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Microbiology Spectrum logoLink to Microbiology Spectrum
. 2022 Jan 12;10(1):e00822-21. doi: 10.1128/spectrum.00822-21

Molecular and Antigenic Characterization of Avian H9N2 Viruses in Southern China

Wanwan Yan a,#, Hongrui Cui a,b,#, Marc Engelsma c, Nancy Beerens c, Monique M van Oers d, Mart C M de Jong b, Xuesong Li a, Qinfang Liu a, Jianmei Yang a, Qiaoyang Teng a,, Zejun Li a,
Editor: Gabriel I Parrae
PMCID: PMC8754122  PMID: 35019707

ABSTRACT

The H9N2 subtype avian influenza virus (AIV) has become endemic in poultry globally; however due to its low pathogenicity, it is not under primary surveillance and control in many countries. Recent reports of human infection caused by H9N2 AIV has increased public concern. This study investigated the genetic and antigenic characteristics of H9N2 AIV isolated from local markets in nine provinces in Southern China from 2013 to 2018. We detected an increasing annual isolation rate of H9N2 AIV. Phylogenetic analyses of hemagglutinin (HA) genes suggests that isolated strains were rooted in BJ94 lineage but have evolved into new subgroups (II and III), which derived from subgroup I. The estimated substitution rate of the subgroup III strains was 6.23 × 10−3 substitutions/site/year, which was 1.5-fold faster than that of the average H9N2 HA rate (3.95 × 10−3 substitutions/site/year). Based on the antigenic distances, subgroup II and III strains resulted in two clear antigenic clusters 2 and 3, separated from the vaccine strain F98, cluster 1. New antigenic properties of subgroup III viruses were associated with 11 amino acid changes in the HA protein, suggesting antigenic drift in H9N2 viruses. Our phylogenetic and antigenic analyses of the H9N2 strains circulating in local markets in Southern China provide new insights on the antigenic diversification of H9N2 viruses.

IMPORTANCE The H9N2 low pathogenicity avian influenza (LPAI) virus has become endemic in poultry globally. In several Asian countries, vaccination against H9N2 avian influenza virus (AIV) was approved to reduce economic losses in the poultry industry. However, surveillance programs initiated after the introduction of vaccination identified the persistence of H9N2 AIV in poultry (especially in chicken in South Korea and China). Recent reports of human infection caused by H9N2 AIV has increased public concern. Surveillance of H9N2 circulating in poultry in the fields or markets was essential to update the vaccination strategies. This study investigated the genetic and antigenic characteristics of H9N2 AIVs isolated from local markets in nine provinces in Southern China from 2013 to 2018. The discovery of mutations in the hemagglutinin (HA) gene that result in antigenic changes provides a baseline reference for evolutionary studies of H9N2 viruses and vaccination strategies in poultry.

KEYWORDS: phylogenic analysis, antigenic change, LPAI, H9N2

INTRODUCTION

Currently, H9N2 avian influenza virus (AIV) is one of the predominant subtypes (together with H5 and H7 subtype AIVs) circulating in both wild birds and poultry (1, 2). Ever since the first isolation reported in the United States in 1966, the H9N2 subtype AIV has become endemic in many countries across different continents, including Africa, Asia, and Europe (3, 4). Despite the direct economic loss in the poultry industry over the past decade, H9N2 AIV also has a potential threat for public health by providing inner genes for reassortment. Recent reports of human infection caused by H9N2 AIV has increased public concerns (58).

Surveillance of H9N2 AIV is carried out in many countries, especially China and other Asian countries in which live poultry markets (LPMs) are potential areas for human-poultry transmission or reassortment (9, 10). Genetic analyses of H9N2 AIV show two main phylogenic branches, the Eurasian branch and the American branch. The Eurasian branch consists of at least three stable poultry lineages, G1 (A/quail/Hong Kong/G1/1997), BJ94 (A/chicken/Beijing/1/94), and Y439/Korean (A/chicken/Hong Kong/Y439/1997) (11, 12). However, research shows that the dominant H9N2 AIV lineage differs depending on which region of endemicity is considered. The BJ-94-like lineage is suggested to be dominant in poultry on mainland China (11). Li et al. reported that hemagglutinin (HA) genes of some H9N2 isolates from chicken and other hosts between 2009 and 2011 were derived mainly from the Y280-like lineage (13). In addition, Yang et al. reported G9-like H9N2 viruses as being isolated primarily in mainland China (14). The Y280 and G9 lineage developed from the early BJ94 lineage has been detected throughout China since 1994 (4).

In addition to surveillance programs, some countries have also implemented poultry vaccination to prevent H9N2 AIV from becoming endemic (1518). After 1998, the vaccination program was implemented in China with inactivated H9N2 vaccines based on the A/chicken/Shanghai/F/98 strain (16) and A/chicken/Shandong/6/96 strain (19). Korea started the national vaccination strategy using inactivated H9N2 vaccine in 2007 (20). However, due to the rapid mutation of RNA viruses, AIVs undergo antigenic drift under immune pressure from the large-scale and long-term use of vaccines. Lessons learned from the failure of vaccines in prohibiting virus shedding and transmission of AIV (21, 22) show the need for regular updates of vaccine strains. For example, the A/chicken/Shanghai/F/98 strain was found to be entirely different from the G1 lineage directly related to human infection in Hong Kong, which was then selected for a commercial poultry vaccine used on mainland China (23, 24). Thus, surveillance programs providing information on the genetic characteristics of H9N2 AIV that relate to potential antigenic changes contribute to better management. Additionally, the continuous circulation of H9N2 in vaccinated poultry not only hints at an antigenic drift and/or clade replacement by vaccine but also introduces doubt on whether inactivated vaccines are effective at stopping transmission of low pathogenicity avian influenza (LPAI) H9N2 in poultry. Our previous research (25) indicated the high possibility of transmission in vaccinated chickens with inactivated vaccines. This, consequently, might lead genetic changes toward antigenic mutations. Research that combines genetic mutations with antigenic changes is needed to better understand the molecular determinants of H9 antigenicity.

Since 2003, monitoring programs of LPAI H9N2 in Southern China were conducted by the Research Team of the Etiologic Ecology of Animal Influenza and Avian Emerging Viral Disease in Shanghai Veterinary Research Institute (SHVRI). Swab samples from domestic poultry (chickens, ducks, pigeons, geese) were collected annually in the local markets in Southern China. The most recent samples collected from 2013 to 2018 showed an increasing annual isolation rate of H9N2 AIV in Southern China. The phylogenetic and antigenic analyses of the H9N2 isolates were combined to identify a common clustering change. The most recent isolates clustered together but were far from the vaccine strains. Isolated strains forming a novel antigenic group in antigenic assays also clustered in a new subgroup in the phylogenetic tree. The evolution rate of strains in the new antigenic group was estimated to be higher than the average rate of H9N2 in China. Moreover, amino acid changes on HA protein indicating potential antigenic sites provide new evidence for the molecular evolution of H9N2.

RESULTS

Epidemiology information of samples from Southern China during 2013 to 2018.

To monitor the prevalence of H9N2 AIV in Southern China, we collected oropharynx and cloaca samples of poultry from LPMs in nine cities of different provinces in Southern China. From 2013 to 2018, a total of 13,981 samples were collected from chickens (9,363 samples), ducks (4,505 samples), geese (81 samples), and pigeons (32 samples) in different LPMs (Table 1). H4, H6, H9, and H10 subtypes of AIVs were identified. The total isolation rate of the H9N2 subtype accounted for the majority of the 1,549 avian influenza-positive samples, with a ratio of 78.18% (1,211/1,549) over the whole period. The isolation rates of H9N2 AIV in 2013, 2014, 2015, 2016, 2017, and 2018 were 2.67% (104/3,895), 6.10% (225/3,689), 15.69% (339/2,161), 15.25% (329/2,158), 10.44% (188/1,801), and 9.39% (26/277), respectively (Fig. 1a; Table 1). At a regional perspective, the H9N2 AIV isolation rate is higher in the three provinces and cities: Guangzhou, 11.23%; Shanghai, 10.88%; Jiangxi 10.79% (Fig. 1b). In total, 113 H9 strains were isolated from 2013 to 2018 in this study, while 100 H9 viruses were isolated from chickens and 13 H9 viruses were isolated from ducks. No H9 strains were isolated from geese or pigeons in this study.

