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Communication

Wild Red Deer (Cervus elaphus) Do Not Play a Role as Vectors or Reservoirs of SARS-CoV-2 in North-Eastern Poland

1
Department of Tropical Parasitology, Institute of Maritime and Tropical Medicine, Medical University of Gdansk, 81-519 Gdynia, Poland
2
Department of Forestry and Forest Ecology, University of Warmia and Mazury, 10-727 Olsztyn, Poland
3
Department of Virology, Medicum, University of Helsinki, 00290 Helsinki, Finland
4
Department of Basic Veterinary Sciences, Faculty of Veterinary Medicine, University of Helsinki, 00790 Helsinki, Finland
5
INRAE-Université de Toulouse UR 0035 CEFS, 31326 Castanet Tolosan, France
*
Author to whom correspondence should be addressed.
Viruses 2022, 14(10), 2290; https://doi.org/10.3390/v14102290
Submission received: 1 October 2022 / Revised: 16 October 2022 / Accepted: 17 October 2022 / Published: 18 October 2022
(This article belongs to the Special Issue Emerging Microbes, Infections and Spillovers)

Abstract

:
Several studies reported a high prevalence of SARS-CoV-2 among white-tailed deer in North America. Monitoring cervids in all regions to better understand SARS-CoV-2 infection and circulation in other deer populations has been urged. To evaluate deer exposure and/or infection to/by SARS-CoV-2 in Poland, we sampled 90 red deer shot by hunters in five hunting districts in north-eastern Poland. Serum and nasopharyngeal swabs were collected, and then an immunofluorescent assay (IFA) to detect anti-SARS-CoV-2 antibodies was performed as well as real-time PCR with reverse transcription for direct virus detection. No positive samples were detected. There is no evidence of spillover of SARS-CoV-2 from the human to deer population in Poland.

1. Introduction

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for the COVID-19 pandemic, can infect multiple wild and domestic animals [1,2,3,4,5,6]. Due to the possible maintenance, dissemination and evolution of the virus, there is an urgent need to identify and monitor species susceptible to SARS-CoV-2. Animal reservoirs constitute a threat by contributing to animal–animal and animal–human transmission of viruses. Such transmissions can lead to reverse zoonosis (spillback) of novel animal-adapted variants that the human immune system has not encountered before [7,8]. This phenomenon is well documented for SARS-CoV-2 infections of farmed mink (Neovison vison). After the first detection of the virus in mink in the Netherlands [4], extensive surveillance of mink farms has been implemented, and SARS-CoV-2-infected mink have been detected worldwide [9,10]. Additionally, in the Netherlands, Denmark and Poland, SARS-CoV-2 strains with an animal sequence signature were detected among farm employees and other contact individuals, indicating spillback from mink to humans [11,12,13,14]. Likewise, the circulation of SARS-CoV-2 among free-roaming wild animals poses challenges for surveillance and control, and abundant animals living close to urban settlements should be paid the utmost attention [8].
In July 2021, antibodies against SARS-CoV-2 were detected among 40% (152/624 samples) of studied white-tailed deer (Odocoileus virginianus) during wildlife disease surveillance operations in the United States [15]. Previous studies had shown that white-tailed deer fawns, when experimentally inoculated with SARS-CoV-2, shed infective virus up to 5 days after infection and developed antibodies against the virus [16]. Vertical and horizontal virus transmission has also been documented [17]. In September 2021, Hale et al. employed the real-time PCR method and detected SARS-CoV-2 in 35.8% of 360 free-range white-tailed deer [18]. Moreover, white-tailed deer have been reported to have been exposed to different SARS-CoV-2 variants during separate events [18,19]. Further serological and molecular studies have also investigated the role of white-tailed deer as a reservoir of SARS-CoV-2 [20,21,22,23], and the first suspected deer-to-human transmission has been reported recently [24].
In response to the high numbers of infected deer in North America, the World Organisation for Animal Health (WOAH) recommended monitoring cervids in all regions to better understand SARS-CoV-2 infection and circulation in other deer populations [25]. Recent European efforts have sought to determine whether other deer species can also act as reservoirs for the SARS-CoV-2 virus. Serological studies conducted in Germany, Austria and the United Kingdom found no evidence of spillover of SARS-CoV-2 to cervid species in these regions [26,27,28].
The red deer (Cervus elaphus) is one of the most widespread large mammals in Europe [29]. According to the Central Statistical Office in Poland, the national population of red deer increased significantly from 180 thousand to 281.9 thousand over the last eleven years, increasing the risk of exposure to deer in urban environments [30]. Furthermore, an in silico study of ACE2 (angiotensin-I-converting enzyme 2) receptors demonstrated that ACE2 from all three studied Cervidae species—the white-tailed deer, reindeer (Rangifer tarandus) and Père David’s deer (Elaphurus davidianus)—are at high risk of binding SARS-CoV-2 receptor-binding domain [29]. Apart from K-N substitution, no differences have been found between the red deer and white-tailed deer ACE2 amino acid sequence [28].
As a means for proactive, targeted monitoring of wildlife, we investigated whether a spillover of SARS-CoV-2 occurred among red deer in Poland.

