Abstract
Around 14 distinct virus species-complexes have been detected in honeybees, each with one or more strains or sub-species. Here we present the initial characterization of an entirely new virus species-complex discovered in honeybee (Apis mellifera L.) and varroa mite (Varroa destructor) samples from Europe and the USA. The virus has a naturally poly-adenylated RNA genome of about 6500 nucleotides with a genome organization and sequence similar to the Tymoviridae (Tymovirales; Tymoviridae), a predominantly plant-infecting virus family. Literature and laboratory analyses indicated that the virus had not previously been described. The virus is very common in French apiaries, mirroring the results from an extensive Belgian survey, but could not be detected in equally-extensive Swedish and Norwegian bee disease surveys. The virus appears to be closely linked to varroa, with the highest prevalence found in varroa samples and a clear seasonal distribution peaking in autumn, coinciding with the natural varroa population development. Sub-genomic RNA analyses show that bees are definite hosts, while varroa is a possible host and likely vector. The tentative name of Bee Macula-like virus (BeeMLV) is therefore proposed. A second, distantly related Tymoviridae-like virus was also discovered in varroa transcriptomes, tentatively named Varroa Tymo-like virus (VTLV).
Keywords: honeybee, Apis mellifera, Varroa destructor, virus, Tymoviridae, Maculavirus, Marafivirus, Tymovirus
1. Introduction
Honeybees (Apis mellifera L.) are hosts to a large number of viruses [1,2]. Most were discovered and characterized serologically during the 1970s and 1980s at Rothamsted Research International and many have recently been sequenced [2]. Although as many as 26 virus-like entities have been described, many of these are closely related by serology [1,3] or nucleotide identity [4,5] and a more accurate description is one of 14 distinct honeybee virus species-complexes, each with a spectrum of closely related, but unique viruses [2,4,5]. Here, we describe the discovery, genomic characterization, and distribution of a new virus species-complex, found naturally in honeybees and its parasitic ectoparasite, Varroa destructor, related to Macula-, Marafi- and Tymoviruses (Tymovirales; Tymoviridae).
2. Materials and Methods
2.1. Sample Origins, RNA Purification and cDNA Synthesis
The origin of the field samples, the RNA purification and the cDNA synthesis protocols are described in original publications for the 2000 Pennsylvania sample [6], the 2002 French survey samples [7,8], the 2007 Jordanian samples [9], and the 2008 USA varroa samples [10,11,12]. Virus samples for cloudy wing virus (CWV), Bee virus X (BVX), Arkansas bee virus (ABV), and Berkeley bee picorna-like virus (BBPV) were collected or propagated by standard methods [1,2]. The presence of the indicated virus was verified by ELISA [2] using reference antisera obtained from Rothamsted Research International. Total RNA was extracted from the various reference virus samples using RNeasy® columns (Qiagen, Hilden, Germany). Approximately 1 μg RNA was converted to cDNA with the GoScript cDNA synthesis kit (Promega, Madison, WI, USA) using random hexamer primers, diluted 10-fold with water, and was stored at −20 °C until further use.
2.2. PCR and qPCR Assays
For qualitative PCR the cDNA samples were amplified using the GoTaq system (Promega) in 20 μL reaction volumes containing 10 μL of a 1/10 dilution of random-primed cDNA [7], 0.4 μM of each primer (Supplementary Table S1) and a cycling profile consisting of 2 min at 95 °C followed by 35 cycles of 30 s at 95 °C: 30 s at 55 °C: 30 s at 72 °C followed by 10 min at 72 °C. Quantitative PCR was performed using the Eva-Green system (Bio-Rad, Hercules, CA, USA); 20 μL reaction volumes with 2 μL of the 1/10 diluted cDNA template [7], 0.2 μM of each primer and a cycling profile of 30 s at 95 °C plus 35× (10 s at 95 °C: 10 s at 56 °C: fluorescence read) followed by a Melting Curve (MC) analysis at 5 s/0.5 °C intervals from 50 °C to 95 °C to distinguish true target amplifications from PCR artifacts. The primers used for the quantification of sub-genomic and/or genomic viral RNA (Figure 1; fragments “a”, “b”, “c”, “d”) are given in Supplementary Table S1, as well as those for the quantification of Tobacco Mosaic Virus (TMV), which was included as a passive reference during the preparation of the French 2002 survey samples [8,13]. All assays were run in duplicate for each sample. The mean Cq values for the samples were converted to absolute copy numbers using a calibration curve derived from the linear regression of Cq value onto Log10[template] for a 10-fold dilution series of an external standard of known concentration. The regression slopes were also used to determine the reaction efficiencies of the different assays (Supplementary Table S1; [14]). A constant of one copy was added to the value of each reaction to permit instances of non-detection (zero values) to be log-transformed [15], thus allowing virus-free samples to be included in parametric statistical analyses (see later). The copy numbers per reaction were then multiplied by the various dilution factors [8] to calculate the estimated copy number of virus per bee or mite. The TMV data was then used to adjust the virus data for sample-specific differences in the quantity and quality of RNA [16].