TABLE 1.

H9N2 isolation rate out of the AIV-positive samples collected from field markets in Southern China from 2013 to 2018

Isolation yra
2013
2014
2015
2016
2017
2018
City Totalb AIVc H9N2d Totalb AIVc H9N2d Totalb AIVc H9N2d Totalb AIVc H9N2d Totalb AIVc H9N2d Totalb AIVc H9N2d
Guangzhou 1232 75 59 861 79 47 632 133 120 606 181 171 302 14 11 NA NA NA
Fujian 478 16 11 339 46 24 184 42 36 140 25 22 156 29 25 95 21 20
Jiangxi NA NA NA 386 55 30 244 32 26 300 30 25 256 47 47 NA NA NA
Zhejiang 154 2 2 158 10 4 130 27 22 NA NA NA NA NA NA NA NA NA
Shanghai 288 24 21 273 35 25 61 3 2 32e 32 17 155 24 23 NA NA NA
Anhui 446 6 6 359 36 19 330 48 31 360 0 0 313 37 28 NA NA NA
Jiangsu 337 0 0 516 30 18 281 72 54 305 31 26 419 48 37 158 1 1
Shandong 514 1 0 459 42 33 21e 19 15 207 32 31 NA NA NA NA NA NA
Hunan 446 11 5 338 47 25 278 35 33 208 38 37 200 27 17 24 6 5
Total 3895 135 104 3689 380 225 2161 411 339 2158 369 329 1801 226 188 277 28 26
a

NA, no data.

b

Number of total swab samples collected from ducks/chickens in the market.

c

Total number of AIV-positive samples.

d

Total number of H9N2-positive samples.

e

Samples from sick poultry with flu-like symptoms that tested positive in the HA assay.

FIG 1.

FIG 1

Isolation information of H9N2 in nine provinces in Southern China. (a) Annual isolation rate of H9N2 from all nine provinces in Southern China. The total height of every bar in the histogram is the total number of AIV-positive samples collected per year from 2013 to 2018. The top yellow part of the bar is the number of detected H9N2-positive samples. The gray line shows the isolation rate of H9N2 over the years. (b) The isolation rate of H9N2 in each province in the period from 2013 to 2018. Based on the 5-year total isolation rate, the provinces are color marked: dark red shows the highest isolation rate in percentages in the period under study. The data from the top three areas were listed. No samples were collected in gray areas.

The phylogenic tree of HA genes.

To analyze the genetic evolution of the HA gene of the H9N2 isolates, 113 representative isolates were selected to perform HA gene sequencing and further analysis based on geographical and host differences. These included 21 viruses isolated in 2013, 42 in 2014, 23 in 2015, 7 in 2016, 11 in 2017, and 9 in 2018. Online HA sequences were used for the phylogenetic tree, including 4 in 2013, 3 in 2014, 7 in 2015, 11 in 2016, 8 in 2017, and 9 in 2018. Phylogenetic analysis showed that the HA genes of the isolates from 2013 to 2018 were all distributed in subgroup II or subgroup III, except for A/chicken/Guangdong/D2703/2013 and A/chicken/Fujian/F1132/2015 and the commercial vaccine strain A/chicken/Shanghai/F/1998 (F/98), which were colocated in subgroup I (Fig. 2a). Among them, the virus strains located in subgroup II included five isolates (5/21, 23.8%) in 2013, 14 isolates (14/42, 33.3%) in 2014, 4 isolates (4/23, 17.4%) in 2015, 1 isolate (1/7, 14.3%) in 2016, and 4 isolates (4/11, 36.4%) in 2017. The subgroup II lineage was represented by A/chicken/Zhejiang/HJ/2007, belonging to the G57 genotype described previously (26).

FIG 2.

FIG 2

(a to c) Neighbor-joining tree of the HA gene (a) and antigenic distance of H9N2 isolated strains to vaccine strain F98 (b and c). H9N2 strains were isolated from 2013 to 2018 and are represented as an asterisk (*). The isolated viruses were selected for antigenic analysis and are represented in different colors for each year. A phylogenic tree of HA genes (a) and antigenic distance of H9N2 isolated strains to the vaccine strain F98 (b and c) are shown. The y axis represents the antigenic distance of the selected H9N2 isolates to the vaccine strain (F98), which is natural number rather than log10 or log2. The distance of the F98 strain to its own antisera was 0. The x axis shows the isolation year. The antigenic distance is calculated by Disij = l=1L(vil − ajl)2, where L is the dimension of the HI matrix; 1 unit distance is 1 HI titer; MDS, multidimensional scaling.

In addition, a new branch of evolution, subgroup III, began to appear after 2013, including 14 viruses (14/21, 66.7%) isolated in 2013, 28 (28/42, 66.7%) in 2014, 19 (18/23, 78.3%) in 2015, 6 (6/7, 85.7%) in 2016, 7 (7/11, 63.6%) in 2017, and 9 (9/9, 100.0%) in 2018.

To estimate the time when subgroup I, subgroup II, and subgroup III viruses started to appear, the most recent common ancestor (tMRCA) for these time points was estimated based on the HA genes of all H9N2 isolates in the time-scaled phylogenic tree (Fig. S1 in the supplemental material). Subgroup I lineage viruses first emerged in August 1992, with a 95% highest posterior density (HPD) interval from September 1991 to May 1993. The tMRCA of subgroup II viruses was September 1996 (July 1995 to November 1996). The most recently isolated H9N2 strains from 2018 were in subgroup III, of which the tMRCA was estimated as September 2010 (95% HPD interval of January 2010 to May 2011).

A new antigenic cluster of H9N2 emerged.

To monitor the antigenic map of the H9N2 isolated viruses, 27 representative isolates were selected for crossing hemagglutination inhibition (HI) tests, including three viruses isolated in 2013, two in 2014, two in 2015, seven in 2016, seven in 2017, and six in 2018 (Fig. 2a). A vaccine strain F/98 (27) and A/chicken/Shanghai/441/2009 (28) were used as representative viruses of antigenic cluster 1 and antigenic cluster 2, respectively. Four other viruses (A/chicken/Hunan/2106/2009, A/chicken/Jiangsu/A2093/2011, A/chicken/Shanghai/B469/2011, and A/chicken/Hunan/B445/2011) were used in this assay. The antigenic distances of the selected H9N2 strains are shown in Table S3. The antigenic distances of selected H9N2 strains to vaccine strain (F98) were visualized in Fig. 2b. Partial H9N2 isolates from 2013 to 2017 gathered in antigenic cluster 2, including one (1/3, 33.3%) virus isolated in 2013, one (1/2, 50%) in 2015, one (1/7, 14.3%) in 2016, and three (3/7, 42.9%) in 2017 (Fig. 2b, c). A new antigenic cluster (cluster 3) started to appear after 2013, consisting of two (2/3, 66.7%) viruses isolated in 2013, two (2/2, 100.0%) in 2014, one (1/2, 50.0%) in 2015, six (6/7, 85.7%) in 2016, and four (4/7, 57.1%) in 2017. Moreover, all six (100%) H9N2 AIVs isolated in 2018 belonged to antigenic cluster 3.

Viruses from antigenic cluster 3 presented a faster substitution rate.