2. Materials and Methods

2.1. Material Collection and RNA Isolation

Samples were collected from 90 red deer (Cervus elaphus) individuals shot by hunters in Warminsko-Mazurskie Voivodeship in north-eastern Poland (Figure 1).
Samples were collected in Strzalowo, Olsztyn, Milomlun, Nidzica and Nowe Ramuki. Table 1 shows the number and status of sampled individuals.
Blood or blood clots were collected and centrifuged to obtain serum. Since animal carcasses were stiff, we used a sterile plastic speculum to open the nasal cavity; then, using a thick swab, we collected nasopharyngeal swabs and preserved them in a virus deactivation buffer at +4 °C. A total of 150 μL from each sample of a swab in inactivation buffer was added to 300 μL of RLT lysis buffer (RNeasy Mini kit, Qiagen, Germany). Samples were mixed by vortexing and incubated for 10 min at room temperature. After incubation, 400 μL of 70% ethanol was added to each sample and mixed by pipetting. The lysate was transferred to a RNeasy Mini spin column with a collection tube and centrifuged for 1 min at 13,000 RPM. Columns were washed once with 700 μL RW1 and twice with 500 μL RPE. Between every wash, the columns were centrifuged and the flow-through was discarded. Elution was performed by adding 50 μL of PCR-grade water to the column and incubating for 2 min. Columns were placed into new tubes and centrifuged at 13,000 RPM for 1 min. After isolation, the samples were processed. We tested 90 nasopharyngeal swab samples by RT-rtPCR and 90 serum samples by immunofluorescent assay (IFA). No human-origin samples were processed at the same time in the laboratory.

2.2. SARS-CoV-2 Case Definition

A SARS-CoV-2-positive individual was defined as suggested by WOAH [31]. Deer are considered SARS-CoV-2 positive if: SARS-CoV-2 has been isolated from a sample taken directly from an animal (nasal swab, oropharyngeal swab) or viral nucleic acid has been identified in a sample taken directly from an animal, giving cause for the suspicion of a previous association or contact with SARS-CoV-2 by (a) targeting at least two specific genomic regions at a level indicating the presence of infectious virus or (b) targeting a single genomic region followed by sequencing of a secondary target.

2.3. Real-Time RT-PCR

For each sample, the reaction mixture was prepared using a TaqPath™ 1-Step RT-qPCR Master Mix (ThermoFisher Scientific, Waltham, MA, USA), polymerase, DEPC-treated water (EURx, Gdańsk, Poland), primers and probes for the RNA-dependent RNA polymerase (RdRp) and envelope (E) genes [31] in white 8-well qPCR strips with optical clear caps. Positive control plasmids were prepared in-house with the RdRp and E genes and a no-template control (NTC) containing DEPC-treated water instead of template reactions. Reactions were mixed and loaded into a Light Cycler 480 (Applied Biosystems, Waltham, USA). Cycling conditions were Uracil N-glycosylase (UNG) incubation for 2 min at 25 °C, RT incubation for 15 min at 50 °C, and enzyme activation for 2 minutes at 95 °C, followed by 40 amplification cycles consisting of 3 seconds at 95 °C, and 30 s at 60 °C. After each amplification cycle, the signal from each sample was measured in both the FAM (RdRp gene) and HEX (E gene) channels. Samples with Cp < 35 for either gene were considered positive for SARS-CoV-2.

