Next Article in Journal
Efficacy and Durability of Dolutegravir- or Darunavir-Based Regimens in ART-Naïve AIDS- or Late-Presenting HIV-Infected Patients
Next Article in Special Issue
Detection of H5N1 High Pathogenicity Avian Influenza Viruses in Four Raptors and Two Geese in Japan in the Fall of 2022
Previous Article in Journal
Development of a Multi-Epitope Universal mRNA Vaccine Candidate for Monkeypox, Smallpox, and Vaccinia Viruses: Design and In Silico Analyses
Previous Article in Special Issue
Treatment with Toll-like Receptor (TLR) Ligands 3 and 21 Prevents Fecal Contact Transmission of Low Pathogenic H9N2 Avian Influenza Virus (AIV) in Chickens
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Does Avian Coronavirus Co-Circulate with Avian Paramyxovirus and Avian Influenza Virus in Wild Ducks in Siberia?

1
Federal Research Center of Fundamental and Translational Medicine, Novosibirsk 630117, Russia
2
Faculty of Natural Sciences, Novosibirsk State University, Novosibirsk 630073, Russia
3
Institute of Animal Systematics and Ecology, Novosibirsk 630091, Russia
4
Institute of Biological Problems of the North, Magadan 685000, Russia
5
School of Life Sciences, East China Normal University, Shanghai 200062, China
6
Center for Influenza Research and Early-warning (CASCIRE), CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing 100101, China
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
Viruses 2023, 15(5), 1121; https://doi.org/10.3390/v15051121
Submission received: 9 April 2023 / Revised: 4 May 2023 / Accepted: 5 May 2023 / Published: 7 May 2023
(This article belongs to the Special Issue Avian Respiratory Viruses, Volume III)

Abstract

:
Avian coronaviruses (ACoV) have been shown to be highly prevalent in wild bird populations. More work on avian coronavirus detection and diversity estimation is needed for the breeding territories of migrating birds, where the high diversity and high prevalence of Orthomyxoviridae and Paramyxoviridae have already been shown in wild birds. In order to detect ACoV RNA, we conducted PCR diagnostics of cloacal swab samples from birds, which we monitored during avian influenza A virus surveillance activities. Samples from two distant Asian regions of Russia (Sakhalin region and Novosibirsk region) were tested. Amplified fragments of the RNA-dependent RNA-polymerase (RdRp) of positive samples were partially sequenced to determine the species of Coronaviridae represented. The study revealed a high presence of ACoV among wild birds in Russia. Moreover, there was a high presence of birds co-infected with avian coronavirus, avian influenza virus, and avian paramyxovirus. We found one case of triple co-infection in a Northern Pintail (Anas acuta). Phylogenetic analysis revealed the circulation of a Gammacoronavirus species. A Deltacoronavirus species was not detected, which supports the data regarding the low prevalence of deltacoronaviruses among surveyed bird species.

1. Introduction

Avian coronaviruses are a non-taxonomic group of single-stranded (+) RNA viruses that infect wild and domestic birds. Avian coronaviruses are species of the Coronaviridae family, the Orthocoronavirinae subfamily of two genera (Gammacoronavirus and Deltacoronavirus). Based on International Committee on Taxonomy of Viruses (ICTV) reports, the Gammacoronavirus genus includes five species: Goose coronavirus CB17 (Brangacovirus subgenus), Beluga whale coronavirus SW1 (Cegacovirus subgenus), Avian coronavirus, Avian coronavirus 9203, and Duck coronavirus 2714 (Igacovirus subgenus). The deltacoronaviruses include seven species: Wigeon coronavirus HKU20 (Andecovirus subgenus), Bulbul coronavirus HKU11, Common Moorhen coronavirus HKU21, Coronavirus HKU15, Munia coronavirus HKU13, White-eye coronavirus HKU16 (Buldecovirus subgenus), and Night Heron coronavirus HKU19 (Herdecovirus subgenus) [1]. The variants of gamma- and deltacoronaviruses can infect not only birds, but pigs and whales as well [2,3]. Alpha- and betacoronaviruses are also known to infect bats, rodents, and humans, and SARS-CoV-2 (a Betacoronavirus species) is the virus that caused the recent and ongoing pandemic of COVID-19.
The genome of Coronaviridae species has a length between 27,317 and 31,357 nucleotides. Viral genomic RNA encodes ORF1a and ORF1b (translated to pp1a and pp1b), while the last third part of the RNA encodes a follow structural proteins spike (S), membrane (M), envelope (E), and nucleocapsid (N) [4].
Wild waterfowl are considered to be reservoirs of gammacoronaviruses. Most reported cases of this genus in wild birds have been asymptomatic, whereas Coronaviridae species are associated with mass die-offs among wild birds [5]. However, farmed poultry is endangered by Gammacoronavirus species (infectious bronchitis virus–IBV and the Turkey coronavirus [TCoV]), which cause economic losses in the poultry industry. Recombination has been shown for IBV and TCoV viruses [6].
First described in 1931, the IBV virus is of particular concern in the poultry industry, causing the suffocation and debilitation of chickens [7]. Despite the fact that vaccination is available and commonly practiced nowadays, IBV continues to cause outbreaks in poultry farms and is a major cause of significant economic loss [8].
The role of infected but asymptomatic wild migrating birds in the dissemination of viruses over long distances was first described at the beginning of the 1970s when avian influenza A viruses (AIV) and avian paramyxoviruses (subfamily Avulavirinae, family Paramyxoviridae) (APMV used hereafter for the purposes of this paper) in wild waterfowl were described in multiple publications, including active surveillance in Russia [9,10,11,12,13,14,15,16]. The probability of new zoonotic variants intruding into the human population raises concerns following the history of previous influenza pandemics and recent sporadic fatal cases of avian influenza in humans [17,18,19]. Previous pandemics were linked with AIVs, which circulated among wild birds, the segmented genome structure of AIV allowing the virus to gain new features with genetic shifts. Despite ACoVs not having the gene reassortment ability of AIVs, it has been shown that coronaviruses can have inter-subgenus recombinations [20], which can lead to changes in hosts.
Previous works have shown a significant presence of coronaviruses in wild bird populations. For example, they were shown to be present in 15.3% of infected birds in Australia, where both Gamma- and Deltacoronavirus variants were found [21]. For the Eurasian continent, a study from Poland showed a high prevalence of ACoVs over a long observational period (4.15%) [22]. With the exception of Galliformes, the most common order affected by gammacoronaviruses is thought to be Anseriformes, whereas deltacoronaviruses have a low prevalence in species of this order.
A vast area containing wild bird breeding sites in Russia remained untested for ACoV until our study and two independent investigations were carried out [23,24]. Research conducted in 2020 provided data on the presence of wild bird coronaviruses in 14 regions of Russia [23], while early study of Beringia area in 2010 revealed ACoVs in geese, ducks, and shorebirds [24]. Our study provides data on the presence of coronaviruses among wild birds in two observational sites in Russia in 2021, which represent two most significant key points among the breeding sites of birds using two principal Eurasian flyways. The first site is the Novosibirsk region in the southwest of Siberia, which is crossed by at least three migratory routes (west Asian–east African, central Asian, and Black Sea–Mediterranean flyways) which interconnect regions of Eurasia and Africa across long distances. The water bodies of the Novosibirsk region are breeding zones for many Anseriformes species [25]. Sakhalin Island is a migration site for Anseriformes and Charadriiformes of the East Asia–Australasian migratory flyway, which crosses Eurasia, North America, and Australia. Here, we found for the first time co-circulation and co-infection cases of avian coronavirus, avian paramyxovirus, and avian influenza A virus in wild duck species, which have their breeding areas in Siberia.

