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This study aims to compare the molecular characteristics of avian influenza virus (AIV) subtype H9N2 from West Java. Methods Specific pathogen-free (SPF) embryonated chicken eggs were used to inoculate samples. RNA extraction and RT–qPCR confirmed the presence of H9 and N2 genes in the samples. RT–PCR was employed to amplify the H9N2-positive sample. Nucleotide sequences were obtained through Sanger sequencing and analyzed using MEGA 7. Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, assessed the recent isolate’s similarity to reference isolates from GenBank. Molecular docking analysis was performed on the HA1 protein of the recent isolate and the A/Layer/Indonesia/WestJava-04/2017 isolate, comparing their interactions with the sialic acids Neu5Ac2-3Gal and Neu5Ac2-6Gal. Results RT–qPCR confirmed the isolate samples as AIV subtype H9N2. The recent virus exhibited 11 amino acid residue differences compared to the A/Layer/Indonesia/WestJava-04/2017 isolate. Phylogenetically, the recent virus remains within the h9.4.2.5 subclade. Notably, at antigenic site II, the recent isolate featured an amino acid N at position 183, unlike A/Layer/Indonesia/WestJava-04/2017. Molecular docking analysis revealed a preference of HA1 from the 2017 virus for Neu5Ac2-3Gal, while the 2023 virus displayed a tendency to predominantly bind with Neu5Ac2-6Gal. Conclusion In summary, the recent isolate displayed multiple mutations and a strong affinity for Neu5Ac2-6Gal, commonly found in mammals. 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F1000Research 2025, 13 :571 ( https://doi.org/10.12688/f1000research.150975.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. Close Copy Citation Details Export Export Citation Sciwheel EndNote Ref. Manager Bibtex ProCite Sente EXPORT Select a format first Track Share ▬ ✚ Research Article Revised Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] Muhammad Ade Putra 1 , Amin Soebandrio https://orcid.org/0000-0002-5856-4808 2 , I Wayan Teguh Wibawan 3 , [...] Christian Marco Hadi Nugroho Nugroho https://orcid.org/0000-0002-1940-2777 4 , Ryan Septa Kurnia 4 , Otto Sahat Martua Silaen 4 , Rifky Rizkiantino https://orcid.org/0000-0003-0794-4146 5 , Agustin Indrawati 3 , Okti Nadia Poetri 3 , Desak Gede Budi Krisnamurti 6 Muhammad Ade Putra 1 , Amin Soebandrio https://orcid.org/0000-0002-5856-4808 2 , [...] I Wayan Teguh Wibawan 3 , Christian Marco Hadi Nugroho Nugroho https://orcid.org/0000-0002-1940-2777 4 , Ryan Septa Kurnia 4 , Otto Sahat Martua Silaen 4 , Rifky Rizkiantino https://orcid.org/0000-0003-0794-4146 5 , Agustin Indrawati 3 , Okti Nadia Poetri 3 , Desak Gede Budi Krisnamurti 6 PUBLISHED 05 Mar 2025 Author details Author details 1 Master of Animal Biomedical Sciences, School of Veterinary and Biomedical, IPB University, Bogor, West Java, 16680, Indonesia 2 Department of Microbiology, Faculty of Medicine, University of Indonesia, Jakarta, Jakarta, 10320, Indonesia 3 Division of Medical Microbiology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor, West Java, 16680, Indonesia 4 Animal Health Diagnostic Unit, PT. Medika Satwa Laboratoris, Bogor, West Java, 16166, Indonesia 5 Division of Central Laboratory and Disease Research Center, Technology and Research Development, Central Proteina Prima (CP Prima) Inc., Tangerang, Banten, 15560, Indonesia 6 Department of Medical Pharmacy, Faculty of Medicine, University of Indonesia, Jakarta, Jakarta, 10430, Indonesia Muhammad Ade Putra Roles: Conceptualization, Formal Analysis, Methodology, Project Administration, Supervision, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Amin Soebandrio Roles: Conceptualization, Investigation, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing I Wayan Teguh Wibawan Roles: Conceptualization, Investigation, Methodology, Validation Christian Marco Hadi Nugroho Nugroho Roles: Conceptualization, Data Curation, Formal Analysis, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Ryan Septa Kurnia Roles: Data Curation, Formal Analysis, Methodology, Resources, Supervision, Validation, Visualization Otto Sahat Martua Silaen Roles: Project Administration Rifky Rizkiantino Roles: Formal Analysis, Methodology, Resources, Software, Validation Agustin Indrawati Roles: Investigation, Methodology, Supervision, Validation, Writing – Original Draft Preparation Okti Nadia Poetri Roles: Conceptualization, Data Curation, Formal Analysis, Project Administration, Supervision, Writing – Original Draft Preparation, Writing – Review & Editing Desak Gede Budi Krisnamurti Roles: Conceptualization, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Supervision, Writing – Review & Editing OPEN PEER REVIEW DETAILS REVIEWER STATUS This article is included in the Emerging Diseases and Outbreaks gateway. Abstract Background Indonesia is one of the countries that is endemic to avian influenza virus subtype H9N2. This study aims to compare the molecular characteristics of avian influenza virus (AIV) subtype H9N2 from West Java. Methods Specific pathogen-free (SPF) embryonated chicken eggs were used to inoculate samples. RNA extraction and RT–qPCR confirmed the presence of H9 and N2 genes in the samples. RT–PCR was employed to amplify the H9N2-positive sample. Nucleotide sequences were obtained through Sanger sequencing and analyzed using MEGA 7. Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, assessed the recent isolate’s similarity to reference isolates from GenBank. Molecular docking analysis was performed on the HA1 protein of the recent isolate and the A/Layer/Indonesia/WestJava-04/2017 isolate, comparing their interactions with the sialic acids Neu5Ac2-3Gal and Neu5Ac2-6Gal. Results RT–qPCR confirmed the isolate samples as AIV subtype H9N2. The recent virus exhibited 11 amino acid residue differences compared to the A/Layer/Indonesia/WestJava-04/2017 isolate. Phylogenetically, the recent virus remains within the h9.4.2.5 subclade. Notably, at antigenic site II, the recent isolate featured an amino acid N at position 183, unlike A/Layer/Indonesia/WestJava-04/2017. Molecular docking analysis revealed a preference of HA1 from the 2017 virus for Neu5Ac2-3Gal, while the 2023 virus displayed a tendency to predominantly bind with Neu5Ac2-6Gal. Conclusion In summary, the recent isolate displayed multiple mutations and a strong affinity for Neu5Ac2-6Gal, commonly found in mammals. READ ALL READ LESS Keywords avian influenza, characterization, docking, H9N2, Indonesia, Mutation Corresponding Author(s) Okti Nadia Poetri ( [email protected] ) Desak Gede Budi Krisnamurti ( [email protected] ) Close Corresponding authors: Okti Nadia Poetri, Desak Gede Budi Krisnamurti Competing interests: No competing interests were disclosed. Grant information: This study was funded by Universitas Indonesia through a PUTI Grant with contract number NKB-366/UN2.RST/HKP.05.00/2023. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Copyright: © 2025 Putra MA et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. How to cite: Putra MA, Soebandrio A, Wibawan IWT et al. Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.12688/f1000research.150975.3 ) First published: 04 Jun 2024, 13 :571 ( https://doi.org/10.12688/f1000research.150975.1 ) Latest published: 05 Mar 2025, 13 :571 ( https://doi.org/10.12688/f1000research.150975.3 ) Revised Amendments from Version 2 In this latest version of the manuscript, there are no changes to the title. However, there are minor adjustments in the methods section, such as clarifying the criteria used to include other H9N2 strains in the phylogenetic analysis, in addition to the two isolates from the same farm in West Java. We have also clarified the method regarding the percentage of similarity between strains, as shown in Table 2. Figure 1 has been moved to the supplementary materials. The most significant changes have been made in the discussion section, which is now divided into three main focus areas: (1) both strains belong to the same clade, (2) specific amino acid mutations, particularly at antigenic sites, and (3) the reference strain for Neu5Ac2-6Gal in 2023. Additionally, we have expanded the discussion to include the potential roles of viral segments other than HA, as well as some limitations of this study. In this latest version of the manuscript, there are no changes to the title. However, there are minor adjustments in the methods section, such as clarifying the criteria used to include other H9N2 strains in the phylogenetic analysis, in addition to the two isolates from the same farm in West Java. We have also clarified the method regarding the percentage of similarity between strains, as shown in Table 2. Figure 1 has been moved to the supplementary materials. The most significant changes have been made in the discussion section, which is now divided into three main focus areas: (1) both strains belong to the same clade, (2) specific amino acid mutations, particularly at antigenic sites, and (3) the reference strain for Neu5Ac2-6Gal in 2023. Additionally, we have expanded the discussion to include the potential roles of viral segments other than HA, as well as some limitations of this study. To read any peer review reports and author responses for this article, follow the "read" links in the Open Peer Review table. READ REVIEWER RESPONSES Introduction Avian influenza is an acute viral infectious disease that can affect all types of birds of any age. Based on the differences in hemagglutinin (H1–18) and neuraminidase (N1–N11) components, avian influenza is divided into several subtypes. 1 , 2 Each subtype has varying levels of pathogenicity, ranging from low pathogenic avian influenza (LPAI) to high pathogenic avian influenza (HPAI). However, both LPAI and HPAI can affect bird health. 3 The presence of gene mutations through antigenic drift and antigenic shift can result in a change in symptoms. Initially, LPAI may not cause significant harm, but with these mutations, it can become highly detrimental to the poultry industry. 