2.3. Cloning, Sequencing, and Assembly
The sequence of the European variant of bee Macula-like virus (BeeMLVEU) was assembled from Illumina sequence data derived from RNA of 100 varroa mites from 10 colonies of apiary #878 [7,8], and was produced, processed and assembled by Fasteris Life Science Co. (Geneva, Switzerland). The RNA for this was prepared by phenol-chloroform extraction followed by ethanol precipitation, and was enriched for mRNA by affinity purification on oligo-dT columns. Around 25 million 100 nt paired reads were quality-filtered; adapter sequences were removed and the resulting data was assembled at a range of kmer values using the VELVET [17] and OASES programs [18] made available on-line by the European Bioinformatics Institute (www.ebi.ac.uk). The 823 BeeMLV contigs (median length of N50 = 520 bp) were scaffolded using the SeqMan program (Lasergene 7.0; Dnastar Inc., Madison, WI, USA) and finally edited manually. The assembled Illumina sequence was confirmed by chain-termination sequencing [19] of cloned and uncloned RT-PCR fragments amplified from varroa and bee samples from apiaries #28 and #878 of the 2002 French survey [7,8], covering 99% of the assembled genome (Supplementary Figure S1). The 3' terminus was obtained by priming the natural poly-A tail of the virus with anchored oligo-dT (V[T]16) for cDNA synthesis, followed by RT-PCR with a virus-specific forward primer. The sequences of the USA variant of bee Macula-like virus (BeeMLVUSA) and of varroa Tymo-like virus (VTLV) were assembled from 454 and Illumina sequence data available from Trinity, a composite varroa transcriptome database (Genbank accession pending) of varroa samples with a variety of biological and geographic origins. The BeeMLV 5′ terminus was approximated by the consensus of the EU and USA assemblies.
2.4. Phylogenetic and Variability Analyses
The phylogenetic position of BeeMLV and VTLV within the Tymoviridae was determined by aligning the RNA-dependent RNA polymerase (RdRp) and capsid protein (CP) amino acid sequences (Figure 1; fragments “e” and “f”) to those of other Macula-, Marafi- and Tymoviruses (Supplementary Table S2) using CLUSTAL-Omega [20,21] and inferring the evolutionary relationships using Minimum Evolution criteria as implemented by MEGA6 [22]. All positions containing gaps were excluded from the analysis resulting in 301 (RdRp) and 167 (CP) characters for analysis. The evolutionary distances were computed using the Poisson correction method [23] and are given as amino acid substitutions per site. The relationships between different biological and geographical BeeMLV isolates was determined from a 427 nucleotide section of the capsid protein region (Figure 1; fragment “g”) as described above, except that the evolutionary distances were computed using the Maximum Composite Likelihood method [22]. Bootstrap analysis (500 replicates) was used to determine the statistical strength of the partitions. The variability estimates were determined from the pairwise p-values calculated by MEGA6 from CLUSTAL-Omega alignments of the eight BeeMLV and two VTLV assemblies. All ambiguous positions were removed for each sequence pair.
2.5. Statistical Analyses
The non-random association of the prevalence of BeeMLV in different tissues, or across seasons, was tested using contingency-χ2 analyses. The BeeMLV titers were logarithmically-distributed and were therefore log-transformed prior to parametric analyses. Differences between means were tested using t-tests and quantitative associations between groups of samples were tested by correlation analyses [15].
3. Results
3.1. Discovery
The origin of the present discovery was two clones, obtained inadvertently during the cloning and sequencing of deformed wing virus (DWV) in Pennsylvania in 2001 [6]. The sequences of these clones were distantly-related to the RNA-dependent RNA polymerase (RdRp) and capsid protein (CP) of Tymoviruses, a group of viruses infecting plants and transmitted by phloem-sucking insects [24,25], and were, therefore, initially thought to belong to a contaminating plant virus. However, in 2005 the genome sequence of a macula-like virus infecting the silkmoth Bombyx mori was published [26]. Subsequently, another insect-based tymoviridae-like virus was described [27]. Finally, numerous sequence reads related to the original clones were recovered from several Varroa destructor transcriptome datasets [10]. Since Varroa destructor is an obligate parasite that only feeds on bee haemolymph [28], and has no contact at all with plants, the possibility therefore arose that these “contaminant” sequences could, in fact, represent a true virus of honeybees or their parasites.
3.2. Genome Sequencing and Analysis
The first task was to assemble the complete genome sequence, which was achieved using a combination of chain termination [19] and Next Generation (454, Illumina) sequencing of samples from the USA and France. The BeeMLV genome is around 6500 nucleotides long, similar to that Bombyx mori Macula-like latent virus (BmMLV) and Culex Tymo-like virus (CuTLV), and has three overlapping open reading frames (ORFs). The first ORF encodes a large polyprotein containing several non-structural proteins, such as a methyl transferase (MTR), a proline-rich region (PRR), believed to act as a hinge between the MTR and P-Pro domains [29], a papain-like endo-peptidase (P-Pro [30]; an NTPase/helicase domain (Helic) and an RNA-dependent RNA polymerase (RdRp). The endo-peptidase in particular is highly characteristic of the Tymoviridae, cleaving the large ORF1 polyprotein into an N-terminal protein containing the MTR, PRR and P-Pro functions and a C-terminal protein containing the replicative proteins [29,30]. The second ORF encodes a ~24 kDa capsid protein and the third ORF a 14~15 kDa protein of unknown function (Figure 1) with clear homologues in the BmMLVand CuTLV genomes [26,27].