2. Materials and Methods

2.1. Ethics

The present study was conducted in accordance with the approval and requirements of the Biomedical Ethics Committee of the Federal Research Center of Fundamental and Translational Medicine (FRC FTM), Novosibirsk (Protocols No. 2013-23 and 2021-10). The bird specimens were collected during the state hunting season with a license from the regional Ministries of Ecology and Natural Resources as part of the annual collection of biological material (the Programme for the Study of Infectious Diseases of Wild Animals, FRC FTM, Novosibirsk). The study utilised the Biosafety Level-3 (BSL-3) facilities of the FRC FTM.

2.2. Sample Collection

Cloacal swabs of wild waterfowl were collected during the hunting season in individual 2 mL tubes containing 1 mL of viral transport medium. The tubes containing sample biomaterial were stored in liquid nitrogen immediately and transported to the laboratory for analysis [26].

2.3. Avian Influenza Virus and Avian Paramyxovirus Isolation Using Chicken Embryos

Aliquots of each collected sample were used to isolate AIVs and APMVs. For this purpose, samples were mixed using a vortex shaker and transferred to new 1.5 mL tubes following centrifugation for 3 min at 3000 g. Supernatants were transferred to a new 1.5 mL tube containing penicillin and gentamicin. SPF chicken embryos (3 per sample) were inoculated with a 100 μL of sample in the allantoic cavity and incubated for 72 h in the BSL-3 laboratory of the FRC FTM [26]. Allantoic fluid was collected in individual tubes and tested for haemagglutinating activity. After 3 serial passages of virus cultivation, all HA-positive samples were aliquoted for AIV M gene PCR testing.

2.4. RNA Extraction, Reverse Transcription, and Real-Time PCR

2.4.1. Avian Influenza Virus Detection

RNA was extracted from allantoic fluid samples using a kit for nucleic acid extraction (Medico-Biological Union LLC, MBU Group, Novosibirsk, Russia) following the manufacturer’s protocol. A measure of 5 μL of RNA was used to conduct RT-PCR with an AIV Real-Time RT-PCR kit (Medico-Biological Union LLC, MBU Group, Novosibirsk, Russia).

2.4.2. Avian Paramyxovirus Detection

All samples of allantoic fluid with HA activity were also tested for the presence of viruses of the Paramyxoviridae family by PCR. For this purpose, RNA was isolated as described above and reverse transcription was performed using a Reverta-L kit (AmpliSens, Russia). To detect avian paramyxoviruses, family-wide oligonucleotides (PMX1 5′-GAR-GGI-YII-TGY-CAR-AAR-NTN-TGG-AC-3′ and PMX2 5′-TIA-YIG-CWA-TIR-IYT-GRT-TRT-CNC-C-3′) specific to domain III of the RNA-dependent RNA polymerase gene were used [27]. Oligonucleotides were diluted to a concentration of 50 pmol/μL. A reaction mixture was prepared using 25 μL of Quick-Load Taq 2x Master Mix (New England Biolabs, USA), 1 μL of forward and reverse oligonucleotides, and 5 μL of cDNA. Water was then added to achieve a final volume of 50 µL. The reaction mixture was incubated at 94 °C for 1 min, then for 40 cycles at 94 °C for 15 s, at 41 °C for 30 s, and at 68 °C for 30 s, and then a final extension at 68 °C for 7 min.
Reaction products were visualised by 1.5% agarose gel electrophoresis in Gel Doc XR+ (Bio-Rad Laboratories, Hercules, CA, USA). A 100 bp DNA Ladder O’GeneRuler Plus (Thermo Fisher Scientific, USA) was used to estimate amplicon size. Samples in which amplicons were found were prepared for whole-genome sequencing.