2.4. Immunofluorescent Assay (IFA) for Antibodies against SARS-CoV-2 Detection

Deer serum samples were analysed using an immunofluorescence assay (IFA) with seropositive human serum as a positive control as previously described [3,32,33,34]. Serum samples were diluted 1:10 in PBS, and the reactivity of the samples to SARS-CoV-2 was tested with SARS-CoV-2-IFA. Infected Vero E6 cells were detached with trypsin, mixed with uninfected Vero E6 cells (in a ratio of 1:3), washed with PBS, spotted on IFA slides, air-dried, and fixed with acetone. The slides were stored at –70 ℃ until use. We used rabbit anti-deer IgG fluoresceinisothiocyanate labeled as a conjugate (LGC Sera Care, Milford, CT, USA). The slides were read under a fluorescence microscope, and pictures were taken with a ZOETM fluorescent cell imager (BioRad, Hercules, USA).

3. Results

Real-time RT-PCR and IFA approach failed to detect any SARS-CoV-2 positive samples among the 90 assayed. The estimated prevalence and seroprevalence for SARS-CoV-2 in the investigated red deer population was 0% [0.0–6.7].

4. Discussion

We did not detect either the SARS-CoV-2 virus or antibodies against the virus in wild red deer in Poland. There is no evidence that spillover of SARS-CoV-2 from human to deer populations occurred in the studied territory. Our results align with other European countries’ reports on wild deer populations [26,27,28]. Comprehensive studies from the United Kingdom [26], Austria and Germany [28] showed no sign of SARS-CoV-2 in several deer species. This result supports the hypothesis that wild deer are not currently a reservoir for SARS-CoV-2 in Europe.
In contrast to European results, the high prevalence and seroprevalence of SARS-CoV-2 in white-tailed deer in North America have been reported in several studies [15,18]. Multiple spillovers of SARS-CoV-2 from humans to white-tailed deer have been documented, along with deer-to-deer transmission. A recent report by Pickering et al. [24] found an epidemiologically linked human case indicating spillback from deer to humans.
There are several factors to consider to explain observed differences in infection rates in deer populations from North America and Europe. The high prevalence in white-tailed deer may be explained by its ACE2 receptor specificity. In silico modelling studies suggest that other deer species might also be susceptible to SARS-CoV-2 [28,35]. Although K-N substitution between red deer and white-tailed deer ACE2 sequence occurs, it fails to explain the lack of detected infections in other European deer species with an ACE2 receptor sequence identical to white-tailed deer. Crucial factors to consider are the deer population distribution, ecology, and behavioural differences. White-tailed deer are often reported to inhabit urban and peri-urban environments [36,37,38].
In contrast, red deer found in European forests are rarely reported to visit human settlements [39]. They are considered to be timid and avoid contact with humans. This may explain our and other groups’ results, where red deer were found to be negative for SARS-CoV-2 screening [26,27,28]. Although routes of white-tailed deer infection are unclear, deer social behaviour might be the factor facilitating the quick spread of the pathogen. Female white-tailed deer live in small herds, while males have broader territories and social contacts, increasing the risk of contact with the virus [40]. Intermediate hosts, such as mink, enabling transmission also cannot be ruled out [24]. Differences in hunting practices should also be considered; for example, animal baiting is allowed in over 20 out of 50 states in North America, which may cause indirect contact with humans, while this practice is forbidden in Poland, as in many other European countries [28].
This study suggests that common wild European red deer are not currently supporting SARS-CoV-2 infections. However, considering reports from North America, it is necessary to monitor wildlife for spillover and spillbacks. Biomonitoring is one of the most effective methods of predicting and preventing possible epidemics [33,41,42,43,44]. Searching for novel hosts or reservoirs of zoonotic pathogens should be a priority for public health and wildlife management institutions [32,45]. The introduction of SARS-CoV-2 to wildlife has caused the establishment of animal reservoirs (i.e., white-tail deer). Therefore, all efforts should be made to reduce the risk of new variant emergence and to protect both humans and wildlife (FAO, WHO, WOAH, 2021 [46]). We believe that preparation for a “Pathogen X” pandemic should employ a “One Health” approach with a strong emphasis on monitoring both domestic and wild animals.