4 AIV is an RNA virus that consists of eight segments, each encoding viral protein genes. On the other hand, this virus is also more prone to mutation than DNA viruses. 5 Diagnosis using polymerase chain reaction (PCR) and sequencing of the viral genome is necessary to determine the homology between the vaccine virus and the circulating field virus. 6 This is because if the circulating virus has low homology with the vaccine, it can result in the ineffectiveness of the vaccine due to the continued shedding of the virus. 7 In AIV, there is a crucial virus segment that needs to be characterized, which is hemagglutinin (HA), corresponding to the fourth segment of the AI genome. 8 , 9 HA functions at the early stage of infection by attaching the virus to the host receptor. Mutations in the HA gene can increase the virulence and pathogenicity of the virus. 10 Avian influenza infects its target host by initiating the recognition of the HA protein by cellular proteases from the target infected cell. Cellular proteases activate HA0, splitting it into two parts: HA1 and HA2. HA1 binds to Neu5Ac, while HA2 plays a role in fusion between the viral envelope and the host endosomal membrane. Without this recognition, the virus cannot infect the cell. 11 One subtype AIV that poses a threat to the poultry industry is the H9N2 subtype. 12 In countries affected by avian influenza outbreaks, such as China, the H9N2 subtype of AIV causes significant losses due to its high morbidity rate of up to 100% in infected layer chicken farms. 13 Infected layer chickens experience a decrease in appetite accompanied by a drastic decline in egg production. Viral infection is often exacerbated by secondary infections from bacteria or other viruses, resulting in high mortality among the infected layer chicken population. 14 H9N2 virus infection may not be immediately visible at onset, but the virus spreads rapidly through the shedding of feces or nasal discharge from birds. Due to these characteristics, rapid and accurate detection is crucial to identify the presence of AIV infection on a farm, enabling appropriate measures to be taken in addressing H9N2 virus infection. 15 West Java Province is a province in Indonesia that has several densely populated districts for layer chicken farming, including Bogor, Sukabumi, Cianjur, Ciamis, and several other districts. In 2017, one H9N2 isolate was successfully isolated and characterized, namely, strain A/Layer/Indonesia/WestJava-04/2017 (H9N2) (GenBank accession number MG957203), originating from a densely populated layer chicken farming area in West Java. 16 The high density of layer chicken farms in a region facilitates the spread and mutation of AIVs. Therefore, this study aims to isolate and characterize the H9N2 subtype AIV from the layer chicken farm where the A/Layer/Indonesia/WestJava-04/2017 (H9N2) strain originated. This study also describes the molecular changes in the HA gene using molecular docking after implementing the H9N2 vaccination program, which has been ongoing for six years. Methods Sample collection Sampling was conducted at a commercial layer chicken farm in West Java Province, the original location of the AIV subtype H9N2 strain A/Layer/Indonesia/WestJava-04/2017 (H9N2) (GenBank Accession No. MG957203). After five years of vaccination with a homologous commercial vaccine at the farm, a decrease in production and bird mortality occurred in February 2023. Samples consisting of brain, trachea, and oviduct organs from three deceased chickens with symptomatic of H9N2 infection. The samples were from flock of 100,000 chickens at a commercial egg production farm. All organs from all chickens combined in one sample and then was tested by virus isolation and PCR methods. Virus isolation The sample was multiplied using standard laboratory procedures. Tissue of pooled organs of three chickens was combined with sterile phosphate-buffered saline (pH 7.4) from ThermoFisher (28348) containing antibiotics (200 g/ml penicillin and 100 g/ml streptomycin) and then centrifuged at 1,000 g and 4 °C for fifteen minutes. The remaining supernatant was filtered through a 0.45 μm membrane filter and injected intra-allantoically into 9-day-old SPF eggs. The SPF eggs were incubated at 37 °C for 48–72 hours, and daily monitoring of embryo mortality was performed. 17 After 72 hours of incubation, all ECEs, regardless of their viability, were subsequently preserved at a refrigerated temperature of 8 °C overnight and then harvested. The collected specimens consisted of allantoic fluid, which was subsequently utilized for conducting a rapid HA assay to promptly detect AIV in early stages. 16 Viral RNA was identified using a reverse transcription-polymerase chain reaction (RT–PCR) assay The RNA was further extracted from the allantoic fluid that was collected using a total RNA mini kit reagent from Geneaid ® , Taiwan (RPD050). The RNA obtained was then analyzed for the presence of the H9N2 virus using the SensiFASTTM SYBR Lo-ROX Kit from Bioline ® , Taunton (BIO-94005). For the RT–qPCR assay, the primers H9-F: 5′-ATCGGCTGTTAATGGAATGTGTT-3′, H9-R: 5′- TGGGCGTCTTGAATAGGGTAA-3′ 18 and N2-F: 5′-CTCCAATAGACCCGTACTAT-3′, N2-R: 5′-CCTGAAGTCCCACAAAATAC-3′ 19 were utilized with the LongGene Q2000C (China). The thermal profile for gene amplification included two minutes of polymerase activation at 95 °C, which was followed by a total of 45 cycles of denaturation at 95 °C for 5 seconds, annealing at 60 °C for 10 seconds, and extension at 72 °C for 15 seconds. When the cycle threshold (Ct) value falls below 40, a positive result is indicated. In addition, RT–PCR assays were conducted to detect avian influenza subtype H9N2, Newcastle disease virus (NDV), and infectious bronchitis virus (IBV). RT–PCR was conducted according to the protocol used in a previous study. 20 Sequencing The confirmed HA of the H9 gene from RT–PCR was amplified for sequencing using the MyTaq One-Step RT–PCR kit from Bioline ® , Taunton (BIO-65049), and the primers HAp1-F: 5′-TCCACGGAAACTGTAGACACA-3′, HAp1-R: 5′-TTCTGTGGCTCTCTCCTGAAA-3′ and Hap2-F: 5′-AGGCCTCTTGTCAACGGTTT-3′, Hap2-R: 5′-CCAACGCCCTCTTCACTTTA-3′ were used. 21 The Sanger sequencing method was performed by First BASE Laboratories, Malaysia, which separated the PCR products using electrophoresis and purified the desired band for sequencing. Using Bioedit v.7 ( https://bioedit.software.informer.com/7.0/ ), the nucleotide and amino acid sequences of a recently isolated strain’s HA gene were determined, and ClustalW was used for alignment. A modern virus phylogenetic tree was constructed using MEGA v 7.0 ( https://www.megasoftware.net/ ), the neighbor-joining method, and 1,000 alignment repetitions. The phylogenetic tree was compared the clade of the recent study isolate, a previous isolate A/Layer/Indonesia/WestJava-04/2017 (H9N2) (GenBank Accession No. MG957203) and other prototype H9N2 isolate strains of the all H9N2 clades from GenBank. The genetic distance between isolates and the topology of the phylogenetic tree were used to compared strains. The genetic distance between isolates and the topology of the phylogenetic tree were used to compared strains. The genetic similarity percentage of all study strains was calculated by using the maximum composite likelihood model implemented in MEGA v 7.0 ( https://www.megasoftware.net/ ). 22 Several key regions were investigated in this investigation, including the receptor-binding sites (RBS) on the left and right edges of the binding pocket, as well as the cleavage site. In addition, the correlation between particular amino acid residues (54, 80, 106, 109, 113, 123, 125, 129, 130, 135, 137, 146, 147, 149, 150, 152, 164, 165, 178, 179, 182, 183, 188, 189, 194, and 216) and H9N2 virus antigenicity was analysed. The amino acid sequence of the HA gene from the most recent H9N2 virus was uploaded to http://www.cbs.dtu.dk/services/NetNGlyc/to evaluate potential N-glycosylation sites. 21 Molecular Docking of Protein HA1 (2017 and 2023 isolates) with Ligands Neu5Ac2-3Gal and Neu5Ac2-6Gal The simulation was conducted on a computer hardware system with the following specifications: 8.00 GB RAM and an Intel ® Core i5-2520 M CPU with a clock speed of 2.50 GHz. The software used in the study included Google Chrome v114.0.5735.199 for accessing the SwissDock website, which served as the protein–ligand docking server and ran automatically ( http://swissdock.ch/docking ). Additionally, BIOVIA Discovery Studio Visualizer v21.1.0.20298 ( https://discover.3ds.com ), Chimera v1.17.3 ( https://www.cgl.ucsf.edu/chimera/download.html ), AutoDock Tools v1.5.7 ( https://autodock.scripps.edu/ ), PyMol v2.5.2 ( https://pymol.org/ ), and LigPlot+ v2.2.8 ( https://www.ebi.ac.uk/thornton-srv/software/LigPlus/download.html ) were used for data analysis and visualization. The simulation begins with the creation of a 3D model of the HA1 protein from the AIV, specifically the recent study isolate (HA1-2023) and the A/Layer/Indonesia/WestJava-04/2017 strain (HA1-2017). This is achieved using the PHYRE2 Protein Fold Recognition Server ( http://www.sbg.bio.ic.ac.uk/ ). The ligands used in the simulation were obtained from https://pubchem.ncbi.nlm.nih.gov/ . They are Neu5Ac2-3Gal (compound CID: 13832708) and Neu5Ac2-6Gal (compound CID: 53262334). The docking was performed using the automated server facility on SwissDock, where the uploaded documents were in PDB format (.pdb) for the protein acting as the receptor and SYBYL MOL2 format (.mol2) for the molecules acting as ligands. Docking was carried out for the protein HA1-2017 with the Neu5Ac2-3Gal ligand, HA1-2017 with the Neu5Ac2-6Gal ligand, HA1-2023 with the Neu5Ac2-3Gal ligand, and HA1-2023 with the Neu5Ac2-6Gal ligand. Only models with ligands attached to the Leu216 residue region are observed and selected for further analysis. The selection of the residue is based on the fact that the amino acid at position 216 determines the virus’s tendency to infect mammalian cells dominated by Neu5Ac2-6Gal or avian cells dominated by Neu5Ac2-3Gal. 20 The docking results were downloaded in the Chimera Web Data format (.xml) and run in Chimera software v1.17.3 to select the best docking model. The best model was chosen based on the Gibbs free energy (ΔG) value, where ΔG represents the stability parameter of the bond formed between the protein and the ligand. A more negative value indicates a more stable bond. The protein–ligand interactions are then evaluated, observing hydrogen bonding, hydrogen bond distances (Å), interacting residues and functional groups, and residues that interact with the ligand noncovalently. 