To study evolutionary rates of the HA gene for H9N2 viruses over time, each antigenic cluster virus was analyzed by calculating the substitution rate of HA genes. The average evolution rate of the HA gene of H9N2 AIVs from 1994 to 2018 was estimated, with 3.95 × 10−3 (95% HPD interval of 3.61E−3 to 4.32E−3) substitutions/site/year over a 25-year period (Fig. 3a). The HA gene of antigenic cluster 1 viruses (subgroup I) had a slower evolution rate (0.86 × 10−3 substitutions/site/year; 95% HPD interval of 0.36E−3 to 1.42E−3), with only 18.75% of the average evolution rate of the HA gene of H9N2 AIVs. In contrast, the HA genes of antigenic cluster 3 viruses (subgroup III) evolved most rapidly with 6.23 × 10−3 substitutions/site/year, 1.5-fold faster than that of the average substitution rate of HA genes for H9N2 viruses (Fig. 3a).

FIG 3.

FIG 3

Substitution rate and diversity of H9N2 HA estimated in BEAST. (a) The substitution rate (substitutions/site/year) of the HA ORF of the main clades of H9N2. All 126 lab-isolated H9N2 strains were analyzed. The values show the mean rate with a 95% HPD interval. (b) Bayesian skyride plot (BSP). The y axis shows the effective population size (log value). The marginal density of the mean rate data estimated by Bayesian skyride are displayed by Kernel density estimation (KDE) in tracer.

To investigate whether this evolutionary rate of HA genes influenced its gene diversity, the HA gene diversity of H9N2 viruses was visualized in the Bayesian skyride plot (BSP) of the viral effective population size (Fig. 3b). The population size of H9N2 HA reached a peak in 2001. From 2001 to 2013 the population sizes were stable. However, after 2013, the population size decreased rapidly. The population has been declining since 2013. At the same time, the subgroup III virus emerged and coexisted with subgroup II viruses, whose evolutionary rates of HA genes were faster than subgroup I viruses. Population size is another measure of genetic diversity. Thus, it seemed that the high evolution rate of the HA gene may lessen genetic diversity.

Potential antigenic-related amino acid residues.

The homology of HA protein from different antigenic clusters was analyzed to assess the potential amino acid residues resulting in antigen drift. Eleven amino acid residues were conserved in vaccine cluster viruses (4 classical vaccine strains used in China) but mutated into the same amino acid residues both in cluster 2 and 3 viruses, including M96L, T205A, D208E, Q226L, N273K, S274R, N275S, V276T, R285K, P306S, and A325S (H3 numbering), indicating that these residues in HA may contribute to the antigen change between cluster 1 and clusters 2/3 (Table 2; Fig. 4a).

TABLE 2.

Specific amino acid mutations on HA of the representative H9N2 isolated strains

Subgroup Potential antigenic sites
RBSa
H3 numbering 57 81 96 133 135 137 145 156 158 159 160 183 188 189 190 192 193 199 205 208 216 273 274 275 276 285 306 325 226 227 228
H9 numberingb 66c 90c 107d 145c 147 149c 153c 164c 166 167c 168c 191 196 197 198c 200c 201 207 213d 216d 224d 282d 283d 285d 287d 294d 315d 334d 234 235 236
HA1 residuese 48 72 89 127 129 131 135 146 148 149 150 173 178 179 180 182 183 189 195 198 206 264 265 267 269 276 297 316 216 217 218
Cluster 1 NJ/99-vac H G M N T K D Q S N A N D T T T N D T D M N S N V R P A Q Q G
SD/96-vac H G M S T K D Q D N A N D T A T N D T D V N S N V R P A Q Q G
GD/94-vac H G M S T K D Q S N A N D T A T N D T D V N S N V R P A Q Q G
F/98-vac H G M S T K D Q N N A N D T A T N D T D M N S N V R P A Q Q G
Cluster 2 A2093 H G L S T K D Q N N A N D T V T N D A E L K R S T K S S L Q G
441 H G L S T K D Q N N A N D T V T N D A E L K R N T K S S L Q G
2106 H G L S T K D Q N N A N E T A T N D A E L K R S T K S S L Q G
B469 R E V S T K D Q N N N N D T A T N D A D L K S N T R P A L Q G
B445 H G L S T K D Q N N A N D T A T N D A E L K R S T K S S L Q G
F1650 H G L S T K D Q N N A N E T V T N D A E L K R S T K S S L M G
G755 N G L S T K D Q N N A N E T V T N D A E L K R S T K S S L M G
H97 N G L S T K D Q N N A N E T A T N D A E L K R S T K S S L M G
H1258 H G L S T K D Q N N A N D T V T N D A E L K R S T K S S L M G
H1301 H G L S T K D Q N N A N D T A T N D A E L K R S T K S S L M G
D1021 H G L S T K D Q D N A N D T V T N D A E L K R S T K S S L M G
Cluster 3 D2641 Q E L N T T G R N G D N D T T R D D A E L K R S T K S S L M G
D345 Q E L D T T G R N G D N D T T R N D A E L K R S T K S S L M G
E2290 Q E L D T T G R N G N N D T T R D D A E L K R S T K S S L M G
E552 Q E L D T T G R N G D N D D T R N D A E L K R S T K S S L M G
F2170 Q E L D T T G R N G D N D T T R N D A E L K R S T K S S L M G
G378 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
G705 Q E L D T T G R N G E N D T T R D D A E L K R S T K S S L M G
G1451 Q E L D T T G R N G N N D D T R N D A E L K R S T K S S L M G
G1586 Q E L D T T G R N G E N D V T R G D A E L K R S T K S S L M G
G1728 Q E L D T T G R D G N N D D T R N D A E L K R S T K S S L M G
G1921 Q E L D T T G R D G N N D T T R G D A E L K R S T K S S L M G
H224 Q E L D T T G R D G N N D D T R N D A E L K R S T K S S L M G
H514 Q E L D T T G R D G N N D D T R S D A E L K R S T K S S L M G
H1114 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
H1517 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
I25 Q E L D T N G R D G N N D T T R N D A E L K R S T K S S L M G
I69 Q E L D T N G R N G N N D D T R N D A E L K R S T K S S L M G
I84 Q E L D T T G R N G E N D E T R R D A E L K R S T K S S L M G
I97 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
I112 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
I256 Q E L D T T G R N G E N D D T R G D A E L K R S T K S S L M G
a

RBS, receptor binding site.

b

The whole length of amino acid sequence of HA protein.

c

Key locations identified in this research where mutations contribute to the antigenic distance between clusters 1 and 2.

d

Locations holding mutations that contribute to the antigenic distance between vaccine strains and isolates and potential location under selection from vaccines.

e

The HA1 protein sequence without 10 resudies at the beginning of HA protein.

FIG 4.

FIG 4

The mutated amino acid residues on the HA1 protein (H9 protein structure). The model was built based on the template A/swine/Hong Kong/9/98, and the modeled strain was A/chicken/Fuzhou/I69/2018. (a) Potential residues in HA contributing to the antigen change between vaccine strains (subgroup I) and circulating strains (subgroups II and III). Residues (in red) (M96L, T205A, D208E, Q226L, N273K, S274R, N275S, V276T, R285K, P306S, and A325S in H3 numbering) are different from the vaccine group (cluster 1) to cluster 2 and 3 (circulating strains in subgroup II and III). (b) Potential residues in HA contributing to the antigen change between subgroup II and subgroup III. Residues (in yellow) (N/H57Q, G81E, S/N133D, K137T, D145G, Q156G, N159G, A160D/N/E, V/A190T, and T192R in H3 numbering) differ between cluster 2 and cluster 3.

