Enzootic Circulation, Massive Gull Mortality and Poultry Outbreaks during the 2022/2023 High-Pathogenicity Avian Influenza H5N1 Season in the Czech Republic
Jazyk angličtina Země Švýcarsko Médium electronic
Typ dokumentu časopisecké články
PubMed
38399998
PubMed Central
PMC10892573
DOI
10.3390/v16020221
PII: v16020221
Knihovny.cz E-zdroje
- Klíčová slova
- AB, AF, BB, CH, H5N1, HPAI, avian influenza, genotype, high-pathogenicity avian influenza, influenza in gulls, outbreak, poultry,
- MeSH
- Charadriiformes * MeSH
- drůbež MeSH
- epidemický výskyt choroby veterinární MeSH
- fylogeneze MeSH
- nemoci drůbeže * epidemiologie MeSH
- ptačí chřipka u ptáků * epidemiologie MeSH
- ptáci MeSH
- roční období MeSH
- virulence MeSH
- virus chřipky A, podtyp H5N1 * genetika MeSH
- zvířata MeSH
- Check Tag
- zvířata MeSH
- Publikační typ
- časopisecké články MeSH
- Geografické názvy
- Česká republika epidemiologie MeSH
In 2022/2023, Europe experienced its third consecutive season of high-pathogenicity avian influenza. During this period, the Czech Republic was again severely affected. For the first time, the number of culled birds approached one million, which was three times higher than in previous seasons. In parallel to the outbreaks in poultry, mass die-offs of gulls were also observed. In the present study, we performed whole-genome sequencing and phylogenetic analysis of 137 H5N1 strains collected in the Czech Republic in 2022/2023 (94.6% of all outbreaks or locations). The analysis revealed four distinct genotypes: AB, CH, BB and AF. Phylogenetic analysis suggested that the AF genotype persisted from the previous H5N1 season without reassortment. In addition, the genotype BB, which was detected mainly in gulls, showed a noticeable strain diversity at the local level. This virus was also responsible for a single outbreak in commercially bred turkeys. Finally, an interesting spatio-temporal cluster with three co-circulating H5N1 genotypes, AB, CH and AF, was identified with no evidence of intrasubtype reassortment. Highly sensitive molecular surveillance and the timely sharing of genomic sequences and associated metadata could greatly assist in tracking the spread and detecting molecular changes associated with the increased virulence of this potentially zoonotic pathogen.
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