sci. 2014;1323:115–39.
- Kawaoka Y, Neumann G. Influenza viruses: an introduction. In: Kawaoka Y, Neumann G, editors. Influenza Virus: Methods and Protocols. Methods in Molecular Biology. Humana Press, Totowa; 2012;865:1–9. https://doi.org/10.1007/978-1-61779-621-0_1.
- Paillot R. A systematic review of recent advances in equine influenza vaccination. Vaccines. 2014;2:797–831.
- Wilson WD. Equine influenza. Vet Clin North Am Equine Pract. 1993;9(2):257–82.
- World Organisation for Animal Health (OIE). Equine influenza. In: World Organisation for Animal Health (OIE) (ed.). Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. 6th ed. Paris: Office International des Épizooties. 2008. p. 947–60. ISBN: 978-92-9044-718-4.
- Nemoto M, Yamanaka T, Bannai H, Tsujimura K, Kondo T, Matsumura T. Antigenic variation among equine H3N8 influenza virus isolates from the 2010 outbreak in racehorses in Japan. J Vet Med Sci. 2012;74(7):963–7. https://doi.org/10.1292/jvms.12-0057.
- van Maanen C, Cullinane A. Equine influenza virus infections: an update. Vet Q. 2002;24(2):79–94. https://doi.org/10.1080/01652176.2002.9695136.
- Webster RG, Bean WJ, Gorman OT, Chambers TM, Kawaoka Y. Evolution and ecology of influenza A viruses. Microbiol Rev. 1992;56(1):152–79. https://doi.org/10.1128/mr.56.1.152-179.
- Mumford JA, Wood J. Conference report on WHO/OIE meeting: consultation on newly emerging strains of equine influenza. Vaccine. 1993;11:1172–5.
- OIE Expert Surveillance Panel on Equine Influenza Vaccine Composition. OIE, Paris, 4 April 2019. Bull OIE. 2019;2019(2):3013. https://doi.org/10.20506/BULL.2019.2.3013
- Bryant NA, Rash AS, Russell CA, Ross J, Cooke A, Bowman S, et al. Antigenic and genetic variations in European and North American equine influenza virus strains (H3N8) isolated from 2006 to 2007. Vet Microbiol. 2009;138(1–2):41–52. https://doi.org/10.1016/j.vetmic.2009.03.004.
- Bryant NA, Rash AS, Woodward AL, Medcalf E, Helwegen M, Wohlfender F, et al. Isolation and characterization of equine influenza viruses (H3N8) from Europe and North America from 2008 to 2009. Vet Microbiol. 2011;147(1–2):19–27. https://doi.org/10.1016/j.vetmic.2010.05.040.
- Qi T, Guo W, Huang WQ, Li HM, Zhao LP, Dai LL, et al. Isolation and genetic characterization of H3N8 equine influenza virus from donkeys in China. Vet Microbiol. 2010;144(3–4):455–60. https://doi.org/10.1016/j.vetmic.2010.01.006.
- Virmani N, Bera BC, Singh BK, Shanmugasundaram K, Gulati BR, Barua S, et al. Equine influenza outbreak in India (2008–09): virus isolation, sero-epidemiology and phylogenetic analysis of HA gene. Vet Microbiol. 2010;143(2–4):224–37. https://doi.org/10.1016/j.vetmic.2009.12.007.
- Yondon M, Heil GL, Burks JP, Zayat B, Waltzek TB, Jamiyan BO, et al. Isolation and characterization of H3N8 equine influenza A virus associated with the 2011 epizootic in Mongolia. Influenza Other Respir Viruses. 2013;7(5):659–65. https://doi.org/10.1111/irv.12069.
- Adeyefa CAO, James ML, McCauley JW. Antigenic and genetic analysis of equine influenza viruses from tropical Africa in 1991. Epidemiol Infect. 1996;117(2):367–74. https://doi.org/10.1017/s0950268800001552.
- Adeyefa CA, Hamblin C, Cullinane AA, McCauley JW. Nationwide serological survey of equine influenza in Nigeria. Rev Elev Med Vet Pays Trop. 1996;49(1):24–7.