Many of the plant Tymoviridae also have an additional, large ORF in the 5′ end of the genome coding for a movement protein (MP [29]; Supplementary Table S2), a common protein in plant RNA viruses specifically involved in cell-to-cell virus transmission through plasmodesmata [31], as well as in pathology and suppression of the host RNAi antiviral defence mechanism [32]. Such a protein would have a less obvious role in purely insect viruses, except for suppressing host defences (although other proteins can also fulfill this role), and its absence from the BmMLV, CuTLV and BeeMLV genomes is therefore not unusual.
The BeeMLV genome is naturally polyadenylated, which made it possible to identify the 3′ terminus precisely. Both Macula- and Marafiviruses also have poly-A tails [24,25], while the Tymoviruses have instead a tRNA-like structure for stabilizing the 3′ end ([24]). The 3′ untranslated region is rather short (49 nt) compared to those of other members of the Tymoviridae (usually ~150 nt), unless this is calculated from the stop codon of the CP ORF (158 nt). It is, of course, entirely possible that the 3′ terminal region has multiple functions, combining its usual role in genome replication with the presence of a functional P15 ORF.
A highly conserved sub-genomic RNA promoter region (“Tymo-box” or “Marafi-box” [33,34,35]) was identified immediately prior to the CP ORF (Figure 1). This region is characterized by a highly conserved stretch of 16 nucleotides, eight nucleotides upstream of the putative start of transcription, characterized by another conserved section of three nucleotides. The putative BeeMLV sub-genomic promoter “box” differs across these two regions by only two nucleotides from the “Marafi-box” and by three nucleotides from the “Tymo-box” (Figure 1), with all variants occurring in positions where this is also tolerated elsewhere among the Tymoviruses and Marafiviruses [34]. The only unusual aspect is the slight difference between the European and USA variants of BeeMLV, with either a “CAT” (Europe) or a “CAC” (USA), signaling the putative three-nucleotide start of the sub-genomic RNA. Neither the Maculaviruses (including BmMLV) nor the unassigned CuTLV have a typical Tymo-box or Marafi-box [25,26,27,34], although they may, of course, have alternative means for generating sub-genomic RNAs for translating the 3′ ORFs. A comparison of the main genomic features of BeeMLV with those of the Tymo-, Marafi- and Maculaviruses is found in Supplementary Table S2.
A number of varroa and honeybee transcriptome sequence libraries from the USA were screened for BeeMLV sequences. The virus was not found in honeybee transcriptomes from an extensive survey of colonies affected, or not, by Colony Collapse Disorder (~60 million reads combined; [11]), and only a few dozen reads were recovered from another set of bee larval transcriptomes from the University of Georgia (~57 million reads combined; [12]). However, varroa transcriptomes are a different story. BeeMLV accounted for ~4% of reads from a pool of three 454 varroa transcriptome libraries (~1.5 million reads combined), with most of the hits coming from the varroa sample from Penn State University and for ~0.015% of reads in two Illumina varroa transcriptomes (~45 million reads combined; [12]). These searches also recovered a second, distantly-related Tymoviridae-like virus (tentatively named varroa Tymo-like virus; VTLV) in the Penn State University varroa sample, accounting for ~2% of the 454 reads, enough to assemble a rough draft of the genome and for phylogenetic analyses. The sequences reported here have been submitted to GenBank under accession numbers KT162924 (BeeMLVEU), KT162925 (BeeMLVUSA) and KT162926 (VTLV).
3.3. Phylogenetic Analyses
The phylogenetic analyses of the RdRp and CP regions position BeeMLV firmly within the Tymoviridae, but outside the Tymovirus, Marifivirus and Maculavirus genera (Figure 2A), with as closest relative the second Tymoviridae-like virus recovered from the varroa 454 and Illumina transcriptome data-sets (VTLV), with perfect bootstrap support for their internal separation and their combined separation from the remaining Tymoviridae. BeeMLVEU, BeeMLVUSA and VTLV are each internally >92% identical at the nucleotide level, based on the variation between independent assemblies, which translates to >91% and >96% identity at amino acid level for the main polyprotein and the CP respectively (Supplementary Table S4). The two BeeMLV strains are >70% identical at nucleotide level (>72% and >80% for the polyprotein and CP amino acid sequences) while BeeMLV and VTLV are clearly very distinct, with only about 50% nucleotide identity (48% and 40%, respectively, for the polyprotein and CP amino acid sequences). There is no phylogenetic distinction between the BeeMLV nucleotide sequences derived from honeybee or varroa-mite samples (Figure 2B) and placement of the Jordanian isolate implies a broad, geographically driven variability for this virus covering the sequence space between the European and USA isolates, that these isolates are best regarded as variants of a single virus species, rather than separate species.