23 Nucleotide sequence accession numbers The partial CDS of the HA gene of A/chicken/Indonesia/MSL0123/2023 (H9N2) in this study was deposited in GenBank and received the accession number OR243721. Results H9N2 subtype AI virus detection The presence of viral RNA was identified by RT–qPCR specifically targeting H9 and N2. The results shown in Supplementary Figure 1a and Supplementary Figure 1b indicate that the recent isolate of this study is an AIV subtype H9N2. The H9 gene in a recent isolate was amplified with a Ct value of 28.50, while the N2 gene was amplified at a Ct value of 34.69. Amplification of the Hemagglutinin (HA) gene The results of HA gene amplification using primers HApar1 and HApar2 on a recent sample from this investigation are shown in Supplementary Figure 1c. The electrophoresis results revealed the presence of DNA bands at the 736 bp (for HApar1) and 712 bp (for HApar2) sites. Marker 100-2000 bp is the size of the molecular marker displayed in the illustration. Amino acid analysis The partial CDS of the HA gene from this study was deposited in GenBank, with the accession number OR243721 as A/chicken/Indonesia/MSL0123/2023 (H9N2). The amino acid sequence at the cleavage site of the recent isolate is PSRSSR↓GLF, while the receptor binding site has the motif PWTNTLY ( Table 1 ). Additionally, at position 217 on the left side of the receptor binding site (RBS), the recent isolate contained the amino acid M (methionine). It should be noted that this amino acid sequence is identical to A/Layer/Indonesia/WestJava-04/2017, which originated from the same farm. Table 1. Amino acid analysis of important sites in the HA gene of H9N2 viruses. A. Receptor-binding pockets, cleavage sites and antigenic site of recent isolate of H9N2 compared to A/Layer/Indonesia/WestJava-04/2017 (H9N2) a Virus Lineage Receptor binding site Left-edge of binding pocket Right-edge of binding pocket Cleavage site Antigenic site Acession Number Site I Site II A/Layer/Indonesia/WestJava-04/2017 (H9N2) h9.4.2.5 PWTNTLY NGLMGR GTSKA PSRSSR↓GLF SKP DDL MG957203 A/chicken/Indonesia/MSL0123/2023 (H9N2) h9.4.2.5 PWTNTLY NGLMGR GTSKA PSRSSR↓GLF SKP DNL OR243721 B. Potential N-glycosylation sites 2) HA1 Virus 11–13 b 123–125 127–202 178–180 188–190 200–202 280–282 287–289 295–297 A/Layer/Indonesia/WestJava-04/2017 (H9N2) NST NVS – – – NRT NTT NVS NCS A/chicken/Indonesia/MSL0123/2023 (H9N2) NST NVS – – – NRT NTT NVS NCS C Other mutations of recent isolate HA1 Virus 23 34 53 69 72 74 114 120 163 179 A/Layer/Indonesia/WestJava-04/2017 (H9N2) N H D P E R I K E T A/chicken/Indonesia/MSL0123/2023 (H9N2) D Q E S G K T T G D a The receptor-binding site (RBS) includes residues at positions 92, 143, 145, 173, 180, 184, and 185. The left-edge of the binding pocket is located at positions 214-219, while the right-edge of the binding pocket is situated at positions 128-132. The cleavage site is positioned at positions 315-323. The antigenic site is divided into two regions: site I, which includes positions 125, 147, and 152, and site II, which encompasses positions 135, 183, and 216. b The arrangement of amino acid residues in the HA genes of AIV subtype H9N2.These residue placements are based on the H9 numbering system. In a recent study, the antigenic site I of the HA gene in the recent sample displayed the same motif as A/Layer/Indonesia/WestJava-04/2017 (H9N2). At site I, amino acids S (serine), K (lysine), and P (proline) were present. For site II, the motif consisted of amino acids D (aspartate), N (asparagine), and L (leucine) at positions 135, 183, and 216. In contrast, A/Layer/Indonesia/WestJava-04/2017 (H9N2) exhibited D (aspartate) at position 183. The analysis of the HA gene in the recent sample included an examination of potential glycosylation sites (PGS). The HA1 gene segment revealed the NXT/S motif (where X represents any amino acid except proline) at positions 11-13 (NST), 123-125 (NVS), 200-202 (NRT), 280-282 (NTT), 287-289 (NVS), and 295-297 (NCS). There were also several other amino acid differences observed at positions 23, 34, 53, 69, 72, 74, 114, 120, 163, and 179 ( Table 1 ). Homology comparison The results of the homology comparison are shown in Table 2 . The recent isolate has a similarity of 95.84% with A/Layer/Indonesia/WestJava-04/2017 (H9N2), which was isolated from the same farm but in a different year. When analyzed against several representatives of the H9N2 subtype clades, the recent isolate has a similarity of approximately 72.24% with clade h9.1, 72.56% with clade h9.2, 74.72% with clade h9.3, and 81.80% with h9.4.1. These results are lower compared to the similarity of the recent isolate with viruses classified under clade h9.4.2. Based on homology comparison, a recent isolate, A/chicken/Indonesia/MSL0123/2023 (H9N2), belonged to subclade h9.4.2.5. Table 2. Nucleotide sequence similarities between the current strain and several H9N2 isolates in GenBank. No. Strain Accession No. Clade Similarity (%) 1 A/turkey/California/189/66 (H9N2) AF156390 h9.1 72.24 2 A/Shorebird/Delaware/9/96 (H9N2) AF156386 h9.2 72.56 3 A/Duck/Hong_Kong/Y439/97 (H9N2) AF156377 h9.3 74.72 4 A/Quail/Hong_Kong/G1/97 (H9N2) AF156378 h9.4.1 81.80 5 A/Chicken/Shanghai/F/98 (H9N2) AY743216 h9.4.2.1 86.05 6 A/guineafowl/HongKong/NT184/03 (H9N2) AY664674 h9.4.2.2 83.66 7 A/Chicken/Guangdong/SS/94 (H9N2) AF384557 h9.4.2.3 86.95 8 A/Duck/Hong_Kong/Y280/97 (H9N2) AF156376 h9.4.2.4 88.30 9 A/chicken/Henan/LY-36/2013 (H9N2) KF638574 h9.4.2.5 90.95 10 A/Layer/Indonesia/WestJava-04/2017 (H9N2) MG957203 h9.4.2.5 95.84 11 A/muscovy_duck/Vietnam/LBM719/2014 (H9N2) LC028176 h9.4.2.5 95.55 12 A/chicken/Guangdong/FZH/2011 (H9N2) JF715024 h9.4.2.6 84.21 Phylogenetic tree The phylogenetic tree showed that the samples were together with other isolates from Indonesia such as A/Layer/Indonesia/WestJava-04/2017 (H9N2), A/chicken/East_Java/M92_10/2017 (H9N2), A/chicken/East_Java/M92_24/2017 (H9N2), Vietnam A/muscovy_duck/Vietnam/LBM719/2014 (H9N2) and China such as A/chicken/Zhejiang/HE6/2009 (H9N2), A/chicken/Henan/LY-36/2013 (H9N2), A/chicken/Guangdong/LGQ02/2014 (H9N2) so that these were included in China, Vietnam, and Indonesia (CVI) clades ( Figure 1 ). Recent viruses belonged to subclade h9.4.2.5, according to a phylogenetic study. Figure 1. Phylogenetic tree of the hemagglutinin (HA) gene of the AIV H9N2 virus was constructed. Docking analysis The target HA1 proteins of AIV subtype H9N2 isolated in 2017 (HA12017) and 2023 (HA12023) were chosen for the study because of their importance in viral attachment for the docking analysis, as there were no 3D structures of the protein, and its modeling was carried out. After submission of their amino acid sequences on Phyre2, the modeled proteins obtained were downloaded and visualized in Discovery Studio Visualizer. The Neu5Ac2-3Gal (Sia3) and Neu5Ac2-6Gal (Sia6) ligands used in this study are shown in Figure 2 . Figure 2. Modeled protein HA1 of H9N2 predicted by the Robetta server, visualized in Discovery Studio Visualizer. Based on the docking results, the data obtained are presented in Table 3 . The obtained results represent the best model with the most negative ∆G and the ligand positioned and bound near the Leu216 residue. The interactions between each protein and ligand are shown in Figure 3 , with hydrogen bonding data and residues involved in hydrogen bonding interactions presented in Table 4 . The interactions that occur can be either hydrogen bonding or nonbonding interactions that strengthen the ligand’s affinity with the protein. Table 3. Docking results of proteins HA12017 and HA12023 with ligands Sia3 and Sia6 selected. Protein Ligand Cluster Cluster rank Delta G ( ∆ G) (Kcal/mol) HA12017 Sia3 2 0 -7.98304 HA12017 Sia6 11 0 -7.79904 HA12023 Sia3 2 0 -7.42221 HA12023 Sia6 8 0 -7.84408 Figure 3. Interactions occurring in HA12017 and HA12023 with ligand Sia3 and Sia6. Table 4. Hydrogen bonds and interacting residues. Protein Ligand Hydrogen bond distance (Å) Residues and functional groups that are binding Residues that have nonbonding interactions with the ligand HA12017 Sia3 3.22 Asn173 (O-O) Thr129, Pro178, Leu184, Pro175, Gly218, Thr179, Leu216 3.23 Met217 (O-N) 3.18 Thr177 (O-O) 3.17 Thr180 (O-O) HA12023 Sia3 2.93 Thr180 (O-O) Thr177, Gly215, Leu216, Pro176, Ser130, Lys131 3.09 Met217 (O-N) HA12017 Sia6 3.21 Lys131 (O-N) Gly218, Pro175, Trp143, Pro176, Tyr91, Leu216, Met217 2.85 Gly215 (O-O) 2.85 Ser130 (O-O) 3.20 Asn173 (O-N) HA12023 Sia6 3.18 Lys 131 (O-N) Ser130, Leu216, Pro176, Tyr91, Gly218, Asn173, Trp143 3.19 Lys 131 (O-N) 3.19 Gly215 (O-O) 3.10 Thr180 (O-O) 2.87 Thr129 (O-O) Discussion This study provides a comprehensive molecular comparison of the H9N2 avian influenza virus (AIV) isolates from 2017 and 2023 from the same poultry farm in West Java, Indonesia. The findings highlight key genetic mutations, antigenic site variations, and receptor-binding preferences of HA that may influence viral evolution and host adaptation. 24 , 25 Phylogenetic analysis confirms that both isolates belong to the h9.4.2.5 subclade, indicating evolutionary stability within this lineage despite ongoing vaccination efforts. The results suggest that while genetic changes occur over time, the virus remains within a well-defined evolutionary framework, allowing for targeted monitoring and control strategies. The specimens utilized in this study are also closely linked to previously reported isolates from Indonesia, notably Yogyakarta and Central Java, 16 Sulawesi, 26 Banten, and North Sumatra, 16 based on the phylogenetic tree. Wild birds serve as natural reservoirs for all AIV subtypes and play a crucial role in the virus's ecology and spread. The trade assists the global spread of the AI virus in chicken and poultry products and seasonal bird movement. 