| Literature DB >> 33920551 |
Marina Gulyaeva1,2, Maria Alessandra De Marco3, Ganna Kovalenko4, Eric Bortz4, Tatiana Murashkina1, Kseniya Yurchenko1, Marzia Facchini5, Mauro Delogu6, Ivan Sobolev1, Alimurad Gadzhiev7, Kirill Sharshov1, Alexander Shestopalov1.
Abstract
Avian influenza viruses (AIVs) are maintained in wild bird reservoirs, particularly in mallard ducks and other waterfowl. Novel evolutionary lineages of AIV that arise through genetic drift or reassortment can spread with wild bird migrations to new regions, infect a wide variety of resident bird species, and spillover to domestic poultry. The vast continental reservoir of AIVs in Eurasia harbors a wide diversity of influenza subtypes, including both highly pathogenic (HP) and low pathogenic (LP) H7 AIV. The Caspian Sea region is positioned at the intersection of major migratory flyways connecting Central Asia, Europe, the Black and Mediterranean Sea regions and Africa and holds a rich wetland and avian ecology. To understand genetic reservoirs present in the Caspian Sea region, we collected 559 cloacal swabs from Anseriformes and other species during the annual autumn migration periods in 2017 and 2018. We isolated two novel H7N3 LPAIV from mallard ducks whose H7 hemagglutinin (HA) gene was phylogenetically related to contemporaneous strains from distant Mongolia, and more closely Georgia and Ukraine, and predated the spread of this H7 LPAIV sublineage into East Asia in 2019. The N3 neuraminidase gene and internal genes were prototypical of AIV widely dispersed in wild bird reservoirs sampled along flyways connected to the Caspian region. The polymerase and nucleoprotein segments clustered with contemporaneous H5 HPAI (clade 2.3.4.4b) isolates, suggesting the wide dispersal of H7 LPAIV and the potential of this subtype for reassortment. These findings highlight the need for deeper surveillance of AIV in wild birds to better understand the extent of infection spread and evolution along spatial and temporal flyways in Eurasia.Entities:
Keywords: Caspian region; H7N3; avian influenza virus; wild waterfowl
Year: 2021 PMID: 33920551 PMCID: PMC8072542 DOI: 10.3390/microorganisms9040864
Source DB: PubMed Journal: Microorganisms ISSN: 2076-2607
The substitution models used in the molecular phylogenetic analyses by the maximum likelihood (ML) method.
| No | Segment | Best-Fit Model of Substitution According to BIC | Input Data |
|---|---|---|---|
| 1 | PB2 | GTR + F + G4 | 131 sequences with 2280 nt sites |
| 2 | PB1 | TIM + F + I + G4 | 136 sequences with 2274 nt sites |
| 3 | PA | TVM + F + G4 | 119 sequences with 2151 nt sites |
| 4 | HA | TVM + F + G4 | 104 sequences with 1683 nt sites |
| 5 | NP | K3Pu + F + R2 | 105 sequences with 1497 nt sites |
| 6 | NA | TIM + F + I + G4 | 116 sequences with 1410 nt sites |
| 7 | MP | TIMe + I + G4 | 119 sequences with 982 nt sites |
| 8 | NS | HKY + F + R2 | 112 sequences with 838 nt sites |
Figure A1Time-scaled Bayesian maximum clade credibility analysis of H7 HA gene segment from novel H7N3 AIV isolated in Dagestan, Russia. A time-scaled MCC tree was constructed using Bayesian coalescence analysis in BEAST with a reference set of 241 H7 sequences as described in the methods section. Time and geographic origin of AIV genes are indicated by colors. Well-supported posterior probabilities (>0.65) of the nodes are indicated by circles. The size of the circles is proportional to the inferred posterior probabilities.