Investigation of the key amino acids characterizing antigenic properties of strains in cluster 2 showed 10 mutated amino acid residues in the HA protein between cluster 2 viruses and cluster 3 viruses, including N/H57Q, G81E, S/N133D, K137T, D145G, Q156G, N159G, A160D/N/E, V/A190T, and T192R (Table 2; Fig. 4b). In a subsequent analysis, G81E, 137K, 145D, 156Q, 159N, A160D/N/E, and T192R were conserved in both cluster 1 and cluster 2 viruses but mutated in the cluster 3 viruses. These results indicate that these seven amino residues may be important for the antigenic property of cluster 3 viruses and influence the protective efficacy of the inactivated H9N2 AIV vaccine.

Evolution of the potential antigenic-related amino acid residues.

To gain information on the evolution of potential antigenic amino acid residues on HA from H9N2 over time in nature, we analyzed HA proteins of H9N2 isolates and other viruses submitted to NCBI. Of the 11 potential antigenic amino acids characteristic of cluster 1, 10 were dominant patterns in China, including M96L, T205A, D208E, Q226L, N273K, N275R, V276T, R285K, P306S, and A325S in HA protein (H3 numbering). Currently, S274R is the predominant amino acid for H9N2 HA, mixed with some S274 (Fig. 5). Moreover, all mutations contributing to the antigenic change from cluster 1 to cluster 2 were equally distributed for the natural H9N2 AIVs, including N/H57Q, G81E, S/N133D, K137T, D145G, Q156G, N159G, A160D/N/E, V/A190T, and T192R (Fig. 6).

FIG 5.

FIG 5

Real-time dynamics of 11 potential antigenic-related amino acid residues comparing vaccine strains (subgroup I) and current isolated strains (subgroups II and III). The locations are numbered following the H9 numbering commencing from the start of the ORF. Phylogenic trees are colored by HA amino acid positions of interest. Legends at the top left display the respective HA sites of the H9N2 strains globally. Regions are marked at the node of clades. Data and the analysis are from Nextstrain (58). Shown are 1,092 of 1,332 genomes sampled between January 1976 and June 2019. The data were filtered to avian (1,270) from Africa (115), China (358), Europe (55), South Asia (126), Southeast Asia (93), and West Asia (395).

FIG 6.

FIG 6

Real-time dynamics of 10 potential antigenic-related amino acid residues comparing cluster 2 (subgroup II) and cluster 3 (subgroup III). The locations are numbered following H9 numbering starting from the start of the ORF. Phylogenic trees are colored by amino acid positions of interest on HA. Legends at the top left display the respective HA sites of the H9N2 strains globally. Regions are marked at the node of clades. Data and the analysis are from Nextstrain (58). Shown are 1,092 of 1,332 genomes sampled between January 1976 and June 2019. The data were filtered to avian (1,270) from Africa (115), China (358), Europe (55), South Asia (126), Southeast Asia (93), and West Asia (395).

DISCUSSION

The H9N2 virus is a predominant subtype of AIV circulating in Asia and other countries all over the world (2933). H9N2 viruses not only cause large economic losses in poultry but also provide internal genes for novel subtype influenza viruses, such as H7N9, H10N8, and H5N1, that threaten human health (26, 34). Live poultry markets (LPMs) are considered key public place of the transmission and circulation of influenza viruses in poultry or from poultry to humans (3537).

Our surveys of LPMs conducted in China from 2013 to 2018 demonstrate that H9N2 AIVs are still prevalent, as described previously (28). An increasing trend of annual isolation rate was observed in poultry markets from 2013 to 2015 and reduced from 2015 to 2018. Of note, the total sampling number in surveillance fluctuated annually. Small sampling numbers (samples from Shanghai in 2015 and samples from Fujian; Table 1) and a biased sampling (e.g., samples from Shandong in 2015 and samples from Shanghai in 2016 were from sick poultry; Table 1) increased the margin of error in the estimation of annual isolation rate of H9N2 in Southern China. In a previous survey, a fluctuating annual isolation rate of H9N2 avian influenza virus was observed in 2013 (14.2%) and 2014 (11.9%) compared to in 2009 (15.18%) and 2012 (8.20%) (28). The common reduced annual isolation rate of H9N2 AIV in China detected in surveillance was also influenced by national or local policy on LPMs. The sale of live poultry in LPMs was prohibited in China in 2013 and 2014 due to the outbreak of H7N9 in humans in 2013 (38). This prohibition largely reduced the isolation rate of all AIVs in LPMs in Southern China. However, the H9N2 AIV was still the predominant subtype LPAIV circulating in poultry in Southern China. Based on our analysis, the overall isolation rate of H9N2 was about 70% in total AIV-positive samples in Southern China between 2013 and 2018. Together with the continuous outbreaks in domestic poultry in other countries (4, 39, 40), follow-up monitoring and control of H9N2 AIV are necessary even after prolonged marketing prohibitions and vaccination programs.

Together with the high isolation rate and long-term endemic circulation, H9N2 AIVs in mainland China are undergoing a rapid antigenic drift. The hypothesis that vaccination triggered rapid evolution leading to antigenic drift was reported in Korea only 4 years after the national vaccination program was applied in poultry in 2007 (22). Similarly, this antigenic drift on H9 HA was identified from H9N2 viruses isolated from chickens and reported in many studies (41, 42). These studies called for caution regarding immunization failure resulting from antigenic drift and explained the prevalence of H9N2 AIV. However, it remained unclear how and how rapidly the antigenic changes on the HA gene of H9N2 strains from the market occurred. To analyze this, we combined phylogenetic and antigenic analyses based on the current genetic data.

Phylogenic analysis of 113 H9N2 strains isolated from LPMs in Southern China from 2013 to 2018 provided sufficient circulating and evolutionary information of H9N2 in local poultry. Consistent with previous studies indicating G9 (A/chicken/Hong Kong/G9/1997) lineage (h9.4.2) (43) as the dominant H9N2 in mainland China, the latest isolates were also G9 lineage but far from the original representative strains BJ94 (A/chicken/Beijing/1/1994) and Y280 (A/duck/Hong Kong/Y280/97) and the vaccine strains in the 1990s (14, 44). In addition, the most recent isolated strains antigenically evolved into a new group from 2013. Phylogenetic analysis showed that the estimated time for the emergence of the new antigenic cluster was between 2010 and 2011. This bias may be due to the lack of precise time data from isolated strains and the small sampling of virus strains selected in the antigenic assay. However, a rapid and clear subdivision of the isolated H9N2 strains (belonging to subgroup II in current G9 lineage) matched the two new antigenic groupings. This guaranteed the confidence interval when we estimated the substitution rate of H9N2 strains in a new antigenic group (cluster 2). Without considering the antigenic difference, the average substitution rate of the HA gene from H9N2 AIV in poultry in China was estimated as 3.95 × 10−3 substitutions/site/year. This substitution rate increased almost 1.5-fold (6.23 × 10−3 substitutions/site/year) when antigenic differences were involved.

Of note is that this is the first time the substitution rate of H9 HA (open reading frame [ORF] region) using the sequences from the influenza database has been estimated. These rates are similar to the estimations using the same method for H3 (HA1 domain) in humans (5.7 × 10−3 substitutions/site/year) (45). For better comparison, the mean H9 substitution rate (HA1 domain) of antigenic cluster 2 was 7.43 × 10−3 substitutions/site/year, still slightly higher than the H3 viruses circulating in humans. This indicated that H9N2 AIV underwent changes in evolution rate, with rates faster than those from human seasonal strains. This may be due to inefficiencies in vaccination and high living density of chickens that contributed to more transmission into new hosts. However, more research is needed to better understand the reasons triggering the substitution rate in addition to selection pressure resulting from vaccination.

We found 21 amino acid mutations on H9 antigenic sites (in region 66 to 334 on the H9 protein sequence) specific to strains in antigenic cluster 2, different from those in cluster 1 as well as three vaccine strains. Referring to the global online database of AIV H9N2 in Nextstrain, all these mutations evolved after 2013 and became dominant in Southern China. This explains why the isolation ratios in LPMs from 2013 to 2018 did not decrease even though vaccines had been used long term in poultry, with reports that the H9N2 virus continues to circulate in vaccinated chickens (26, 46).