- Meseko CA, Ehizibolo DO, Nwokike EC, Wungak YS. Serological evidence of equine influenza virus in horse stables in Kaduna, Nigeria. J Equine Sci. 2016;27(3):99–105. https://doi.org/10.1294/jes.27.99.
- Mkpuma N, Ogunmolawa O, Daspan A, Meseko C, Asala O, Iroha I, et al. Serological detection of Influenza A virus in horses and donkeys sold and slaughtered in Ebonyi State, Nigeria. Journal of Veterinary and Biomedical Sciences. 2025;7(1):1–9.
- Shittu I, Meseko CA, Sulaiman LP, Inuwa B, Mustapha M, Zakariya PS, et al. Fatal multiple outbreaks of equine influenza H3N8 in Nigeria, 2019: the first introduction of Florida clade 1 to West Africa. Vet Microbiol. 2020;248:108820. https://doi.org/10.1016/j.vetmic.2020.108820.
- Diallo AA, Souley MM, Ibrahim AI, Alassane A, Issa R, Gagara H, et al. Transboundary spread of equine influenza viruses (H3N8) in West and Central Africa: molecular characterization of identified viruses during outbreaks in Niger and Senegal, in 2019. Transbound Emerg Dis. 2021;68(3):1253–62. https://doi.org/10.1111/tbed.13779.
- Wegdan H, Saeed I, Ihsan HA, Sahar ME, Baraa AM, Ahmed OA, et al. Isolation and identification of equine influenza H3N8 virus from clinical cases in Khartoum State, Sudan. Int J Anim Biol. 2015;1(6):298–301.
- Ahmed B, Ahmed H, El-Sanousi A. Isolation and characterization of H3N8 equine influenza virus associated with 2008 EI outbreak in Egypt. Egypt J Virol. 2011;8:1–12.
- Kareche H, Valle-Casuso JC, Madeline A, Froger D, Lecouturier F, Gonzalez G. Equine influenza outbreak in Eastern Algeria in 2021: the first introduction of Florida Clade 1 to Maghreb area. Comp Immunol Microbiol Infect Dis. 2024;104:102109. https://doi.org/10.1016/j.cimid.2023.102109.
- Mumford JA, Wood JM. Establishing an acceptable model for equine influenza vaccine efficacy. Dev Biol Stand. 1993;79:137–46.
- World Organisation for Animal Health (WOAH). Terrestrial Animal Health Code: Surveillance and Risk-Based Sampling Frameworks. Paris: France; 2024.
- World Organisation for Animal Health (WOAH). Manual of Diagnostic Tests and Vaccines for Terrestrial Animals. Paris: France; 2021.
- Thrusfield M, Christley R. A comprehensive introduction to the role of epidemiology in veterinary medicine. Veterinary Epidemiology. 4th ed. Hoboken: Wiley Blackwell; 2018. ISBN: 978-1-118-28028-7.
- Spackman E, Sitaras I. Animal influenza virus: methods and protocols. New York: Springer; 2020.
- Perglione CO, Gildea S, Rimondi A, Miño S, Vissani A, Carossino M, et al. Epidemiological and virological findings during multiple outbreaks of equine influenza in South America in 2012. Influenza Other Respir Viruses. 2016;10(1):37–46. https://doi.org/10.1111/irv.12349.
- Hoffmann B, Hoffmann D, Henritzi D, Beer M, Harder TC. Riems influenza A typing array (RITA): an RT-qPCR-based low density array for subtyping avian and mammalian influenza A viruses. Sci Rep. 2016;6:27211. https://doi.org/10.1038/srep27211.
- Fusaro A, Zecchin B, Vrancken B, Abolnik C, Ademun R, Alassane A, et al. Disentangling the role of Africa in the global spread of H5 highly pathogenic avian influenza. Nat Commun. 2019;10(1):5310. https://doi.org/10.1038/s41467-019-13287-y.