3.4. Reference Collection Analysis
The next question was whether this virus had been described previously, as part of the ground-breaking work of Lesley Bailey and Brenda Ball at Rothamsted Research in England, between 1956 and 2006. Of all the honeybee RNA viruses described by Bailey and Ball, there are four left that are serologically unique, unrelated to already sequenced viruses and that have not yet bee sequenced. These are cloudy wing virus (CWV), bee viruses X and Y (BVX; BVY), Arkansas bee virus (ABV) and Berkeley bee picorna-like virus (BBPV). However, much is known about the physical, chemical, and biological properties of these viruses (Supplementary Table S3; [1]). All form icosahedral particles, but those of CWV are much smaller (~17 nm) than those of the Tymoviridae (~30 nm), while BVX and BVY have slightly bigger particles (~35 nm). The capsid proteins of BVX and BVY (50~52 kDa), ABV (~43 kDa) and BBPV (32, 35 and 37 kDa) are far larger and/or more numerous than the predicted BeeMLV capsid protein (~24 kDa). Only the CWV capsid protein (~19 kDa) comes close to the size of the BeeMLV capsid protein. However, the CWV RNA genome is much smaller (~1700 nt) than the ~6500 nt BeeMLV genome, while the BBPV genome is much larger, at ~9000 nt. Since BeeMLV could, furthermore, also not be detected by RT-PCR in any of the reference virus RNA samples (data not shown), the most parsimonious conclusion is that this virus has not previously been described in honeybees.
3.5. Prevalence and Distribution
A screen of cDNA samples from the 2002 French honeybee virus survey of 360 colonies in 36 apiaries throughout France [7,8] showed that BeeMLV was both common and abundant in bee colonies, particularly in the varroa mite samples. The prevalence increases from spring through summer to autumn with the greatest prevalence in mites, followed by adults and pupae, both when analyzed at the apiary level and the individual colony level (Figure 3A). The distribution of this prevalence among the 10 colonies in each apiary develops a slightly bimodal character as the season progresses (Figure 3B), with either few or many colonies in an apiary infected, suggesting that local factors may influence prevalence. The prevalence data was positively associated across seasons (χ2(3) = 26.94; P < 0.005), i.e., colonies that were positive in spring, or became positive during summer, were more likely than not also positive in autumn. Among the autumn samples there was also positive association between the prevalence in adults and pupae (χ2(1) = 20.24; P < 0.005) but not between either adults or pupae and mites. Both the seasonal and adult-pupae associations are less clear for the pooled apiary samples, although this may simply be a statistical consequence of having only 1/10th the amount of data to analyze.
An independent extensive virus survey found that BeeMLV was also common and abundant in Belgian honeybee colonies [36]. However, BeeMLV has not so far been detected in in a number of extensive geographic surveys of Swedish and Norwegian honeybee colonies from varroa-infested and non-infested regions (~400 samples from throughout Norway and Sweden; unpublished data), nor in preliminary virus screens of numerous heavily varroa-infested experimental colonies in Sweden [37,38], nor in samples from Isle d’Ouessant, a varroa-free territory off the west coast off France [7,8]. More pertinently, BeeMLV was also not detected in a large collection of nearly 100 failing, virgin, and newly-mated French honeybee queens [39], collected from a similar geographic range as the 2002 French survey samples. As mentioned earlier, in the USA BeeMLV was detected abundantly in a few varroa transcriptomes, but rarely in (unrelated) sets of honeybee transcriptomes from a much wider geographic range of samples.