2.4.3. Avian Coronavirus Detection and Fragment Sequencing

RNA was extracted from aliquots of cloacal swab samples using a kit for nucleic acid extraction (Medico-Biological Union LLC, MBU Group, Novosibirsk, Russia) following the manufacturer’s instructions. IBV vaccine strain H120 was used as a positive control. The protocol for ACoV detection using modified family-wide oligonucleotides [21] for 602 nucleotide fragments of RdRp of ACoV was implemented. Reverse transcription using 100 pmol of reverse oligonucleotide, 4 μL of RT buffer, 1 μL of reverse transcriptase, and 10 μL of RNA was implemented using a RNAScribe kit (Biolabmix, Novosibirsk Region, Russia) in the following conditions: 50 °C for 40 min, 85 °C for 5 min. PCR with a SYBR Blue HS-qPCR kit (Biolabmix, Novosibirsk Region, Russia) was carried out mixing 1 μL of H2O, 5 μL of BiomasterMix, 1 pM forward, and 1 pM reverse oligonucleotides. PCR in the following conditions was implemented: at 95 °C for 30 s, annealing for 30 s and at 72 °C for 45 s following final elongation at 72 °C for 3 min. Annealing temperature decreased every 3 cycles by 2 °C from 60 °C to 48 °C. The main phase at the 48 °C annealing temperature had 30 cycles. Melting curves were constructed according to the following conditions: at 95 °C for 15 s, at 60 °C for 1 min, and at 60 °C to 95 °C, with 0.05 °C/s increments.
To visualise and detect PCR products, we used electrophoresis in 1.5% agarose gel, and detected amplicons were sliced from the gel and extracted using a GeneJet Gel Extraction kit (Thermo Fisher Scientific, Waltham, MA, USA), following the manufacturer’s instructions. Extracted amplified DNA was used for the sequencing reaction with a BigDye V3.1 kit (Thermo Fisher Scientific, Waltham, MA, USA). Fragments were sequenced using an ABI 3130XL Genetic Analyser (Applied Biosystems, Waltham, MA, USA) in accordance with the manufacturer’s instructions at the Genomics Core Facility of the Siberian Branch of the Russian Academy of Sciences (ICBFM SB RAS, Novosibirsk, Russia).

2.5. Phylogenetic Analysis

To determine the genus of positive samples, phylogenetic analysis was conducted. The most relevant and reference sequences from the NCBI GenBank database were added for analysis. Sequences were aligned using a MUSCLE algorithm in MEGA X. A maximum likelihood phylogenetic tree was generated using the GTR + G + I substitution model with a bootstrap test, 1000 iterations.

3. Results

3.1. Virus Detection

We collected 606 samples from 12 species of hunt-harvested wild ducks from two sites of the Asian part of Russia: the Novosibirsk region in the Western Siberian Lowland wetlands (n = 389) and Sakhalin Island (n = 217) (Table 1). We constructed a map showing both exact sampling sites of this study, and the Gammacoronavirus detections from the other available studies (Figure 1).
We evaluated samples for the presence of three viruses and their mixed infection using PCR. We found that the most prevalent virus in single-infected samples was avian influenza A virus, n = 37 (6.1%) out of 606 samples, followed by avian paramyxovirus, n = 33 (5.4%), and avian coronavirus, n = 25 (4.1%). We also found 14 samples simultaneously infected with two viruses in the following combinations: AIV + ACoV (n = 8, 1.3%), APMV + ACoV (n = 5, 0.8%), and AIV+ APMV (n = 1, 0.2%) (Figure 2). One sample from a Northern Pintail (Anas acuta) collected on Sakhalin Island was found to be positive for three infections: AIV+ ACoV+ APMV, which is a 0.2% proportion of the 606 study samples analysed. Finally, the total number of individuals infected with any virus was found to be 110 (16.6%). The isolation rate was shown to be 15.9% and 22.1% for the Novosibirsk region in the Western Siberian Lowland wetlands (n = 62) and Sakhalin Island (n = 48), respectively.
The largest number of all positive samples was detected among Anas crecca (n = 51) and Anas acuta (n = 12). Coronavirus RNA in the form of single infections was found in samples from the following species: Anas crecca (n = 8), Anas stepera (n = 5), Anas formosa (n = 3), Anas acuta (n = 2), and some other species (n = 7).
A single infection was found in all species studied except for the Red-crested Pochard (Netta rufina) and Goldeneye (Bucephala clangula). Co-infection positives were only found in the three most represented species, which had large sample sizes: Common Teal (Anas crecca), Northern Pintail (Anas acuta), and Gadwall (Anas strepera), the latter species having only one combination, avian paramyxovirus and avian coronavirus. Combinations with APMV were more prevalent in the samples from Sakhalin Island (n = 5) than in those from the Novosibirsk region (n = 1).
Thus, we found 25 avian coronaviruses in the form of a single infection (4.1%) and another 14 in the form of co-infections with other avian viral infections (2.3%).

3.2. Phylogenetic Analysis of Coronaviruses

We obtained nucleotide sequences of the RdRp fragments for 16 coronaviruses isolated from the Sakhalin Island samples and for 6 coronaviruses isolated from the Western Siberian Lowland samples (GenBank accession numbers OQ731809-OQ731830). Other isolates were sequenced and assigned Gammacoronaviruses, but were not subjected to phylogenetic analysis because the quality and length of the sequences were insufficient. Phylogenetic analysis revealed that all samples obtained were related to Gammacoronavirus (Figure 3). Figure 3A shows the position of the studied strains relative to the reference strains of four genera of coronaviruses: Alphacoronaviruses (seasonal human coronaviruses), Betacoronaviruses (SARS-CoV, MERS-CoV, SARS-CoV-2, Human seasonal OC43 and HKU1), Gammacoronaviruses, and Deltacoronaviruses. The tree topologies (Figure 3B) did not show significant clustering between viruses of different regions or hosts. When constructing a phylogenetic tree of amino acid sequences (103 a.a., only Gammacoronavirus included, tree is not shown), we showed that all our sequences belong to a Duck coronavirus species and no longer have such a complex topology as at the nucleotide phylogenetic tree. The visualization of the pairwise distances of the nucleotide sequences confirmed a significant difference in the studied gammacoronaviruses from known zoonotic coronaviruses (Figure S1).

