Next Article in Journal
Novel Viruses Found in Antricola Ticks Collected in Bat Caves in the Western Amazonia of Brazil
Previous Article in Journal
Global Gene Expression Analysis of the Brainstem in EV71- and CVA16-Infected Gerbils
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Viruses
Volume 12
Issue 1
10.3390/v12010047
viruses-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Discovery and Prevalence of Divergent RNA Viruses in European Field Voles and Rabbits

by
Theocharis Tsoleridis
1,2,*,
Joseph G. Chappell
1,2,
Elodie Monchatre-Leroy
3,
Gérald Umhang
3,
Mang Shi
4,
Malcolm Bennett
5,
Rachael E. Tarlinton
5,
C. Patrick McClure
1,2,
Edward C. Holmes
4 and
Jonathan K. Ball
1,2,*
1
School of Life Sciences, The University of Nottingham, Nottingham NG7 2UH, UK
2
Wolfson Centre for Global Virus Infections, The University of Nottingham, Nottingham NG7 2UH, UK
3
Anses, Laboratoire de la Rage et de la Faune Sauvage, 54220 Malzeville, France
4
Marie Bashir Institute for Infectious Diseases and Biosecurity, School of Life and Environmental Sciences and School of Medical Sciences, The University of Sydney, Sydney, NSW 2006, Australia
5
School of Veterinary Medicine and Science, University of Nottingham, Sutton Bonington Campus, Loughborough LE12 5RD, UK
*
Authors to whom correspondence should be addressed.
Viruses 2020, 12(1), 47; https://doi.org/10.3390/v12010047
Submission received: 16 December 2019 / Revised: 24 December 2019 / Accepted: 27 December 2019 / Published: 31 December 2019
(This article belongs to the Section Animal Viruses)
Browse Figures
Review Reports Versions Notes

Abstract

:
The advent of unbiased metagenomic virus discovery has revolutionized studies of virus biodiversity and evolution. Despite this, our knowledge of the virosphere, including in mammalian species, remains limited. We used unbiased metagenomic sequencing to identify RNA viruses in European field voles and rabbits. Accordingly, we identified a number of novel RNA viruses including astrovirus, rotavirus A, picorna-like virus and a narmovirus (paramyxovirus). In addition, we identified a sobemovirus and a novel luteovirus that likely originated from the rabbit diet. These newly discovered viruses were often divergent from those previously described. The novel astrovirus was most closely related to a virus sampled from the rodent-eating European roller bird (Coracias garrulous). PCR screening revealed that the novel narmovirus in the UK field vole had a prevalence of approximately 4%, and shared common ancestry with other rodent narmoviruses sampled globally. Two novel rotavirus A sequences were detected in a UK field vole and a French rabbit, the latter with a prevalence of 5%. Finally, a highly divergent picorna-like virus found in the gut of the French rabbit virus was only ~35% similar to an arilivirus at the amino acid level, suggesting the presence of a novel viral genus within the Picornaviridae.

1. Introduction

RNA viruses likely infect every species of cellular life [1]. However, due to their potential and sometimes profound impact on public health and the agricultural industries, most attention has understandably been directed toward those viruses that affect humans and economically important animals and plants. Hence, our knowledge of the diversity, evolution and functional biology of RNA viruses infecting a wider range of host species is limited. This major sampling bias has been in part addressed by recent studies reporting the discovery of a multitude of new invertebrates and vertebrate viruses, massively increasing the known virosphere and demonstrating the importance of investigating species that are often overlooked [2,3,4,5,6,7,8].
Rodents are an important source of emerging virus infections [9] and are reservoir hosts for a wide range of viruses including coronaviruses, paramyxoviruses and picornaviruses [10,11,12,13]. The abundant and diverse virome harbored by rodents likely reflects their propensity to live in relatively large and dense populations and their speciose nature: Rodentia is the largest mammalian order, comprising 2200 species, and hence approximately 40% of all mammalian species [14,15]. Lagomorphs are closely related to rodents, although comprise only 89 extant species including rabbits and hares [16]. Recent reports have shown that rabbits and hares harbor an array of viruses such as caliciviruses, coronaviruses, bocaparvoviruses, hepatitis E and myxomavirus [17,18,19,20,21,22]. Importantly, the discovery of these novel viruses in rodents and lagomorphs has provided a more refined understanding of the evolutionary history of known pathogenic viruses, including coronaviruses, hepatitis A virus and hepaciviruses [23,24,25,26,27]. However, despite these recent advances, we have only scratched the surface of the potential diversity of rodent and lagomorph viruses.
In this study, we generated and investigated RNA sequencing data from European rodents and rabbits that were previously found to be positive for novel alphacoronaviruses and hantaviruses [11,20,25,28]. Our aim was to perform an unbiased discovery of additional viruses that were present in these samples, reveal their evolutionary history, and assess their prevalence in their host populations. Accordingly, we demonstrate the presence of novel and highly divergent RNA viruses and discuss the potential pitfalls of the use of enteric samples for virus discovery.

2. Materials and Methods

2.1. Samples

We re-analyzed two samples previously reported to harbor alphacoronaviruses [11,20,25] and one sample positive for hantavirus [28]. These samples included a UK Microtus agrestis gut (UKMa1), a UK Microtus agrestis kidney (UKMa K4D) and a France-resident Oryctolagus cuniculus intestinal wash (L232) (Table 1).
Additional screening for paramyxoviruses was performed on 130 field vole kidney samples collected from two locations in the UK (Cheshire and Leicestershire (Figure 1A)) [11,28], using primers specific for the novel paramyxovirus identified in UKMa K4D. The primers were targeting the L gene F: 5′-ACTAATTACATTTACCAACAAGG-3′ and R: 5′-AGTTGGTCACGTTCWATAAT-3′ and generated a 245 bp PCR product.
Moreover, screening with primers specific for the rotavirus A that was identified in the French rabbit L232 was performed on 268 rabbit intestinal wash samples collected from 10 departments of France (North-West: Finistère, Morbihan, Loire Atlantique. Centre: Creuse, Charente, Puy-de-Dôme, Deux-Sèvres, Loire and Dordogne. South-West: Pyrénées Orientales (Figure 1B)) [20]. The primers targeted the NSP4 segment F: 5′-TGAAGATCCAGGAATGGCGT-3′ and R: 5′-ACCTGCCAACTTTAATAGCGT-3′ generating a 178 bp PCR product.
All the samples used in this study were sourced from existing pest controls programs and approved by the University of Nottingham School of Veterinary Science Ethical Panel, reference numbers 1602 151102 and 1786 160518.