27 The passage of wild birds from East Asia to Australia substantially impacts the spread of the H9N2 AI virus in Chinese layer farms, and this movement can result in viral transmission between different places. 28 Molecular analysis reveals 11 amino acid substitutions between the 2017 and 2023 isolates, suggesting ongoing genetic drift within the HA gene. The substitution at antigenic site II is significant, where the 2023 isolate features an N183 residue instead of D183 in the 2017 strain. This mutation is known to influence antigenicity and immune recognition, potentially affecting vaccine efficacy. 29 In vivo studies demonstrated that changes influenced viral replication and transmission of H9N2 in chickens. D183-containing viruses were able to multiply in the lungs of infected hens. Variations in antigenic site II locations 183 and 216 decrease viral interactions with epitope-specific antibodies and can result in mutant virus escape. 16 , 30 The ability of the virus to undergo antigenic variation is a crucial factor in its persistence and continued circulation in poultry populations, underscoring the need for periodic vaccine updates to match emerging variants. In addition to antigenic site variations, the receptor-binding properties of the virus have also evolved. Molecular docking analysis demonstrates a shift in receptor-binding preference, with the HA1 protein of the 2017 virus exhibiting a stronger affinity for Neu5Ac2-3Gal, a receptor predominantly found in avian hosts. In contrast, the 2023 isolate shows increased binding affinity for Neu5Ac2-6Gal, a sialic acid receptor commonly found in mammals. This shift could indicate an increased potential for cross-species transmission, raising concerns about zoonotic risks. The mutation at position 216 within the antigenic region plays a key role in this altered binding affinity, reinforcing the need for enhanced surveillance of circulating H9N2 strains. 31 This study provided a comprehensive molecular characterization of the H9N2 avian influenza virus (AIV) isolates from 2017 and 2023, a significant limitation is the exclusive focus on the hemagglutinin (HA) gene. The HA is a critical determinant of antigenicity and host receptor binding. However, adapting AIV to vaccination and host immune responses involves multiple viral segments beyond HA. Neuraminidase (NA) is essential in viral release and spread, influencing antigenicity and immune evasion. Mutations in the NA gene can enhance viral fitness, particularly in response to selective pressures from vaccination. 32 Beyond HA and NA, the internal genes of the influenza virus, including polymerase genes (PB2, PB1, and PA), nucleoprotein (NP), matrix (M1 and M2), and non-structural proteins (NS1 and NS2) significantly impact viral adaptation. 33 The ability of the 2023 strain to favor Neu5Ac2-6Gal receptors suggests that the virus may be adapting to recognize mammalian-like receptors more efficiently. 34 This adaptation could lead to host range and transmission dynamics changes, warranting further investigation into potential zoonotic threats. Understanding these receptor-binding changes is crucial for assessing public health risks and developing preventive measures. In this study, the binding ability to sialic acids of the 2017 virus and 2023 virus was analyzed through molecular docking instead of direct experiment data. Conducting a receptor binding assay, such as using analogs of different sialic acids, will be more convincing in the next study. Additionally, further experimental validation, such as antigenic cartography, in vivo assays, and serological cross-reactivity studies, would be necessary to confirm the functional impact of mutations in these viral segments. Expanding surveillance efforts beyond HA sequencing would provide a more comprehensive understanding of viral evolution and vaccine-driven selection pressures in endemic regions such as Indonesia. A limitation of this study is its reliance on samples from only one farm. While the virus's molecular characterization provides valuable insights, analyzing the adaptation potential of H9N2 strains to vaccination requires a broader sampling strategy that includes multiple farms from the region. Sampling from diverse farms would help capture genetic variation across different poultry populations and improve the generalizability of the findings. These findings emphasize the importance of continuously monitoring circulating H9N2 strains, particularly in regions with intensive poultry farming. Surveillance programs should identify antigenic drift, evaluate receptor-binding changes, and assess vaccine effectiveness against emerging variants. Additionally, further studies incorporating in vivo receptor-binding assays and serological analysis will provide deeper insights into the implications of these molecular changes for poultry and public health. Overall, the evolution of H9N2 in Indonesia reflects the complex interplay between viral adaptation, immune selection pressure, and potential cross-species transmission. Maintaining vigilance in genomic surveillance and vaccine updates is essential to mitigate the risks of this evolving virus and safeguard animal and human health. Ethical statement The present research adheres to the guidelines outlined in the Indonesian Law on Animal Health Research (UU/18/2009, article 80). Due to the absence of live animals in this study, ethical approval was not necessary. Data availability statement GenBank: The Nucleotide database. Accession number MG957203; https://www.ncbi.nlm.nih.gov/nuccore/MG957203 . 16 The ligands used in the simulation were obtained from https://pubchem.ncbi.nlm.nih.gov/ . They are Neu5Ac2-3Gal (compound CID: 13832708) and Neu5Ac2-6Gal (compound CID: 53262334). Extended data Zenodo: Supplementary Figure 1, https://doi.org/10.5281/zenodo.14934564 . 35 Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0). Acknowledgment The authors thank Dr. Sudarisman and Adin Priadi, dvm for discussion and kind advice. References 1. Balkhy H, Al-Hajjar S: Avian influenza: are our feathers ruffled? Ann. Saudi Med. 2006 May-Jun; 26 (3): 175–82. eng. PubMed Abstract | Publisher Full Text | Free Full Text 2. Nugroho C, Pawitan J: Production of Antibody for Direct Fluorescence Antibody Assay against Avian Influenza H9N2. Hosts and Viruses. 2020; 7 (28): 7. Publisher Full Text 3. Kanaujia R, Bora I, Ratho RK, et al. : Avian influenza revisited: concerns and constraints. Virusdisease. 2022 Dec; 33 (4): 456–65. Epub 20221028. eng. PubMed Abstract | Publisher Full Text | Free Full Text 4. Shao W, Li X, Goraya MU, et al. : Evolution of Influenza A Virus by Mutation and Re-Assortment. Int. J. Mol. Sci. 2017 Aug 7; 18 (8). Epub 20170807. eng. PubMed Abstract | Publisher Full Text | Free Full Text 5. Lee DH, Song CS: H9N2 avian influenza virus in Korea: evolution and vaccination. Clin Exp. Vaccine Res. 2013 Jan; 2 (1): 26–33. Epub 20130115. eng. PubMed Abstract | Publisher Full Text | Free Full Text 6. Gao X, Wang N, Chen Y, et al. : Sequence characteristics and phylogenetic analysis of H9N2 subtype avian influenza A viruses detected from poultry and the environment in China, 2018. PeerJ. 2021; 9 : e12512. Epub 20211220. eng. PubMed Abstract | Publisher Full Text | Free Full Text 7. Li C, Yu K, Tian G, et al. : Evolution of H9N2 influenza viruses from domestic poultry in Mainland China. Virology. 2005 2005/09/15/; 340 (1): 70–83. Publisher Full Text 8. Bouvier NM, Palese P: The biology of influenza viruses. Vaccine. 2008 Sep 12; 26 Suppl 4 (Suppl 4): D49–53. eng. PubMed Abstract | Publisher Full Text | Free Full Text 9. Sriwilaijaroen N, Suzuki Y: Molecular basis of the structure and function of H1 hemagglutinin of influenza virus. Proc. Jpn. Acad. Ser. B Phys. Biol. Sci. 2012; 88 (6): 226–49. Epub 2012/06/26. eng. PubMed Abstract | Publisher Full Text | Free Full Text 10. Neumann G: H5N1 influenza virulence, pathogenicity and transmissibility: what do we know? Future Virol. 2015; 10 (8): 971–80. eng. PubMed Abstract | Publisher Full Text | Free Full Text 11. Taubenberger JK: Influenza virus hemagglutinin cleavage into HA1, HA2: no laughing matter. Proc. Natl. Acad. Sci. USA. 1998 Aug 18; 95 (17): 9713–5. eng. PubMed Abstract | Publisher Full Text | Free Full Text 12. Xu H, Qian J, Song Y, et al. : The adaptability of H9N2 avian influenza A virus to humans: A comparative docking simulation study. Biochem. Biophys. Res. Commun. 2020 2020/09/03/; 529 (4): 963–9. PubMed Abstract | Publisher Full Text 13. Gu M, Xu L, Wang X, et al. : Current situation of H9N2 subtype avian influenza in China. Vet. Res. 2017 12/01; 48 : 49. PubMed Abstract | Publisher Full Text | Free Full Text 14. Bonfante F, Mazzetto E, Zanardello C, et al. : A G1-lineage H9N2 virus with oviduct tropism causes chronic pathological changes in the infundibulum and a long-lasting drop in egg production. Vet. Res. 2018 Aug 29; 49 (1): 83. Epub 20180829. eng. PubMed Abstract | Publisher Full Text | Free Full Text 15. Iqbal M, Yaqub T, Mukhtar N, et al. : Infectivity and transmissibility of H9N2 avian influenza virus in chickens and wild terrestrial birds. Vet. Res. 2013 Oct 17; 44 (1): 100. Epub 20131017. eng. PubMed Abstract | Publisher Full Text | Free Full Text 16. Nugroho CMH, Silaen OSM, Kurnia RS, et al. : Isolation and molecular characterization of the hemagglutinin gene of H9N2 avian influenza viruses from poultry in Java, Indonesia. J. Adv. Vet. Anim. Res. 2021 Sep; 8 (3): 423–34. Epub 2021/11/02. eng. PubMed Abstract | Publisher Full Text | Free Full Text 17. Kurnia RS, Tarigan S, Nugroho CMH, et al. : Potency of bacterial sialidase Clostridium perfringens as antiviral of Newcastle disease infections using embryonated chicken egg in ovo model. Vet. World. 