4. Discussion

Among the 606 cloacal swab samples collected from wild waterfowl at two distant ornithological surveillance hotspots in 2021, we detected 39 coronaviruses. We found that 25 avian coronaviruses (i.e., 4.1%) out of the total number of samples were in the form of a single infection, and another 14 (i.e., 2.3%) were in the form of co-infection with other tested avian viral infections.
The most common coronavirus was found in co-infection with influenza, followed by paramyxoviruses. Additionally, for the first time, we found a wild bird, a Northern Pintail, on Sakhalin Island that simultaneously had three infections: AIV + ACoV + APMV. The Northern Pintail (Anas acuta) is a wide-ranging migratory duck with a Holarctic breeding and wintering distribution and is a major vector for intercontinental virus exchange and movement of avian influenza A viruses [28].
It can be assumed that there is an exchange of coronaviruses between Eurasia and America which has not yet been documented in the published literature. However, in North America, coronaviruses in wild migrating birds have been found in very limited numbers, which suggests that waterfowl and shorebirds are not significant natural reservoirs for ACoVs in North America, although sample size, collection method, collection location, and bird age may have impacted the available prevalence data [29]. However, for some shorebird species, there was shown to be a high prevalence of gammacoronaviruses [30]. Our phylogenetic analysis did not show a close relationship with American coronaviruses. On the other hand, we found that the isolate ACoV/Gadwall/Sakhalin/213 clustered with some ACoVs detected in North America and Australia (2016) (Figure 3), suggesting the possibility of virus exchange in Beringia. However, bootstrap indices are not enough for a clear conclusion. A low prevalence of coronavirus was also found in some studies in urbanised areas in South America [31]. However, none of the above-mentioned studies investigated the co-circulation of the main viruses for which monitoring is undertaken and which we have identified in Siberia through the present research.
Along with a single coronavirus infection (4.1%), we found that 1.3% of samples were co-infected with ACoV and AIV. For the first time, we showed co-infection with avian coronavirus and paramyxovirus (0.8%). Previous research in China revealed co-infections of ACoV and AIV and that the presence of co-infected birds was relatively high (3.3%) [32]. The highest proportion of individual birds with multiple co-infections in our study was shown for Common Teals (Anas crecca) (n = 51, 28.3%), which had the highest diversity of combinations. However, it should be noted that this species constituted the largest number in terms of sample size. Earlier, our research revealed a high percentage of influenza A viruses and avian paramyxoviruses, but ACoV was not included in the studies [13,14,15,16].
In the present study, only three viruses (one paramyxovirus and two coronaviruses) from 110 samples were detected in the diving ducks: Common Pochard (Aythya ferina); Red-crested Pochard (Netta rufina), Tufted Duck (Aythya fuligula), and Goldeneye (Bucephala clangula), which confirms the role of dabbling ducks as principal reservoirs for the viruses studied. In addition, the greatest number of co-infections and their combinations was found in only two species of dabbling ducks, the Common Teal and Northern Pintail.
All partially sequenced coronaviruses were assigned to Gammacoronavirus: we did not detect deltacoronaviruses. On the one hand, these data support the assumption of the low prevalence of deltacoronaviruses among wild birds, because we used primers that amplified both gamma- and deltacoronaviruses with equal efficiency. On the other hand, this result for coronaviruses in general may be biased by the detection method implemented in our study, whereby we tested for coronavirus from the original swabs collected, but for AIVs and paramyxoviruses from cultivated chicken embryos. The different methods of investigating samples may have led to differing virus prevalence estimates, which places a limitation on our effective comparative analysis. Our study indeed has this limitation, as avian coronaviruses do not grow well in cells and chicken embryos, and thus we used PCR for their detection, while for avian influenza and paramyxoviruses, we used chicken embryos, which are more responsive to these viruses. We aimed to show whether we could detect different viruses in our samples, rather than compare the impact of the methods employed on the results. The 2022 study by Marchenko et al. of samples taken from wild waterfowl of the Novosibirsk region revealed only one deltacoronavirus in a Gadwall collected in 2020, while the phylogeny of gammacoronaviruses and their hosts were revealed as miscellaneous [23]. Nevertheless, similar studies in wintering sites in China revealed a large prevalence of deltacoronaviruses [32]. At the same time, gammacoronaviruses were also found there, mainly in wild ducks, whereas deltacoronaviruses were found mainly among the Ciconiiformes and Columbiformes, which are the dominant resident bird orders in wintering places in eastern China (Shanghai), but they were not represented in our studies. Thus, our study, together with data from other studies, supports the assumption that wild ducks may not play a key role as a reservoir of Deltacoronaviruses.
If we look at birds migrating to the north of such wintering sites in eastern China and Korea, along the East Asia–Australia migratory flyway, only gammacoronaviruses were detected in the Northern Pintail and Indian Spot-billed Duck [33]. However, did not find phylogenetically similar viruses on Sakhalin Island.
It should be noted that the samples in this study were collected during the autumn migrations of these species to wintering areas. The key sampling points were in various territories located on differing migration routes. The Novosibirsk region populations mainly migrate in a southwestward direction to wintering sites in central Asia, the Black Sea, and the Mediterranean basin [25]. As this kind of research has not been conducted in the European territories within the migration routes of the species sampled in our study, it is, as yet, impossible to compare data on the co-circulation of the viruses detected. However, studies in Europe have revealed the diversity of coronaviruses in wild birds, at least in their nesting and permanent habitats. For instance, a study in Poland detected gammacoronaviruses (Figure 1) more often than deltacoronaviruses, with detection rates of 3.5% and 0.7%, respectively, while the total prevalence of coronaviruses revealed in wild bird populations was 4.15%, and the main viral reservoirs were amongst birds of the orders Anseriformes and Charadriiformes [22]. A similar pattern was found in Portugal, with the detection of only one deltacoronavirus infection (1.4%) against the background of a high prevalence of detected gammacoronaviruses (31.4%) [34]. At the same time, there has been no study on viral co-infections in birds in Europe, with the exception of a detailed significant work on three infections in wild Mallards [35], although the probability of such co-infections in European wild birds would seem to be high. Such work is necessary for the development of monitoring systems for multiple bird infections, for example, similar to those that were created for the highly pathogenic avian influenza [36].
From the partial sequences we obtained of our coronaviruses, we constructed a phylogenetic tree by comparing the partial sequences of the RdRp with those in the GenBank database (Figure 3). The results showed that gammacoronaviruses are mainly clustered with duck and shorebird ACoVs mainly found in different countries of Europe and Asia, including viruses currently found in Siberia [16]. One isolate had relation to the cluster of American and Australian wild duck ACoVs.
We did not find close phylogenetic relationships of our coronaviruses with the strains in southern wintering areas mentioned above. Unfortunately, there are few studies on the comparison of coronaviruses and their co-infections in wintering sites.
In summary, the present study demonstrated that ACoV, AIV, and APMV co-infection is highly prevalent in wild birds, including some cases of triple co-infection.
The long-term continual surveillance of such co-infections in wild birds in their breeding and wintering areas is required to better understand the ecology and epidemiology of these viruses.