2.2. Nucleic Acid Preparation

Total RNA was extracted from 1 mm3 sections of kidney (UKMa K4D) or intestinal tissue samples (UKMa1) using the GenElute™ Mammalian Total RNA Miniprep Kit (Sigma Aldrich, Steinheim, Germany). Total RNA was extracted from intestinal fluid for the French L232 rabbit using the QIAamp Viral RNA Mini Kit (Qiagen, Hilden, Germany). The RNA to cDNA EcoDry™ Premix—Random Hexamers kit (Clontech, Saint-Germain-en-Laye, France)—was used for cDNA synthesis.

2.3. High-Throughput Sequencing

High-throughput sequencing was performed on total RNA extracted from all the three samples (UKMa K4D, UKMa1 and L232) using the Illumina HiSeq platform at Source Bioscience, Nottingham, UK. Genomic DNA (gDNA) was depleted using DNaseI, and ribosomal RNA (rRNA) was removed using NEBNext® rRNA Depletion Kit (Human/Mouse/Rat) with RNA Sample Purification Beads (New England Biolabs, Ipswich, MA, USA) prior to the library construction. Each read length was 2 × 150 bp, and the insert size was 200 bp on average. All the sequence data generated were analyzed using the Geneious Prime 2019.0.4 software. The reads were assembled into contiguous sequence (contigs) with de novo assembly performed with Geneious Prime. By using BlastX, the assembled contigs were compared against the RefSeq sequence database of all the virus proteins downloaded from GenBank. The minimum e-value was set to 1 × 10−5 to maintain both high sensitivity and low rates of false positive hits [2]. All the contigs that matched viruses were confirmed by PCR.

2.4. Analysis of Virus Abundance

The number of viral reads in each data set was measured by mapping the raw total reads generated from the high-throughput sequencing to the identified viral contigs. The host ribosomal protein L4 (RPL4) gene was used as a host gene reference marker. The Oryctolagus cuniculus RPL4 gene (NM_001195817.1) was used for the rabbit, while the Microtus ochrogaster RPL4 gene (XM_005347781.3) was employed for the field vole. The abundance of viral reads was calculated by dividing the number of mapped reads by the total number of reads in each library. The graphs were generated with GraphPad Prism 8 (v8.1.2, GraphPad Software, San Diego, California USA).

2.5. Contig Confirmation PCR

Specific primers were designed for contig confirmation, and for gap-filling between contigs, based on the known sequences of the contigs. All the primers were evaluated in silico with the Primer3 online tool. The Geneious Prime software was used for mapping and annotating. PCR reactions were carried out in a PTC-200 Peltier Thermal Cycler (MJ Research, Waltham, Massachusetts, USA). The PCR reactions were performed with HotStarTaq Polymerase (Qiagen, Hilden, Germany) according to manufacturer’s instructions. The PCR products were subjected to Sanger sequencing at Source Bioscience, Nottingham.
All the virus sequences generated in this study have been deposited on GenBank under the accession numbers MN626413-MN626440.

2.6. Phylogenetic Analysis

To facilitate phylogenetic analysis, 57 reference paramyxovirus sequences were downloaded from GenBank and the F, H, L, M, N and P genes extracted. Similarly, 50 rotavirus A reference sequences were downloaded for the VP1, VP2, VP3, VP6, NSP2, NSP3 segments, as were 47 reference sequences of astroviruses for ORF1a, ORF1b and capsid genes. Amino acid and nucleotide sequences were aligned using ClustalW [29] and phylogenetic analyses were performed using the maximum likelihood (ML) method within the Molecular Evolutionary Genetics Analysis version 7 (MEGA7) [30] package. Analyses of aligned amino acid sequences utilized a Jones–Taylor–Thornton (JTT) amino acid substitution model with uniform rates of variation, and complete deletion of gaps, with statistical robustness assessed using bootstrap resampling (500 pseudo-replicates). In addition, a phylogenetic analysis of nucleotide sequence data was performed using the General Time Reversible (GTR) nucleotide substitution model with a gamma distribution of rate variation, a class of invariant sites (Γ+I), and complete deletion of gaps, with statistical robustness assessed using bootstrap resampling (100 pseudo-replicates). As the nucleotide-based phylogenies (Figures S1–S5) were topologically similar to those inferred using amino acid sequences only the latter are shown in the main text.
Details on the number of sequences used for the phylogenetic analysis of each gene as well as their length are given in Table 1.

3. Results

3.1. Abundance of Viral Reads

A total of 51,744,718 paired reads were generated for UKMa K4D, 63,152,134 for UKMa1, and 8,396,334 for L232. The rabbit L232 (intestinal wash) had the highest abundance of viral reads ranging between 0.0008% and 0.19%, followed by the field vole UKMa K4D (kidney) with 0.0003–0.002% and finally the field vole UKMa1 (intestine) with 0.00004–0.0002% (Figure 2A,B). The number of host RPL4 reads was proportional to the number of viral reads in each sample. The abundance of viral and RPL4 reads in each animal were correlated: the animals with the highest abundance of host reads also had the highest abundance of viral reads. A novel rotavirus A, picorna-like virus and coronavirus (previous study [20]) were identified in the rabbit, a novel paramyxovirus and hantavirus (previous study [28]) in the field vole UKMa K4D, and a novel astrovirus, rotavirus A and coronavirus (previous study [11,25]) in the field vole UKMa1 (Figure 2A,B). We now briefly describe each in turn.

3.2. Paramyxovirus

A novel narmovirus was discovered in the kidney of the UK field vole (UKMa K4D). A total of 6734 nt were retrieved for this virus, representing the F, H, L, M, N and P genes (Table 1). In terms of sequence similarity, its closest relative was Bank vole virus (MF943130), with 76%, 61%, 71%, 87%, 90% and 62% similarity for F, H, L, M, N and P genes, respectively, at the amino acid level (Table 2).
To determine the evolutionary relationship of the novel UK field vole paramyxovirus to the other viruses within the family, we performed phylogenetic analyses for each of the F, H, L, M, N and P genes. The same phylogenetic pattern was observed in every gene, with the rodent narmoviruses comprising a distinct clade within the family with >90% bootstrap support (Figure 3, Figures S1 and S2). Specifically, this rodent-specific clade comprised UKMa K4D, Bank vole virus (MF943130), Mossman virus (NC005339) and Nariva virus (NC017937), and has been named Narmovirus genus within the Paramyxoviridae by ICTV.
Further PCR screening on additional UK field vole samples showed 3.8% prevalence (5 positives in 130 voles tested) (Figure 1A).