- Buffalo V. Scythe: A Bayesian adapter trimmer (Version 0.994 BETA) [Software]. 2011. Available from: https://github.com/vsbuffalo/scythe
- Joshi NA, Fass JN. Sickle: A sliding-window, adaptive, quality-based trimming tool for FastQ files (Version 1.33) [Software]. 2011. Available from: https://github.com/najoshi/sickle
- Li H, Durbin R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics. 2010;26(5):589–95. https://doi.org/10.1093/bioinformatics/btp698.
- Schmidt S. Measuring absorptive capacity. Proc Int Conf Intellect Capital Knowl Manag Organ Learn. 2009;:254–60. https://doi.org/10.1101/gr.107524.110.20.
- Broad Institute. Picard Toolkit. 2019. Broad Institute, GitHub repository. Available from: http://broadinstitute.github.io/picard/
- Gurevich A, Saveliev V, Vyahhi N, Tesler G. QUAST: quality assessment tool for genome assemblies. Bioinformatics. 2013;29(8):1072–5. https://doi.org/10.1093/bioinformatics/btt086.
- Wilm A, Aw PP, Bertrand D, Yeo GH, Ong SH, Wong CH, et al. LoFreq: a sequence-quality aware, ultrasensitive variant caller for uncovering cell-population heterogeneity from high-throughput sequencing datasets. Nucleic Acids Res. 2012;40(22):11189–201. https://doi.org/10.1093/nar/gks918.
- Katoh K, Standley DM. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Mol Biol Evol. 2013;30(4):772–80. https://doi.org/10.1093/molbev/mst010.
- Letunic I, Bork P. Interactive tree of life (iTOL) v5: an online tool for phylogenetic tree display and annotation. Nucleic Acids Res. 2021;49(W1):W293–6. https://doi.org/10.1093/nar/gkab301.
- Featherstone LA, Rambaut A, Duchêne S, Wirth W. Clockor 2: inferring global and local strict molecular clocks using root-to-tip regression. Syst Biol. 2024;73(1):syae003. https://doi.org/10.1093/sysbio/syae003.
- Drummond AJ, Ho SYW, Phillips MJ, Rambaut A. Relaxed phylogenetics and dating with confidence. PLoS Biol. 2006;4(5):e88. https://doi.org/10.1371/journal.pbio.0040088.
- Ferreira MAR, Suchard MA. Bayesian analysis of elapsed times in continuous-time Markov chains. Can J Stat. 2008;36(3):355–68. https://doi.org/10.1002/cjs.5550360302.
- Yang Z. Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: approximate methods. J Mol Evol. 1994;39(3):306–14. https://doi.org/10.1007/BF00160154.
- Lemey P, Rambaut A, Welch JJ, Suchard MA. Phylogeography takes a relaxed random walk in continuous space and time. Mol Biol Evol. 2010;27(8):1877–85. https://doi.org/10.1093/molbev/msq067.
- Gill MS, Lemey P, Faria NR, Rambaut A, Shapiro B, Suchard MA. Improving Bayesian population dynamics inference: a coalescent-based model for multiple loci. Mol Biol Evol. 2013;30(3):713–24. https://doi.org/10.1093/molbev/mss265.
- 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. https://doi.org/10.1093/ve/vey016.
- Schwarz G. Estimating the dimension of a model. Ann Stat. 1978;6(2):461–74.
- Ayres DL, Darling A, Zwickl DJ, Beerli P, Holder MT, Lewis PO. BEAGLE: an application programming interface and high-performance computing library for statistical phylogenetics. Syst Biol. 2012;61(1):170–3. https://doi.org/10.1093/sysbio/syr100.
- Rambaut A, Drummond AJ, Xie D, Baele G, Suchard MA. Posterior summarisation in Bayesian phylogenetics using Tracer 1.7. Syst Biol. 2018;67(5):901–4. https://doi.org/10.1093/sysbio/syy03
- Rambaut A. FigTree v1.4.4, a graphical viewer of phylogenetic trees. 2018. Available from: http://tree.bio.ed.ac.uk/software/figtree/
- Lemey P, Rambaut A, Drummond AJ, Suchard MA. Bayesian phylogeography finds its roots. PLoS Comput Biol. 2009;5(9):e1000520. https://doi.org/10.1371/journal.pcbi.1000520.