Author Contributions

Conceptualisation, M.G. and J.B.; methodology, R.K., T.S. (Tomas Strandin), J.B. and M.G.; investigation, M.K., A.G., K.B., T.S. (Tarja Sironen), S.M., J.N. and M.G.; resources, M.G.; data curation, S.M. and M.G.; writing, original draft preparation, M.K., M.G. and R.K.; writing—review and editing, M.G., V.B. and T.S. (Tarja Sironen); supervision, M.G. and T.S. (Tarja Sironen); project administration, M.G. and J.B.; funding acquisition, M.G. All authors have read and agreed to the published version of the manuscript.

Funding

This research was co-funded through the 2018–2019 BiodivERsA joint call for research proposals under the BiodivERsA3 ERA-Net COFUND programme; the funding organisations ANR (France), DFG (Germany), EPA (Ireland), FWO (Belgium), and NCN (Poland). M.G., J.N. and A.G. were supported by the National Science Centre, Poland, under the BiodivERsA3 programme (2019/31/Z/NZ8/04028). M.K. was supported by the National Science Centre, Poland, under the Preludium BIS programme 2020/39/O/NZ6/01777.

Institutional Review Board Statement

Ethical review and approval were waived for this study since biological material came from dead animals shot by hunters according to Polish national law on hunting (Polish Hunting Law-Act Dz. U. 1995 Nr 147 poz. 713 published on 13 October 1995).

Informed Consent Statement

Not applicable.

Data Availability Statement

Data are available from authors upon request.