3.3. Rotavirus A

Two rotaviruses A were discovered in the intestinal samples of the UK field vole (UKMa1) and the French rabbit L232. A total of 7565 nt and 13,278 nt (Table 1) were retrieved for UKMa1 and L232, respectively. Blastn analysis of all the available rotavirus A segments (VP1, VP2, VP3, VP6, VP7, NSP2, NSP3, and NSP4) revealed that the rabbit RVA was closely related (>96%) to other viruses from a range of host species including human, bovine, giraffe and roe deer (Table 2). These findings were confirmed by the phylogenetics analysis for each segment (Figure 4, Figures S3 and S4). In contrast, the field vole rotavirus A was more divergent, with nucleotide similarities of ~75% to the closest relatives in the VP1, VP2, VP3, VP6, NSP2 and NSP3 segments, suggesting a novel genotype of RVA in each of the retrieved segments (Table 2). Phylogenetic analysis showed that UKMa1 RVA formed a distinct lineage within rotavirus A species, although it loosely grouped with a mouse RVA in the VP3 phylogeny (Figure 4 and Figure S3). Detailed conclusions regarding the evolutionary history of each segment of the rabbit and field vole RVA could not be drawn due to low bootstrap support on the branches of each tree. Additional PCR screening on more French rabbit intestinal washes from the same cohort revealed a 4.9% prevalence (13 positives in 268 samples). Six originated from Creuse department in central France, four from the neighboring Puy-de-Dôme department, with the other three from the departments Deux-Sèvres, Loire and Dordogne (Figure 1B). All the positive samples originated from central France with the exception of Charente, whereas no positive cases were identified in the north-west and south-west departments. However, no more positives were detected in the UK rodent cohort.

3.4. Astrovirus

A novel mamastrovirus was discovered in the intestine of the UK field vole (UKMa1). In total, 4334 nt were retrieved for the ORF1a, ORF1b and the capsid genes (Table 1). BlastX results revealed that the closest relative was Astrovirus Er/SZAL6/HUN/2011 from a European roller bird (Coracias garrulus). The two viruses were 46%, 70% and 73% similar at the amino acid level in the ORF1a, ORF1b and capsid genes, respectively (Table 2). Phylogenetic analysis of all the three genes showed that the field vole and roller viruses formed a distinct clade within the Mamastrovirus genus supported by >90% bootstrap replicates in capsid and ORF1a (Figure 5 and Figure S5).

3.5. Picorna-Like Virus

Two contigs of a novel picorna-like virus were retrieved from the intestine of the French rabbit L232 with a total of 5642 nt (4752 nt and 890 nt) (Table 1). A blastX analysis revealed that in the NTPase, 3C peptidase, RNA-dependent-RNA-polymerase (RdRp) and capsid proteins the novel rabbit picorna-like virus was only 44%, 52%, 61% and 34% similar at the amino acid level to their closest relative (Blackbird arilivirus) (NC040820) (Table 2). Phylogenetic analysis revealed that the virus clustered with the Blackbird arilivirus with 100% bootstrap support (Figure 6). Surprisingly, both viruses clustered within the invertebrate picorna-like viruses, suggesting that they might have in fact been derived from a dietary component.

3.6. Plant Viruses

In addition to the vertebrate and invertebrate viruses described above, two likely plant viruses were detected in the intestinal wash of the French rabbit: a sobemovirus and a luteovirus. A 1653 nt contig was retrieved for the sobemovirus, encompassing polyprotein P2ab (Table 1). The polyprotein P2ab was both 98% similar to the closest relative, Cocksfoot mottle virus, at the amino acid level.
Three contigs with a total of 3909 nt were recovered for the novel luteovirus. They contained a peptidase, RdRp, coat protein (Table 1) that were ~39%, 78 and 54% similar, respectively, to their closest relative at the amino acid level (Table 2).

4. Discussion

Metagenomic next-generation sequencing enables the unbiased discovery of viruses within samples that would otherwise be missed with conventional methods targeted to specific viruses. Using this approach, we report the discovery of a novel field vole paramyxovirus (UKMa K4D) and a novel rabbit rotavirus A (L232). We also identifed a novel astrovirus, rotavirus A, in a field vole (UKMa1) and a picorna-like virus in a rabbit (L232). While unbiased metagenomics is capable of identifying novel viral species, it is noticeable that only a small proportion of the total number of reads corresponded to viral reads, confirming previous observations [31]. An obvious limitation of metagenomics in detecting viral genomes is the requirement for a sufficient number of viral reads within a library to detect a virus and construct complete virus genomes, which is itself dependent on the RNA quality within a sample [32]. Comparison of virus abundance in each animal revealed an association between number of viral/host reads and sample quality, with rabbit L232 being the best quality sample. The difference between the quality of the rabbit and the field vole samples is likely due to the method of collection; the rabbit was euthanized and immediately processed [20], whereas the field voles were a result of routine pest control, and there was a delay between time of death and collection and sample preservation [11].
This study presents the first evidence of a narmovirus in European field voles. In every gene analyzed this virus clustered with narmoviruses that had been isolated from a range of rodents from diverse locations globally. Specifically, other viruses within this clade were identified in bank voles from Russia [33], wild rats in Australia [34] and common cane mice in Trinidad [35]. Such a phylogenetic pattern suggests that rodent narmoviruses are temporally and spatially widespread and arose from a single common ancestor, although this will need to be confirmed with a larger sample of viruses. We previously observed a similar pattern of shared ancestry for rodent alphacoronaviruses [25].
Phylogenetic analysis of the rabbit rotavirus A revealed both high sequence similarity (>96%) and clustering with rotavirus A sequences sampled from different mammalian species. However, the lack of a several reference sequences for all the segments analyzed, together with the ability of rotaviruses A to reassort [36], makes it difficult to draw any detailed conclusions about the origin of these viruses. In contrast, the rotavirus A identified in the UK field vole was considerably more divergent phylogenetically, falling in a more basal position, although with some similarity to another rodent rotavirus. In addition, the closest relatives only exhibited ~75% sequence similarity (Table 2), thus fulfilling the criteria for a novel rotavirus A genotype in each segment [37], and perhaps indicating the presence of another rodent-specific virus lineage.
Although next-generation metagenomic sequencing has fundamentally changed virus discovery, many viruses still lack information about their host species [38] and the interpretation of results is greatly complicated by commonplace reagent contamination [39]. It is therefore important to confirm any metagenomic findings by PCR on the original samples. In addition, depending on the tissue, it may be difficult to determine the exact virus host (i.e., intestinal tissue sample) due to ‘contamination’ from the diet of the animal. Indeed, previous studies have shown the detection of viruses in gut and fecal samples of humans and animals that are likely derived from their diet [40,41,42]. Due to their detection in multiple animals we are confident that the field vole and the rabbit were the likely hosts for the paramyxovirus and the rotavirus A, respectively. However, it has not been determined whether the field vole is the true host of the rotavirus and astrovirus detected. The field vole-related astrovirus clustered with an astrovirus detected in fecal samples of European rollers (Coracias garrulus) in Hungary [43]. This bird species is found in a wide variety of habitats and is known to feed on insects and small vertebrates, including rodents [44]. However, as noted by the original authors, this virus shared a common ancestor with rodent-borne astroviruses so it is possible that it has a dietary origin since European rollers prey on small rodents [44]. Hence, the clade comprising UKMa1 and Er/SZAL6/HUN/2011 astrovirus may in reality represent a rodent clade of mamastroviruses. This will require confirmation through the analysis of additional rodent astroviruses.
Another example of probable dietary contamination was the detection of the novel picorna-like virus and the plant viruses in the rabbit intestinal sample. According to our phylogenetic analysis, the host of the picorna-like virus was likely an invertebrate because it closely grouped with other invertebrate picorna-like viruses such as Beihai barnacle virus 4 (NC032446) and Beihai sesarmid crab virus 2 (NC032641). Dietary contamination was also the likely explanation for Blackbird arilivirus (NC040820) discovered in a metagenomic analysis of a mixed pool obtained from brain, lung and intestine tissues [45]. While the original authors suggested that the virus might have a plant origin, our phylogenetic indicates that both viruses in fact likely have an invertebrate host.
In sum, our results confirm that metagenomic next-generation sequencing is capable of discovering previously unknown and divergent RNA viruses. However, our data also highlight that definitive identification of the likely host species can be complicated because of dietary or environmental contamination. As a consequence, true assignment of host species requires wider prevalence studies together analysis of multiple tissue types.