- Nahata KD, Bielejec F, Monetta J, Dellicour S, Rambaut A, Suchard MA, et al. SPREAD 4: online visualisation of pathogen phylogeographic reconstructions. Virus Evol. 2022;8(2):veac088. https://doi.org/10.1093/ve/veac088.
- Nielsen H, Engelbrecht J, Brunak S, von Heijne G. Identification of prokaryotic and eukaryotic signal peptides and prediction of their cleavage sites. Protein Eng. 1999;12:3–9.
- Kirkpatrick E, et al. Molecular basis of H3N8 equine influenza virus antigenic drift. J Virol. 2022;96:e00912-e922. https://doi.org/10.1128/jvi.00912-22.
- Sun Y, Pu J, Jiang Z, et al. Evolutionary and molecular characteristics of H3N8 equine influenza virus isolated in China. Virus Res. 2019;270:197648. https://doi.org/10.1016/j.virusres.2019.197648.
- Kumar S, Stecher G, Li M, Knyaz C, Tamura K. MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol. 2018;35(6):1547–9. https://doi.org/10.1093/molbev/msy096.
- Burke DF, Smith DJ. A recommended numbering scheme for influenza A HA subtypes. PLoS ONE. 2014;9(11):e112302. https://doi.org/10.1371/journal.pone.0112302.
- Schrödinger, LLC. The PyMOL Molecular Graphics System, Version 2.5. 2021. Available from: https://pymol.org/
- Lin YP, Xiong X, Wharton SA, Martin SR, Coombs PJ, Vachieri SG. Evolution of the receptor binding properties of the influenza A(H3N2) hemagglutinin. Proc Natl Acad Sci USA. 2012;109(52):21474–9.
- Cullinane A, Elton D, Mumford JA. Equine influenza—surveillance and control. Vet Microbiol. 2021;257:109095.
- Murcia PR, Wood JL, Holmes EC. Genome-scale evolution and phylodynamics of equine H3N8 influenza A virus. J Gen Virol. 2011;92(Pt 10):2338–48.
- Paillot R, Rash A, Garrett D, Lopez-Alvarez MR, Montesso F, Cullinane A. Evolution of equine influenza virus NS gene and its impact on host–virus interactions. Pathogens. 2020;9(8):623.
- Badr C, Arbi M, Souiai O, Larbi I, Nsiri J, Elbehi I, et al. Tracing the 2021 equine influenza outbreak: First characterization and phylogeographic analysis of H3N8 Florida clade 1 virus in Tunisia. Virology. 2025;611:110655. https://doi.org/10.1016/j.virol.2025.110655.
- Newton JR, Daly JM, Spencer L, Mumford JA. Description of the outbreak of equine influenza (H3N8) in the United Kingdom in 2003, during which recently vaccinated horses in Newmarket developed respiratory disease. Vet Rec. 2006;158(6):185–92. https://doi.org/10.1136/vr.158.6.185.
- Mena J, Brito B, Moreira R, Tadich T, Gonzalez I, Cruces J. Reemergence of H3N8 equine influenza A virus in Chile, 2018. Transbound Emerg Dis. 2018;65(6):1408–15. https://doi.org/10.1111/tbed.12984.
- Olguin-Perglione C, Vissani MA, Alamos F, Tordoya MS, Barrandeguy M. Multifocal outbreak of equine influenza in vaccinated horses in Argentina in 2018: epidemiological aspects and molecular characterization of the involved virus strains. Equine Vet J. 2020;52(3):420–7. https://doi.org/10.1111/evj.13176.
- Nemoto M, Reedy SE, Yano T, Suzuki K, Fukuda S, Garvey M, et al. Antigenic comparison of H3N8 equine influenza viruses belonging to Florida sublineage clade 1 between vaccine strains and North American strains isolated in 2021–2022. Arch Virol. 2023;168(3):94. https://doi.org/10.1007/s00705-023-05720-x.
- Moreira R, García A, Ahumada C, Badía C, Suárez P, Yangari B, et al. Report of 2018 equine influenza outbreak in Chile. Austral J Vet Sci. 2019;51:27–31. https://doi.org/10.4067/S0719-81322019000100105.