2022 Aug; 15 (8): 1896–905. Epub 20220806. eng. PubMed Abstract | Publisher Full Text | Free Full Text 18. Chaharaein B, Omar AR, Aini I, et al. : Detection of H5, H7 and H9 subtypes of avian influenza viruses by multiplex reverse transcription-polymerase chain reaction. Microbiol. Res. 2009; 164 (2): 174–9. Epub 2007/03/06. eng. PubMed Abstract | Publisher Full Text 19. Abid M, Yaqub T, Mehboob A, et al. : Characterization and Phylogenetic Analysis of Avian Influenza Virus Subtype h9n2 in Pakistan.2017 08/24. 20. Nugroho CMH, Kurnia RS, Tarigan S, et al. : Screening and purification of NanB sialidase from Pasteurella multocida with activity in hydrolyzing sialic acid Neu5Acα(2-6) Gal and Neu5Acα(2-3)Gal. Sci. Rep. 2022 Jun 8; 12 (1): 9425. Epub 2022/06/09. eng. PubMed Abstract | Publisher Full Text | Free Full Text 21. Maharani NR, Susetya H, Wibowo MH: Characterization of Hemagglutinin Gene Fragment of H9N2 Avian Influenza Virus Isolated from Environmental Live Bird Market in the Greater Jakarta Area. Trop. Anim. Sci. J. 2022 05/18; 45 (2): 141–153. Publisher Full Text 22. Silaen OSM, Murtini S, Pamungkas J, et al. : Isolation and molecular characterization of fowl aviadenovirus associated with inclusion body hepatitis from poultry in Banten and West Java, Indonesia. Vet. World. 2020 Sep; 13 (9): 1940–6. Epub 20200922. eng. PubMed Abstract | Publisher Full Text | Free Full Text 23. Syahputra G: Docking Simulation of Curcumin and Its Analogs as Inhibitors on 12-Lipoxygenase Enzyme.2014. 24. Richard M, de Graaf M , Herfst S: Avian influenza A viruses: from zoonosis to pandemic. Future Virol. 2014 May 1; 9 (5): 513–24. PubMed Abstract | Free Full Text eng, Publisher Full Text | 25. Zhang Y, Xu C, Zhang H, et al. : Targeting Hemagglutinin: Approaches for Broad Protection against the Influenza A Virus. Viruses. 2019 Apr 30; 11 (5). Epub 20190430. eng. PubMed Abstract | Publisher Full Text | Free Full Text 26. Shirvani E, Paldurai A, Varghese BP, et al. : Contributions of HA1 and HA2 Subunits of Highly Pathogenic Avian Influenza Virus in Induction of Neutralizing Antibodies and Protection in Chickens. Front. Microbiol. 2020; 11 : 1085. Epub 20200605. eng. PubMed Abstract | Publisher Full Text | Free Full Text 27. Zhang J, Ma K, Li B, et al. : A risk marker of tribasic hemagglutinin cleavage site in influenza A (H9N2) virus. Commun Biol. 2021 Jan 15; 4 (1): 71. Epub 20210115. eng. PubMed Abstract | Publisher Full Text | Free Full Text 28. Baron J, Tarnow C, Mayoli-Nüssle D, et al. : Matriptase, HAT, and TMPRSS2 activate the hemagglutinin of H9N2 influenza A viruses. J. Virol. 2013 Feb; 87 (3): 1811–20. Epub 20121128. eng. PubMed Abstract | Publisher Full Text | Free Full Text 29. Bóna M, Kiss I, Dénes L, et al. : Tissue Tropism of H9N2 Low-Pathogenic Avian Influenza Virus in Broiler Chickens by Immunohistochemistry. Animals (Basel). 2023 Mar 14; 13 (6). Epub 20230314. eng. PubMed Abstract | Publisher Full Text | Free Full Text 30. Teng Q, Xu D, Shen W, et al. : 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. 2016 Nov 1; 90 (21): 9806–25.Epub 20161014. eng. PubMed Abstract | Publisher Full Text | Free Full Text 31. Shen HQ, Yan ZQ, Zeng FG, et al. : Isolation and phylogenetic analysis of hemagglutinin gene of H9N2 influenza viruses from chickens in South China from 2012 to 2013. J. Vet. Sci. 2015; 16 (3): 317–24. Epub 20150130. eng. PubMed Abstract | Publisher Full Text | Free Full Text 32. Sun H, Lin J, Liu Z, et al. : Genetic, Molecular, and Pathogenic Characterization of the H9N2 Avian Influenza Viruses Currently Circulating in South China. Viruses. 2019 Nov 8; 11 (11). Epub 20191108. eng. PubMed Abstract | Publisher Full Text | Free Full Text 33. Sealy JE, Yaqub T, Peacock TP, et al. : Association of Increased Receptor-Binding Avidity of Influenza A(H9N2) Viruses with Escape from Antibody-Based Immunity and Enhanced Zoonotic Potential. Emerg. Infect. Dis. 2018 Jan; 25 (1): 63–72. eng. PubMed Abstract | Publisher Full Text | Free Full Text 34. Belser JA, Sun X, Brock N, et al. : Genetically and Antigenically Divergent Influenza A(H9N2) Viruses Exhibit Differential Replication and Transmission Phenotypes in Mammalian Models. J. Virol. 2020 Aug 17; 94 (17). Epub 20200817. eng. PubMed Abstract | Publisher Full Text | Free Full Text 35. Nugroho CMH: Supplementary Figure 1. Zenodo.2025. Publisher Full Text Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 04 Jun 2024 ADD YOUR COMMENT Comment Author details Author details 1 Master of Animal Biomedical Sciences, School of Veterinary and Biomedical, IPB University, Bogor, West Java, 16680, Indonesia 2 Department of Microbiology, Faculty of Medicine, University of Indonesia, Jakarta, Jakarta, 10320, Indonesia 3 Division of Medical Microbiology, School of Veterinary Medicine and Biomedical Sciences, IPB University, Bogor, West Java, 16680, Indonesia 4 Animal Health Diagnostic Unit, PT. Medika Satwa Laboratoris, Bogor, West Java, 16166, Indonesia 5 Division of Central Laboratory and Disease Research Center, Technology and Research Development, Central Proteina Prima (CP Prima) Inc., Tangerang, Banten, 15560, Indonesia 6 Department of Medical Pharmacy, Faculty of Medicine, University of Indonesia, Jakarta, Jakarta, 10430, Indonesia Muhammad Ade Putra Roles: Conceptualization, Formal Analysis, Methodology, Project Administration, Supervision, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Amin Soebandrio Roles: Conceptualization, Investigation, Supervision, Validation, Writing – Original Draft Preparation, Writing – Review & Editing I Wayan Teguh Wibawan Roles: Conceptualization, Investigation, Methodology, Validation Christian Marco Hadi Nugroho Nugroho Roles: Conceptualization, Data Curation, Formal Analysis, Visualization, Writing – Original Draft Preparation, Writing – Review & Editing Ryan Septa Kurnia Roles: Data Curation, Formal Analysis, Methodology, Resources, Supervision, Validation, Visualization Otto Sahat Martua Silaen Roles: Project Administration Rifky Rizkiantino Roles: Formal Analysis, Methodology, Resources, Software, Validation Agustin Indrawati Roles: Investigation, Methodology, Supervision, Validation, Writing – Original Draft Preparation Okti Nadia Poetri Roles: Conceptualization, Data Curation, Formal Analysis, Project Administration, Supervision, Writing – Original Draft Preparation, Writing – Review & Editing Desak Gede Budi Krisnamurti Roles: Conceptualization, Formal Analysis, Funding Acquisition, Methodology, Project Administration, Supervision, Writing – Review & Editing Competing interests No competing interests were disclosed. Grant information This study was funded by Universitas Indonesia through a PUTI Grant with contract number NKB-366/UN2.RST/HKP.05.00/2023. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Article Versions (3) version 3 Revised Published: 05 Mar 2025, 13:571 https://doi.org/10.12688/f1000research.150975.3 version 2 Revised Published: 13 Sep 2024, 13:571 https://doi.org/10.12688/f1000research.150975.2 version 1 Published: 04 Jun 2024, 13:571 https://doi.org/10.12688/f1000research.150975.1 Copyright © 2025 Putra MA et al . This is an open access article distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Download Export To Sciwheel Bibtex EndNote ProCite Ref. Manager (RIS) Sente metrics Views Downloads F1000Research - - PubMed Central info_outline Data from PMC are received and updated monthly. - - Citations open_in_new 0 open_in_new 0 open_in_new SEE MORE DETAILS CITE how to cite this article Putra MA, Soebandrio A, Wibawan IWT et al. Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.12688/f1000research.150975.3 ) NOTE: If applicable, it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS track receive updates on this article Track an article to receive email alerts on any updates to this article. TRACK THIS ARTICLE Share Open Peer Review Current Reviewer Status: ? Key to Reviewer Statuses VIEW HIDE Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Version 2 VERSION 2 PUBLISHED 13 Sep 2024 Revised Views 0 Cite How to cite this report: Perlas A. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r333988 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-333988 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 27 Nov 2024 Albert Perlas , Helmholtz AI, Helmholtz Zentrum München, Helmholtz AI, 85764, Spain; Helmholtz Pioneer Campus, Helmholtz Zentrum Muenchen, Neuherberg, 85764, Germany Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.171635.r333988 The authors compared the molecular characteristics of a subtype H9N2 avian influenza virus strain isolated in 2023 with another strain isolated in 2017 from the same farm in Indonesia. They sequenced the HA segment of the 2023 strain after RT-PCR ... Continue reading READ ALL The authors compared the molecular characteristics of a subtype H9N2 avian influenza virus strain isolated in 2023 with another strain isolated in 2017 from the same farm in Indonesia. They sequenced the HA segment of the 2023 strain after RT-PCR amplification using Sanger sequencing. Based on these sequencing results, the authors performed phylogenetic analysis, molecular homology comparisons, and molecular docking analysis. The results revealed 11 amino acid residue differences between the two strains, confirmed that both strains belong to the H9.4.2.5 subclade, and suggested, through molecular docking, a preference of the 2023 strain for Neu5AC2-6Gal, which is more commonly found in mammalian species. Overall, the manuscript provides relevant information on the concerning H9N2 avian influenza subtype. However, the text is not consistently clear or well-organized, and improvements in these areas would enhance the quality of the work. Comments The authors should clarify the criteria used to include other H9N2 strains in the phylogenetic analysis, aside from the two isolates from the same farm in West Java I agree with Reviewer 1 that the authors should refer to the 'recent strain' by its correct influenza strain name, adhering to the proper