Supplementary Materials

The following are available online at https://www.mdpi.com/1999-4915/12/1/47/s1, Figure S1: Phylogenetic relationships of the field vole paramyxovirus based on the L, F and H genes., Figure S2: Phylogenetic relationships of the field vole paramyxovirus based on the M, N and P genes, Figure S3: Phylogenetic relationships of the field vole and the rabbit rotavirus A based on the VP1, VP2 and VP3 segments, Figure S4: Phylogenetic relationships of the field vole and the rabbit rotavirus A based on the VP6, VP7 and NSP2 segments, Figure S5: Phylogenetic relationships of the novel field vole astrovirus based on the ORF1a, ORF1b and capsid genes.

Author Contributions

T.T., C.P.M. and J.K.B. conceived and designed the experiments; T.T., J.G.C., C.P.M., E.M.-L. and G.U. performed the experiments; E.M.-L., G.U., R.E.T. and M.B. provided samples; T.T., M.S., E.C.H. and J.K.B. analyzed the data. T.T., E.C.H. and J.K.B. wrote the paper; all authors edited the final draft. All authors have read and agreed to the published version of the manuscript.

Funding

This study was supported by the Biotechnology and Biological Sciences Research Council [grant number BB/J014508/1]. ECH is supported by an ARC Australian Laureate Fellowship (FL170100022).