5. Conclusions

The present study demonstrated that ACoV infection is highly prevalent in wild migrating ducks of dabbling species, not only as single infections or co-infections with avian influenza virus, but also with paramyxoviruses. We first detected the triple co-infection of these viruses in a long-distance migrating species, the Northern Pintail.
These data are essential for the fundamental understanding of the diversity and dynamics of ACoV in wild bird populations in association with other zoonotic avian viruses, such as avian influenza viruses and avian paramyxoviruses.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v15051121/s1, Figure S1: Heatmap with visualization of pairwise distances of nucleotide sequences of studied gammacoronaviruses and reference strains from four genera of coronaviruses: Alphacoronaviruses, Betacoronaviruses, Gammacoronavirus and Deltacoronavirus. The scale of pairwise distance is applied.

Author Contributions

Conceptualisation, K.S. and N.D.; methodology, N.D., K.S., A.D. (Anastasiya Derko), A.L., I.K., D.Z., I.S., O.K. (Olga Kurskaya), A.A., A.D. (Alexey Druzyaka), P.K., O.K. (Olga Kulikova) and A.S.; software, N.D., K.S. and A.D. (Anastasiya Derko); validation, N.D., A.D. (Anastasiya Derko), P.K., O.K. (Olga Kurskaya), G.H., Z.W. and K.S.; formal analysis, K.S.; investigation, N.D., K.S., A.D. (Anastasiya Derko), A.L., I.K., D.Z., I.S., O.K. (Olga Kurskaya), A.A., A.D. (Alexey Druzyaka), P.K. and O.K. (Olga Kulikova); resources, N.D. and K.S.; data curation, A.D. (Anastasiya Derko), N.D. and K.S.; writing—original draft preparation, N.D., K.S., A.D. (Anastasiya Derko), A.L., I.K., D.Z., I.S., O.K. (Olga Kurskaya), A.A., A.D. (Alexey Druzyaka), P.K., O.K. (Olga Kulikova), G.H., Z.W., Y.B. and A.S.; writing—review and editing, K.S., N.D., A.D. (Anastasiya Derko), G.H. and Z.W.; visualization, N.D. and K.S.; supervision, K.S. and A.S.; project administration, K.S. and A.S.; funding acquisition, K.S., Y.B. and A.S. All authors have read and agreed to the published version of the manuscript.

Funding

The study was partially supported by the following sources: State-funded budget 122012400086-2 (sampling, sequencing) and RSF 23-44-00026 (analysing, virological experiments).

Institutional Review Board Statement

All aspects of the present study were approved by the Committee on Biomedical Ethics at the Federal Research Center of Fundamental and Translational Medicine (Novosibirsk, Russia) (Protocols No. 2013-23, 2019-3 and 2021-10). Experiments were conducted in Biosafety Level-3 facilities.

Informed Consent Statement

Not applicable.

Data Availability Statement

All sequences from the study are available in GenBank (accession numbers: OQ731809-OQ731830).

Acknowledgments

We are grateful to all authors who contributed to genome sequences information provided to GenBank. The study was partly supported by the Centers for Collective Use of scientific equipment “Proteomic analysis” supported by funding from the Ministry of Science and Higher Education of the Russian Federation (agreement No. 075-15-2021-691) and “Modern optical Systems” of Research Center of Fundamental and Translational Medicine (Novosibirsk, Russia). Special thanks to Professor Guy Petherbridge for revising the manuscript.

Conflicts of Interest

The authors declare no conflict of interest. The funding entities had no role in the design of the study, in the collection of material, analyses or interpretation of data, in the writing of the manuscript, or in the decision to publish the results.