- Yang H, Xiao Y, Meng E, Sun F, Chen M, Cheng Z, et al. Emergence of H3N8 equine influenza virus in donkeys in China in 2017. Vet Microbiol. 2018;214:1–6. https://doi.org/10.1016/j.vetmic.2017.033.
- Food and Agriculture Organization of the United Nations (FAO). Healthier donkeys to bring stronger livelihoods in Africa. Rome: FAO; 2020 Mar 19 [cited 2025 Aug]. Available from: https://www.fao.org/africa/news-stories/news-detail/Healthier-donkeys-to-bring-stronger-livelihoods-in-Africa-/en
- Murcia PR, Wood JL, Holmes EC. Genome-scale evolution and phylodynamics of equine H3N8 influenza A virus. J Virol. 2011;85(11):5312–22.
- Hughes J, Allen RC, Baguelin M, Hampson K, Baillie GJ, Ferguson NM. Transmission dynamics of equine influenza virus and the potential for its persistence in horses. Proc R Soc Lond B Biol Sci. 2015;282(1818):20141884.
- Daly JM, Newton JR, Mumford JA. Current perspectives on control of equine influenza. Vet Res. 2011;42:59. https://doi.org/10.1186/1297-9716-42-59.
- Miño S, Mojsiejczuk L, Guo W, Zhang H, Qi T, Du C, et al. Equine influenza virus in Asia: phylogeographic pattern and molecular features reveal circulation of an autochthonous lineage. J Virol. 2019;93:e00116–19. https://doi.org/10.1128/JVI.00116-19.
- Lee K, Pusterla N, Barnum SM, Lee D-h, Martínez-López B. Investigation of cross-regional spread and evolution of equine influenza H3N8 at US and global scales using Bayesian phylogeography based on balanced subsampling. Transbound Emerg Dis. 2022;69:e1734–e1748. https://doi.org/10.1111/tbed.14509.
- Alves Beuttemmüller E, Woodward A, Rash A, Dos Santos Ferraz LE, Fernandes Alfieri A, Alfier AA, et al. Characterization of the epidemic strain of H3N8 equine influenza virus responsible for outbreaks in South America in 2012. Virol J. 2016;13:50. https://doi.org/10.1186/s12985-016-0503-9.
- Sreenivasan CC, Jandhyala SS, Luo S, Hause BM, Thomas M, BKnudsen DE. Phylogenetic analysis and characterization of a sporadic isolate of equine influenza A H3N8 from an unvaccinated horse in 2015. Viruses. 2018;10(1):31. https://doi.org/10.3390/v10010031.
- Alaql FA, Alhafufi AN, Kasem S, Alhammad YMO, Albaqshi H, Alyousaf A. Full-length genome of the equine influenza A virus subtype H3N8 from 2019 outbreak in Saudi Arabia. Animals. 2022;12(19):2720. https://doi.org/10.3390/ani12192720.
- Fougerolle S, Legrand L, Lecouturier F, Sailleau C, Paillot R, Hans A. Genetic evolution of equine influenza virus strains (H3N8) isolated in France from 1967 to 2015 and the implications of several potential pathogenic factors. Virology. 2017;505:210–7. https://doi.org/10.1016/j.virol.2017.02.003.
- Nemoto M, Ohta M, Yamanaka T, Kambayashi Y, Bannai H, Tsujimura K. Antigenic differences between equine influenza virus vaccine strains and Florida sublineage clade 1 strains isolated in Europe in 2019. Vet J. 2021;272:105674. https://doi.org/10.1016/j.tvjl.2021.105674.
- Caton AJ, Brownlee GG, Yewdell JW, Gerhard W. The antigenic structure of the influenza virus A/PR/8/34 hemagglutinin (H1 subtype). Cell. 1982;31(2 Pt 1):417–27. https://doi.org/10.1016/0092-8674(82)90135-0.