Acknowledgments

We thank the local hunter societies for helping us in sample collection; Alicja Rost and Ewa Zieliniewicz for laboratory assistance; and the University of Gdańsk, Medical University of Gdańsk, and University of Helsinki for their support.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Shan, C.; Yao, Y.F.; Yang, X.L.; Zhou, Y.W.; Gao, G.; Peng, Y.; Yang, L.; Hu, X.; Xiong, J.; Jiang, R.D.; et al. Infection with novel coronavirus (SARS-CoV-2) causes pneumonia in Rhesus macaques. Cell Res. 2020, 30, 670. [Google Scholar] [CrossRef] [PubMed]
  2. Shi, J.; Wen, Z.; Zhong, G.; Yang, H.; Wang, C.; Huang, B.; Liu, R.; He, X.; Shuai, L.; Sun, Z.; et al. Susceptibility of ferrets, cats, dogs and other domesticated animals to SARS-coronavirus 2. Science 2020, 368, 1016–1020. [Google Scholar] [CrossRef] [Green Version]
  3. Rabalski, L.; Kosinski, M.; Smura, T.; Aaltonen, K.; Kant, R.; Sironen, T.; Szewczyk, B.; Grzybek, M. Severe Acute Respiratory Syndrome Coronavirus 2 in Farmed Mink (Neovison vison), Poland. Emerg. Infect. Dis. 2021, 27, 2333–2339. [Google Scholar] [CrossRef]
  4. Oreshkova, N.; Molenaar, R.J.; Vreman, S.; Harders, F.; Oude Munnink, B.B.; Hakze-van der Honing, R.W.; Gerhards, N.; Tolsma, P.; Bouwstra, R.; Sikkema, R.S.; et al. SARS-CoV-2 infection in farmed minks, the Netherlands, April and May 2020. Eurosurveillance 2020, 25, 2001005. [Google Scholar] [CrossRef]
  5. Mahdy, M.A.A.; Younis, W.; Ewaida, Z. An Overview of SARS-CoV-2 and Animal Infection. Front. Vet. Sci. 2020, 7, 596391. [Google Scholar] [CrossRef]
  6. Rodriguez-Morales, A.J.; Dhama, K.; Sharun, K.; Tiwari, R.; Bonilla-Aldana, D.K. Susceptibility of felids to coronaviruses. Vet. Rec. 2020, 186, e21. [Google Scholar] [CrossRef] [PubMed]
  7. Banerjee, A.; Mossman, K.; Baker, M.L. Zooanthroponotic potential of SARS-CoV-2 and implications of reintroduction into human populations. Cell Host Microbe 2021, 29, 160–164. [Google Scholar] [CrossRef] [PubMed]
  8. Delahay, R.J.; de la Fuente, J.; Smith, G.C.; Sharun, K.; Snary, E.L.; Flores Girón, L.; Nziza, J.; Fooks, A.R.; Brookes, S.M.; Lean, F.Z.X.; et al. Assessing the risks of SARS-CoV-2 in wildlife. One Heal. Outlook 2021, 3, 7. [Google Scholar] [CrossRef] [PubMed]
  9. Koopmans, M. SARS-CoV-2 and the human-animal interface: Outbreaks on mink farms. Lancet Infect. Dis. 2020, 21, 18–19. [Google Scholar] [CrossRef]
  10. Farag, E.A.; Islam, M.M.; Enan, K.; El-Hussein, A.-R.M.; Bansal, D.; Haroun, M. SARS-CoV-2 at the human-animal interface: A review. Heliyon 2021, 7, e08496. [Google Scholar] [CrossRef]
  11. Oude Munnink, B.B.; Sikkema, R.S.; Nieuwenhuijse, D.F.; Molenaar, R.J.; Munger, E.; Molenkamp, R.; van der Spek, A.; Tolsma, P.; Rietveld, A.; Brouwer, M.; et al. Transmission of SARS-CoV-2 on mink farms between humans and mink and back to humans. Science 2020, 371, eabe5901. [Google Scholar] [CrossRef]
  12. Boklund, A.; Hammer, A.S.; Quaade, M.L.; Rasmussen, T.B.; Lohse, L.; Strandbygaard, B.; Jørgensen, C.S.; Olesen, A.S.; Hjerpe, F.B.; Petersen, H.H.; et al. SARS-CoV-2 in Danish Mink Farms: Course of the Epidemic and a Descriptive Analysis of the Outbreaks in 2020. Animals 2021, 11, 164. [Google Scholar] [CrossRef] [PubMed]
  13. Rabalski, L.; Kosinski, M.; Mazur-Panasiuk, N.; Szewczyk, B.; Bienkowska-Szewczyk, K.; Kant, R.; Sironen, T.; Pyrc, K.; Grzybek, M. Zoonotic spill-over of SARS-CoV-2: Mink-Adapted virus in humans. Clin. Microbiol. Infect. 2022, 28, 451.e1–451.e4. [Google Scholar] [CrossRef]