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Koonin, E.V.; Senkevich, T.G.; Dolja, V.V. The ancient Virus World and evolution of cells. Biol. Direct 2006, 1, 29. [Google Scholar] [CrossRef] [Green Version]
  2. Shi, M.; Lin, X.D.; Tian, J.H.; Chen, L.J.; Chen, X.; Li, C.X.; Qin, X.D.; Jun, L.; Cao, J.P.; Eden, J.S.; et al. Redefining the invertebrate RNA virosphere. Nature 2016, 540, 539. [Google Scholar] [CrossRef]
  3. Shi, M.; Lin, X.D.; Chen, X.; Tian, J.H.; Chen, L.J.; Li, K.; Wang, W.; Eden, J.S.; Shen, J.J.; Liu, L.; et al. The evolutionary history of vertebrate RNA viruses. Nature 2018, 556, 197–202. [Google Scholar] [CrossRef] [PubMed]
  4. Lauber, C.; Seitz, S.; Mattei, S.; Suh, A.; Beck, J.; Herstein, J.; Börold, J.; Salzburger, W.; Kaderali1, L.; Briggs, J.A.G.; et al. Deciphering the Origin and Evolution of Hepatitis B Viruses by Means of a Family of Non-enveloped Fish. Viruses. Cell Host Microbe 2017, 22, 387–399. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Li, C.X.; Shi, M.; Tian, J.H.; Lin, X.D.; Kang, Y.J.; Chen, L.J.; Qin, X.C.; Xu, J.; Holmes, E.C.; Zhang, Y.Z. Unprecedented genomic diversity of RNA viruses in arthropods reveals the ancestry of negative-sense RNA viruses. eLife 2015, 4, e05378. [Google Scholar] [CrossRef] [PubMed]
  6. Webster, C.L.; Waldron, F.M.; Robertson, S.; Crowson, D.; Ferrari, G.; Quintana, J.F.; Brouqui, J.M.; Bayne, E.H.; Longdon, B.; Buck, A.H.; et al. The Discovery, Distribution, and Evolution of Viruses Associated with Drosophila melanogaster. PLoS Biol. 2015, 13, e1002210. [Google Scholar] [CrossRef] [Green Version]
  7. Wille, M.; Netter, H.; Littlejohn, M.; Yuen, L.; Shi, M.; Eden, J.S.; Klaassen, M.; Holmes, E.C.; Hurt, A.C. A Divergent Hepatitis D-Like Agent in Birds. Viruses 2018, 10, 720. [Google Scholar] [CrossRef] [Green Version]
  8. Shi, M.; Lin, X.D.; Vasilakis, N.; Tian, J.H.; Li, C.X.; Chen, L.J.; Eastwood, G.; Diao, X.N.; Chen, M.H.; Chen, X.; et al. Divergent Viruses Discovered in Arthropods and Vertebrates Revise the Evolutionary History of the Flaviviridae and Related Viruses. J. Virol. 2016, 90, 659–669. [Google Scholar] [CrossRef] [Green Version]
  9. Luis, A.D.; Hayman, D.T.; O’Shea, T.J.; Cryan, P.M.; Gilbert, A.T.; Pulliam, J.R.; Mills, J.N.; Timonin, M.E.; Willis, C.K.; Cunningham, A.A.; et al. A comparison of bats and rodents as reservoirs of zoonotic viruses: Are bats special? Proc. Biol. Sci. 2013, 280, 20122753. [Google Scholar] [CrossRef] [Green Version]
  10. Wu, Z.; Lu, L.; Du, J.; Yang, L.; Ren, X.; Liu, B.; Jiang, J.; Yang, J.; Dong, J.; Sun, L.; et al. Comparative analysis of rodent and small mammal viromes to better understand the wildlife origin of emerging infectious diseases. Microbiome 2018, 6, 178. [Google Scholar] [CrossRef]
  11. Tsoleridis, T.; Onianwa, O.; Horncastle, E.; Dayman, E.; Zhu, M.; Danjittrong, T.; WachtL, M.; Behnke, J.M.; Chapman, S.; Strong, V.; et al. Discovery of Novel Alphacoronaviruses in European Rodents and Shrews. Viruses 2016, 84, 24. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Firth, C.; Bhat, M.; Firth, M.A.; Williams, S.H.; Frye, M.J.; Simmonds, P.; Conte, J.M.; Ng, J.; Garcia, J.; Bhuva, N.P.; et al. Detection of zoonotic pathogens and characterization of novel viruses carried by commensal Rattus norvegicus in New York City. MBio 2014, 5, e01933-14. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  13. Sachsenröder, J.; Braun, A.; Machnowska, P.; Ng, T.F.F.; Deng, X.; Guenther, S.; Bernstein, S.; Ulrich, R.G.; Delwart, E.; Johne, R. Metagenomic identification of novel enteric viruses in urban wild rats and genome characterization of a group A rotavirus. J. Gen. Virol. 2014, 95, 2734–2747. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  14. Huchon, D.; Madsen, O.; Sibbald, M.J.; Ament, K.; Stanhope, M.J.; Catzeflis, F.; de Jong, W.W.; Douzery, E.J. Rodent phylogeny and a timescale for the evolution of Glires: Evidence from an extensive taxon sampling using three nuclear genes. Mol. Biol. Evol. 2002, 19, 1053–1065. [Google Scholar] [CrossRef] [PubMed]
  15. Phan, T.G.; Kapusinszky, B.; Wang, C.; Rose, R.K.; Lipton, H.L.; Delwart, E.L. The fecal viral flora of wild rodents. PLoS Pathog 2011, 7, e1002218. [Google Scholar] [CrossRef] [Green Version]
  16. Ge, D.; Wen, Z.; Xia, L.; Zhang, Z.; Erbajeva, M.; Huang, C.; Yang, Q. Evolutionary history of lagomorphs in response to global environmental change. PLoS ONE 2013, 8, e59668. [Google Scholar] [CrossRef] [Green Version]
  17. Mahar, J.E.; Hall, R.N.; Shi, M.; Mourant, R.; Huang, N.; Strive, T.; Holmes, E.C. The discovery of three new hare lagoviruses reveals unexplored viral diversity in this genus. Virus. Evol. 2019, 5, vez005. [Google Scholar] [CrossRef] [Green Version]
  18. Nicholson, L.J.; Mahar, J.E.; Strive, T.; Zheng, T.; Holmes, E.C.; Ward, V.K.; Duckworth, J.A. Benign Rabbit Calicivirus in New Zealand. Appl. Environ. Microbiol. 2017, 83, e00090-17. [Google Scholar] [CrossRef] [Green Version]
  19. Lanave, G.; Martella, V.; Farkas, S.L.; Fehér, S.M.; Bodnar, L.; Lavazza, A.; Decaro, N.; Buonavoglia, C.; Bányai, K. Novel bocaparvoviruses in rabbits. Vet. J. 2015, 206, 131–135. [Google Scholar] [CrossRef]
  20. Monchatre-Leroy, E.; Boué, F.; Boucher, J.M.; Renault, C.; Moutou, F.; Ar Gouilh, M.; Umhang, G. Identification of Alpha and Beta Coronavirus in Wildlife Species in France: Bats, Rodents, Rabbits, and Hedgehogs. Viruses 2017, 9, 364. [Google Scholar] [CrossRef] [Green Version]
  21. Corman, V.M.; Hilgensloh, L.; Voigt, U.; Marklewitz, M.; Siebert, U.; Drosten, C.; Drexler, J.F. Hepatitis E Virus Infection in European Brown Hares, Germany, 2007–2014. Emerg. Infect. Dis. 2019, 25, 1233–1235. [Google Scholar] [CrossRef]
  22. Kerr, P.J.; Eden, Jo.; di Giallonardo, F.; Peacock, D.; Liu, J.; Strive, T.; Read, A.F.; Holmes, E.C. Punctuated Evolution of Myxoma Virus: Rapid and Disjunct Evolution of a Recent Viral Lineage in Australia. J. Virol. 2019, 93, e01994-18. [Google Scholar] [CrossRef] [Green Version]
  23. Lau, S.K.P.; Woo, P.C.Y.; Li, K.S.M.; Tsang, A.K.L.; Fan, R.Y.Y.; Luk, H.K.H.; Cai, Ji.; Chan, Kw.; Zheng, Bo.; Wang, M.; et al. Discovery of a novel coronavirus, China Rattus coronavirus HKU24, from Norway rats supports the murine origin of Betacoronavirus 1 and has implications for the ancestor of Betacoronavirus lineage A. J. Virol. 2015, 89, 3076–3092. [Google Scholar] [CrossRef] [Green Version]
  24. Wang, W.; Lin, X.D.; Guo, W.P.; Zhou, R.H.; Wang, M.R.; Wang, C.Q.; Ge, S.; Mei, S.H.; Li, M.H.; Shi, M.; et al. Discovery, diversity and evolution of novel coronaviruses sampled from rodents in China. Virology 2015, 474, 19–27. [Google Scholar] [CrossRef] [Green Version]
  25. Tsoleridis, T.; Chappell, J.G.; Onianwa, O.; Marston, D.A.; Fooks, A.R.; Monchatre-Leroy, E.; Umhang, G.; Müller, M.A.; Drexler, J.F.; Drosten, C.; et al. Shared Common Ancestry of Rodent Alphacoronaviruses Sampled Globally. Viruses 2019, 11, 125. [Google Scholar] [CrossRef] [Green Version]
  26. Drexler, J.F.; Corman, V.M.; Lukashev, A.N.; van den Brand, J.M.A.; Gmyl, A.P.; Brünink, S.; Rasche, A.; Seggewiβ, N.; Feng, H.; Leijten, L.M.; et al. Evolutionary origins of hepatitis A virus in small mammals. Proc. Natl. Acad. Sci. USA 2015, 112, 15190–15195. [Google Scholar] [CrossRef] [Green Version]
  27. Drexler, J.F.; Corman, V.M.; Müller, M.A.; Lukashev, A.N.; Gmyl, A.; Coutard, B.; Adam, A.; Ritz, D.; Leijten, L.M.; van Riel, D.; et al. Evidence for novel hepaciviruses in rodents. PLoS Pathog. 2013, 9, e1003438. [Google Scholar] [CrossRef] [Green Version]
  28. Chappell, J.G.; Tsoleridis, T.; Onianwa, O.; Drake, G.; Ashpole, I.; Dobbs, P.; Edema, W.; Kumi-Ansah, F.; Bennett, P.; Tarlinton, R.E.; et al. Retrieval of the Complete Coding Sequence of the UK-Endemic Tatenale Orthohantavirus Reveals Extensive Strain Variation and Supports its Classification as a Novel Species. bioRxiv 2019. [Google Scholar] [CrossRef] [Green Version]
  29. Thompson, D.J.; Higgins, D.G.; Gibson, T.J. CLUSTAL W: Improving the sensitivity of progressive multiple sequence alignment through sequence weighting, position-specific gap penalties and weight matrix choice. Nucleic. Acids Res. 1994, 22, 4673–4680. [Google Scholar] [CrossRef] [Green Version]