Structural analyses of the HA1 protein to predict key potential antigenic sites dominating the subgroup of current H9N2 isolates from field markets in Southern China were performed. The four surface locations (145, 168, 198, and 235) at the top of the HA head also show high entropy in real-time tracing (47). This indicates high diversity of these four locations. Overall, mutations at these potential antigenic sites occurred in China (mainly) and in Southern Asia, whereas in China, new genotypes G57 showed the tendency to become dominant. In detail, D145 started to appear in China and South Asia in as early as 2003. Mutations at 198 and 235 emerged and became dominant in China after 2012. To date, location 168 was more diverse with mutations from alanine to other amino acids after 2005. The L226 site (234 in H9 numbering), identified as an important host-receptor binding site (48), had been the stable dominant form on HA of the H9N2 AIV circulating in China. However, at location 235, we identified that the change from glutamine to methionine occurred in 2013, which was consistent with the online data of the H9N2 AIV all over China; however, Q235 was the stable dominant form in the European area where no H9N2 vaccine had been applied. The amino acids of the surface locations were conserved in Europe but became dominant in China after 2013. However, there may be data bias given that many European countries did not monitor LPAI H9N2 in poultry.

In summary, our study shows that the currently circulating H9N2 viruses form a new antigenic group to those from vaccine strains and are also clearly divided into new subgroups in phylogenic trees. The declining diversity together with the high substitution rate of H9N2 strains in the new antigenic group suggest that vaccination triggers the evolution of H9N2 into new antigenic groups. Our study provides a baseline reference for evolutionary studies of H9N2 viruses and vaccination strategies in poultry.

MATERIALS AND METHODS

Ethics statement.

All animal experiments were conducted in accordance with the recommendations of the Guide for the Care and Use of Laboratory Animals of the Ministry of Science and Technology of the People’s Republic of China and the Netherlands. The protocols (SHVRI-SZ-20190730-01 and SHVRI-SZ-20190906-02) used in the study were approved by the Animal Care and Use Committee of Shanghai Veterinary Research Institute (SHVRI).

Sample collection and virus isolation.

Between 2013 and 2018, a total of 13,981 oropharyngeal swabs and cloaca swabs were collected from chickens, ducks, geese, and pigeons in local markets from nine provinces in China (Guangzhou, Fujian, Jiangxi, Zhejiang, Shanghai, Anhui, Jiangsu, Shandong, and Hunan). Swab samples were inoculated in the allantoic cavity of 10-day-old specific-pathogen-free (SPF) chicken egg embryos. The harvested allantoic fluids were tested by hemagglutination assay. Total viral RNAs of HA-positive allantoic fluids were extracted to detect influenza viruses by amplifying the M gene by PCR. The primers used for this detection were 5′-TTCTAACCGAGGTCGAAAC-3′ (M-229U) and 5′-AAGCGTCTACGCTGCAGTCC-3′ (M-229L). Hemagglutination inhibition (HI) assays were then used as antiserums specific for H9 subtype influenza viruses.

Phylogenic analysis, substitution rate, and gene diversity of the HA gene.

The viral RNA was extracted, and reverse transcription was performed with the Uni12 primer as previously described (49, 50). Complete HA sequences of H9N2 isolated strains were edited using EditSeq in Lasergene 7.0. The full-length nucleotide sequences of HA genes of H9N2 strains collected from 2013 to 2018 in China were submitted to the Global Initiative on Sharing Avian Influenza Data (GISAID) and GenBank database (Table S1 in the supplemental material). Based on previous research (28), representative strains of H9N2 in China and from other Asian and American countries were selected for a neighbor-joining (NJ) tree using MEGAx. The TN93 (Tamura-Nei, 93) +G (0.39) model was used with 1,000 bootstraps.

To generate a time scale tree of the whole lineage containing the H9N2 strains isolated from this lab (51), we included all G9 lineage strains from the Yang et al. data set (14) plus a few additional representatives for the lineage indications from mainland China. The exact date information was adjusted. Before running the time-measured phylogenetic analysis, the clock-likeness of the HA sequence data set was analyzed with TempEst (52). Six outliers (FJ190132, EPI_ISL_260531, AF156378, CY005632, EPI_ISL_146723, and KF188265) were identified and removed from the data set. We then constructed time-scaled phylogenies using a Bayesian Markov chain Monte Carlo (MCMC) framework implemented in BEAST (v1.10.2) (53). Analysis was conducted by using the SRD06 nucleotide substitution model, the Bayesian Skyride coalescent model, and an uncorrelated log normal relaxed molecular clock. Four independent MCMC runs of 1 × 108 states sampling each 1 × 104 steps were performed to obtain an effective sample size of >200. Maximum clade credibility trees were reconstructed with 10% burn-in, and the posterior distribution of relevant parameters was assessed in FigTree version 1.4.4. The Skyride plot was generated in Tracer with an estimation for the mean substitution rate (substitutions/site/year).

Antigenic assay.

According to the phylogenetic tree of the HA gene, 27 H9N2 viruses were selected from the isolated strains from 2013 to 2018; six stored virus strains from previous research (A/chicken/Hunan/B445/2011, A/chicken/Shanghai/B469/2011, A/chicken/Jiangsu/A2093/2011, A/chicken/Shanghai/441/2009, A/chicken/Hunan/2106/2009, and A/chicken/Shanghai/F/1998) were selected for the antigenic analysis. Briefly, specific antisera with inactivated virus isolates were produced in SPF Leghorn chickens with adjuvant Montanide ISA 71VG (SEPPIC). Four-week-old SPF Leghorn chickens were vaccinated with a total of 1.5 mL by intramuscular injection. After 3 weeks, sera were collected from vaccinated chickens. The hemagglutination inhibition (HI) assay was conducted to test cross-reactivity between virus and antisera as described previously by the World Organization for Animal Health (OIE) (54). First, the sera of each virus strain were diluted 2-fold with phosphate-buffered saline (PBS) on a v-type microreaction plate. Then, allantoic fluid diluted to 4 U antigen per 25 μL was added to each well. After 30 min at room temperature, 25 μL of 0.5% red blood cells was added to each well. The results were determined after a 25- to 30-min reaction. Each HI value was calculated (Table S2). This HI assay data set was used to calculate antigenic distances between the different H9N2 isolates by using the method described previously (55) in R studio (Data S1). A scatter plot of all the H9N2 isolates with their distances to the vaccine strain (F98) (Data S2) was programmed in R studio (Data S1).

Molecular evolution analysis.

To investigate the amino acid mutations that played an important role in the appearance of a new antigenic cluster, the HA protein sequences of selected 2013 to 2018 H9N2 isolated viruses and six previous H9N2 viruses were aligned and compared. Based on the new clustering in the antigenic assay, we searched for specific molecular changes on the amino acid sequences that were different between the antigenic clusters. To achieve the three-dimensional (3D) position of the identified molecular changes on the sites of the HA protein, the HA1 structure of H9 was simulated. A/swine/Hong Kong/9/98 (H9N2) (1JSD) (56) was used as the template with a sequence identity of 86.21. The HA structure model was built with 0.96GMQE (global model quality estimation) and 0.23QMEAN (57).

We then studied the real-time dynamic changing of these potential antigenic sites by generating a phylogenetic tree of the HA protein at every site on one practical online database (https://nextstrain.org) (58). To zoom in on the evolutionary situation in China, we filtered the H9N2 sequence data from avian influenza in China from 1968 to 2020. We selected and colored the interesting potential antigenic sites on the HA protein so that the distribution and diversity of the amino acids at that site would display in a time scale tree. Thus, the molecular evolution of one amino acid site located on the HA protein was traced based on real-time H9N2 data all over China.