  14. Hammer, A.S.; Quaade, M.L.; Rasmussen, T.B.; Fonager, J.; Rasmussen, M.; Mundbjerg, K.; Lohse, L.; Strandbygaard, B.; Jørgensen, C.S.; Alfaro-Núñez, A.; et al. SARS-CoV-2 Transmission between Mink (Neovison vison) and Humans, Denmark. Emerg. Infect. Dis. 2021, 27, 547. [Google Scholar] [CrossRef]
  15. Chandler, J.C.; Bevins, S.N.; Ellis, J.W.; Linder, T.J.; Tell, R.M.; Jenkins-Moore, M.; Root, J.J.; Lenoch, J.B.; Robbe-Austerman, S.; DeLiberto, T.J.; et al. SARS-CoV-2 exposure in wild white-tailed deer (Odocoileus virginianus). Proc. Natl. Acad. Sci. USA 2021, 118, e2114828118. [Google Scholar] [CrossRef]
  16. Palmer, M.V.; Martins, M.; Falkenberg, S.; Buckley, A.; Caserta, L.C.; Mitchell, P.K.; Cassmann, E.D.; Rollins, A.; Zylich, N.C.; Renshaw, R.W.; et al. Susceptibility of White-Tailed Deer (Odocoileus virginianus) to SARS-CoV-2. J. Virol. 2021, 95, e00083-21. [Google Scholar] [CrossRef] [PubMed]
  17. Cool, K.; Gaudreault, N.N.; Morozov, I.; Trujillo, J.D.; Meekins, D.A.; McDowell, C.; Carossino, M.; Bold, D.; Mitzel, D.; Kwon, T.; et al. Infection and transmission of ancestral SARS-CoV-2 and its alpha variant in pregnant white-Tailed deer. Emerg. Microbes Infect. 2022, 11, 95–112. [Google Scholar] [CrossRef]
  18. Hale, V.L.; Dennis, P.M.; McBride, D.S.; Nolting, J.M.; Madden, C.; Huey, D.; Ehrlich, M.; Grieser, J.; Winston, J.; Lombardi, D.; et al. SARS-CoV-2 infection in free-ranging white-Tailed deer. Nature 2022, 602, 481–486. [Google Scholar] [CrossRef]
  19. Vandegrift, K.J.; Yon, M.; Surendran-Nair, M.; Gontu, A.; Amirthalingam, S.; Nissly, R.H.; Levine, N.; Stuber, T.; DeNicola, A.J.; Boulanger, J.R.; et al. Detection of SARS-CoV-2 Omicron variant (B.1.1.529) infection of white-tailed deer. bioRxiv Prepr. Serv. Biol. 2022. [Google Scholar]
  20. Roundy, C.M.; Nunez, C.M.; Thomas, L.F.; Auckland, L.D.; Tang, W.; Richison, J.J.; Green, B.R.; Hilton, C.D.; Cherry, M.J.; Pauvolid-Corrêa, A.; et al. High Seroprevalence of SARS-CoV-2 in White-Tailed Deer (Odocoileus virginianus) at One of Three Captive Cervid Facilities in Texas. Microbiol. Spectr. 2022, 10, e00576-22. [Google Scholar] [CrossRef]
  21. Kuchipudi, S.V.; Surendran-Nair, M.; Ruden, R.M.; Yon, M.; Nissly, R.H.; Vandegrift, K.J.; Nelli, R.K.; Li, L.; Jayarao, B.M.; Maranas, C.D.; et al. Multiple spillovers from humans and onward transmission of SARS-CoV-2 in white-tailed deer. Proc. Natl. Acad. Sci. USA 2022, 119, e2121644119. [Google Scholar] [CrossRef]
  22. Kotwa, J.D.; Massé, A.; Gagnier, M.; Aftanas, P.; Blais-Savoie, J.; Bowman, J.; Buchanan, T.; Chee, H.-Y.; Dibernardo, A.; Kruczkiewicz, P.; et al. First detection of SARS-CoV-2 infection in Canadian wildlife identified in free-ranging white-tailed deer (Odocoileus virginianus) from southern Québec, Canada. bioRxiv 2022, 476458. [Google Scholar]
  23. Palermo, P.M.; Orbegozo, J.; Watts, D.M.; Morrill, J.C. SARS-CoV-2 Neutralizing Antibodies in White-Tailed Deer from Texas. Vector-Borne Zoonotic Dis. 2021, 22, 62–64. [Google Scholar] [CrossRef] [PubMed]
  24. Pickering, B.; Lung, O.; Maguire, F.; Kruczkiewicz, P.; Kotwa, J.D.; Buchanan, T.; Gagnier, M.; Guthrie, J.L.; Jardine, C.M.; Marchand-Austin, A.; et al. Highly divergent white-tailed deer SARS-CoV-2 with potential deer-to-human transmission. bioRxiv 2022, 481551. [Google Scholar]
  25. World Organisation for Animal Health OIE Statement on Monitoring White-Tailed Deer for SARS-CoV-2; World Organisation for Animal Health: Paris, France, 2022.
  26. Holding, M.; Otter, A.D.; Dowall, S.; Takumi, K.; Hicks, B.; Coleman, T.; Hemingway, G.; Royds, M.; Findlay-Wilson, S.; Curran-French, M.; et al. Screening of wild deer populations for exposure to SARS-CoV-2 in the United Kingdom, 2020–2021. Transbound. Emerg. Dis. 2022, 69, e3244–e3249. [Google Scholar] [CrossRef] [PubMed]