  30. Kumar, S.; Stecher, G.; Tamura, K. MEGA7: Molecular Evolutionary Genetics Analysis Version 7.0 for Bigger Datasets. Mol. Biol. Evol. 2016, 33, 1870–1874. [Google Scholar] [CrossRef] [Green Version]
  31. Wille, M.; Shi, M.; Klaassen, M.; Hurt, A.C.; Holmes, E.C. Virome heterogeneity and connectivity in waterfowl and shorebird communities. ISME J. 2019, 13, 2603–2616. [Google Scholar] [CrossRef] [Green Version]
  32. Zhang, Y.Z.; Chen, Y.M.; Wang, W.; Qin, X.C.; Holmes, E.C. Expanding the RNA Virosphere by Unbiased Metagenomics. Annu. Rev. Virol. 2019, 6, 119–139. [Google Scholar] [CrossRef]
  33. Alkhovsky, S.; Butenko, A.; Eremyan, A.; Shchetinin, A. Genetic characterization of bank vole virus (BaVV), a new paramyxovirus isolated from kidneys of bank voles in Russia. Arch. Virol. 2018, 163, 755–759. [Google Scholar] [CrossRef]
  34. Miller, P.J.; Boyle, D.B.; Eaton, B.T.; Wang, L. F. Full-length genome sequence of Mossman virus, a novel paramyxovirus isolated from rodents in Australia. Virology 2003, 317, 330–344. [Google Scholar] [CrossRef] [Green Version]
  35. Lambeth, L.S.; Yu, M.; Anderson, D.E.; Crameri, G.; Eaton, B.T.; Wang, L.F. Complete genome sequence of Nariva virus, a rodent paramyxovirus. Arch. Virol. 2009, 154, 199–207. [Google Scholar] [CrossRef]
  36. McDonald, S.M.; Nelson, M.I.; Turner, P.E.; Patton, J.T. Reassortment in segmented RNA viruses: Mechanisms and outcomes. Nat. Rev. Microbiol. 2016, 14, 448–460. [Google Scholar] [CrossRef] [Green Version]
  37. Matthijnssens, J.; Ciarlet, M.; Rahman, M.; Attoui, H.; Bányai, K.; Estes, M.K.; Gentsch, J.R.; Iturriza-Gómara, M.; Kirkwood, C.D.; Martella, V.; et al. Recommendations for the classification of group A rotaviruses using all 11 genomic RNA segments. Arch Virol 2008, 153, 1621–1629. [Google Scholar] [CrossRef] [Green Version]
  38. Simmonds, P.; Adams, M.J.; Benkő, M.; Breitbart, M.; Brister, J.R.; Carstens, E.B.; Davison, A.J.; Delwart, E.; Gorbalenya, A.E.; Harrach, B.; et al. Virus taxonomy in the age of metagenomics. Nat. Rev. Microbiol. 2017, 15, 161. [Google Scholar] [CrossRef]
  39. Holmes, E.C. Reagent contamination in viromics: All that glitters is not gold. Clin. Microbiol. Infect. 2019, 25, 1167–1168. [Google Scholar] [CrossRef] [Green Version]
  40. Chong, R.; Shi, M.; Grueber, C.E.; Holmes, E.C.; Hogg, C.J.; Belov, K.; Barrs, V.R. Fecal Viral Diversity of Captive and Wild Tasmanian Devils Characterized Using Virion-Enriched Metagenomics and Metatranscriptomics. J. Virol. 2019, 93, e00205–e00219. [Google Scholar] [CrossRef] [Green Version]
  41. Wang, Y.; Yang, S.; Liu, D.; Zhou, C.; Li, W.; Lin, Y.; Wang, X.; Shen, Q.; Wang, H.; Li, C.; et al. The fecal virome of red-crowned cranes. Arch. Virol. 2019, 164, 3–16. [Google Scholar] [CrossRef]
  42. Siqueira, J.D.; Dominguez-Bello, M.G.; Contreras, M.; Lander, O.; Caballero-Arias, H.; Xutao, D.; Noya-Alarcon, O.; Delwart, E. Complex. virome in feces from Amerindian children in isolated Amazonian villages. Nat. Commun. 2018, 9, 4270. [Google Scholar] [CrossRef]
  43. Pankovics, P.; Boros, Á.; Kiss, T.; Delwart, E.; Reuter, G. Detection of a mammalian-like astrovirus in bird, European roller (Coracias garrulus). Infect. Genet. Evol. 2015, 34, 114–121. [Google Scholar] [CrossRef]
  44. Kiss, O.; Elek, Z.; Moskát, C. High. breeding performance of European Rollers Coracias garrulus in heterogeneous farmland habitat in southern Hungary. Bird Study 2014, 61, 496–505. [Google Scholar] [CrossRef]
  45. Van Borm, S.; Steensels, M.; Mathijs, E.; Yinda, C.K.; Matthijnssens, J.; Lambrecht, B. Complete coding sequence of a novel picorna-like virus in a blackbird infected with Usutu virus. Arch. Virol. 2018, 163, 1701–1703. [Google Scholar] [CrossRef]
Viruses 12 00047 g001 550
Figure 1. Maps of the UK (A) and France (B) illustrating the regions that the field vole paramyxovirus (A) and rabbit rotavirus A (B) were detected, along with their frequency. (A) Cheshire and Leicestershire (highlighted in red) had four and one positive field voles with paramyxovirus. (B) The departments Creuse, Puy-de-Dôme, Deux-Sèvres, Loire and Dordogne (highlighted in red) had six, four, one, one and one positives, respectively. The departments Charente, Finistère, Morbihan, Loire Atlantique and Pyrénées Orientales had no positives.
Figure 1. Maps of the UK (A) and France (B) illustrating the regions that the field vole paramyxovirus (A) and rabbit rotavirus A (B) were detected, along with their frequency. (A) Cheshire and Leicestershire (highlighted in red) had four and one positive field voles with paramyxovirus. (B) The departments Creuse, Puy-de-Dôme, Deux-Sèvres, Loire and Dordogne (highlighted in red) had six, four, one, one and one positives, respectively. The departments Charente, Finistère, Morbihan, Loire Atlantique and Pyrénées Orientales had no positives.
Viruses 12 00047 g001
Viruses 12 00047 g002 550
Figure 2. Overview of viral reads identified in this study. (A) Host associations (UK Microtus agrestis gut (UKMa1), UKMa K4D and rabbit L232) with the viral reads identified in this study: astrovirus, rotavirus A, picorna-like virus, paramyxovirus, coronavirus, hantavirus and host reference gene ribosomal protein L4 (RPL4). (B) Individual representation of the abundance of viral reads in each animal sample, measured as a percentage of viral reads in log10 scale.
Figure 2. Overview of viral reads identified in this study. (A) Host associations (UK Microtus agrestis gut (UKMa1), UKMa K4D and rabbit L232) with the viral reads identified in this study: astrovirus, rotavirus A, picorna-like virus, paramyxovirus, coronavirus, hantavirus and host reference gene ribosomal protein L4 (RPL4). (B) Individual representation of the abundance of viral reads in each animal sample, measured as a percentage of viral reads in log10 scale.
Viruses 12 00047 g002
Viruses 12 00047 g003 550
Figure 3. Phylogenetic relationships of the field vole paramyxovirus based on the L, F and H genes. The trees represent maximum likelihood phylogenetic analyses of paramyxovirus partial L (910 aa), F (242 aa) and H (205 aa) gene sequences, revealing that the rodent narmoviruses form a single clade within the Paramyxoviridae. The novel sequence obtained from the UK field vole UKMa K4D was analyzed alongside reference sequences representing a diverse set of paramyxoviruses. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate bootstrap support; only values >80% are shown. Narmoviruses are highlighted in red and the novel UK field vole paramyxovirus is marked with a red dot. For clarity, some large viral clades have been collapsed.
Figure 3. Phylogenetic relationships of the field vole paramyxovirus based on the L, F and H genes. The trees represent maximum likelihood phylogenetic analyses of paramyxovirus partial L (910 aa), F (242 aa) and H (205 aa) gene sequences, revealing that the rodent narmoviruses form a single clade within the Paramyxoviridae. The novel sequence obtained from the UK field vole UKMa K4D was analyzed alongside reference sequences representing a diverse set of paramyxoviruses. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate bootstrap support; only values >80% are shown. Narmoviruses are highlighted in red and the novel UK field vole paramyxovirus is marked with a red dot. For clarity, some large viral clades have been collapsed.
Viruses 12 00047 g003
Viruses 12 00047 g004 550
Figure 4. Phylogenetic relationships of the field vole and the rabbit rotavirus A based on the VP1, VP2 and VP3 segment. The trees represent maximum likelihood phylogenetic analyses of rotavirus A partial VP1 (648 aa), VP2 (329 aa) and VP3 (791 aa) segment sequences. The novel sequences obtained from the UK field vole UKMa1 and the French rabbit L232 were analyzed alongside reference sequences representing rotaviruses A from different host species. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate bootstrap support; only values >80% are shown. The novel rotaviruses A are marked with a red dot. For clarity, some viral clades have been collapsed.
