Molecular characterization of infectious bronchitis virus based on RNA-dependent RNA polymerase gene

The GI-19 dominant genotype of infectious bronchitis virus in chickens from 2021 to 2023 in Sichuan province is frequently involved in recombination events

Infectious bronchitis virus (IBV), the etiological agent of infectious bronchitis (IB) in chickens, is a highly contagious respiratory disease that poses significant economic burdens on the global poultry industry. Comprehensive knowledge of the epidemiological patterns and genetic variations of IBV is crucial for effective prevention and control strategies. In this study, we collected 684 suspected samples from Sichuan province between 2021 and 2023. PCR testing revealed a total positivity rate of 26.9 %, with the Guangyuan region exhibiting the highest positivity rate at 37.2 %. Subsequently, we obtained 21 complete IBV S1 gene sequences and the phylogenetic analysis identified the GI-19 type as the predominant strain. Comparing nucleic acid similarity among the 21 isolated strains, we observed a range of 66.48 %-99.69 % nucleotide similarity (56.22 %-99.45 % in amino acids). The QXL87 vaccine strain exhibited higher similarity to the isolated strains. Amino acid variations in the three hypervariable regions (HVRs) showed the highest variability in HVR I. The GVI type strain differed in amino acid composition from QXL87 in HVR I, resulting in reduced N-glycosylation sites on the S1 gene. Furthermore, all isolated strains displayed varying reductions in N-glycosylation sites on the S1 gene compared to the QXL87 vaccine strain. Ultimately, recombination analysis revealed frequent involvement of the GI-19 and GI-22 strains in gene recombination. The majority of recombined strains were derived from partial segments of the GI-19 strain, with no recombination observed in any of the isolated GI-19 strains. In summary, our findings elucidate the prevalence of IBV in Sichuan province and highlight the pivotal role of the GI-19 strain in IBV recombination, thereby offering valuable data support for IBV control.

Metatranscriptomic data mining together with microfluidic card uncovered the potential pathogens and seasonal RNA viral ecology in a drinking water source

AIMS

Despite metatranscriptomics becoming an emerging tool for pathogen surveillance, very little is known about the feasibility of this approach for understanding the fate of human-derived pathogens in drinking water sources.

METHODS AND RESULTS

We conducted multiplexed microfluidic cards and metatranscriptomic sequencing of the drinking water source in a border city of North Korea in four seasons. Microfluidic card detected norovirus, hepatitis B virus (HBV), enterovirus, and Vibrio cholerae in the water. Phylogenetic analyses showed that environmental-derived sequences from norovirus GII.17, genotype C of HBV, and coxsackievirus A6 (CA6) were genetically related to the local clinical isolates. Meanwhile, metatranscriptomic assembly suggested that several bacterial pathogens, including Acinetobacter johnsonii and V. cholerae might be prevalent in the studied region. Metatranscriptomic analysis recovered 349 species-level groups with substantial viral diversity without detection of norovirus, HBV, and CA6. Seasonally distinct virus communities were also found. Specifically, 126, 73, 126, and 457 types of viruses were identified in spring, summer, autumn, and winter, respectively. The viromes were dominated by the Pisuviricota phylum, including members from Marnaviridae, Dicistroviridae, Luteoviridae, Potyviridae, Picornaviridae, Astroviridae, and Picobirnaviridae families. Further phylogenetic analyses of RNA (Ribonucleic Acid)-dependent RNA polymerase (RdRp) sequences showed a diverse set of picorna-like viruses associated with shellfish, of which several novel picorna-like viruses were also identified. Additionally, potential animal pathogens, including infectious bronchitis virus, Bat dicibavirus, Bat nodavirus, Bat picornavirus 2, infectious bursal disease virus, and Macrobrachium rosenbergii nodavirus were also identified.

CONCLUSIONS

Our data illustrate the divergence between microfluidic cards and metatranscriptomics, highlighting that the combination of both methods facilitates the source tracking of human viruses in challenging settings without sufficient clinical surveillance.

Molecular Characterization of Complete Genome Sequence of an Avian Coronavirus Identified in a Backyard Chicken from Tanzania

A complete genome sequence of an avian coronavirus (AvCoV; 27,663 bp excluding 3' poly(A) tail) was determined using nontargeted next-generation sequencing (NGS) of an oropharyngeal swab from a backyard chicken in a live bird market in Arusha, Tanzania. The open reading frames (ORFs) of the Tanzanian strain TZ/CA127/19 are organized as typical of gammaCoVs (Coronaviridae family): 5'UTR-[ORFs 1a/1b encoding replicase complex (Rep1ab) non-structural peptides nsp2-16]-[spike (S) protein]-[ORFs 3a/3b]-[small envelop (E) protein]-[membrane (M) protein]-[ORFs 4a/4c]-[ORFs 5a/5b]-[nucleocapsid (N) protein]-[ORF6b]-3'UTR. The structural (S, E, M and N) and Rep1ab proteins of TZ/CA127/19 contain features typically conserved in AvCoVs, including the cleavage sites and functional motifs in Rep1ab and S. Its genome backbone (non-spike region) is closest to Asian GI-7 and GI-19 infectious bronchitis viruses (IBVs) with 87.2-89.7% nucleotide (nt) identities, but it has a S gene closest (98.9% nt identity) to the recombinant strain ck/CN/ahysx-1/16. Its 3a, 3b E and 4c sequences are closest to the duck CoV strain DK/GD/27/14 at 99.43%, 100%, 99.65% and 99.38% nt identities, respectively. Whereas its S gene phylogenetically cluster with North American TCoVs and French guineafowl COVs, all other viral genes group monophyletically with Eurasian GI-7/GI-19 IBVs and Chinese recombinant AvCoVs. Detection of a 4445 nt-long recombinant fragment with breakpoints at positions 19,961 and 24,405 (C- and N-terminus of nsp16 and E, respectively) strongly suggested that TZ/CA127/19 acquired its genome backbone from an LX4-type (GI-19) field strain via recombination with an unknown AvCoV. This is the first report of AvCoV in Tanzania and leaves unanswered the questions of its emergence and the biological significance.