3.6. Genomic and Sub-Genomic BeeMLV Titers
The next question to address was whether bees and mites are true infection hosts of the virus, or merely carriers of passively acquired virus particles. The presence of a sub-genomic RNA, for expression of the second ORF, makes it possible to differentiate active and passive states, since only actively replicating virus produces sub-genomic RNA. We designed two separate qPCR assays in the RdRp region, 5′ of the putative start of the sub-genomic RNA (Figure 1) and two qPCR assays in the sub-genomic region. If there is active production of large amounts of sub-genomic RNA, then this would be shown by quantitative differences between the two sets of assays. The assays were run on cDNA samples from pupae, adult bees, and varroa mites from four apiaries, located in Northern, Eastern, Southern and Western France, with each cDNA sample a pool of individual cDNAs from the 10 colonies in each apiary [7,8]. The results are shown in Figure 4. For all samples there is more BeeMLV RNA in the sub-genomic region, where both genomic and sub-genomic RNA are available, than in the region where only genomic RNA is available. For the samples from apiary #208 these differences are large (several orders of magnitude) and highly significant for all sample types. For the other apiaries the differences are smaller, and less significant. The highest titers are generally found in adult bees and mites, except for apiary #28 where the mite titers were significantly lower than those of the adults and pupae. These data confirm a number of things. First, that BeeMLV does produce sub-genomic RNA, as proven most emphatically by the samples from apiary #208. Second, the lack of large sub-genomic excess in apiaries #28, #802 and #878 (most likely because the virus is in a different stage of its infection) emphasizes the significance of the results from apiary #208, and suggests that the assays employed accurately reflect the quantitative differences between the two genomic regions. Third, honeybees, particularly the adult bees, are true infectious hosts of BeeMLV. The fact that all three sample types from apiary #208 show a similarly large excess of sub-genomic RNA is particularly illustrative, since it confirms the replication of the virus throughout the colony. The host status of the mites is less certain, since these were recovered from adult bees [7,8] and their signal may simply reflect their latest blood-meal. A significant observation here is that, in those samples where there was little evidence of sub-genomic RNA in bees (apiaries #28, #802 and #878), there was also no sub-genomic RNA in the mites. When there was sub-genomic RNA in the bee samples (apiary #208), it was also found in the corresponding mite samples. However, lack of replication in bees should not prevent the mite (if it is a true host) from replicating the virus. This suggests that the virus signal in the mites follows primarily that of the bees, through feeding. Even if there is true replication in mites, the signal may well be sub-merged by the viral RNA (without signal of replication) acquired from the bee. Ultimately, the host status of the mite can only be established by looking at infection in mite tissues proper, without contaminating influences from bee-derived nucleic acids.
4. Discussion
The genome size, organization, predicted functional protein domains, polyprotein processing, sub-genomic RNA promoter and phylogenetic analyses clearly identify BeeMLV as a member the Tymoviridae [24]. It appears closest overall to the Maculavirus genus, [25] but with a number of idiosyncrasies and affinities to the other two genera, such that it is probably best classified as an unassigned member of the Tymoviridae, with its genus status to be resolved when similar insect-specific Tymo-like viruses are reported. The phylogenetic relationships between the three genera are in any case rather indistinct, with a few other assigned and unassigned species floating in between the groups, attesting to a considerable degree of homoplasy in the data (possibly from horizontal transfer of genetic material between viruses; a common disturbing factor underlying difficult virus phylogenetic reconstructions), and perhaps also to a degree of flexibility in genome organization, replication and translation strategies (Supplementary Table S2) which are other important virus classification criteria.
The other main point of discussion is the origin and primary host of the virus, which ideally should be reflected in its name. There are a number of indirect indicators that this virus may be more closely linked to Varroa destructor than to Apis mellifera (elevated prevalence and titers in varroa samples, seasonal patterns, over-representation in varroa vs honeybee transcriptomes), but none of these are by themselves conclusive. Establishing host status is easier for bees than for mites, as illustrated by the sub-genomic analyses. Varroa mites are intimately connected with honeybees, feeding almost continually on the bee haemolymph; in many ways little more than a small bladder of honeybee blood, with all the honeybee viruses that would contain. Nucleic acids extracted from varroa contain significant levels of honeybee-derived nucleic acids [10]. The presence in varroa RNA of honeybee viruses, or even transient virus replication or translation RNA intermediates, does not in itself make varroa a virus host. Conversely, the detection of BeeMLV in honeybee pupal and adult RNA samples, or transcriptomes, also does not necessarily identify honeybees as a host. These samples may well have contained varroa mites that, as a possible true host in this scenario, could have contributed BeeMLV transcripts to the “honeybee” RNA being analyzed. However, the level of contamination would be considerably less in this case, and probably insufficient to explain the considerable BeeMLV titers in both the adult and pupal samples from the French survey, and certainly insufficient to explain the high excess of sub-genomic BeeMLV RNA in the bee samples from apiary #208. Bees are definitely a host. Whether mites are also a true host will require other types of evidence, such as (electron) microscopy of mite tissues, which are less affected by the contamination of mite tissues with honeybee-derived nucleic acids. Whether honeybees are also the original host of BeeMLV is a more difficult, and in the current context, probably a less relevant question. At one point we wondered whether the different sequence variants found represented either honeybee- or varroa-adapted BeeMLV strains, but the phylogenetic analyses do not support this. The stark contrast between the high abundance of BeeMLV in France (this study), Belgium [36] and the USA varroa transcriptomes with its absence from the pan-USA honeybee transcriptomes [11], Scandinavia and the French honeybee queen study [39], all extensive, wide-ranging surveys from regions with long histories of varroa infestation, is also puzzling. It suggests an incidental virus, rather than an endemic one, capable of replicating in bees and, thus, accumulating in mites, and which is possibly transmitted by mites to stimulate regional dispersal and local epidemics, but whose origins and initial establishment remain a mystery. These questions require further investigation. Other viruses closely linked to varroa but that are endemic to bees, such as acute bee paralysis virus and relatives [4], and deformed wing virus [5], tend to be more evenly co-distributed with varroa. Honeybee queens are almost never infested with varroa mites either as pupae or adults [40,41] but can still be infected with deformed wing virus through oral and sexual transmission [5,42,43] such that virus, even if initially undetectable, is inevitably available for proliferation when mites are first introduced to the system [44,45], stabilizing the co-distribution. The distribution of BeeMLV does not fit this pattern.
For these reasons we propose the generic name of Bee macula-like virus (BeeMLV), rather than a host-specific name, reflecting its replication in honeybees and close association with varroa mites, its uncertain origins, and its taxonomic affiliation.
Acknowledgments
Many thanks to Brenda Ball and Rothamsted Research International for reference virus antisera, to Magalí Tournaire for technical assistance, to François Cousserans for help with the NGS data analysis, to the Penn State Genomics Core Facility (State College, PA, USA), Fusion Antibodies (Belfast, UK), the Uppsala Genome Center (Uppsala, Sweden) and Fasteris Co. (Geneva, Switzerland) for sequencing services and to Reviewer #2 for encouraging higher standards. Funding for various phases of this project was provided by: The Pennsylvania Department of Agriculture grant ME441833 (JM), The European Commission STREP grant FOOD-CT-2006-022568 (JM); FORMAS grant 219-2009-176 (JM); Agroscope (LG), the Vinetum Foundation (PN).
Supplementary Files
Author Contributions
J.M., J.E., L.G. conceived and designed the experiments; J.M., S.C., E.S., L.G. performed the experiments; J.M., S.C., J.E., E.S., L.G. analyzed the data; J.M., N.H., P.N., J.E., L.G. contributed reagents/materials/analysis tools; J.M., L.G. wrote the paper.
Conflicts of Interest
The authors declare no conflict of interest.
References
- 1.Bailey L., Ball B.V. Honey Bee Pathology. 2nd ed. Academic Press; London, UK: 1991. pp. 1–193. [Google Scholar]
- 2.de Miranda J.R., Bailey L., Ball B.V., Blanchard P., Budge G., Chejanovsky N., Chen Y.P., Gauthier L., Genersch E., de Graaf D., et al. Standard methods for virus research in Apis mellifera. In: Dietemann V., Ellis J.D., Neumann P., editors. The COLOSS BEEBOOK, Volume II: Standard Methods for Apis mellifera Pest and Pathogen Research. IBRA; Treforest, UK: 2013. pp. 1–55. Chapter 13. [Google Scholar]
- 3.Allen M.F., Ball B.V. Characterisation and serological relationships of strains of Kashmir bee virus. Ann. Appl. Biol. 1995;126:471–484. doi: 10.1111/j.1744-7348.1995.tb05382.x. [DOI] [Google Scholar]
- 4.de Miranda J.R., Cordoni G., Budge G. The acute bee paralysis virus–Kashmir bee virus–Israeli acute paralysis virus complex. J. Invertebr. Pathol. 2010;103:S30–S47. doi: 10.1016/j.jip.2009.06.014. [DOI] [PubMed] [Google Scholar]
- 5.de Miranda J.R., Genersch E. Deformed wing virus. J. Invertebr. Pathol. 2010;103:S48–S61. doi: 10.1016/j.jip.2009.06.012. [DOI] [PubMed] [Google Scholar]
- 6.Lanzi G., de Miranda J.R., Boniotti M.B., Cameron C.E., Lavazza A., Capucci L., Camazine S.M., Rossi C. Molecular and biological characterization of deformed wing virus of honeybees (Apis mellifera L.) J. Virol. 2006;80:4998–5009. doi: 10.1128/JVI.80.10.4998-5009.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Tentcheva D., Gauthier L., Zappulla N., Dainat B., Cousserans F., Colin M.E, Bergoin M. Prevalence and seasonal variations of six bee viruses in Apis mellifera L. and Varroa destructor mite populations in France. Appl. Environ. Microbiol. 2004;70:7185–7191. doi: 10.1128/AEM.70.12.7185-7191.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Gauthier L., Tentcheva D., Tournaire M., Dainat B., Cousserans F., Colin M.E, Bergoin M. Viral load estimation in asymptomatic honey bee colonies using the quantitative RT-PCR technique. Apidologie. 2007;38:426–435. doi: 10.1051/apido:2007026. [DOI] [Google Scholar]
- 9.Haddad N., Brake M., de Miranda J.R., Migdadi H. First detection of honey bee viruses in Jordan by RT-PCR. Jordanian J. Agric. 2008;4:242–247. [Google Scholar]
- 10.Cornman R.S., Schatz M.C., Spencer J., Chen Y.P., Pettis J., Hunt G., Bourgeois L., Elsik C., Anderson D., Grozinger C.M., et al. Genomic survey of the ectoparasitic mite Varroa destructor, a major pest of the honey bee Apis mellifera. BMC Genomics. 2010;11:e602. doi: 10.1186/1471-2164-11-602. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Cornman R.S., Tarpy D.R., Chen Y., Jeffreys L., Lopez D., Pettis J.S., vanEngelsdorp D., Evans J.D. Pathogen webs in collapsing honeybee colonies. PLoS ONE. 2012;7:e43562. doi: 10.1371/journal.pone.0043562. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Cornman R.S., Boncristiani H., Dainat B., Chen Y., vanEngelsdorp D., Weaver D., Evans J.D. Population-genomic variation within RNA viruses of the Western honey bee, Apis mellifera, inferred from deep sequencing. BMC Genomics. 2013;14:e154. doi: 10.1186/1471-2164-14-154. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Tentcheva D., Gauthier L., Bagny L., Fievet J., Dainat B., Cousserans F., Colin M.E., Bergoin M. Comparative analysis of deformed wing virus (DWV) RNA in Apis mellifera L. and Varroa destructor. Apidologie. 2006;37:41–50. doi: 10.1051/apido:2005057. [DOI] [Google Scholar]