Figure 4. Phylogenetic relationships of the field vole and the rabbit rotavirus A based on the VP1, VP2 and VP3 segment. The trees represent maximum likelihood phylogenetic analyses of rotavirus A partial VP1 (648 aa), VP2 (329 aa) and VP3 (791 aa) segment sequences. The novel sequences obtained from the UK field vole UKMa1 and the French rabbit L232 were analyzed alongside reference sequences representing rotaviruses A from different host species. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate bootstrap support; only values >80% are shown. The novel rotaviruses A are marked with a red dot. For clarity, some viral clades have been collapsed.
Viruses 12 00047 g004
Viruses 12 00047 g005 550
Figure 5. Phylogenetic relationships of the novel field vole astrovirus based on the ORF1a, ORF1b and capsid genes. The trees represent maximum likelihood phylogenetic analyses of astrovirus partial ORF1a (508 aa), ORF1b (298 aa) and capsid (350 aa) gene sequences. The novel sequence obtained from the UK field vole UKMa1 was analyzed alongside reference sequences representing all different genera of astroviruses. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate the bootstrap support; only values >80% are shown. The novel UKMa1 astrovirus is marked with a red dot. For clarity, some viral clades have been collapsed.
Figure 5. Phylogenetic relationships of the novel field vole astrovirus based on the ORF1a, ORF1b and capsid genes. The trees represent maximum likelihood phylogenetic analyses of astrovirus partial ORF1a (508 aa), ORF1b (298 aa) and capsid (350 aa) gene sequences. The novel sequence obtained from the UK field vole UKMa1 was analyzed alongside reference sequences representing all different genera of astroviruses. Reference sequences are indicated by their GenBank accession numbers. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate the bootstrap support; only values >80% are shown. The novel UKMa1 astrovirus is marked with a red dot. For clarity, some viral clades have been collapsed.
Viruses 12 00047 g005
Viruses 12 00047 g006 550
Figure 6. Phylogenetic relationships of the novel rabbit picorna-like virus based on analyses of the RdRp gene. Maximum likelihood phylogenetic analysis of picornavirus partial RdRp gene sequences, revealing that the rabbit picorna-like virus falls within a clade of invertebrate picorna-like viruses. The novel sequence obtained from the French rabbit L232 was analyzed alongside reference sequences representing different picorna-like viruses. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate the bootstrap support; only values >80% are shown. The novel rabbit L232 associated picorna-like virus is marked with a red dot.
Figure 6. Phylogenetic relationships of the novel rabbit picorna-like virus based on analyses of the RdRp gene. Maximum likelihood phylogenetic analysis of picornavirus partial RdRp gene sequences, revealing that the rabbit picorna-like virus falls within a clade of invertebrate picorna-like viruses. The novel sequence obtained from the French rabbit L232 was analyzed alongside reference sequences representing different picorna-like viruses. Branch lengths are drawn to a scale of amino acid substitutions per site. Numbers above individual branches indicate the bootstrap support; only values >80% are shown. The novel rabbit L232 associated picorna-like virus is marked with a red dot.
Viruses 12 00047 g006
Table
Table 1. The samples and the corresponding viral hits including virus type, gene and size of the retrieved fragment utilized here.
Table 1. The samples and the corresponding viral hits including virus type, gene and size of the retrieved fragment utilized here.
Sample NameAnimal SpeciesOrganOriginVirusGeneFragment Size (nt)Accession Number
UKMa1Microtus agrestisIntestineUKRotavirus AVP1 (partial)2145MN626437
UKMa1Microtus agrestisIntestineUKRotavirus AVP2 (partial)987MN626438
UKMa1Microtus agrestisIntestineUKRotavirus AVP3 (partial)2306MN626439
UKMa1Microtus agrestisIntestineUKRotavirus AVP6 (partial)878MN626440
UKMa1Microtus agrestisIntestineUKRotavirus ANSP2 (partial)900MN626435
UKMa1Microtus agrestisIntestineUKRotavirus ANSP3 (partial)349MN626436
UKMa1Microtus agrestisIntestineUKAstrovirusORF1a (partial)1728MN626433
UKMa1Microtus agrestisIntestineUKAstrovirusORF1b (partial)1554MN626434
UKMa1Microtus agrestisIntestineUKAstrovirusCapsid (partial)1052MN626432
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusL (partial)2731MN626428
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusH (partial)615MN626427
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusF (partial)726MN626426
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusM (partial)760MN626429
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusP (partial)856MN626431
UKMa K4DMicrotus agrestisKidneyUKParamyxovirusN (partial)1046MN626430
L232Oryctolagus cuniculusIntestinal washFRRotavirus AVP1 (partial)3268MN626420
L232Oryctolagus cuniculusIntestinal washFRRotavirus AVP2 (partial)2645MN626424
L232Oryctolagus cuniculusIntestinal washFRRotavirus AVP3 (partial)2536MN626421
L232Oryctolagus cuniculusIntestinal washFRRotavirus AVP6 (partial)1336MN626422
L232Oryctolagus cuniculusIntestinal washFRRotavirus AVP7 (partial)978MN626423
L232Oryctolagus cuniculusIntestinal washFRRotavirus ANSP2 (partial)980MN626417
L232Oryctolagus cuniculusIntestinal washFRRotavirus ANSP3 (partial)951MN626418
L232Oryctolagus cuniculusIntestinal washFRRotavirus ANSP4 (partial)584MN626419
L232Oryctolagus cuniculusIntestinal washFRPicorna-like virusNon-structural polyprotein (partial) 890MN626416
L232Oryctolagus cuniculusIntestinal washFRPicorna-like virusNon-structural polyprotein contig 2 (partial)2187MN626416
L232Oryctolagus cuniculusIntestinal washFRPicorna-like virusStructural polyprotein (partial)2349MN626416
L232Oryctolagus cuniculusIntestinal washFRSobemovirusPolyprotein P2ab (partial)1653MN626425
L232Oryctolagus cuniculusIntestinal washFRLuteovirusPeptidase (partial)2067MN626414
L232Oryctolagus cuniculusIntestinal washFRLuteovirusRdRp (partial)1269MN626413
L232Oryctolagus cuniculusIntestinal washFRLuteovirusCoat protein (partial)573MN626415
Table
Table 2. Nucleotide and amino-acid identities of each gene/segment utilized in this study compared to the closest related viruses and the cut off for novel genotypes.
Table 2. Nucleotide and amino-acid identities of each gene/segment utilized in this study compared to the closest related viruses and the cut off for novel genotypes.
VirusGene/SegmentAnimalGenBank acc. NoMost Closely Related VirusNucleotide Sequence Identity (%)Cut Off for Genotypes (%) *Assigned Genotype
Rotavirus AVP1RabbitMN626420Bovine rotavirus core protein96.2483R2
Field voleMN626437Human rotavirus A strain B1076.96R *
VP2RabbitMN626424Rotavirus A giraffe/UCD/IRL/200798.3884C2
Field voleMN626438Rotavirus A strain RVA/Cow-wt/ZAF/1605/2007/G6P [5]78.21C *
VP3RabbitMN626421Rotavirus A isolate RVA/Human-tc/MAR/ma31/2011/G8P [14]98.3481M2
Field voleMN626439BatRVA/KEN/BATp39/Rousettus aegyptiacus/201569.74 (in aa)M *
VP6RabbitMN626422Rotavirus A strain RVA/roe deer-wt/SLO/D38-14/2014/G6P [15]98.885I2
Field voleMN626440Human rotavirus A isolate Omsk07-7978.46I *
VP7RabbitMN626423Rotavirus A strain RVA/Sheep-tc/ESP/OVR762/2002/G8P [14]97.7580G8
NSP2RabbitMN626417Rotavirus A strain RVA/Human-wt/ITA/111-05-27/2005/G6P [14]96.9985N2
Field voleMN626435Rotavirus A RVA/Dog-tc/JPN/RS15/1982/G3P [3]76.01N *
NSP3RabbitMN626418Rotavirus A strain RVA/Human-wt/BEL/B10925/1997/G6P [14]98.8685T6
Field voleMN626436Rotavirus A RVA/Human-wt/JPN/12597/2014/G8P [14]76.72 (in aa)T *
NSP4RabbitMN626419Rotavirus A strain dog-wt/GER/88977/2013/G8P198.4385E2
AstrovirusORF1aField voleMN626433Astrovirus Er/SZAL6/HUN/201146.3 (in aa)--
ORF1bMN626434Astrovirus Er/SZAL6/HUN/201170 (in aa)--
CapsidMN626432Astrovirus Er/SZAL6/HUN/201173.31 (in aa)--
Picorna-like virusnonstructural polyproteinRabbitMN626416Blackbird arilivirus35.57 (in aa)--
nonstructural polyproteinMN626416Blackbird arilivirus48.75 (in aa)--
structural polyproteinMN626416Blackbird arilivirus34.24 (in aa)--
ParamyxovirusLField voleMN626428Bank vole virus70.66 (in aa)--
HMN626427Bank vole virus61.19 (in aa)--
FMN626426Bank vole virus76.35 (in aa)--
MMN626429Bank vole virus86.96 (in aa)--
PMN626431Bank vole virus62.41 (in aa)--
NMN626430Bank vole virus89.66 (in aa)--
Luteoviruscoat proteinRabbitMN626415Pea enation mosaic virus 153.90 (in aa)--
PeptidaseMN626414Pea enation mosaic virus 138.88 (in aa)--
RdRpMN626413Alfalfa enamovirus 277.64 (in aa)--
* Indicates novel unassigned genotype.