References

  1. Current ICTV Taxonomy Release|ICTV. Available online: https://ictv.global/taxonomy (accessed on 7 April 2023).
  2. Boley, P.A.; Alhamo, M.A.; Lossie, G.; Yadav, K.K.; Vasquez-Lee, M.; Saif, L.J.; Kenney, S.P. Porcine Deltacoronavirus Infection and Transmission in Poultry, United States1. Emerg. Infect. Dis. 2020, 26, 255–265. [Google Scholar] [CrossRef]
  3. Mihindukulasuriya, K.A.; Wu, G.; St. Leger, J.; Nordhausen, R.W.; Wang, D. Identification of a Novel Coronavirus from a Beluga Whale by Using a Panviral Microarray. J. Virol. 2008, 82, 5084–5088. [Google Scholar] [CrossRef] [PubMed]
  4. Brian, D.A.; Baric, R.S. Coronavirus Genome Structure and Replication. Curr. Top Microbiol. Immunol. 2005, 287, 1–30. [Google Scholar] [CrossRef]
  5. Papineau, A.; Berhane, Y.; Wylie, T.N.; Wylie, K.M.; Sharpe, S.; Lung, O. Genome Organization of Canada Goose Coronavirus, A Novel Species Identified in a Mass Die-off of Canada Geese. Sci. Rep. 2019, 9, 5954. [Google Scholar] [CrossRef]
  6. Wang, Y.; Cui, X.; Chen, X.; Yang, S.; Ling, Y.; Song, Q.; Zhu, S.; Sun, L.; Li, C.; Li, Y.; et al. A Recombinant Infectious Bronchitis Virus from a Chicken with a Spike Gene Closely Related to That of a Turkey Coronavirus. Arch. Virol. 2020, 165, 703–707. [Google Scholar] [CrossRef] [PubMed]
  7. Fabricant, J. The Early History of Infectious Bronchitis. Avian Dis. 1998, 42, 648–650. [Google Scholar] [CrossRef]
  8. Colvero, L.P.; Villarreal, L.Y.B.; Torres, C.A.; Brañdo, P.E. Assessing the Economic Burden of Avian Infectious Bronchitis on Poultry Farms in Brazil. Rev. Sci. Tech. 2015, 34, 993–999. [Google Scholar] [CrossRef]
  9. Lupiani, B.; Reddy, S.M. The History of Avian Influenza. Comp. Immunol. Microbiol. Infect. Dis. 2009, 32, 311–323. [Google Scholar] [CrossRef] [PubMed]
  10. Gulyaeva, M.; Badmaeva, E.; Yurchenko, K.; Sharshov, K.; Sobolev, I.; Bi, Y.; Chen, J.; Shi, W.; Diulin, I.; Dorzhiev, T.; et al. Monitoring of Potentially Emerging Pathogens in Wild Birds at Baikal Lake Basin in 2019. EcoHealth 2022, 19, 335–341. [Google Scholar] [CrossRef]
  11. Sivay, M.V.; Sayfutdinova, S.G.; Sharshov, K.A.; Alekseev, A.Y.; Yurlov, A.K.; Runstadler, J.; Shestopalov, A.M. Surveillance of Influenza a Virus in Wild Birds in the Asian Portion of Russia in 2008. Avian Dis. 2012, 56, 456–463. [Google Scholar] [CrossRef]
  12. Marchenko, V.Y.; Alekseev, A.Y.; Sharshov, K.A.; Petrov, V.N.; Silko, N.Y.; Susloparov, I.M.; Tserennorov, D.; Otgonbaatar, D.; Savchenko, I.A.; Shestopalov, A.M. Ecology of Influenza Virus in Wild Bird Populations in Central Asia. Avian Dis. 2012, 56, 234–237. [Google Scholar] [CrossRef] [PubMed]
  13. Marco, M.A.D.; Sharshov, K.; Gulyaeva, M.; Delogu, M.; Ciccarese, L.; Castrucci, M.R.; Shestopalov, A. Ecology of Avian Influenza Viruses in Siberia; Nova Publishers: New York, NY, USA, 2016; Chapter 4. [Google Scholar]
  14. Sharshov, K.A.; Li, X.; Yurlov, A.K.; Shestopalov, A.M. Ecological diversity of wild birds-natural reservoir of Influenza a viruses in the south of Western Siberia. S. Russ. Ecol. Dev. 2016, 11, 56–65. [Google Scholar]
  15. Shestopalov, A.M.; Sharshov, K.A.; Varkentin, A.V.; Yushkov, Y.G.; Leonov, S.V.; Galkina, I.V.; Archimaeva, T.G.; Irza, V.N.; Shchelkanov, M.Y.; Gadzhiev, A.A.; et al. Results of long-term (2006–2016) Avian Influenza surveillance in wild birds of Uvs Nuur Lake. S. Russ. Ecol. Dev. 2016, 11, 106–119. [Google Scholar] [CrossRef]
  16. Derko, A.A.; Dubovitskiy, N.A.; Murashkina, T.A.; Sobolev, I.A.; Solomatina, M.V.; Alekseev, A.Y.; Magomedov, M.G.; Mine, J.; Uchida, Y.; Saito, T.; et al. Avian paramyxovirus 4 isolated from the mallard (Anas platyrhynchos, Linnaeus, 1758): The first case detected in the Western Caspian region. S. Russ. Ecol. Dev. 2021, 16, 81–87. [Google Scholar] [CrossRef]
  17. Nelson, M.I.; Worobey, M. Origins of the 1918 Pandemic: Revisiting the Swine “Mixing Vessel” Hypothesis. Am. J. Epidemiol. 2018, 187, 2498–2502. [Google Scholar] [CrossRef] [PubMed]
  18. Yang, R.; Sun, H.; Gao, F.; Luo, K.; Huang, Z.; Tong, Q.; Song, H.; Han, Q.; Liu, J.; Lan, Y.; et al. Human Infection of Avian Influenza A H3N8 Virus and the Viral Origins: A Descriptive Study. Lancet Microbe 2022, 3, e824–e834. [Google Scholar] [CrossRef]
  19. Potdar, V.; Brijwal, M.; Lodha, R.; Yadav, P.; Jadhav, S.; Choudhary, M.L.; Choudhary, A.; Vipat, V.; Gupta, N.; Deorari, A.K.; et al. Identification of Human Case of Avian Influenza A(H5N1) Infection, India. Emerg. Infect. Dis. 2022, 28, 1269–1273. [Google Scholar] [CrossRef]
