Holly Shelton

Graphical Analysis of H9N2 lineages shows G57 virus replicates, spreads and transmits more efficiently than G1‑B, driven by their gene constellations, enhanced neuraminidase activity, sulphated avian receptor binding and acid‑stable haemagglutinin.

Avian influenza H9N2 viruses cause significant economic losses to the poultry industry and pose a public health risk due to their potential to reassort with other avian influenza viruses, generating strains with zoonotic and pandemic potential. Two major H9N2 lineages dominate globally: the G1 lineage (genotype G1-B), prevalent in the Middle East, Africa and the Indian subcontinent, and the BJ/94 lineage (predominantly genotype G57), dominant in China, Vietnam, South Korea, Indonesia, and the Far East. We investigated replication, transmission, and pathogenicity of representatives of these two lineages, linking genotype to phenotype. The G57 strain A/Ck/Vietnam/H7F-14-BN4-315/2014 (Vietnam/315) was more lethal to chicken embryos than the G1-B strain A/chicken/Pakistan/UDL-01/2008 (Pakistan/UDL-01). Vietnam/315 exhibited higher replication in both directly infected and contact chickens, with increased virus shedding from the oropharynx and cloaca. In contrast, Pakistan/UDL-01 virus was primarily shed from the oropharynx, highlighting differences in replication, tissue tropism and transmission. Gene analysis showed the M gene of Vietnam/315 enhanced replication in primary chicken kidney cells, whereas the PB2, HA, NA, and M genes promoted increased replication in Madin-Darby Canine Kidney cells. Both viruses showed preferential binding to avian-like receptors over human-like receptors. However, Vietnam/315, however, exhibited higher neuraminidase activity and a more acid-stable HA (pH fusion 5.2) than Pakistan/UDL-01 virus. These findings suggest G57 genotype viruses possess greater replication and transmission fitness than G1-B viruses in vivo , ex vivo and in vitro . Reassortment events involving G1-B strains acquiring G57 genes may enhance replication and virulence, potentially increasing the risk of animal and human infection. Importance: H9N2 avian influenza viruses are widespread in poultry, resulting in significant economic losses and occasional human infections. Different genetic variants dominate in various regions, but their ability to cause disease and spread in poultry remains unclear. These viruses can exchange genes with other avian influenza strains, altering their infectivity and transmission. This study compared two major H9N2 genotypes: G1-B (common in the Indian subcontinent and the Middle East) and G57 (dominant in China and Vietnam). The G57 virus showed higher replication in laboratory tests and infected chickens, shedding more virus through the orofecal route. It also exhibited a stronger attachment to bird cells and had a more acid-stable HA, suggesting an increased potential for infection and spread. Our findings indicate that G57 genotype viruses are more infectious and adaptable in poultry than G1 viruses. Gene exchange with other avian influenza strains may generate more virulent viruses with increased transmission potential. This study supports the risk assessment of emerging strains and enhances disease mitigation strategies.

Chickens genetically resistant to avian influenza could prevent future outbreaks. In chickens, influenza A virus (IAV) relies on host protein ANP32A. Here we use CRISPR/Cas9 to generate homozygous gene edited (GE) chickens containing two ANP32A amino acid substitutions that prevent viral polymerase interaction. After IAV challenge, 9/10 edited chickens remain uninfected. Challenge with a higher dose, however, led to breakthrough infections. Breakthrough IAV virus contained IAV polymerase gene mutations that conferred adaptation to the edited chicken ANP32A. Unexpectedly, this virus also replicated in chicken embryos edited to remove the entire ANP32A gene and instead co-opted alternative ANP32 protein family members, chicken ANP32B and ANP32E. Additional genome editing for removal of ANP32B and ANP32E eliminated all viral growth in chicken cells. Our data illustrate a first proof of concept step to generate IAV-resistant chickens and show that multiple genetic modifications will be required to curtail viral escape.

Background: Non-targeted whole genome sequencing is a powerful tool to comprehensively identify constituents of microbial communities in a sample. There is no need to direct the analysis to any identification before sequencing which can decrease the introduction of bias and false negatives results. It also allows the assessment of genetic aberrations in the genome (e.g., single nucleotide variants, deletions, insertions and copy number variants) including in noncoding protein regions. Methods: The performance of four different random priming amplification methods to recover RNA viral genetic material of SARS-CoV-2 were compared in this study. In method 1 (H-P) the reverse transcriptase (RT) step was performed with random hexamers whereas in methods 2–4 RT incorporating an octamer primer with a known tag. In methods 1 and 2 (K-P) sequencing was applied on material derived from the RT-PCR step, whereas in methods 3 (SISPA) and 4 (S-P) an additional amplification was incorporated before sequencing. Results: The SISPA method was the most effective and efficient method for non-targeted/random priming whole genome sequencing of SARS-CoV-2 that we tested. The SISPA method described in this study allowed for whole genome assembly of SARS-CoV-2 and influenza A(H1N1)pdm09 in mixed samples. We determined the limit of detection and characterization of SARS-CoV-2 virus which was 10³ pfu/ml (Ct, 22.4) for whole genome assembly and 10¹ pfu/ml (Ct, 30) for metagenomics detection. Conclusions: The SISPA method is predominantly useful for obtaining genome sequences from RNA viruses or investigating complex clinical samples as no prior sequence information is needed. It might be applied to monitor genomic virus changes, virus evolution and can be used for fast metagenomics detection or to assess the general picture of different pathogens within the sample.

We evaluated the consequences of reassortment between the H7N9 and the contemporary H9N2 viruses of the G1 lineage that are enzootic in poultry across the Indian subcontinent and the Middle East. Coinfection of chickens with these viruses resulted in the emergence of novel reassortant H9N9 viruses with genes derived from both H9N2 and H7N9 viruses.

Background: A commensal microbiota regulates and is in turn regulated by viruses during host infection which can influence virus infectivity. In this study, analysis of colon microbiota population changes following a low pathogenicity avian influenza virus (AIV) of the H9N2 subtype infection of two different chicken breeds was conducted. Methods: Colon samples were taken from control and infected groups at various timepoints post infection. 16S rRNA sequencing on an Illumina MiSeq platform was performed on the samples and the data mapped to operational taxonomic units of bacterial using a QIIME based pipeline. Microbial community structure was then analysed in each sample by number of observed species and phylogenetic diversity of the population. Results: We found reduced microbiota alpha diversity in the acute period of AIV infection (day 2–3) in both Rhode Island Red and VALO chicken lines. From day 4 post infection a gradual increase in diversity of the colon microbiota was observed, but the diversity did not reach the same level as in uninfected chickens by day 10 post infection, suggesting that AIV infection retards the natural accumulation of colon microbiota diversity, which may further influence chicken health following recovery from infection. Beta diversity analysis indicated a bacterial species diversity difference between the chicken lines during and following acute influenza infection but at phylum and bacterial order level the colon microbiota dysbiosis was similar in the two different chicken breeds. Conclusion: Our data suggest that H9N2 influenza A virus impacts the chicken colon microbiota in a predictable way that could be targeted via intervention to protect or mitigate disease.

Background: Non-targeted whole genome sequencing is a powerful tool to comprehensively identify constituents of microbial communities in a sample. There is no need to direct the analysis to any identification before sequencing which can decrease the introduction of bias and false negatives results. It also allows the assessment of genetic aberrations in the genome (e.g., single nucleotide variants, deletions, insertions and copy number variants) including in noncoding protein regions. Methods: The performance of four different random priming amplification methods to recover RNA viral genetic material of SARS-CoV-2 were compared in this study. In method 1 (H-P) the reverse transcriptase (RT) step was performed with random hexamers whereas in methods 2-4 RT incorporating an octamer primer with a known tag. In methods 1 and 2 (K-P) sequencing was applied on material derived from the RT-PCR step, whereas in methods 3 (SISPA) and 4 (S-P) an additional amplification was incorporated before sequencing. Results: The SISPA method was the most effective and efficient method for non-targeted/random priming whole genome sequencing of COVID that we tested. The SISPA method described in this study allowed for whole genome assembly of SARS-CoV-2 and influenza A(H1N1)pdm09 in mixed samples. We determined the limit of detection and characterization of SARS-CoV-2 virus which was 10 ³ pfu/ml (Ct, 22.4) for whole genome assembly and 10 ¹ pfu/ml (Ct, 30) for metagenomics detection. Conclusions: The SISPA method is predominantly useful for obtaining genome sequences from RNA viruses or investigating complex clinical samples as no prior sequence information is needed. It might be applied to monitor genomic virus changes, virus evolution and can be used for fast metagenomics detection or to assess the general picture of different pathogens within the sample.

SUMMARY: An H7N9 low pathogenicity avian influenza virus (LPAIV) emerged through genetic reassortment between H9N2 and other LPAIVs circulating in birds in China. This virus causes inapparent clinical disease in chickens, but zoonotic transmission results in severe and fatal disease in humans. We evaluated the consequences of reassortment between the H7N9 and the contemporary H9N2 viruses of G1 lineage that are enzootic in poultry across the Indian sub-continent and the Middle East. Co-infection of chickens with these viruses resulted in emergence of novel reassortant H9N9 viruses carrying genes derived from both H9N2 and H7N9 viruses. These reassortant H9N9 viruses showed significantly increased replication fitness, enhanced pathogenicity in chicken embryos and the potential to transmit via contact among ferrets. Our study highlights that the co-circulation of H7N9 and H9N2 viruses could represent a threat for the generation of novel reassortant viruses with greater virulence in poultry and an increased zoonotic potential. Graphical Abstract In Brief: H9N2 viruses have a high propensity to reassort with other avian influenza viruses. We found that co-infection of chickens with H9N2 and H7N9 led to the emergence of reassortant viruses including the H9N9 subtype. Some reassortant H9N9 viruses exhibited increased replication fitness, increased pathogenicity in the chicken embryo, greater avidity for human and avian cell receptors, lower pH fusion and contact-transmission to ferrets. This study demonstrated the ability of viruses that already exist in nature to exchange genetic material, highlighting the potential emergence of viruses from these subtypes with increased zoonotic potential. There are nine H9 influenza A subtypes carrying different neuraminidase (NA) genes, including H9N9 viruses, while they are not common they do exist in nature as wildtypes (CDC). Highlights: Co-infection of chickens with H7N9 and H9N2 led to emergence of reassortant H9N9 viruses Reassortant H9N9 viruses had an increased replication rate in avian and human cells Reassortant H9N9 viruses had a lower pH fusion and significantly higher receptor binding to α 2,3 sialoglycans Reassortant H9N9 replicated in ferrets at similar levels compared to H7N9 and transmitted via direct contact Ferrets exposed to reassortant H9N9 by aerosol contact were also found to be seropositive Experimental simulation of events that may occur naturally with circulating viruses has demonstrated the risk of emergence of viruses with increased zoonotic potential.

A commensal microbiome regulates and is in turn regulated by viruses during host infection which can influence virus infectivity. In this study, analysis of colon microbiome population changes following a low pathogenicity avian influenza virus (AIV) of the H9N2 subtype infection of two different chicken breeds was conducted. Using 16S rRNA sequencing and subsequent data analysis we found reduced microbiome alpha diversity in the acute period of AIV infection (day 2-3) in both Rhode Island Red and VALO chicken lines. From day 4 post infection a gradual increase in diversity of the colon microbiome was observed, but the diversity did not reach the same level as in uninfected chickens by day 10 post infection, suggesting that AIV infection retards the natural accumulation of colon microbiome diversity, which may further influence chicken health following recovery from infection. Beta diversity analysis indicated differences in diversity between the chicken lines during and following acute influenza infection suggesting the impact of host gut microflora dysbiosis following H9N2 influenza virus infection could differ for different breeds.