Share and Cite

MDPI and ACS Style

Tsoleridis, T.; Chappell, J.G.; Monchatre-Leroy, E.; Umhang, G.; Shi, M.; Bennett, M.; Tarlinton, R.E.; McClure, C.P.; Holmes, E.C.; Ball, J.K. Discovery and Prevalence of Divergent RNA Viruses in European Field Voles and Rabbits. Viruses 2020, 12, 47. https://doi.org/10.3390/v12010047

AMA Style

Tsoleridis T, Chappell JG, Monchatre-Leroy E, Umhang G, Shi M, Bennett M, Tarlinton RE, McClure CP, Holmes EC, Ball JK. Discovery and Prevalence of Divergent RNA Viruses in European Field Voles and Rabbits. Viruses. 2020; 12(1):47. https://doi.org/10.3390/v12010047

Chicago/Turabian Style

Tsoleridis, Theocharis, Joseph G. Chappell, Elodie Monchatre-Leroy, Gérald Umhang, Mang Shi, Malcolm Bennett, Rachael E. Tarlinton, C. Patrick McClure, Edward C. Holmes, and Jonathan K. Ball. 2020. "Discovery and Prevalence of Divergent RNA Viruses in European Field Voles and Rabbits" Viruses 12, no. 1: 47. https://doi.org/10.3390/v12010047

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