nomenclature. Figure 1 could be moved to the supplementary material as it does not add critical information to the manuscript. Additionally, the authors should clarify how the percentage of similarity between strains, as shown in Table 2, was calculated. The discussion should address the potential role of other viral segments, beyond HA, in the adaptation of avian influenza to vaccination. The focus solely on HA sequencing represents a significant limitation of this work, which should be clearly acknowledged. It would be valuable to discuss the role of low-frequency variants in adaptation to vaccination, not just the consensus sequence data. This aspect is missing due to the sequencing technique employed and should be highlighted as a limitation. Another major limitation of the study is that it relies on samples from only one farm. To effectively analyze the adaptation potential of H9N2 strains to vaccination, a broader sampling strategy that includes multiple farms from the region would be necessary. If expanding the sample set is not feasible, this limitation should be explicitly discussed. The discussion section is currently written in a somewhat confusing manner. Some content belongs in the results section, while other parts would be more appropriate in the introduction. The discussion should be rewritten to reduce its length and focus on the main findings of the manuscript: Both strains belong to the same clade. Specific amino acid mutations, particularly in antigenic site. The preference of the 2023 strain for Neu5Ac2-6Gal. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests: No competing interests were disclosed. Reviewer Expertise: virology, avian influenza, genomics, animal health I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Perlas A. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r333988 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-333988 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Zanin M and Lei H. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r323384 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-323384 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 09 Oct 2024 Mark Zanin , The University of Hong Kong, Hong Kong SAR, China Hui Lei , Centre for Immunology & Infection, Hong Kong, Hong Kong Approved VIEWS 0 https://doi.org/10.5256/f1000research.171635.r323384 The authors have addressed the ... Continue reading READ ALL The authors have addressed the comments raised in the review. Competing Interests: No competing interests were disclosed. Reviewer Expertise: Influenza virus zoonosis and interspecies transmission We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Zanin M and Lei H. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r323384 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-323384 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Version 1 VERSION 1 PUBLISHED 04 Jun 2024 Views 0 Cite How to cite this report: Zanin M and Lei H. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303175 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303175 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 21 Aug 2024 Mark Zanin , The University of Hong Kong, Hong Kong SAR, China Hui Lei , Centre for Immunology & Infection, Hong Kong, Hong Kong Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.165593.r303175 The authors conducted this study to compare the molecular characteristics of avian influenza virus subtype H9N2 isolated from West Java in 2017 and 2023. They collected samples including brain, trachea, and oviduct pooled from deceased chickens and inoculated them into ... Continue reading READ ALL The authors conducted this study to compare the molecular characteristics of avian influenza virus subtype H9N2 isolated from West Java in 2017 and 2023. They collected samples including brain, trachea, and oviduct pooled from deceased chickens and inoculated them into specific pathogen-free embryonated chicken eggs for virus isolation. RNA extraction and RT-qPCR were used to confirm the presence of H9 and N2 genes in the samples. Sequences were obtained through RT-PCR and sanger sequencing from positive samples and the similarity of the recent isolates sequences were compared to reference isolates in Genbank through phylogenetic trees. They also compared the interactions of the recent isolates with the sialic acids Neu5Ac2-3Gal and Neu5Ac2-6Gal to that of the isolate A/Layer/Indonesia/WestJava-04/2017 (H9N2). They found that the recent virus exhibited 11 amino acid residue differences from A/Layer/Indonesia/WestJava-04/2017 (H9N2). Phylogenetically, the recent virus is also of the h9.4.2.5 subclade. The recent isolate had amino acid ‘N’ at position 183 at antigenic site II, which was different from A/Layer/Indonesia/WestJava-04/2017 (H9N2). Molecular docking analysis revealed a preference of HA1 from the 2017 virus for Neu5Ac2-3Gal, while the 2023 virus displayed a tendency to predominantly bind with Neu5Ac2-6Gal. These findings help to gain insights into the evolution of avian influenza virus subtype H9N2 in the region, necessary for understanding the potential risks associated with them. Overall the manuscript is well writted and well presented. MAJOR COMMENTS; No figure legends are included. The binding ability to sialic acids of the 2017 virus and 2023 virus were analyzed through molecular docking instead of direct experiment data. Conducting a receptor binding assay such as using analogues of different sialic acids will be more convincing. This should be noted as a limitation or a consideration in the discussion. Please use correct influenza strain name nomenclature, i.e., A/Layer/Indonesia/WestJava-04/2017 (H9N2). The authors should refer to the ‘recent isolate’ by its correct influenza strain name using correct nomenclature in the abstract and introduction after calling it the recent isolate as this is more informative. MINOR COMMENTS; Abstract “ Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, assessed the recent isolate’s similarity to reference isolates from GenBank.” Suggest revision to; “ Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, were applied to assess the recent isolate’s similarity to reference isolates from GenBank .” “The recent virus exhibited 11 amino acid residue differences compared to the A/Layer/Indonesia/WestJava-04/2017 isolate.” . please specify which gene is being referred to, or if this is the whole genome. Introduction There are 11 different subtypes of NA, please amend the second line of the introduction. “ facilitates the easy spread and mutation of AIVs ”. Recommend removing ‘easy’ from this sentence. Methods “ After five years of vaccination with a homologous vaccine at the farm, a decrease in production and bird mortality occurred in February 2023. ” The authors may wish to consider publication of these potentially interesting data in another manuscript if they haven’t already. In this manuscript, information RE the vaccine used and the administration regimens should be included. This could be included in the introduction or results. “ Samples consisting of brain, trachea, and oviduct organs pooled from deceased chickens ” More information would be helpful, perhaps in the results and/or as supplementary information. How many chickens? How many samples were tested and by which method? How did the chickens die? Were they symptomatic of influenza or other illnesses? Define the meaning of ‘pooled’ – were all organs from each chicken combined together in one sample or were different organs of the same type polled? How large is the farm in terms of numbers of chickens? “ Tissue was combined with sterile phosphate-buffered saline from ThermoFisher (28348) pH 7.4 containing antibiotics (200 g/ml penicillin and 100 g/ml streptomycin) and then centrifuged at 1,000 g and 4 °C for fifteen minutes. The remaining supernatant was filtered through a 0.45 m membrane filter and injected intra-allantoically into 9-day-old SPF ECEs. ” Recommend modification to read; “ Tissue was combined with sterile phosphate-buffered saline ( pH 7.4 ) from ThermoFisher (28348) containing antibiotics (200 g/ml penicillin and 100 g/ml streptomycin) and then centrifuged at 1,000 g and 4 °C for fifteen minutes. The remaining supernatant was filtered through a 0.45 μ m membrane filter and injected intra-allantoically into 9-day-old SPF egg s. ” How many samples were used to inoculate eggs? “ The allantoic fluid that was collected was further extracted using a total RNA mini kit reagent from Geneaid®, Taiwan (RPD050). ” Recommend modification to read; “RNA was further extracted from t he allantoic fluid that was collected using a total RNA mini kit reagent from Geneaid®, Taiwan (RPD050). ” Results “A positive result was determined when the Ct value was less than 40 and displayed an amplification curve resembling that of the positive control. Conversely, a negative result was determined if the Ct value was 45 or higher, and no amplification curve resembling the positive control was observed. The results with a Ct value between 40 and 45 were classified as indeterminate or dubious.” Perhaps this is too repetitive of the same information in the methods section? “The amino acid sequence at the cleavage site of the recent isolate is PSRSSR↓GLF, while the receptor binding site has the motif PWTNTLY (Table 1). Additionally, at position 217 on the left side of the receptor binding site (RBS), the recent isolate contained the amino acid M (methionine). It should be noted that this amino acid sequence is identical to A/Layer/Indonesia/WestJava-04/2017, which originated from the same farm. ” A bit more explanation of the significance of these would be useful. Discussion “In conclusion, this study investigated the molecular characteristics of avian influenza virus subtype H9N2 in Indonesia, focusing on a farm in West Java province from 2017 to 2023.” Is this correct? Was continued surveillance performed on this farm during this time period? If so, then these data should be included (such as numbers of samples collected, method of detection of influenza etc). Otherwise this sentence should be revised as it is a bit misleading. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? No source data required Are the conclusions drawn adequately supported by the results? Partly Competing Interests: No competing interests were disclosed. Reviewer Expertise: Influenza virus zoonosis and interspecies transmission We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Zanin M and Lei H. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303175 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303175 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Views 0 Cite How to cite this report: Adel A. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303169 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303169 NOTE: it is important to ensure the information in square brackets after the title is included in this citation. Close Copy Citation Details Reviewer Report 14 Aug 2024 Amany Adel , Animal Health Research Institute, Agriculture Research Center (ARC), Giza, Egypt Approved with Reservations VIEWS 0 https://doi.org/10.5256/f1000research.165593.r303169 Thanks for giving me the chance to review this paper. I think it is an important study that supposed to present updated situation for H9N2 viruses in Indonesia, and I believe that this kind of study is very important ... Continue reading READ ALL Thanks for giving me the chance to review this paper. I think it is an important study that supposed to present updated situation for H9N2 viruses in Indonesia, and I believe that this kind of study is very important and expressive to give an updated vision for the viruses around the world. Unfortunately, the study is not well developed and not well written, I think it needs to be more improved in writing and structuring. If you please take these notes in your consideration: 1- The paper needs to be re-written well, the discussion is too long and needs to be more concise and targeted. 2- The number of the collected samples are not clarified in the paper, also the epidemiological data is very leaked and does not represent the situation in Indonesia. 3- I have a confusion in the classification of H9 in your study; your classification is not compatible with classification in the study of Silvia Carnaccini and Daniel R. Perez, 2020 (H9 Influenza Viruses: An Emerging Challenge), although you cited this paper in your study. please take a look in this study again and give explanation for this conflict. Best wishes. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests: No competing interests were disclosed. Reviewer Expertise: virology, avian influenza, molecular diagnosis I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. Close READ LESS CITE CITE HOW TO CITE THIS REPORT Adel A. Reviewer Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303169 ) The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303169 NOTE: it is important to ensure the information in square brackets after the title is included in all citations of this article. COPY CITATION DETAILS Report a concern Respond or Comment COMMENT ON THIS REPORT Comments on this article Comments (0) Version 3 VERSION 3 PUBLISHED 04 Jun 2024 ADD YOUR COMMENT Comment keyboard_arrow_left keyboard_arrow_right Open Peer Review Reviewer Status info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Reviewer Reports Invited Reviewers 1 2 3 Version 3 (revision) 05 Mar 25 Version 2 (revision) 13 Sep 24 read read Version 1 04 Jun 24 read read Amany Adel , Animal Health Research Institute, Agriculture Research Center (ARC), Giza, Egypt Mark Zanin , The University of Hong Kong, Hong Kong SAR, China Hui Lei , Centre for Immunology & Infection, Hong Kong, Hong Kong Albert Perlas , Helmholtz Zentrum München, Helmholtz AI, Spain; Helmholtz Zentrum Muenchen, Neuherberg, Germany Comments on this article All Comments (0) Add a comment Sign up for content alerts Sign Up You are now signed up to receive this alert Browse by related subjects keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Perlas A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 27 Nov 2024 | for Version 2 Albert Perlas , Helmholtz AI, Helmholtz Zentrum München, Helmholtz AI, 85764, Spain; Helmholtz Pioneer Campus, Helmholtz Zentrum Muenchen, Neuherberg, 85764, Germany 0 Views copyright © 2024 Perlas A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors compared the molecular characteristics of a subtype H9N2 avian influenza virus strain isolated in 2023 with another strain isolated in 2017 from the same farm in Indonesia. They sequenced the HA segment of the 2023 strain after RT-PCR amplification using Sanger sequencing. Based on these sequencing results, the authors performed phylogenetic analysis, molecular homology comparisons, and molecular docking analysis. The results revealed 11 amino acid residue differences between the two strains, confirmed that both strains belong to the H9.4.2.5 subclade, and suggested, through molecular docking, a preference of the 2023 strain for Neu5AC2-6Gal, which is more commonly found in mammalian species. Overall, the manuscript provides relevant information on the concerning H9N2 avian influenza subtype. However, the text is not consistently clear or well-organized, and improvements in these areas would enhance the quality of the work. Comments The authors should clarify the criteria used to include other H9N2 strains in the phylogenetic analysis, aside from the two isolates from the same farm in West Java I agree with Reviewer 1 that the authors should refer to the 'recent strain' by its correct influenza strain name, adhering to the proper nomenclature. Figure 1 could be moved to the supplementary material as it does not add critical information to the manuscript. Additionally, the authors should clarify how the percentage of similarity between strains, as shown in Table 2, was calculated. The discussion should address the potential role of other viral segments, beyond HA, in the adaptation of avian influenza to vaccination. The focus solely on HA sequencing represents a significant limitation of this work, which should be clearly acknowledged. It would be valuable to discuss the role of low-frequency variants in adaptation to vaccination, not just the consensus sequence data. This aspect is missing due to the sequencing technique employed and should be highlighted as a limitation. Another major limitation of the study is that it relies on samples from only one farm. To effectively analyze the adaptation potential of H9N2 strains to vaccination, a broader sampling strategy that includes multiple farms from the region would be necessary. If expanding the sample set is not feasible, this limitation should be explicitly discussed. The discussion section is currently written in a somewhat confusing manner. Some content belongs in the results section, while other parts would be more appropriate in the introduction. The discussion should be rewritten to reduce its length and focus on the main findings of the manuscript: Both strains belong to the same clade. Specific amino acid mutations, particularly in antigenic site. The preference of the 2023 strain for Neu5Ac2-6Gal. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Yes Competing Interests No competing interests were disclosed. Reviewer Expertise virology, avian influenza, genomics, animal health I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (0) Perlas A. Peer Review Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r333988) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-333988 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Zanin M et al. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 09 Oct 2024 | for Version 2 Mark Zanin , The University of Hong Kong, Hong Kong SAR, China Hui Lei , Centre for Immunology & Infection, Hong Kong, Hong Kong 0 Views copyright © 2024 Zanin M et al. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors have addressed the comments raised in the review. Competing Interests No competing interests were disclosed. Reviewer Expertise Influenza virus zoonosis and interspecies transmission We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. reply Respond to this report Responses (0) Zanin M and Lei H. Peer Review Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.171635.r323384) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-571/v2#referee-response-323384 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Zanin M et al. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 21 Aug 2024 | for Version 1 Mark Zanin , The University of Hong Kong, Hong Kong SAR, China Hui Lei , Centre for Immunology & Infection, Hong Kong, Hong Kong 0 Views copyright © 2024 Zanin M et al. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions The authors conducted this study to compare the molecular characteristics of avian influenza virus subtype H9N2 isolated from West Java in 2017 and 2023. They collected samples including brain, trachea, and oviduct pooled from deceased chickens and inoculated them into specific pathogen-free embryonated chicken eggs for virus isolation. RNA extraction and RT-qPCR were used to confirm the presence of H9 and N2 genes in the samples. Sequences were obtained through RT-PCR and sanger sequencing from positive samples and the similarity of the recent isolates sequences were compared to reference isolates in Genbank through phylogenetic trees. They also compared the interactions of the recent isolates with the sialic acids Neu5Ac2-3Gal and Neu5Ac2-6Gal to that of the isolate A/Layer/Indonesia/WestJava-04/2017 (H9N2). They found that the recent virus exhibited 11 amino acid residue differences from A/Layer/Indonesia/WestJava-04/2017 (H9N2). Phylogenetically, the recent virus is also of the h9.4.2.5 subclade. The recent isolate had amino acid ‘N’ at position 183 at antigenic site II, which was different from A/Layer/Indonesia/WestJava-04/2017 (H9N2). Molecular docking analysis revealed a preference of HA1 from the 2017 virus for Neu5Ac2-3Gal, while the 2023 virus displayed a tendency to predominantly bind with Neu5Ac2-6Gal. These findings help to gain insights into the evolution of avian influenza virus subtype H9N2 in the region, necessary for understanding the potential risks associated with them. Overall the manuscript is well writted and well presented. MAJOR COMMENTS; No figure legends are included. The binding ability to sialic acids of the 2017 virus and 2023 virus were analyzed through molecular docking instead of direct experiment data. Conducting a receptor binding assay such as using analogues of different sialic acids will be more convincing. This should be noted as a limitation or a consideration in the discussion. Please use correct influenza strain name nomenclature, i.e., A/Layer/Indonesia/WestJava-04/2017 (H9N2). The authors should refer to the ‘recent isolate’ by its correct influenza strain name using correct nomenclature in the abstract and introduction after calling it the recent isolate as this is more informative. MINOR COMMENTS; Abstract “ Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, assessed the recent isolate’s similarity to reference isolates from GenBank.” Suggest revision to; “ Homology comparison and phylogenetic tree analysis, utilizing the neighbor-joining tree method, were applied to assess the recent isolate’s similarity to reference isolates from GenBank .” “The recent virus exhibited 11 amino acid residue differences compared to the A/Layer/Indonesia/WestJava-04/2017 isolate.” . please specify which gene is being referred to, or if this is the whole genome. Introduction There are 11 different subtypes of NA, please amend the second line of the introduction. “ facilitates the easy spread and mutation of AIVs ”. Recommend removing ‘easy’ from this sentence. Methods “ After five years of vaccination with a homologous vaccine at the farm, a decrease in production and bird mortality occurred in February 2023. ” The authors may wish to consider publication of these potentially interesting data in another manuscript if they haven’t already. In this manuscript, information RE the vaccine used and the administration regimens should be included. This could be included in the introduction or results. “ Samples consisting of brain, trachea, and oviduct organs pooled from deceased chickens ” More information would be helpful, perhaps in the results and/or as supplementary information. How many chickens? How many samples were tested and by which method? How did the chickens die? Were they symptomatic of influenza or other illnesses? Define the meaning of ‘pooled’ – were all organs from each chicken combined together in one sample or were different organs of the same type polled? How large is the farm in terms of numbers of chickens? “ Tissue was combined with sterile phosphate-buffered saline from ThermoFisher (28348) pH 7.4 containing antibiotics (200 g/ml penicillin and 100 g/ml streptomycin) and then centrifuged at 1,000 g and 4 °C for fifteen minutes. The remaining supernatant was filtered through a 0.45 m membrane filter and injected intra-allantoically into 9-day-old SPF ECEs. ” Recommend modification to read; “ Tissue was combined with sterile phosphate-buffered saline ( pH 7.4 ) from ThermoFisher (28348) containing antibiotics (200 g/ml penicillin and 100 g/ml streptomycin) and then centrifuged at 1,000 g and 4 °C for fifteen minutes. The remaining supernatant was filtered through a 0.45 μ m membrane filter and injected intra-allantoically into 9-day-old SPF egg s. ” How many samples were used to inoculate eggs? “ The allantoic fluid that was collected was further extracted using a total RNA mini kit reagent from Geneaid®, Taiwan (RPD050). ” Recommend modification to read; “RNA was further extracted from t he allantoic fluid that was collected using a total RNA mini kit reagent from Geneaid®, Taiwan (RPD050). ” Results “A positive result was determined when the Ct value was less than 40 and displayed an amplification curve resembling that of the positive control. Conversely, a negative result was determined if the Ct value was 45 or higher, and no amplification curve resembling the positive control was observed. The results with a Ct value between 40 and 45 were classified as indeterminate or dubious.” Perhaps this is too repetitive of the same information in the methods section? “The amino acid sequence at the cleavage site of the recent isolate is PSRSSR↓GLF, while the receptor binding site has the motif PWTNTLY (Table 1). Additionally, at position 217 on the left side of the receptor binding site (RBS), the recent isolate contained the amino acid M (methionine). It should be noted that this amino acid sequence is identical to A/Layer/Indonesia/WestJava-04/2017, which originated from the same farm. ” A bit more explanation of the significance of these would be useful. Discussion “In conclusion, this study investigated the molecular characteristics of avian influenza virus subtype H9N2 in Indonesia, focusing on a farm in West Java province from 2017 to 2023.” Is this correct? Was continued surveillance performed on this farm during this time period? If so, then these data should be included (such as numbers of samples collected, method of detection of influenza etc). Otherwise this sentence should be revised as it is a bit misleading. Is the work clearly and accurately presented and does it cite the current literature? Yes Is the study design appropriate and is the work technically sound? Yes Are sufficient details of methods and analysis provided to allow replication by others? Yes If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? No source data required Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. Reviewer Expertise Influenza virus zoonosis and interspecies transmission We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above. reply Respond to this report Responses (0) Zanin M and Lei H. Peer Review Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303175) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303175 keyboard_arrow_left Back to all reports Reviewer Report 0 Views copyright © 2024 Adel A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. 14 Aug 2024 | for Version 1 Amany Adel , Animal Health Research Institute, Agriculture Research Center (ARC), Giza, Egypt 0 Views copyright © 2024 Adel A. This is an open access peer review report distributed under the terms of the Creative Commons Attribution License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. format_quote Cite this report speaker_notes Responses (0) Approved With Reservations info_outline Alongside their report, reviewers assign a status to the article: Approved The paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved Fundamental flaws in the paper seriously undermine the findings and conclusions Thanks for giving me the chance to review this paper. I think it is an important study that supposed to present updated situation for H9N2 viruses in Indonesia, and I believe that this kind of study is very important and expressive to give an updated vision for the viruses around the world. Unfortunately, the study is not well developed and not well written, I think it needs to be more improved in writing and structuring. If you please take these notes in your consideration: 1- The paper needs to be re-written well, the discussion is too long and needs to be more concise and targeted. 2- The number of the collected samples are not clarified in the paper, also the epidemiological data is very leaked and does not represent the situation in Indonesia. 3- I have a confusion in the classification of H9 in your study; your classification is not compatible with classification in the study of Silvia Carnaccini and Daniel R. Perez, 2020 (H9 Influenza Viruses: An Emerging Challenge), although you cited this paper in your study. please take a look in this study again and give explanation for this conflict. Best wishes. Is the work clearly and accurately presented and does it cite the current literature? Partly Is the study design appropriate and is the work technically sound? Partly Are sufficient details of methods and analysis provided to allow replication by others? Partly If applicable, is the statistical analysis and its interpretation appropriate? Not applicable Are all the source data underlying the results available to ensure full reproducibility? Yes Are the conclusions drawn adequately supported by the results? Partly Competing Interests No competing interests were disclosed. Reviewer Expertise virology, avian influenza, molecular diagnosis I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above. reply Respond to this report Responses (0) Adel A. Peer Review Report For: Analyzing Molecular Traits of H9N2 Avian Influenza Virus Isolated from a Same Poultry Farm in West Java Province, Indonesia, in 2017 and 2023 [version 3; peer review: 1 approved, 2 approved with reservations] . F1000Research 2025, 13 :571 ( https://doi.org/10.5256/f1000research.165593.r303169) NOTE: it is important to ensure the information in square brackets after the title is included in this citation. The direct URL for this report is: https://f1000research.com/articles/13-571/v1#referee-response-303169 Alongside their report, reviewers assign a status to the article: Approved - the paper is scientifically sound in its current form and only minor, if any, improvements are suggested Approved with reservations - A number of small changes, sometimes more significant revisions are required to address specific details and improve the papers academic merit. Not approved - fundamental flaws in the paper seriously undermine the findings and conclusions Adjust parameters to alter display View on desktop for interactive features Includes Interactive Elements View on desktop for interactive features Competing Interests Policy Provide sufficient details of any financial or non-financial competing interests to enable users to assess whether your comments might lead a reasonable person to question your impartiality. 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