| Literature DB >> 32183621 |
Sung-Su Youk1,2, Dong-Hun Lee1,3, Jei-Hyun Jeong2, Mary J Pantin-Jackwood1, Chang-Seon Song2, David E Swayne1.
Abstract
Live bird markets (LBMs) in Korea have been recognized as a reservoir, amplifier, and source of avian influenza viruses (AIVs); however, little was known about the role of LBMs in the epidemiology of AIVs in Korea until recently. Through 10 years of surveillance (2006-2016) we have isolated and sequenced H9N2 viruses in Korean LBMs. To understand how H9N2 evolves and spreads in Korea, a statistical Bayesian phylogenetic model was used. Phylogenetic analysis suggests that three separate introductions of progenitor gene pools, Korean domestic duck-origin and two wild aquatic bird-origin AIVs, contributed to the generation of the five genotypes of H9N2 viruses in Korea. Phylogenetic reconstruction of ecological states infer that the LBMs are where chickens become infected with the virus, with domestic ducks playing a major role in the transmission and evolution of the H9N2 viruses. Three increases in the genetic diversity of H9N2 viruses were observed and coincided with transitions in host species and the locations (domestic farm, LBM, slaughterhouse, and wild aquatic bird habitat) where the viruses were isolated, accompanying genetic reassortment. Following the introduction of a wild aquatic bird-origin AIVs in 2008, six genes of the Korean lineage H9N2 virus were replaced with genes originating from wild aquatic birds, and viruses with this new genotype became predominant in Korean LBMs.Entities:
Keywords: Avian influenza; Korean H9N2; ecology; evolution; live bird market; reassortment
Mesh:
Year: 2020 PMID: 32183621 PMCID: PMC7144223 DOI: 10.1080/22221751.2020.1738903
Source DB: PubMed Journal: Emerg Microbes Infect ISSN: 2222-1751 Impact factor: 7.163
Figure 1.Genotype classification and time of virus isolation. Korean H9N2 virus (MS96) were designated as the backbone, and three progenitor gene pools (KJ03, ESD3-3, and W113) were assigned. (A) Each reassortment event generates different genome combinations. (B) The time of isolation of the three progenitor gene pools were followed by the generation of each genotype.
Figure 2.Estimation of changes in ecological states and genotypes on a time-scaled phylogenetic tree. Ecological states (A) and genotypes (B) of H9N2 viruses were reconstituted on a discrete state space and visualized on a time-scaled phylogenetic tree of the HA gene. The graph attached to the trees shows the proportional Markov jump reward of ecological state (A) and genotypes (B) over time.
Figure 3.Posterior probabilities of ecological states and genotypes extracted from internal branches of the HA Bayesian phylogenetic tree. Posterior probabilities in the same Bayesian phylogenetic tree matching ecological state and genotype were extracted and plotted.
Figure 4.Heat maps showing source–sink dynamics and mean transition rates between ecological states (0–3.0+). The Y- and X-axes represent the source and sink, respectively. All statistically supported interactions are marked with special symbols (#, 3 < BF < 10; *, 10 < BF < 100; **, 100 < BF < 1000; ***, BF > 1000).
Figure 5.Gaussian Markov random field Bayesian skyline plot of eight genes from H9N2 viruses and time-delimited Markov jump count of the HA gene. (A) Each segment of the H9N2 virus was used to calculate the relative genetic diversity over time. Linear lines and shaded areas bounded by dotted lines represent the mean relative genetic diversity and 95% highest posterior density value, respectively. Black lines and adjacent grey areas represent the MS96 group. Blue lines and the adjacent blue area represent the W113 group. The blue shaded area with contrast separate W113 group genes into presence in Korean wild aquatic bird (light blue) and in Korean poultry (deep blue). Time points of the separation were inferred from a TMRCA of Korean poultry in each segment. (B) Mean jump counts of HA gene over time were calculated between ecological state and visualized by heat maps.