Data availability.

All the nucleotide sequences of HA and NA genes from H9N2 isolated in Southern China from 2013 to 2018 were submitted in the GISAID database (https://platform.gisaid.org/epi3/cfrontend#80368) with isolate IDs from EPI_ISL_462482 to EPI_ISL_462520. These HA sequences were submitted to the GenBank database (OK563122 to OK563235).

The G9 lineage strains recovered from the data set in reference 14 are available in the GenBank Influenza Virus Database (http://www.ncbi.nlm.nih.gov/genomes/FLU/FLU.html) hosted by NCBI. Details are at https://doi.org/10.1371/journal.pcbi.1007189.s012 (14).

Data and analysis from Nextstrain (https://nextstrain.org/flu/avian/h9n2/ha) consisted of 1,092 of 1,332 genomes sampled between January 1976 and June 2019. The data used in this research were filtered to avian (1,270) from Africa (115), China (358), Europe (55), South Asia (126), Southeast Asia (93), and West Asia (395).

ACKNOWLEDGMENTS

We thank the GISAID Initiative and the GISRS Network for critical surveillance efforts and open data sharing. Sequence data and virus strains used in the antigenic analysis were provided by Z.L.’s lab group at the Shanghai Veterinary Research Institute (SHVRI), China.

H.C. is enrolled in the Wageningen Institute of Animal Sciences (WIAS) graduate school and the Production Ecology and Resource Conservation (PE&RC) as part of the 2016 Sino-Dutch joint PhD program between the Chinese Academy of Agricultural Sciences (CAAS) and Wageningen University & Research.

This work was supported by the National Key Research and Development Program of China (2016YFD0500204) and the Chinese Academy of Agricultural Sciences of Technology Innovation Project.

Footnotes

Supplemental material is available online only.

SUPPLEMENTAL FILE 1
Supplemental material. Download SPECTRUM00822-21_Supp_1_seq11.pdf, PDF file, 0.7 MB (747.3KB, pdf)

Contributor Information

Qiaoyang Teng, Email: tengqy@shvri.ac.cn.

Zejun Li, Email: lizejun@shvri.ac.cn.