- 14.Bustin S.A., Benes V., Garson J.A., Hellemans J., Huggett J., Kubista M., Mueller R., Nolan T., Pfaffl M.W., Shipley G.L., et al. The MIQE Guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clin. Chem. 2009;55:611–622. doi: 10.1373/clinchem.2008.112797. [DOI] [PubMed] [Google Scholar]
- 15.Snedecor G.W., Cochran W.G. Statistical Methods. 7th ed. The Iowa State University Press; Ames, IA, USA: 1980. pp. 1–507. [Google Scholar]
- 16.Evans J.D., Schwarz R.S., Chen Y.P., Budge G., Cornman R.S., de La Rua P., de Miranda J.R., Foret S., Foster L., Gauthier L., et al. Standard methodologies for molecular research in Apis mellifera. In: Dietemann V., Ellis J.D., Neumann P., editors. The COLOSS BEEBOOK, Volume I: Standard Methods for Apis Mellifera Research. IBRA; Treforest, UK: 2013. pp. 1–53. Chapter 14. [Google Scholar]
- 17.Zerbino D.R., Birney E. Velvet: Algorithms for de novo short read assembly using de Bruijn graphs. Genome Res. 2008;18:821–829. doi: 10.1101/gr.074492.107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Schulz M.H., Zerbino D.R., Vingron M., Birney E. Oases: Robust de novo RNA-seq assembly across the dynamic range of expression levels. Bioinformatics. 2012;28:1086–1092. doi: 10.1093/bioinformatics/bts094. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Sanger F., Nicklen S., Coulson A.R. DNA sequencing with chain-terminating inhibitors. Proc. Natl. Acad. Sci. USA. 1977;74:5463–5467. doi: 10.1073/pnas.74.12.5463. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Sievers F., Wilm A., Dineen D.G., Gibson T.J., Karplus K., Li W., Lopez R., McWilliam H., Remmert M., Söding J., et al. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol. Syst. Biol. 2011;7:e539. doi: 10.1038/msb.2011.75. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.McWilliam H., Li W., Uludag M., Squizzato S., Park Y.M., Buso N., Cowley A.P., Lopez R. Analysis tool web services from the EMBL-EBI. Nucleic Acids Res. 2013;41:W597–W600. doi: 10.1093/nar/gkt376. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Tamura K., Stecher G., Peterson D., Filipski A., Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis version 6.0. Mol. Biol. Evol. 2013;30:2725–2729. doi: 10.1093/molbev/mst197. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 23.Zuckerkandl E., Pauling L. Evolutionary divergence and convergence in proteins. In: Bryson V., Vogel H.J., editors. Evolving Genes and Proteins. Academic Press; New York, USA: 1965. pp. 97–166. [Google Scholar]
- 24.Martelli G.P., Sabanadzovic S., Abou-Ghanem Sabanadzovic N., Edwards M.C., Dreher T. The family Tymoviridae. Arch. Virol. 2002;147:1837–1846. doi: 10.1007/s007050200045. [DOI] [PubMed] [Google Scholar]
- 25.Martelli G.P., Sabanadzovic S., Abou-Ghanem Sabanadzovic N., Saldarelli P. (2002) Maculavirus, a new genus of plant viruses. Arch. Virol. 2002;147:1847–1853. doi: 10.1007/s007050200046. [DOI] [PubMed] [Google Scholar]
- 26.Katsuma S., Tanaka S., Omuro N., Takabuchi L., Daimon T., Imanishi S., Yamashita S., Iwanaga M., Mita K., Maeda S., et al. Novel macula-like virus identified in Bombyx mori cultured cells. J. Virol. 2005;79:5577–5584. doi: 10.1128/JVI.79.9.5577-5584.2005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Wang L., Lv X., Zhai Y., Fu S., Wang D., Rayner S., Tang Q., Liang G. Genomic characterization of a novel virus of the family Tymoviridae isolated from mosquitoes. PLoS ONE. 2012;7:e39845. doi: 10.1371/journal.pone.0039845. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Rosenkranz P., Aumeier P., Ziegelmann B. Biology and control of Varroa destructor. J. Invertebr. Pathol. 2010;103:S96–S119. doi: 10.1016/j.jip.2009.07.016. [DOI] [PubMed] [Google Scholar]