- Koel BF, Burke DF, Bestebroer TM, van der Vliet S, Zondag GC, Vervaet G. Substitutions near the receptor binding site determine major antigenic change during influenza virus evolution. Science. 2013;342(6161):976–9. https://doi.org/10.1126/science.1244730.
- Jin H, Zhou H, Liu H, Chan W, Adhikary L, Mahmood K. Two residues in the hemagglutinin of A/Fujian/411/02-like influenza viruses are responsible for antigenic drift from A/Panama/2007/99. Virology. 2005;336(1):113–9. https://doi.org/10.1016/j.virol.2005.03.010.
- Woodward A, Rash AS, Medcalf E, Bryant NA, Elton DM. Using epidemics to map H3 equine influenza virus determinants of antigenicity. Virology. 2015;481:187–98. https://doi.org/10.1016/j.virol.2015.02.027.
- Yamanaka T, Cullinane A, Gildea S, Bannai H, Nemoto M, Tsujimura K. The potential impact of antigenic drift on equine influenza vaccine effectiveness. Front Vet Sci. 2016;3:95.
- Moreira R, García A, Ahumada C, Badía C, Suárez P, Yangari B, et al. Report of 2018 equine influenza outbreak in Chile. Austral J Vet Sci. 2019;51(1):27–31. https://doi.org/10.4067/S0719-81322019000100105.
- Smith DJ, Lapedes AS, de Jong JC, Bestebroer TM, Rimmelzwaan GF, Osterhaus AD. Mapping the antigenic and genetic evolution of influenza virus. Science. 2004;305(5682):371–6. https://doi.org/10.1126/science.1097211.
- Lee K, Pusterla N, Barnum SM, Lee D-H, Martínez-López B. Investigation of cross-regional spread and evolution of equine influenza H3N8 at US and global scales using Bayesian phylogeography based on balanced subsampling. Transbound Emerg Dis. 2022;69:e1734–48. https://doi.org/10.1111/tbed.14509.
- Resa-Infante P, Jorba N, Coloma R, Ortín J. The influenza virus RNA synthesis machine: advances in its structure and function. RNA Biol. 2011;8(2):207–15.
- Taft AS, Ozawa M, Fitch A. Identification of molecular determinants of influenza virus polymerase activity through proteomic analysis of PB2 interactors. J Virol. 2020;94(12):e00120–20.
- Bryant NA, Rash AS, Russell CA, Ross J, Cooke A, Bowman S. Antigenic and genetic variations in equine influenza viruses: implications for immunization. Vaccine. 2009;27(6):865–73.
- Rash A, Morton R, Woodward A, Maes O, McCauley JW, Bryant NA. Evolution and divergence of equine influenza viruses (H3N8) isolated in Europe from 2006 to 2012. Virology. 2014;458–459:1–11.
- Hale BG, Randall RE, Ortín J, Jackson D. The multifunctional NS1 protein of influenza A viruses. J Gen Virol. 2008;89(Pt 10):2359–76.
- Egorov A, Brandt S, Sereinig S. NS1 mutations affect interferon sensitivity and viral virulence in influenza A viruses. J Virol. 2011;85(20):10438–47.
- Air GM. Influenza neuraminidase. Influenza Other Respir Viruses. 2012;6(4):245–56.
- Kobayashi Y, Suzuki Y. Evidence for N-glycan shielding of antigenic sites during evolution of human influenza A virus hemagglutinin. J Virol. 2016;90(2):682–93.
- Sandbulte MR, Gao J, Straight TM, Eichelberger MC. A miniaturized assay for influenza neuraminidase-inhibiting antibodies utilizing reverse genetics-derived antigens. Influenza Other Respir Viruses. 2011;5(4):330–40.
Citations
This article has been cited 0 times.Use Nutrition Calculator
Check if your horse's diet meets their nutrition requirements with our easy-to-use tool Check your horse's diet with our easy-to-use tool
Talk to a Nutritionist
Discuss your horse's feeding plan with our experts over a free phone consultation Discuss your horse's diet over a phone consultation
Submit Diet Evaluation
Get a customized feeding plan for your horse formulated by our equine nutritionists Get a custom feeding plan formulated by our nutritionists