Gabriel I. Parra, US Food and Drug Administration

REFERENCES

  • 1.Alexander DJ. 2000. A review of avian influenza in different bird species. Vet Microbiol 74:3–13. doi: 10.1016/s0378-1135(00)00160-7. [DOI] [PubMed] [Google Scholar]
  • 2.Perez DR, Lim W, Seiler JP, Yi G, Peiris M, Shortridge KF, Webster RG. 2003. Role of quail in the interspecies transmission of H9 influenza A viruses: molecular changes on HA that correspond to adaptation from ducks to chickens. J Virol 77:3148–3156. doi: 10.1128/jvi.77.5.3148-3156.2003. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Homme P, Easterday B. 1970. Avian influenza virus infections. I. Characteristics of influenza A/turkey/Wisconsin/1966 virus. Avian Dis 14:66–74. doi: 10.2307/1588557. [DOI] [PubMed] [Google Scholar]
  • 4.Peacock TTP, James J, Sealy JE, Iqbal M. 2019. A global perspective on H9N2 avian influenza virus. Viruses 11:620. doi: 10.3390/v11070620. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Butt KM, Smith GJD, Chen H, Zhang LJ, Leung YHC, Xu KM, Lim W, Webster RG, Yuen KY, Peiris JSM, Guan Y. 2005. Human infection with an avian H9N2 influenza A virus in Hong Kong in 2003. J Clin Microbiol 43:5760–5767. doi: 10.1128/JCM.43.11.5760-5767.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Huang Y, Li X, Zhang H, Chen B, Jiang Y, Yang L, Zhu W, Hu S, Zhou S, Tang Y, Xiang X, Li F, Li W, Gao L. 2015. Human infection with an avian influenza A (H9N2) virus in the middle region of China. J Med Virol 87:1641–1648. doi: 10.1002/jmv.24231. [DOI] [PubMed] [Google Scholar]
  • 7.Pan Y, Cui S, Sun Y, Zhang X, Ma C, Shi W, Peng X, Lu G, Zhang D, Liu Y, Wu S, Yang P, Wang Q. 2018. Human infection with H9N2 avian influenza in northern China. Clin Microbiol Infect 24:321–323. doi: 10.1016/j.cmi.2017.10.026. [DOI] [PubMed] [Google Scholar]
  • 8.Wan X-F, Dong L, Lan Y, Long L-P, Xu C, Zou S, Li Z, Wen L, Cai Z, Wang W, Li X, Yuan F, Sui H, Zhang Y, Dong J, Sun S, Gao Y, Wang M, Bai T, Yang L, Li D, Yang W, Yu H, Wang S, Feng Z, Wang Y, Guo Y, Webby RJ, Shu Y. 2011. Indications that live poultry markets are a major source of human H5N1 influenza virus infection in China. J Virol 85:13432–13438. doi: 10.1128/JVI.05266-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Liu M, He S, Walker D, Zhou N, Perez DR, Mo B, Li F, Huang X, Webster RG, Webby RJ. 2003. The influenza virus gene pool in a poultry market in south central China. Virology 305:267–275. doi: 10.1006/viro.2002.1762. [DOI] [PubMed] [Google Scholar]
  • 10.Nguyen DC, Uyeki TM, Jadhao S, Maines T, Shaw M, Matsuoka Y, Smith C, Rowe T, Lu X, Hall H, Xu X, Balish A, Klimov A, Tumpey TM, Swayne DE, Huynh LPT, Nghiem HK, Nguyen HHT, Hoang LT, Cox NJ, Katz JM. 2005. Isolation and characterization of avian influenza viruses, including highly pathogenic H5N1, from poultry in live bird markets in Hanoi, Vietnam, in 2001. J Virol 79:4201–4212. doi: 10.1128/JVI.79.7.4201-4212.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Lu J-H, Liu X-F, Shao W-X, Liu Y-L, Wei D-P, Liu H-Q. 2005. Phylogenetic analysis of eight genes of H9N2 subtype influenza virus: a mainland China strain possessing early isolates’ genes that have been circulating. Virus Genes 31:163–169. doi: 10.1007/s11262-005-1790-1. [DOI] [PubMed] [Google Scholar]
  • 12.Guo Y, Krauss S, Senne D, Mo I, Lo K, Xiong X, Norwood M, Shortridge K, Webster R, Guan Y. 2000. Characterization of the pathogenicity of members of the newly established H9N2 influenza virus lineages in Asia. Virology 267:279–288. doi: 10.1006/viro.1999.0115. [DOI] [PubMed] [Google Scholar]
  • 13.Li S, Li X, Zhong S, Sun H, Pan J, Chen S, Peng D, Liu X. 2012. Genome sequencing and phylogenetic analysis of avian influenza viruses subtype H9N2. Bing Du Xue Bao 28:7–14. [PubMed] [Google Scholar]
  • 14.Yang J, Müller NF, Bouckaert R, Xu B, Drummond AJ. 2019. Bayesian phylodynamics of avian influenza A virus H9N2 in Asia with time-dependent predictors of migration. PLoS Comput Biol 15:e1007189. doi: 10.1371/journal.pcbi.1007189. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Choi JG, Lee YJ, Kim YJ, Lee EK, Jeong OM, Sung HW, Kim JH, Kwon JH. 2008. An inactivated vaccine to control the current H9N2 low pathogenic avian influenza in Korea. J Vet Sci 9:67–74. doi: 10.4142/jvs.2008.9.1.67. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Zhang P, Tang Y, Liu X, Peng D, Liu W, Liu H, Lu S, Liu X. 2008. Characterization of H9N2 influenza viruses isolated from vaccinated flocks in an integrated broiler chicken operation in eastern China during a 5 year period (1998–2002). J Gen Virol 89:3102–3112. doi: 10.1099/vir.0.2008/005652-0. [DOI] [PubMed] [Google Scholar]
  • 17.Dharmayanti NLPI, Indriani R, Nurjanah D. 2020. Vaccine efficacy on the novel reassortant H9N2 virus in Indonesia. Vaccines 8:449. doi: 10.3390/vaccines8030449. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Gu M, Xu L, Wang X, Liu X. 2017. Current situation of H9N2 subtype avian influenza in China. Vet Res 48:49. doi: 10.1186/s13567-017-0453-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Li C, Yu K, Tian G, Yu D, Liu L, Jing B, Ping J, Chen H. 2005. Evolution of H9N2 influenza viruses from domestic poultry in Mainland China. Virology 340:70–83. doi: 10.1016/j.virol.2005.06.025. [DOI] [PubMed] [Google Scholar]
  • 20.Lee D-H, Song C-S. 2013. H9N2 avian influenza virus in Korea: evolution and vaccination. Clin Exp Vaccine Res 2:26–33. doi: 10.7774/cevr.2013.2.1.26. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Lee C-W, Senne DA, Suarez DL. 2004. Effect of vaccine use in the evolution of Mexican lineage H5N2 avian influenza virus. J Virol 78:8372–8381. doi: 10.1128/JVI.78.15.8372-8381.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Park KJ, Kwon H-I, Song M-S, Pascua PNQ, Baek YH, Lee JH, Jang H-L, Lim J-Y, Mo I-P, Moon H-J, Kim C-J, Choi YK. 2011. Rapid evolution of low-pathogenic H9N2 avian influenza viruses following poultry vaccination programmes. J Gen Virol 92:36–50. doi: 10.1099/vir.0.024992-0. [DOI] [PubMed] [Google Scholar]
  • 23.Lu J, Liu X, Shao W, Zhang P, Wei D. 2003. Genetic characterization of the entire genome of an H9N2 avian influenza virus A/Chicken/Shanghai/F/98. Wei Sheng Wu Xue Bao 43:434–441. [PubMed] [Google Scholar]
  • 24.Shi H, Lu J, Chen S, Sun L, Liu X. 2005. Generation of A/Chicken/Shanghai/F/98 (H9N2) Avian influenza virus from eight plasmids. Wei Sheng Wu Xue Bao 45:373–376. [PubMed] [Google Scholar]
  • 25.Cui H, de Jong MC, Beerens N, van Oers MM, Teng Q, Li L, Li X, Liu Q, Li Z. 2021. Vaccination with inactivated virus against low pathogenic avian influenza subtype H9N2 does not prevent virus transmission in chickens. J Virus Erad 7:100055. doi: 10.1016/j.jve.2021.100055. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Pu J, Wang S, Yin Y, Zhang G, Carter RA, Wang J, Xu G, Sun H, Wang M, Wen C, Wei Y, Wang D, Zhu B, Lemmon G, Jiao Y, Duan S, Wang Q, Du Q, Sun M, Bao J, Sun Y, Zhao J, Zhang H, Wu G, Liu J, Webster RG. 2015. Evolution of the H9N2 influenza genotype that facilitated the genesis of the novel H7N9 virus. Proc Natl Acad Sci USA 112:548–553. doi: 10.1073/pnas.1422456112. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Sun YP, Pu JA, Jiang ZL, Guan T, Xia YJ, Xu Q, Liu LQ, Ma B, Tian FL, Brown EG, Liu JH. 2010. Genotypic evolution and antigenic drift of H9N2 influenza viruses in China from 1994 to 2008. Vet Microbiol 146:215–225. doi: 10.1016/j.vetmic.2010.05.010. [DOI] [PubMed] [Google Scholar]
  • 28.Teng Q, Xu D, Shen W, Liu Q, Rong G, Li X, Yan L, Yang J, Chen H, Yu H, Ma W, Li Z. 2016. A single mutation at position 190 in hemagglutinin enhances binding affinity for human type sialic acid receptor and replication of H9N2 avian influenza virus in mice. J Virol 90:9806–9825. doi: 10.1128/JVI.01141-16. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Naeem K, Siddique N, Ayaz M, Jalalee M. 2007. Avian influenza in Pakistan: outbreaks of low-and high-pathogenicity avian influenza in Pakistan during 2003–2006. Avian Dis 51:189–193. doi: 10.1637/7617-042506R.1. [DOI] [PubMed] [Google Scholar]
  • 30.Kim K-I, Choi J-G, Kang H-M, To TL, Nguyen TD, Song B-M, Hong M-S, Choi K-S, Kye S-J, Kim J-Y, Lee H-S, Lee Y-J. 2013. Geographical distribution of low pathogenic avian influenza viruses of domestic poultry in Vietnam and their genetic relevance with Asian isolates. Poult Sci 92:2012–2023. doi: 10.3382/ps.2013-03105. [DOI] [PubMed] [Google Scholar]
  • 31.Kim JA, Cho SH, Kim HS, Seo SH. 2006. H9N2 influenza viruses isolated from poultry in Korean live bird markets continuously evolve and cause the severe clinical signs in layers. Vet Microbiol 118:169–176. doi: 10.1016/j.vetmic.2006.07.007. [DOI] [PubMed] [Google Scholar]