  20. Nikolaidis, M.; Markoulatos, P.; Van de Peer, Y.; Oliver, S.G.; Amoutzias, G.D. The Neighborhood of the Spike Gene Is a Hotspot for Modular Intertypic Homologous and Nonhomologous Recombination in Coronavirus Genomes. Mol. Biol. Evol. 2022, 39, msab292. [Google Scholar] [CrossRef]
  21. Chamings, A.; Nelson, T.M.; Vibin, J.; Wille, M.; Klaassen, M.; Alexandersen, S. Detection and Characterisation of Coronaviruses in Migratory and Non-Migratory Australian Wild Birds. Sci. Rep. 2018, 8, 5980. [Google Scholar] [CrossRef]
  22. Domańska-Blicharz, K.; Miłek-Krupa, J.; Pikuła, A. Diversity of Coronaviruses in Wild Representatives of the Aves Class in Poland. Viruses 2021, 13, 1497. [Google Scholar] [CrossRef]
  23. Marchenko, V.; Danilenko, A.; Kolosova, N.; Bragina, M.; Molchanova, M.; Bulanovich, Y.; Gorodov, V.; Leonov, S.; Gudymo, A.; Onkhonova, G.; et al. Diversity of Gammacoronaviruses and Deltacoronaviruses in Wild Birds and Poultry in Russia. Sci. Rep. 2022, 12, 19412. [Google Scholar] [CrossRef]
  24. Muradrasoli, S.; Bálint, Á.; Wahlgren, J.; Waldenström, J.; Belák, S.; Blomberg, J.; Olsen, B. Prevalence and Phylogeny of Coronaviruses in Wild Birds from the Bering Strait Area (Beringia). PLoS ONE 2010, 5, e13640. [Google Scholar] [CrossRef]
  25. Veen, J.; Yurlov, A.K.; Delany, S.N.; Mihantiev, A.I.; Selivanova, M.A.; Boere, G.C. An Atlas of Movements of Southwest Siberian Waterbirds; Wetlands International: Wageningen, The Netherlands, 2005. [Google Scholar]
  26. World Health Organization. Collecting, Preserving and Shipping Specimens for the Diagnosis of Avian Influenza A(H5N1) Virus Infection: Guide for Field Operations; World Health Organization: Geneva, Switzerland, 2006. [Google Scholar]
  27. van Boheemen, S.; Bestebroer, T.M.; Verhagen, J.H.; Osterhaus, A.D.M.E.; Pas, S.D.; Herfst, S.; Fouchier, R.A.M. A Family-Wide RT-PCR Assay for Detection of Paramyxoviruses and Application to a Large-Scale Surveillance Study. PLoS ONE 2012, 7, e34961. [Google Scholar] [CrossRef] [PubMed]
  28. Koehler, A.V.; Pearce, J.M.; Flint, P.L.; Franson, J.C.; Ip, H.S. Genetic Evidence of Intercontinental Movement of Avian Influenza in a Migratory Bird: The Northern Pintail (Anas Acuta). Mol. Ecol. 2008, 17, 4754–4762. [Google Scholar] [CrossRef]
  29. Jordan, B.J.; Hilt, D.A.; Poulson, R.; Stallknecht, D.E.; Jackwood, M.W. Identification of Avian Coronavirus in Wild Aquatic Birds of the Central and Eastern USA. J. Wildl. Dis. 2015, 51, 218–221. [Google Scholar] [CrossRef] [PubMed]
  30. Canuti, M.; Kroyer, A.N.K.; Ojkic, D.; Whitney, H.G.; Robertson, G.J.; Lang, A.S. Discovery and Characterization of Novel RNA Viruses in Aquatic North American Wild Birds. Viruses 2019, 11, 768. [Google Scholar] [CrossRef] [PubMed]
  31. Barbosa, C.M.; Durigon, E.L.; Thomazelli, L.M.; Ometto, T.; Marcatti, R.; Nardi, M.S.; de Aguiar, D.M.; Pinho, J.B.; Petry, M.V.; Neto, I.S.; et al. Divergent Coronaviruses Detected in Wild Birds in Brazil, Including a Central Park in São Paulo. Braz. J. Microbiol. 2019, 50, 547–556. [Google Scholar] [CrossRef]
  32. Ma, M.; Ji, L.; Ming, L.; Xu, Y.; Zhao, C.; Wang, T.; He, G. Co-Circulation of Coronavirus and Avian Influenza Virus in Wild Birds in Shanghai (2020–2021). Transbound. Emerg. Dis. 2022, 69, 3985–3991. [Google Scholar] [CrossRef]
  33. Kim, H.-R.; Oem, J.-K. Surveillance of Avian Coronaviruses in Wild Bird Populations of Korea. J. Wildl. Dis. 2014, 50, 964–968. [Google Scholar] [CrossRef]
  34. Hemnani, M.; Rodrigues, D.; Santos, N.; Santos-Silva, S.; Figueiredo, M.E.; Henriques, P.; Ferreira-e-Silva, J.; Rebelo, H.; Poeta, P.; Thompson, G.; et al. Molecular Detection and Characterization of Coronaviruses in Migratory Ducks from Portugal Show the Circulation of Gammacoronavirus and Deltacoronavirus. Animals 2022, 12, 3283. [Google Scholar] [CrossRef]
  35. Wille, M.; Avril, A.; Tolf, C.; Schager, A.; Larsson, S.; Borg, O.; Olsen, B.; Waldenström, J. Temporal Dynamics, Diversity, and Interplay in Three Components of the Virodiversity of a Mallard Population: Influenza A Virus, Avian Paramyxovirus and Avian Coronavirus. Infect. Genet. Evol. 2015, 29, 129–137. [Google Scholar] [CrossRef] [PubMed]
  36. Petherbridge, G.; Gadzhiev, A.A.; Shestopalov, A.M.; Alekseev, A.Y.; Sharshov, K.A.; Daudova, M.G. An early warning system for highly pathogenic viruses borne by waterbird species and related dynamics of climate change in the Caspian Sea region: Outlines of a concept. S. Russ. Ecol. Dev. 2022, 17, 233–263. [Google Scholar] [CrossRef]