  27. Wernike, K.; Fischer, L.; Holsteg, M.; Aebischer, A.; Petrov, A.; Marquart, K.; Schotte, U.; Schön, J.; Hoffmann, D.; Hechinger, S.; et al. Serological screening in wild ruminants in Germany, 2021/2022: No evidence of SARS-CoV-2, bluetongue virus or pestivirus spread but high seroprevalences against Schmallenberg virus. Transbound. Emerg. Dis. 2022, 69, e3289–e3296. [Google Scholar] [CrossRef]
  28. Moreira-Soto, A.; Walzer, C.; Czirják, G.Á.; Richter, M.H.; Marino, S.F.; Posautz, A.; De Yebra Rodo, P.; McEwen, G.K.; Drexler, J.F.; Greenwood, A.D. Serological Evidence That SARS-CoV-2 Has Not Emerged in Deer in Germany or Austria during the COVID-19 Pandemic. Microorganisms 2022, 10, 748. [Google Scholar] [CrossRef] [PubMed]
  29. Zachos, F.E.; Hartl, G.B. Phylogeography, population genetics and conservation of the European red deer Cervus elaphus. Mamm. Rev. 2011, 41, 138–150. [Google Scholar] [CrossRef]
  30. Głόwny Urząd Statystyczny. Obszary Tematyczne/Roczniki Statystyczne/Roczniki Statystyczne/Rocznik Demograficzny. Głόwny Urząd Statystyczny: Warsaw, Poland, 2013. [Google Scholar]
  31. World Organisation for Animal Health Infection with SARS-COV-2 in Animals; World Organisation for Animal Health: Paris, France, 2022.
  32. Grzybek, M.; Sironen, T.; Mäki, S.; Tołkacz, K.; Alsarraf, M.; Strachecka, A.; Paleolog, J.; Biernat, B.; Szczepaniak, K.; Behnke-Borowczyk, J.; et al. Zoonotic Virus Seroprevalence among Bank Voles, Poland, 2002–2010. Emerg. Infect. Dis. 2019, 25, 1607–1609. [Google Scholar] [CrossRef] [PubMed]
  33. Bourret, V.; Dutra, L.; Alburkat, H.; Mäki, S.; Lintunen, E.; Wasniewski, M.; Kant, R.; Grzybek, M.; Venkat, V.; Asad, H.; et al. Serological surveillance for wild rodent infection with SARS-CoV-2 in Europe. bioRxiv 2022, 502439. [Google Scholar]
  34. Grzybek, M.; Tołkacz, K.; Sironen, T.; Mäki, S.; Alsarraf, M.; Behnke-Borowczyk, J.; Biernat, B.; Nowicka, J.; Vaheri, A.; Henttonen, H.; et al. Zoonotic Viruses in Three Species of Voles from Poland. Animals 2020, 10, 1820. [Google Scholar] [CrossRef] [PubMed]
  35. Damas, J.; Hughes, G.M.; Keough, K.C.; Painter, C.A.; Persky, N.S.; Corbo, M.; Hiller, M.; Koepfli, K.-P.; Pfenning, A.R.; Zhao, H.; et al. Broad host range of SARS-CoV-2 predicted by comparative and structural analysis of ACE2 in vertebrates. Proc. Natl. Acad. Sci. USA 2020, 117, 22311–22322. [Google Scholar] [CrossRef] [PubMed]
  36. Grund, M.D.; McAninch, J.B.; Wiggers, E.P. Seasonal Movements and Habitat Use of Female White-Tailed Deer Associated with an Urban Park. J. Wildl. Manage. 2002, 66, 123. [Google Scholar] [CrossRef]
  37. Blanchong, J.A.; Sorin, A.B.; Scribner, K.T. Genetic diversity and population structure in urban white-tailed deer. J. Wildl. Manage. 2013, 77, 855–862. [Google Scholar] [CrossRef]
  38. Etter, D.R.; Hollis, K.M.; Van Deelen, T.R.; Ludwig, D.R.; Chelsvig, J.E.; Anchor, C.L.; Warner, R.E. Survival and Movements of White-Tailed Deer in Suburban Chicago, Illinois. J. Wildl. Manage. 2002, 66, 500. [Google Scholar] [CrossRef]
  39. Coppes, J.; Burghardt, F.; Hagen, R.; Suchant, R.; Braunisch, V. Human recreation affects spatio-temporal habitat use patterns in red deer (Cervus elaphus). PLoS ONE 2017, 12, e0175134. [Google Scholar] [CrossRef] [Green Version]
  40. Grear, D.A.; Samuel, M.D.; Scribner, K.T.; Weckworth, B.V.; Langenberg, J.A. Influence of genetic relatedness and spatial proximity on chronic wasting disease infection among female white-tailed deer. J. Appl. Ecol. 2010, 47, 532–540. [Google Scholar] [CrossRef]
  41. Walton, L.; Marion, G.; Davidson, R.S.; White, P.C.L.; Smith, L.A.; Gavier-Widen, D.; Yon, L.; Hannant, D.; Hutchings, M.R. The ecology of wildlife disease surveillance: Demographic and prevalence fluctuations undermine surveillance. J. Appl. Ecol. 2016, 53, 1460–1469. [Google Scholar] [CrossRef] [Green Version]
  42. Grzybek, M.; Alsarraf, M.; Tołkacz, K.; Behnke-Borowczyk, J.; Biernat, B.; Stańczak, J.; Strachecka, A.; Guz, L.; Szczepaniak, K.; Paleolog, J.; et al. Seroprevalence of TBEV in bank voles from Poland-a long-term approach. Emerg. Microbes Infect. 2018, 7, 145. [Google Scholar] [CrossRef] [Green Version]
  43. Grzybek, M.; Tołkacz, K.; Alsarraf, M.; Dwużnik, D.; Szczepaniak, K.; Tomczuk, K.; Biernat, B.; Behnke, J.M.; Bajer, A. Seroprevalence of Tick-Borne Encephalitis Virus in Three Species of Voles (Microtus spp.) in Poland. J. Wildl. Dis. 2020, 56, 492. [Google Scholar] [CrossRef]
  44. Tołkacz, K.; Alsarraf, M.; Kowalec, M.; Dwużnik, D.; Grzybek, M.; Behnke, J.M.; Bajer, A. Bartonella infections in three species of Microtus: Prevalence and genetic diversity, vertical transmission and the effect of concurrent Babesia microti infection on its success. Parasit. Vectors 2018, 11, 491. [Google Scholar] [CrossRef]
  45. Grzybek, M.; Cybulska, A.; Tołkacz, K.; Alsarraf, M.; Behnke-Borowczyk, J.; Szczepaniak, K.; Strachecka, A.; Paleolog, J.; Moskwa, B.; Behnke, J.M.; et al. Seroprevalence of Trichinella spp. infection in bank voles (Myodes glareolus)-A long term study. Int. J. Parasitol. Parasites Wildl. 2019, 9, 144–148. [Google Scholar] [CrossRef]
  46. Food and Agriculture Organization, World Organisation for Animal Health, and World Health Organization. Joint Statement on the Prioritisation of Monitoring SARS-CoV-2 Infection in Wildlife and Preventing the Formation of Animal Reservoirs; World Organisation for Animal Health: Paris, France, 2022. [Google Scholar]
Figure 1. Four hunting districts are located in north-eastern Poland. The black bar indicates 100 km distance (Map data, Google, 2022).
Figure 1. Four hunting districts are located in north-eastern Poland. The black bar indicates 100 km distance (Map data, Google, 2022).
Viruses 14 02290 g001
Table 1. Location, status, and number of red deer (Cervus elaphus) individuals sampled.
Table 1. Location, status, and number of red deer (Cervus elaphus) individuals sampled.
Hunting District/DeerDoeBullFawnTotal
Strzalowo162018
Olsztyn124319
Milomlyn4015
Nidzica84416
Nowe Ramuki207532
Total60171390
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Krupińska, M.; Borkowski, J.; Goll, A.; Nowicka, J.; Baranowicz, K.; Bourret, V.; Strandin, T.; Mäki, S.; Kant, R.; Sironen, T.; et al. Wild Red Deer (Cervus elaphus) Do Not Play a Role as Vectors or Reservoirs of SARS-CoV-2 in North-Eastern Poland. Viruses 2022, 14, 2290. https://doi.org/10.3390/v14102290

AMA Style

Krupińska M, Borkowski J, Goll A, Nowicka J, Baranowicz K, Bourret V, Strandin T, Mäki S, Kant R, Sironen T, et al. Wild Red Deer (Cervus elaphus) Do Not Play a Role as Vectors or Reservoirs of SARS-CoV-2 in North-Eastern Poland. Viruses. 2022; 14(10):2290. https://doi.org/10.3390/v14102290

Chicago/Turabian Style

Krupińska, Martyna, Jakub Borkowski, Aleksander Goll, Joanna Nowicka, Karolina Baranowicz, Vincent Bourret, Tomas Strandin, Sanna Mäki, Ravi Kant, Tarja Sironen, and et al. 2022. "Wild Red Deer (Cervus elaphus) Do Not Play a Role as Vectors or Reservoirs of SARS-CoV-2 in North-Eastern Poland" Viruses 14, no. 10: 2290. https://doi.org/10.3390/v14102290

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