  • 32.Lin TN, Nonthabenjawan N, Chaiyawong S, Bunpapong N, Boonyapisitsopa S, Janetanakit T, Mon PP, Mon HH, Oo KN, Oo SM, Mar Win M, Amonsin A. 2017. Influenza A (H9N2) virus, Myanmar, 2014–2015. Emerg Infect Dis 23:1041–1043. doi: 10.3201/eid2306.161902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Jonas M, Sahesti A, Murwijati T, Lestariningsih CL, Irine I, Ayesda CS, Prihartini W, Mahardika GN. 2018. Identification of avian influenza virus subtype H9N2 in chicken farms in Indonesia. Prev Vet Med 159:99–105. doi: 10.1016/j.prevetmed.2018.09.003. [DOI] [PubMed] [Google Scholar]
  • 34.Li X, Shi J, Guo J, Deng G, Zhang Q, Wang J, He X, Wang K, Chen J, Li Y, Fan J, Kong H, Gu C, Guan Y, Suzuki Y, Kawaoka Y, Liu L, Jiang Y, Tian G, Li Y, Bu Z, Chen H. 2014. Genetics, receptor binding property, and transmissibility in mammals of naturally isolated H9N2 avian influenza viruses. PLoS Pathog 10:e1004508. doi: 10.1371/journal.ppat.1004508. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Wang W, Artois J, Wang X, Kucharski AJ, Pei Y, Tong X, Virlogeux V, Wu P, Cowling BJ, Gilbert M, Yu H. 2020. Effectiveness of live poultry market interventions on human infection with avian influenza A (H7N9) virus, China. Emerg Infect Dis 26:891–901. doi: 10.3201/eid2605.190390. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Ma M-J, Zhao T, Chen S-H, Xia X, Yang X-X, Wang G-L, Fang L-Q, Ma G-Y, Wu M-N, Qian Y-H, Dean NE, Yang Y, Lu B, Cao W-C. 2018. Avian influenza A virus infection among workers at live poultry markets, China, 2013–2016. Emerg Infect Dis 24:1246–1256. doi: 10.3201/eid2407.172059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Liu M, Li X, Yuan H, Zhou J, Wu J, Bo H, Xia W, Xiong Y, Yang L, Gao R, Guo J, Huang W, Zhang Y, Zhao X, Zou X, Chen T, Wang D, Li Q, Wang SWen, Chen S, Hu M, Ni X, Gong T, Shi Y, Li J, Zhou J, Cai J, Xiao Z, Zhang W, Sun J, Li D, Wu G, Feng Z, Wang Y, Chen H, Shu Y. 2015. Genetic diversity of avian influenza A (H10N8) virus in live poultry markets and its association with human infections in China. Sci Rep 5:7632. doi: 10.1038/srep07632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Wu P, Jiang H, Wu JT, Chen E, He J, Zhou H, Wei L, Yang J, Yang B, Qin Y, Fang VJ, Li M, Tsang TK, Zheng J, Lau EHY, Cao Y, Chai C, Zhong H, Li Z, Leung GM, Feng L, Gao GF, Cowling BJ, Yu H. 2014. Poultry market closures and human infection with influenza A (H7N9) virus, China, 2013–14. Emerg Infect Dis 20:1891–1894. doi: 10.3201/eid2011.140556. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Jeevan T, Darnell D, Gradi EA, Benali Y, Kara R, Guetarni D, Rubrum A, Seiler PJ, Crumpton JC, Webby RJ, Derrar F. 2019. A (H9N2) influenza viruses associated with chicken mortality in outbreaks in Algeria 2017. Influenza Other Respir Viruses 13:622–626. doi: 10.1111/irv.12675. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Banet-Noach C, Perk S, Simanov L, Grebenyuk N, Rozenblut E, Pokamunski S, Pirak M, Tendler Y, Panshin A. 2007. H9N2 influenza viruses from Israeli poultry: a five-year outbreak. Avian Dis 51:290–296. doi: 10.1637/7590-040206R1.1. [DOI] [PubMed] [Google Scholar]
  • 41.Sun Y, Pu J, Fan L, Sun H, Wang J, Zhang Y, Liu L, Liu J. 2012. Evaluation of the protective efficacy of a commercial vaccine against different antigenic groups of H9N2 influenza viruses in chickens. Vet Microbiol 156:193–199. doi: 10.1016/j.vetmic.2011.10.003. [DOI] [PubMed] [Google Scholar]
  • 42.Okamatsu M, Sakoda Y, Kishida N, Isoda N, Kida H. 2008. Antigenic structure of the hemagglutinin of H9N2 influenza viruses. Arch Virol 153:2189–2195. doi: 10.1007/s00705-008-0243-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Jiang W, Liu S, Hou G, Li J, Zhuang Q, Wang S, Zhang P, Chen J. 2012. Chinese and global distribution of H9 subtype avian influenza viruses. PLoS One 7:e52671. doi: 10.1371/journal.pone.0052671. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Wu Z, Ji J, Zuo K, Xie Q, Li H, Liu J, Chen F, Xue C, Ma J, Bi Y. 2010. Cloning and phylogenetic analysis of hemagglutinin gene of H9N2 subtype avian influenza virus from different isolates in China during 2002 to 2009. Poult Sci 89:1136–1143. doi: 10.3382/ps.2010-00695. [DOI] [PubMed] [Google Scholar]
  • 45.Fitch WM, Bush RM, Bender CA, Cox NJ. 1997. Long term trends in the evolution of H(3) HA1 human influenza type A. Proc Natl Acad Sci USA 94:7712–7718. doi: 10.1073/pnas.94.15.7712. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Su S, Bi Y, Wong G, Gray GC, Gao GF, Li S. 2015. Epidemiology, evolution, and recent outbreaks of avian influenza virus in China. J Virol 89:8671–8676. doi: 10.1128/JVI.01034-15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47.Rhodes CJ, Demetrius L. 2010. Evolutionary entropy determines invasion success in emergent epidemics. PLoS One 5:e12951. doi: 10.1371/journal.pone.0012951. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Wan H, Perez DR. 2007. Amino acid 226 in the hemagglutinin of H9N2 influenza viruses determines cell tropism and replication in human airway epithelial cells. J Virol 81:5181–5191. doi: 10.1128/JVI.02827-06. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Beato MS, Xu Y, Long L-P, Capua I, Wan X-F. 2014. Antigenic and genetic evolution of low-pathogenicity avian influenza viruses of subtype H7N3 following heterologous vaccination. Clin Vaccine Immunol 21:603–612. doi: 10.1128/CVI.00647-13. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Hoffmann E, Stech J, Guan Y, Webster R, Perez D. 2001. Universal primer set for the full-length amplification of all influenza A viruses. Arch Virol 146:2275–2289. doi: 10.1007/s007050170002. [DOI] [PubMed] [Google Scholar]
  • 51.Zehender G, Pariani E, Piralla A, Lai A, Gabanelli E, Ranghiero A, Ebranati E, Amendola A, Campanini G, Rovida F, Ciccozzi M, Galli M, Baldanti F, Zanetti AR. 2012. Reconstruction of the evolutionary dynamics of the A (H1N1) pdm09 influenza virus in Italy during the pandemic and post-pandemic phases. PLoS One 7:e47517. doi: 10.1371/journal.pone.0047517. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 52.Rambaut A, Lam TT, Max Carvalho L, Pybus OG. 2016. Exploring the temporal structure of heterochronous sequences using TempEst (formerly Path-O-Gen). Virus Evol 2:vew007. doi: 10.1093/ve/vew007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Suchard MA, Lemey P, Baele G, Ayres DL, Drummond AJ, Rambaut A. 2018. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol 4:vey016. doi: 10.1093/ve/vey016. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Stear MJ. 2005. OIE manual of diagnostic tests and vaccines for terrestrial animals (mammals, birds and bees) 5th edn. Volumes 1 & 2. World Organization for Animal Health 2004. Parasitology 130:727. doi: 10.1017/S0031182005007699. [DOI] [Google Scholar]
  • 55.Sitaras I, Kalthoff D, Beer M, Peeters B, de Jong MC. 2014. Immune escape mutants of highly pathogenic avian influenza H5N1 selected using polyclonal sera: identification of key amino acids in the HA protein. PLoS One 9:e84628. doi: 10.1371/journal.pone.0084628. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Ha Y, Stevens DJ, Skehel JJ, Wiley DC. 2002. H5 avian and H9 swine influenza virus haemagglutinin structures: possible origin of influenza subtypes. EMBO J 21:865–875. doi: 10.1093/emboj/21.5.865. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Studer G, Rempfer C, Waterhouse AM, Gumienny R, Haas J, Schwede T. 2020. QMEANDisCo—distance constraints applied on model quality estimation. Bioinformatics 36:1765–1771. doi: 10.1093/bioinformatics/btz828. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Hadfield J, Megill C, Bell SM, Huddleston J, Potter B, Callender C, Sagulenko P, Bedford T, Neher RA. 2018. Nextstrain: real-time tracking of pathogen evolution. Bioinformatics 34:4121–4123. doi: 10.1093/bioinformatics/bty407. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

SUPPLEMENTAL FILE 1

Supplemental material. Download SPECTRUM00822-21_Supp_1_seq11.pdf, PDF file, 0.7 MB (747.3KB, pdf)

Data Availability Statement

All the nucleotide sequences of HA and NA genes from H9N2 isolated in Southern China from 2013 to 2018 were submitted in the GISAID database (https://platform.gisaid.org/epi3/cfrontend#80368) with isolate IDs from EPI_ISL_462482 to EPI_ISL_462520. These HA sequences were submitted to the GenBank database (OK563122 to OK563235).

The G9 lineage strains recovered from the data set in reference 14 are available in the GenBank Influenza Virus Database (http://www.ncbi.nlm.nih.gov/genomes/FLU/FLU.html) hosted by NCBI. Details are at https://doi.org/10.1371/journal.pcbi.1007189.s012 (14).

Data and analysis from Nextstrain (https://nextstrain.org/flu/avian/h9n2/ha) consisted of 1,092 of 1,332 genomes sampled between January 1976 and June 2019. The data used in this research were filtered to avian (1,270) from Africa (115), China (358), Europe (55), South Asia (126), Southeast Asia (93), and West Asia (395).


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