- 29.Jakubiec A., Drugeon G., Camborde L., Jupin I. Proteolytic processing of turnip yellow mosaic virus replication proteins and functional impact on infectivity. J. Virol. 2007;81:11402–11412. doi: 10.1128/JVI.01428-07. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Rozanov M.N., Drugeon G., Haenni A.L. Papain-like proteinase of turnip yellow mosaic virus: A prototype of a new viral proteinase group. Arch. Virol. 1995;140:273–288. doi: 10.1007/BF01309862. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Lucas W.J. Plant viral movement proteins: Agents for cell-to-cell trafficking of viral genomes. Virology. 2006;344:169–184. doi: 10.1016/j.virol.2005.09.026. [DOI] [PubMed] [Google Scholar]
- 32.Chen J., Li W.X., Xie D., Peng J.R., Ding S.W. Viral virulence protein suppresses RNA silencing-mediated defense but upregulates the role of microRNA in host gene expression. Plant Cell. 2004;16:1302–1313. doi: 10.1105/tpc.018986. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Ding S.W., Howe J., Keese P., Mackenzie A., Meek D., Osorio-Keese M., Skotnicki M., Srifah P., Torronen M., Gibbs A. The tymobox, a sequence shared by most tymoviruses: Its use in molecular studies of tymoviruses. Nucleic Acids Res. 1990;18:1181–1187. doi: 10.1093/nar/18.5.1181. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Alabdulla A., Minafra A., Elbeaino T., Saponari M., Savino V., Martelli G.P. Complete nucleotide sequence and genome organization of Olive latent virus 3, a new putative member of the family Tymoviridae. Virus Res. 2010;152:10–18. doi: 10.1016/j.virusres.2010.05.010. [DOI] [PubMed] [Google Scholar]
- 35.Edwards M.C., Zhang Z., Weiland J.J. Oat blue dwarf marafivirus resembles the tymoviruses in sequence, genome organization, and expression strategy. Virology. 1997;232:217–229. doi: 10.1006/viro.1997.8555. [DOI] [PubMed] [Google Scholar]
- 36.Ravoet J., Maharramov J., Meeus I., de Smet L., Wenseleers T., Smagghe G., de Graaf D.C. Comprehensive bee pathogen screening in Belgium reveals Crithidia mellificae as a new contributory factor to winter mortality. PLoS ONE. 2013;8:e72443. doi: 10.1371/journal.pone.0072443. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 37.Locke B., Forsgren E., Fries I., de Miranda J.R. Acaricide treatment affects viral dynamics in Varroa destructor-infested honey bee colonies via both host physiology and mite control. Appl. Environ. Microbiol. 2012;78:227–235. doi: 10.1128/AEM.06094-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Locke B., Forsgren E., de Miranda J.R. Increased tolerance and resistance to virus infections: A possible factor in the survival of Varroa destructor-resistant honey bees (Apis mellifera) PLoS ONE. 2014;9:e99998. doi: 10.1371/journal.pone.0099998. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Gauthier L., Ravallec M., Tournaire M., Cousserans F., Bergoin M., Dainat B., de Miranda J.R. Viruses associated with ovarian degeneration in Apis mellifera L. queens. PLoS ONE. 2011;6:e16217. doi: 10.1371/journal.pone.0016217. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Harizanis P.C. Infestation of queen cells by the mite Varroa jacobsoni. Apidologie. 1991;22:533–538. doi: 10.1051/apido:19910506. [DOI] [Google Scholar]
- 41.Williams G.R., Rogers R.E.L., Kalkstein A.L., Taylor B.A., Shutler D., Ostiguy N.A. Deformed wing virus in western honey bees (Apis mellifera) from Atlantic Canada and the first description of an overtly-infected emerging queen. J. Invertebr. Pathol. 2009;101:77–79. doi: 10.1016/j.jip.2009.01.004. [DOI] [PubMed] [Google Scholar]
- 42.de Miranda J.R., Fries I. Venereal and vertical transmission of deformed wing virus in honey bees (Apis mellifera L) J. Invertebr. Pathol. 2008;98:184–189. doi: 10.1016/j.jip.2008.02.004. [DOI] [PubMed] [Google Scholar]
- 43.Yue C., Schröder M., Gisder S., Genersch E. Vertical-transmission routes for deformed wing virus of honeybees (Apis mellifera) J. Gen. Virol. 2007;88:2329–2336. doi: 10.1099/vir.0.83101-0. [DOI] [PubMed] [Google Scholar]
- 44.Martin S.J., Highfield A.C., Brettell L., Villalobos E.M., Budge G.E., Powell M., Nikaido S., Schroeder D.C. Global honey bee viral landscape altered by a parasitic mite. Science. 2012;336:1304–1306. doi: 10.1126/science.1220941. [DOI] [PubMed] [Google Scholar]
- 45.Mondet F., de Miranda J.R., Kretzschmar A., le Conte Y., Mercer A.R. On the front line: Quantitative virus dynamics in honeybee (Apis mellifera L.) colonies along a new expansion front of the parasite Varroa destructor. PLoS Pathog. 2014;10:e1004323. doi: 10.1371/journal.ppat.1004323. [DOI] [PMC free article] [PubMed] [Google Scholar]
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