Figure 1. Map of Gammacoronaviruses detected in this study (red). Detections from other available studies are mapped according to regions, and also assigned to a different colour category (blue for Russian studies, black for other Eurasian and African studies); only viruses from wild birds are presented. A size scale shows the number of viruses detected.
Figure 1. Map of Gammacoronaviruses detected in this study (red). Detections from other available studies are mapped according to regions, and also assigned to a different colour category (blue for Russian studies, black for other Eurasian and African studies); only viruses from wild birds are presented. A size scale shows the number of viruses detected.
Viruses 15 01121 g001
Figure 2. Euler diagram showing number of avian influenza A virus (AIV, blue color), avian coronavirus (ACoV, green color), and avian paramyxovirus (APMV, red color) infections and co-infections detected in wild birds in the Novosibirsk (left diagram) and Sakhalin regions (right diagram).
Figure 2. Euler diagram showing number of avian influenza A virus (AIV, blue color), avian coronavirus (ACoV, green color), and avian paramyxovirus (APMV, red color) infections and co-infections detected in wild birds in the Novosibirsk (left diagram) and Sakhalin regions (right diagram).
Viruses 15 01121 g002
Figure 3. Maximum-likelihood phylogenetic tree of nucleotide sequences of RdRp fragments of four genera of coronaviruses: Alphacoronaviruses, Betacoronaviruses, Gammacoronaviruses, and Deltacoronaviruses (A). Detailed maximum-likelihood phylogenetic tree of nucleotide sequences of RdRp fragments of Gammacoronavirus and Deltacoronavirus. (B). Coronaviruses isolated from Sakhalin Island samples are marked red (); coronaviruses isolated from the Western Siberian Lowland are marked green (); reference strains are marked black (●).
Figure 3. Maximum-likelihood phylogenetic tree of nucleotide sequences of RdRp fragments of four genera of coronaviruses: Alphacoronaviruses, Betacoronaviruses, Gammacoronaviruses, and Deltacoronaviruses (A). Detailed maximum-likelihood phylogenetic tree of nucleotide sequences of RdRp fragments of Gammacoronavirus and Deltacoronavirus. (B). Coronaviruses isolated from Sakhalin Island samples are marked red (); coronaviruses isolated from the Western Siberian Lowland are marked green (); reference strains are marked black (●).
Viruses 15 01121 g003
Table 1. Sample size and results of virus detection of wild ducks in the Asian part of Russia.
Table 1. Sample size and results of virus detection of wild ducks in the Asian part of Russia.
SpeciesNumber
of
Samples
Single Infection PositivesCo-Infection PositivesTotal Number of Infected Individuals and %Age
Avian Influenza (AIV)Avian Coronavirus (ACoV)Avian Paramyxovirus (APMV)AIV + ACoVAIV + APMVAPMV + ACoVAIV + ACoV + APMV
Common Teal (Anas crecca)18020813712-51 (28.3%)
Garganey (Anas querquedula)37311----5 (13.5%)
Mallard (Anas platyrhynchos)47316----10 (2.2%)
Northern Shoveler (Anas clypeata)4022-----4 (10%)
Baikal Teal (Anas formosa)38137----11 (28.9%)
Northern Pintail (Anas acuta)895211-2112 (13.5%)
Gadwall (Anas strepera)81154--1-11 (13.6%)
Wigeon (Anas penelope)2721-----3 (11.1%)
Common Pochard (Aythya ferina)40-11----2 (5%)
Red-crested Pochard (Netta rufina)11-------0
Tufted Duck (Aythya fuligula)7-1-----1 (14.2%)
Goldeneye (Bucephala clangula)9-------0
Novosibirsk Region sampling site389271217501062 (15.9%)
Sakhalin Island sampling site217101316314148 (22.1%)
Total60637 (6.1%)25 (4.1%)33 (5.4%)8 (1.3%)1 (0.2%)5 (0.8%)1 (0.2%)110 (16.6%)
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Sharshov, K.; Dubovitskiy, N.; Derko, A.; Loginova, A.; Kolotygin, I.; Zhirov, D.; Sobolev, I.; Kurskaya, O.; Alekseev, A.; Druzyaka, A.; et al. Does Avian Coronavirus Co-Circulate with Avian Paramyxovirus and Avian Influenza Virus in Wild Ducks in Siberia? Viruses 2023, 15, 1121. https://doi.org/10.3390/v15051121

AMA Style

Sharshov K, Dubovitskiy N, Derko A, Loginova A, Kolotygin I, Zhirov D, Sobolev I, Kurskaya O, Alekseev A, Druzyaka A, et al. Does Avian Coronavirus Co-Circulate with Avian Paramyxovirus and Avian Influenza Virus in Wild Ducks in Siberia? Viruses. 2023; 15(5):1121. https://doi.org/10.3390/v15051121

Chicago/Turabian Style

Sharshov, Kirill, Nikita Dubovitskiy, Anastasiya Derko, Arina Loginova, Ilya Kolotygin, Dmitry Zhirov, Ivan Sobolev, Olga Kurskaya, Alexander Alekseev, Alexey Druzyaka, and et al. 2023. "Does Avian Coronavirus Co-Circulate with Avian Paramyxovirus and Avian Influenza Virus in Wild Ducks in Siberia?" Viruses 15, no. 5: 1121. https://doi.org/10.3390/v15051121

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop