- Short report
- Open Access
Cold case: The disappearance of Egypt bee virus, a fourth distinct master strain of deformed wing virus linked to honeybee mortality in 1970’s Egypt
Virology Journal volume 19, Article number: 12 (2022)
In 1977, a sample of diseased adult honeybees (Apis mellifera) from Egypt was found to contain large amounts of a previously unknown virus, Egypt bee virus, which was subsequently shown to be serologically related to deformed wing virus (DWV). By sequencing the original isolate, we demonstrate that Egypt bee virus is in fact a fourth unique, major variant of DWV (DWV-D): more closely related to DWV-C than to either DWV-A or DWV-B. DWV-A and DWV-B are the most common DWV variants worldwide due to their close relationship and transmission by Varroa destructor. However, we could not find any trace of DWV-D in several hundred RNA sequencing libraries from a worldwide selection of honeybee, varroa and bumblebee samples. This means that DWV-D has either become extinct, been replaced by other DWV variants better adapted to varroa-mediated transmission, or persists only in a narrow geographic or host range, isolated from common bee and beekeeping trade routes.
For most of the twentieth century, the bee unit at the Rothamsted Research in England was the de facto worldwide reference point for honeybee pathology, due to its research and diagnostic expertise. As a result, the unit regularly received bee samples from around the world, from colonies with unusual symptoms or unclear causes of mortality. These samples fed the research programme, international network and diagnostic capabilities of the unit. One such sample, sent from Egypt during spring 1977, led to the discovery and initial characterization of a new bee virus, named Egypt bee virus (EBV) after its geographic origin . In those days, honeybee virology was a rather niche topic with little practical relevance, except for the occasional case of paralysis or sacbrood, which tended to solve itself with a change of season or scenery. This changed dramatically with the initial adaptation, speciation  and subsequent worldwide dissemination of the ectoparasitic mite Varroa destructor from its original host (Apis cerana) to its current host (A. mellifera) during the second half of the twentieth century , possibly as an unintended consequence of the large-scale introduction of commercial beekeeping with A. mellifera to Asia after WW-II [11, 70], during the post-colonial agricultural transformation, or Green Revolution  of Asia. This mite is highly efficient at transmitting and facilitating several bee viruses , resulting in the rapid decline of a bee colony unless active measures are taken to keep the mite population under control (for a recent review, see .
Of the many viruses identified in honeybees (Beaurepaire et al. 2020), the main varroa-transmitted virus worldwide is Deformed wing virus (DWV; , the last major virus to be identified by the Rothamsted bee unit . Three major genetic variants of DWV have thus far been identified: DWV-A [18, 33], DWV-B , and DWV-C . DWV-A and DWV-B have slightly different effects on replication, transmission, virulence, pathology, host range and individual and collective bee mortality and functionality [21, 22, 41, 62] that are determinative for their continued coexistence in relation to different bee and mite management practices . Natural and artificial recombinants between these strains [12, 45] have made it possible to link some of these characteristics to particular regions of the DWV genome [21, 60, 62].
Here, we demonstrate that EBV is in fact a fourth unique, major variant of DWV: more closely related to DWV-C than to either DWV-A or DWV–B. We therefore propose to re-assign EBV as DWV major variant D (DWV-D), in continuation of the current DWV strain classification system. However, we could not find any trace of this variant in several hundred RNA sequencing libraries from honeybees, varroa mites, and other pollinators worldwide. This means that this variant has either become extinct, been overtaken and replaced by other DWV variants better adapted to new transmission routes, or persists only in a narrow geographic or host range isolated from common bee and beekeeping trading routes.
Materials and methods
The provenance of the Egypt bee virus sample is described in Bailey et al. . The original field sample consisted of diseased adult bees sent during spring 1977 from Egypt to Rothamsted Research in England for pathological analysis. A purified extract from 30 bees that contained large numbers of 30 nm isometric picornavirus-like particles, a third of which appeared to be empty, failed to react to antisera raised against the known bee viruses at the time (ABPV, BQCV, CBPV, KBV, SBPV, and SBV) in immunodiffusion tests . During June 1977, the extract was propagated at 10–4 dilution in white-eyed pupae (see  in the presence of antiserum against CBPV, SBV, and BQCV, which is an effective method to prevent co-amplification of contaminating viruses . Purified extracts from several of these pupae again failed to react against any of the antisera against the known viruses, despite containing large amounts of similar particles as in the primary extract, including the high proportion of empty particles. The remaining pupae were freeze-dried and stored at room temperature during the following decades. Drying is a well-established method for the long-term preservation of virus samples, allowing the recovery of live virus even from centuries-old herbarium specimens [17, 26].
During 1977, a polyvalent antiserum was developed in rabbits against the propagated EBV virus preparation by intramuscular injection of 1 mg purified virus, followed by two weekly booster injections of 0.1 mg virus emulsified with an equal volume of Freund’s complete adjuvant. Blood serum was collected at weekly intervals and titrated against the virus preparation until the highest titer was reached (e.g. [1, 4]. A similar antiserum was developed in 1985 against deformed wing virus (DWV), after propagating an extract from deformed adult bees collected in 1982 in Japan.
SDS-PAGE and Western blot
The original propagated virus preparations were denatured and fractionated on a discontinuous SDS-PAGE gel alongside a series of molecular weight markers of known size and visualized with Coomassie Blue staining [1, 3, 29]. The molecular mass of the viral proteins was estimated from a calibration curve established by the migration distances of the molecular weight markers . The proteins were transferred to nitrocellulose membrane (Western blot) according to Allen and Ball  (see also ). The Western blots were incubated for 16 h at room temperature with a 1/1000 dilution of primary antibody in phosphate-buffered saline phosphate (PBS) containing 1% Tween-20 and 5% fat-free powdered milk (PBS-TM). The membrane was washed 6 × 7 min with PBS-TM and incubated 2 h at room temperature with a 1/4000 dilution of an anti-rabbit-IgG antibody covalently linked to alkaline phosphatase (ThermoFisher: Waltham, MA, USA) in PBSTM. The membranes were washed 5 × 7 min with PBS and developed with 5% nitroblue tetrazolium and 5% 5-Bromo-4-Chloro-3-Indolyl Phosphate in 0.1M TRIS(9.5)/0.1M NaCl/50 mM MgCl2 .
RNA extraction & cDNA synthesis
During June 2009, and again separately during February 2017, RNA was extracted from one of the freeze-dried pupae using the RNA cleanup protocol of the RNeasy kit (Qiagen: Hilden, Germany), after first manually homogenizing the pupa in 100 μL sterile water, finally eluting the total RNA in 50 μL sterile water. The RNA was converted to cDNA using the SuperScript-III™ kit (ThermoFisher: Waltham, MA, USA), following the manufacturer’s protocols. Each cDNA synthesis reaction contained 4 μL RNA (~ 1 μg) and 0.2 μM cDNA primer in a 20 μL volume. The RNA was denatured for 5 min at 65 °C in the presence of the cDNA primer, after which buffer and SuperScript-III were added. The reaction was incubated for 60 min at 50 °C, following which the reaction was terminated by diluting tenfold in TE (pH 7.0) and incubated for 5 min at 95 °C. In 2009, the cDNA was synthesized using eight different cDNA primers covering the entire DWV genome and designed to amplify both DWV-A and DWV-B genomes (Additional file 1: Table S1). In 2017 the cDNA was synthesized using random hexamers.
The cDNA was amplified using the iTaq system (Bio-Rad Laboratories: Hercules, CA, USA) in 50 μL volumes containing 10 μL diluted cDNA and 0.3 μM each of forward and reverse primers specific for eight overlapping fragments (A, B, C, D, E, F, G, and H) of between ~ 700 and ~ 1700 bp each, covering the entire DWV genome (Additional file 1: Table S1; Additional file 1: Figure S1) with the following thermo-cycling profile: 95 °C:1 min – 35 × [95 °C:10 s-58°C:30 s-72°C:120 s] – 72 °C:5 min – 4 °C. In 2010, the amplification was only successful for amplicons A, D, E, and H. These fragments were sequenced using both Sanger sequencing of each separate fragment (2010) and IonTorrent sequencing of pooled fragments (2014). After the publication of the DWV-C genome , a new set of primers was designed, this time consensual for all three major DWV strains (Additional file 1: Table S1). With these primers, additional amplicons were produced for fragments E and G, as described above. Further EBV-specific primers were designed based on partial sequence information (see below), which yielded additional products for fragments F and G. The final fragments, B and C, were obtained after first producing randomly-primed cDNA with a First Strand cDNA Synthesis Kit (ThermoFisher: Waltham, MA, USA) from 1 µg total RNA following the manufacturer’s recommended protocol, diluting fivefold with TE(8.0) buffer and then amplifying the fragments with the EBV-specific primers (Additional file 1: Table S1) using the Phusion High-Fidelity PCR kit (ThermoFisher: Waltham, MA, USA), using the thermo-cycling profile: 98 °C:30 s-35 × [98 °C:10 s-58°C:10 s-72°C:60 s] – 72 °C:10 min – 4 °C. The PCR product size and purity were confirmed by agarose gel electrophoresis before the products were submitting for sequencing.
Sequencing and genome assembly
The first set of fragments (A, D, E, H) were sequenced in 2010 with Sanger sequencing, producing partial sequence data with intermittent genome coverage. In 2014 these fragments were pooled and submitted to IonTorrent sequencing, in a barcoded batch with 13 similar samples. The pooled DNA fragments were fragmented using the S2 system (Covaris: Woburn, MA, USA). The fragment ends were repaired and ligated to unique barcoded adaptors using the Applied Biosystems Library builder (ThermoFisher: Waltham, MA, USA). The adaptor-linked fragments were amplified using the Ion Xpress™ Plus gDNA Fragment Library Preparation protocol and selected for a 470 bp target size range with Blue Pippin™ (Sage Science: Beverley, MA, USA). Library size and concentration were assessed by a Bioanalyzer High Sensitivity Chip (Agilent Technologies: Santa Clara, CA, USA) and the Fragment Analyzer system (Advanced Analytical Technologies: Ankeny, IA, USA). The sequencing template was prepared using the Ion PGM™ Template OT2 400 Kit on the Ion OneTouch™ 2 system (ThermoFisher: Waltham, MA, USA). Samples were then sequenced on the Ion PGM™ System with Ion PGM™ Sequencing 400 Kit on a 100 Mb Ion 316v2 chip (ThermoFisher: Waltham, MA, USA) aimed at a 400 bp read length. For the EBV sample, this resulted in 214,861 sequence reads with an average length of 310 bp. The reads were mapped onto the DWV-A (AY292384) and DWV-B (AY251269) genomes using Tmap included in TorrentSuite (v.3.6.2) with recommended parameters (ThermoFisher: Waltham, MA, USA). The consensus sequences were created using mpileup from SAMtools (v.0.1.8)  based on a 1000 ~ 35,000× per-base coverage for the A, D, E and H fragments. The DWV-A and DWV-B mapped consensus sequences were 99% identical at nucleotide level. In 2015, the EBV RNA sample was submitted for direct RNA sequencing, in a barcoded batch of nine RNA samples, using IonTorrent technology. The RNA samples were depleted for ribosomal RNA using the RiboZero rRNA depletion kit (Illumina, San Diego, CA, USA). The quality of the depleted RNA was checked using the Bioanalyzer RNA Pico chip (Agilent Technologies: Santa Clara, CA, USA), after which the RNA was fragmented with Ribonuclease III and ligated to adaptor sequences. The RNA sequencing libraries were constructed using the Ion Total RNA-Seq v2 kit, and were sequenced on the Ion PGM™ System with an Ion PGM™ IC 200 Kit on a 80 Mb Ion 314 chip (ThermoFisher: Waltham, MA, USA) aimed at a 200 bp read length. This resulted in 38,761 reads with an average length of 173 bp. The reads were again mapped to both the DWV-A and DWV-B reference sequences, as described above. Although the overall genomic coverage of the RNA sequencing was patchy, with moderate per-base nucleotide coverage (10 ~ 18,000× for the DWV-A mapping; 10 ~ 7000× for the DWV-B mapping), there was again high (99%) nucleotide identity between the DWV-A and DWV-B mapped sequences, and with the accumulated sequence data. It also produced new partial sequence information for several of the intervening regions. EBV fragments E, F and G produced in 2017 were sequenced using PacBio technology (Pacific BioSciences: Menlo Park, CA, USA), as part of a batch of eight barcoded samples. The PCR products were repaired using the SMRTbell™ Damage repair SPv3 kit and ligated to unique barcodes using the SMRTbell™ barcoded adapter prep kit. Sequencing template was prepared using the SMRTbell™ template prep 1.0 SPv3 kit and cleaned up using the SMRTbell™ Cleanup bead kit (Pacific BioSciences: Menlo Park, CA, USA). Sequencing fragments of around 1500 bp in size, the expected sizes of fragments E, F and G (Additional file 1: Table S1), were selected with Blue Pippin™ (Sage Science: Beverley, MA, USA). Library size and quality were checked with an Agilent Bioanalyzer (Agilent Technologies: Santa Clara, CA, USA). Sequencing was performed on a Sequel™ SMRT-Cell 1 M v2 using the Sequel™ Sequencing Kit 2.0 (Pacific BioSciences: Menlo Park, CA, USA). The data consisted of ~ 6500 sequence reads of 1500–1600 bp each, 99% of which could be mapped to the DWV-A reference genome. The reads were mapped to the DWV-A reference genome using GraphMap v.0.5.2, sorted and indexed using Samtools v.1.6 and regions with < 5× coverage were filtered out using BEDTools v.2.27.1. The nucleotide variants at each position in the remaining regions were called and counted using an in-house script. The consensus was constructed using FreeBayes v.1.1.0 for variant calling and Vcflib to determine the consensus sequence from the variants, according to the mapped positions to the DWV-A reference sequence. The per-base coverage for the E, F and G fragments was between 1000 ~ 4000×. The final fragments, B and C, were obtained and sequenced in 2020 using Sanger sequencing (Macrogen-Europe BV, Amsterdam, The Netherlands). The EBV consensus sequence was condensed from these various sequencing efforts, with the few conflicts resolved conservatively. The consensus sequence has been deposited at GenBank under accession number MT504363.
The DWV-A (AY292384), DWV-B (AY251269), DWV-C (CEND01000001) and EBV (DWV-D) consensus genome sequences were aligned to each other and to Darwin bee virus-3 (MG995697); the closest full-length outgroup sequence , using the CLUSTAL-Omega multiple alignment programme  with default parameters, on the European Bioinformatics Institute website, www.ebi.ac.uk . The final alignment was checked for consistency and accuracy prior to inclusion in phylogenetic analyses. Similarity plot analysis was performed on Simplot version 3.5.1, using Hamming distance in a 200 bp sliding window and 20 step size . The evolutionary history for each virus was inferred using the Maximum Likelihood method based on the Tamura-Nei model  as implemented by MEGA-X , with the trees with the highest log likelihood retained. The initial trees for the heuristic searches were obtained automatically by applying Neighbor-Joining and BioNJ algorithms to a matrix of pairwise distances estimated using the Maximum Composite Likelihood (MCL) approach, and then selecting the topology with superior log likelihood value. All positions containing gaps and missing data were excluded from the analyses. The percentage of trees in which the associated taxa clustered together was determined by bootstrap analyses involving 500 replicates. Separate phylogenetic analyses were conducted for different sections of the DWV genome, bounded by the putative proteolytic sites of the DWV polyprotein . The numerical details of the phylogenetic analyses are summarized in Additional file 1: Table S2.
Screening RNA sequencing libraries
Individual reads of a large number of RNA sequencing libraries (Additional file 1: Table S3) were differentially screened for the presence of DWV-D, by first using Bowtie2  with default search parameters and high sensitivity to extract all reads with a Phred quality score rating > 33 that match DWV, and then competitively matching these reads against all four DWV master strains (DWV-A, DWV-B, DWV-C, and DWV-D) using the ‘map-to-reference’ tool in Genious  at medium sensitivity/fast setting for recovering multiple best-to-none matches and again a minimum read quality of Phred > 30, to ensure that only those reads that best matched the DWV-D sequence were retained. To rule out misclassification due to generic SNPs that can arise in any (DWV) quasi-species [21, 60, 72] or random sequencing errors  at DWV-D SNPs, a read required least three linked SNPs specific to DWV-D for a positive identification. Since many of the RNA sequencing libraries had rather small (50 nt) reads, this meant that the burden of identifying the presence of DWV-D in a sample lay primarily with the Leader protein (Lp) gene, which is the region with the highest density of SNPs and thus most likely to identify several linked SNPs specific to DWV-D on an individual 50–300 nt RNA sequencing read (Additional file 1: Table 3).
In 1982, about five years after the characterization of EBV, a sample of dead adult bees with deformed wings was sent to Rothamsted from Japan for pathological characterization. The virus was purified, and a weak cross-reaction was observed in immunodiffusion tests against the EBV antiserum (Table 1). The serological relationship between EBV and the new virus from Japan was confirmed when a new antiserum raised in 1985 against the Japanese virus also cross-reacted with EBV in immunodiffusion (Table 1). Furthermore, both antisera produced characteristic ‘spurs’ in ‘Ouchterlony’ double-immunodiffusion tests, when testing each antiserum against several antigens/viruses . This spur was produced when antibodies uniquely specific to its homologous virus migrated through the precipitation line between the antibody and the heterologous virus to form a second precipitation line: the spur. Such spurs are evidence of significant divergence at protein level (antigenic epitopes) between major strains of the same virus species, as shown by the primary cross-reaction . The Japanese virus was re-named deformed wing virus (DWV) because of the symptoms in the adult bees . The original report on EBV did not mention any wing deformities , which it almost certainly would have done had wing deformities been present. Western blots of the virus preparations again confirmed the cross-reaction of both antisera, slightly more pronounced for the DWV antiserum than for the EBV antiserum, and located the bulk of the antigenic activity (and cross-reaction) to VP3, the largest capsid protein , with a minor contribution from VP1. Five DWV VP1 subunits form the pore through which the viral RNA is injected into the cell during infection. The DWV VP3 has a protruding P domain that attaches to receptors on the cell wall and pivots on a hinge to bring the pore into contact with the cell wall, for subsequent introduction of the viral RNA into the cell [49, 54, 64]. Therefore, both these proteins have significant protrusions on the virus particle to provide epitopes for antigenic activity. The VP2, on the other hand, is more depressed, forming the inner shell of the virus particle , and consequently does not present many epitopes for antigenic activity.
The full sequence of Egypt bee virus genome was determined using a variety of sequencing approaches. The genome organization is typical for the Iflaviridae and deformed wing virus, with a rather long 5’ untranslated region followed by a single 2896 amino acid Open Reading Frame (ORF) coding for a leader protein (Lp), followed by the four capsid proteins that comprise the Iflavirus particle , followed by several non-structural proteins, followed by a shorter 3’ untranslated region and terminated by a natural poly-adenylated tail (Fig. 1A; ). The autocatalytic and 3C-protease recognition sites, where the polyprotein is cleaved into functional units [14, 69], are highly conserved (and frequently identical) between EBV and the three major DWV strains, and quite distinct from those of their closest relative, Darwin bee virus-3 (Fig. 1A). Egypt bee virus is most similar to DWV-C across most of its genome, except for a short section early in the 5’ NTR, where it is most similar to DWV-A, and an extensive section between the helicase and 3C-protease genes, where it is much more similar to DWV-B, and very distinct from DWV-A and DWV-C (Fig. 1B). These broad observations underpin the phylogenetic analyses (Fig. 1C). These show that Egypt bee virus is clearly a distinct fourth DWV master variant, DWV-D: more closely related to DWV-C than to either DWV-A or DWV-B (Fig. 1B). The topology of the phylogeny is very consistent across the major genomic regions, and between the phylogenies based on the nucleotide or amino acid sequences. The most divergent genomic region by far is the Lp gene, particularly the amino acid sequence [14, 33], while the structural protein region was the least divergent. Except for the untranslated regions, DWV-D consistently clusters with DWV-C with high confidence. Except for the Lp gene, DWV-A and DWV-B also consistently cluster together with high confidence. The most stable overall topology is two separate clusters, one containing DWV-D and DWV-C, and the other cluster containing DWV-B and DWV-A. The branching nodes not conforming to this pattern are unstable with no significant support. The high similarity of the proteolytic processing sites (Fig. 1A) implies that the 3C-proteases of the four DWV variants can almost certainly process each others’ polyproteins when part of a common quasi-species [16, 72]. Such functional complementation would allow DWV-D genomes to persist at low levels in DWV quasi-species dominated by the other strains.
To determine if DWV-D is currently still present as part of the larger assembly of DWV major and minor strains, we screened the raw, unprocessed reads of 300 published and unpublished RNA sequencing libraries from a wide geographic distribution of honeybee, varroa and bumblebee samples collected over the last 15 years (Fig. 2; Additional file 1: Table S3) for linked SNPs uniquely diagnostic for DWV-D. Since many reads will be common to all DWV strains, or subsets of strains, a bioinformatic strategy was designed to identify reads unique to just DWV-D, and distinct from DWV-A, -B and –C, to avoid potential misclassification of the read, and the sample. However, although many millions of DWV reads identified in these libraries, none was uniquely specific to DWV-D (Additional file 1: Table S3). We also looked more closely at the largest collection of DWV sequences from the Middle East and North Africa (MENA) region (68 samples), covering amino acids 10–73 of the Lp gene . However, although a great diversity of minor amino acid polymorphs could be detected across the MENA region in this fragment, none were specific to DWV-D. Most minor polymorphs in the MENA samples were unique. Two were shared with DWV-B, -C and –D; two were shared with DWV-C and DWV-D; four were shared only with DWV-B, and two only with DWV-C (Additional file 1: Fig. 2). Moreover, while many DWV-B polymorphic variants were identified in the MENA collection, only a small fraction of the variants specific to DWV-C or DWV-C/DWV-D were identified. This implies that by 2012, when these samples were collected, the MENA region DWV profile was dominated by unique polymorphic amino acid variants clustered around DWV-A, some of which were also found in DWV-B, and no convincing evidence for the presence of either DWV-C or DWV-D.
Here, we have characterized the complete nucleotide sequence of a novel, fourth master variant of deformed wing virus, isolated from a sample of diseased honeybees collected in 1977 in Egypt. The virus is more closely related to DWV-C than to either DWV-A or DWV-B, clearly nested within the DWV group of variants across its entire genome, and with predicted genomic features implying that it should be functionally cross-process the other DWV variants polyproteins when coexisting within a common quasi-species.
Having identified this new major DWV-D variant in historical samples from Egypt collected around the time that V. destructor started to spread through the MENA region , the next logical question was to determine if DWV-D was still present, either in the MENA region or elsewhere. The strategy we chose was to screen a large selection of the thousands of honeybee, varroa and wild pollinator RNA sequencing libraries produced since 2005 for DWV-D. No assembled sequence similar to DWV-D has ever been reported from any of these RNA sequencing libraries. This suggests that DWV-D is currently very rare, or restricted either by region, host or historically. However, since the conventional bioinformatic pipelines only return assembled consensus sequences, which are then screened against the databases for identification, only the most common DWV variant present in any sample would have been identified. Currently, these are the DWV-A and DWV-B variants, or their recombinants, that are best adapted to transmission by V. destructor [21, 22, 45, 53, 71, 74] which is the primary driving force for the amount and genetic composition of DWV in honeybees and varroa [42, 60, 62, 68, 72, 74] and indirectly also in other pollinators in the vicinity of honeybee colonies, through secondary transmission [6, 19, 25, 37, 39, 72]. It is therefore possible that DWV-D is still part of the DWV quasi-species in these samples, but at too low a frequency to be identified by the conventional bioinformatic pipelines. It is also possible that DWV-D may be more readily identified in samples from the MENA region, or from geographic regions free from V. destructor, or in samples from non-Apis pollinators with possibly less dominance of the DWV-A and DWV-B variants associated with varroa-mediated transmission. We therefore preferentially selected libraries from the MENA region, from long-standing isolated honeybee populations worldwide (with and without varroa) and from non-Apis pollinators. Furthermore, the screening strategy focused on identifying SNPs uniquely specific for DWV-D, and distinct from DWV-A, -B and –C, in the individual sequence reads from these libraries, rather than assembled contigs. Since many of the reads are rather short (~ 50 nt) and furthermore contain random sequencing errors , the burden of proof for identifying DWV-D fell mostly on the Lp region, since this is the only region with a high enough SNP density to be able to identify on individual reads, several linked SNPs uniquely specific to DWV-D that could not be ascribed to either sequencing error or natural quasi-species variability. A similar strategy has been used previously to assign individual reads from publicly available RNA sequencing libraries to either DWV-A, DWV-B or DWV-C, with only conclusive evidence for the presence of DWV-A and DWV-B . A qualitative analysis of minor amino acid polymorphisms for a large collection of samples from throughout the MENA region revealed that by 2012 the DWV profile in the MENA region was dominated by amino acid variants clustered around DWV-A, some of which were also found in DWV-B, with no convincing evidence for the presence of either DWV-C or DWV-D.
The fact that we could not find DWV-D in a range of samples from around the world does not necessarily mean that DWV-D has become extinct. It is impossible to conclusively prove the absence of something through negative screening, while only a single positive identification is required to prove DWV-D’s continued existence. However, it is not impossible for a virus, or a virus variant, to become extinct. Viruses are entirely dependent for their survival on the viability of their host populations. If these disappear before the virus has transmitted itself to other host populations, then the virus dies with these hosts and becomes effectively extinct. This process can be much more common than currently realized, especially if the virus (variant) developed in isolation and has a limited host range. Virus strains can also disappear more gradually from a quasi-species, through competition with better-adapted strains [40, 42, 61]. Although DWV can be detected in a wide range of insects, this is usually a secondary transmission in relation to a current, or historical, presence of infected Apis colonies in the area. The structural instability of the DWV particle in isolation [15, 65] precludes extensive viability and persistence outside the host tissues, such as in stored foods or the external environment. It also means that all the major DWV transmission routes involve immediate, close, and direct transfer of inoculum between tissues or through secretions [14, 72], which consequently requires a strong continuous presence of living hosts in close permanent contact with each other. In other words, the particularities of DWV make it a stronger candidate than more stable (ifla)viruses for the possible extinction of unique, locally evolved variants that are restricted by geography or host from wider dissemination and whose main host is A. mellifera, a managed bee species that itself is largely dependent on human activity for survival. That DWV-D may indeed have gone extinct is supported by the number of independent RNA libraries and the amount of effort expended searching for this variant, in current and historical samples (Fig. 2; Additional file 1: Table S3). The absence of DWV-D in the samples from around the world suggests this variant may indeed have been geographically restricted, and that if it is not extinct, then it would most likely be found in the geographic area where the original sample was obtained, either in local honeybees or the local wild pollinators or insects associated with beekeeping.
Availability of data and materials
The data generated and analysed during the current study are available in the GenBank repository under accession number MT504363. Original material is available from the corresponding author upon reasonable request.
Acute bee paralysis virus
Black queen cell virus
Chronic bee paralysis virus
Complementary deoxyribonucleic acid
Deformed wing virus
Egypt bee virus (re-assigned DWV strain-D)
Kashmir bee virus
Middle East & North Africa
Untranslated Region (5’ UTR; 3’ UTR)
Open reading frame
Polymerase chain reaction
RNA dependent RNA polymerase
Slow bee paralysis virus
Sodium dodecyl sulphate poly acrylamide gel electrophoresis
Single nucleotide polymorphism
Varroa destructor virus-1 (re-assigned DWV strain-B)
Viral protein (capsid protein)
Viral protein genome-linked
Allen MF, Ball BV. Characterisation and serological relationships of strains of Kashmir bee virus. Ann Appl Biol. 1995;126:471–84.
Anderson DL, Trueman JWH. Varroa jacobsoni (Acari: Varroidae) is more than one species. Exp Appl Acarol. 2000;24:165–89.
Bailey L, Carpenter JM, Woods RD. Egypt bee virus and Australian isolates of Kashmir bee virus. J Gen Virol. 1979;43:641–7.
Bailey L, Woods RD. Three previously undescribed viruses from the honeybee. J Gen Virol. 1974;25:175–86.
Beaurepaire A, Piot N, Doublet V, Antuñez K, Campbell E, Chantawannakul P, Chejanovsky N, Gajda A, Heerman M, Panzier D, Smagghe G, Yañez O, de Miranda JR, Dalmon A. Diversity and global distribution of viruses of the western honey bee, Apis mellifera. Insects. 2020;11:e239.
Brettell LE, Schroeder DC, Martin SJ. RNAseq analysis reveals virus diversity within Hawaiian apiary insect communities. Viruses. 2019;11:e397.
Brettell LE, Schroeder DC, Martin SJ. RNAseq of deformed wing virus and other honey bee-associated viruses in eight insect taxa with or without varroa infestation. Viruses. 2020;12:e1229.
Carpenter JM, Kassanis B, White RF. The protein and nucleic acid of beet yellows virus. Virol. 1977;77:101–9.
Carreck NL, Ball BV, Martin SJ. Honey bee colony collapse and changes in viral prevalence associated with Varroa destructor. J Apic Res. 2010;49:93–4.
Cornman RS. Relative abundance of deformed wing virus, Varroa destructor virus 1, and their recombinants in honey bees (Apis mellifera) assessed by kmer analysis of public RNA-Seq data. J Invertebr Pathol. 2017;149:44–50.
Crane E. Africanized bee, and mites parasitic on bees, in relation to world beekeeping. In: Needham GR, Page RE Jr, Delfinado-Baker M, Bowman CE, editors. Africanized honey bees and bee mites. Chichester: Ellis Horwood; 1988.
Dalmon A, Desbiez C, Coulon M, Thomasson M, Le Conte Y, Alaux C, Vallon J, Moury B. Evidence for positive selection and recombination hotspots in Deformed wing virus (DWV). Sci Rep. 2017;7:e41045.
Deboutte W, Beller L, Yinda CK, Maes P, de Graaf DC, Matthijnssens J. Honey-bee-associated prokaryotic viral communities reveal wide viral diversity and a profound metabolic coding potential. Proc Natl Acad Sci USA. 2020;117:10511–9.
de Miranda JR, Genersch E. Deformed wing virus. J Invertebr Pathol. 2010;103:S48–61.
de Miranda JR, Bailey L, Ball BV, Blanchard P, Budge GE, Chejanovsky N, Chen Y-P, Gauthier L, Genersch E, de Graaf DC, Ribière M, Ryabov E, De Smet L. van der Steen JJM (2013) Standard methods for virus research in Apis mellifera. J Apic Res. 2013;2:52. https://doi.org/10.3896/IBRA.18.104.22.168.
Dolan PT, Whitfield ZJ, Andino R. Mechanisms and concepts in RNA virus population dynamics and evolution. Annu Rev Virol. 2018;5:69–92.
Evans JD, Schwarz RS, Chen Y-P, Budge G, Cornman RS, De La Rua P, de Miranda JR, Foret S, Foster L, Gauthier L, Genersch E, Gisder S, Jarosch A, Kucharski R, Lopez D, Lun CM, Moritz RFA, Maleszka R, Muñoz I, Pinto MA. Standard methodologies for molecular research in Apis mellifera. J Apic Res. 2013;1:52. https://doi.org/10.3896/IBRA.22.214.171.124.
Fujiyuki T, Takeuchi H, Ono M, Ohka S, Sasaki T, Nomoto A, Kubo T. Novel insect picorna-like virus identified in the brains of aggressive worker honeybees. J Virol. 2004;78:1093–100.
Fürst MA, McMahon DP, Osborne JL, Paxton RJ, Brown MJ. Disease associations between honeybees and bumblebees as a threat to wild pollinators. Nature. 2014;506:364–6.
Gebremedhn H, Deboutte W, Schoonvaere K, Demaeght P, De Smet L, Amssalu B, Matthijnssens J, de Graaf DC. Metagenomic Approach with the NetoVIR enrichment protocol reveals virus diversity within Ethiopian honey bees (Apis mellifera simensis). Viruses. 2020;12:e1218.
Gisder S, Möckel N, Eisenhardt D, Genersch E. In vivo evolution of viral virulence: switching of deformed wing virus between hosts results in virulence changes and sequence shifts. Environ Microbiol. 2018;20:4612–28.
Gisder S, Genersch E. Direct evidence for infection of Varroa destructor mites with the bee-pathogenic Deformed wing virus variant B - but not variant A - via fluorescence-in situ-hybridization analysis. J Virol. 2020;95:e01786-e1820.
Granberg F, Vicente-Rubiano M, Rubio-Guerri C, Karlsson OE, Kukielka D, Belák S, Sánchez-Vizcaíno JM. Metagenomic Detection of viral pathogens in Spanish honeybees: co-Infection by Aphid lethal paralysis, Israel acute paralysis and Lake Sinai viruses. PLoS ONE. 2013;8:e57459.
Goodwin S, McPherson JD, McCombie WR. Coming of age: ten years of next-generation sequencing technologies. Nat Rev Genet. 2016;17:333–51.
Gusachenko ON, Woodford L, Balbirnie-Cumming K, Ryabov EV, Evans DJ. Evidence for and against deformed wing virus spillover from honey bees to bumble bees: a reverse genetic analysis. Sci Rep. 2020;10:e16847.
Guy PL. Prospects for analyzing ancient RNA in preserved materials. Wiley Interdiscip Rev RNA. 2014;5:87–94.
Haddad NJ, Noureddine A, Al-Shagour B, Loucif-Ayad W, El-Niweiri MAA, Anaswah E, Hammour WA, El-Obeid D, Imad A, Shebl MA, Almaleky AS, Nasher A, Walid N, Bergigui MF, Yañez O, de Miranda JR. Distribution and variability of deformed wing virus of honeybees (Apis mellifera L.) in the Middle East and North Africa. Insect Science. 2017;24:103–13.
Haddad NJ, Horth L, Al-Shagour B, Adjlane N, Loucif-Ayad W. Next-generation sequence data demonstrate several pathogenic bee viruses in Middle East and African honey bee subspecies (Apis mellifera syriaca, Apis mellifera intermissa) as well as their cohabiting pathogenic mites (Varroa destructor). Virus Genes. 2018;54:694–705.
Hartfelder K, Bitondi MMG, Brent C, Guidugli-Lazzarini KR, Simões ZLP, Stabentheiner A, Tanaka DE, Wang Y. Standard methods for physiology and biochemistry research in Apis mellifera. J Apic Res. 2013;1:52. https://doi.org/10.3896/IBRA.1.52.1.06.
Kearse M, Moir R, Wilson A, Stones-Havas S, Cheung M, Sturrock S, Buxton S, Cooper A, Markowitz S, Duran C, Thierer T, Ashton B, Meintjes P, Drummond A. Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics. 2012;28:1647–9.
Kumar S, Stecher G, Li M, Knyaz C, Tamura K. (MEGA X: Molecular Evolutionary Genetics Analysis across computing platforms. Mol Biol Evol. 2018;35:1547–9.
Langmead B, Salzberg SL. Fast gapped-read alignment with Bowtie 2. Nat Meth. 2012;9:357–9.
Lanzi G, de Miranda JR, Boniotti MB, Cameron CE, Lavazza A, Capucci L, Camazine SM, Rossi C. Molecular and biological characterization of deformed wing virus of honeybees (Apis mellifera L.). J Virol. 2006;80:4998–5009.
Levin S, Sela N, Erez T, Nestel D, Pettis J, Neumann P, Chejanovsky N. New viruses from the ectoparasite mite varroa destructor infesting Apis mellifera and Apis cerana. Viruses. 2019;11:e94.
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. 1000 Genome Project Data Processing Subgroup. The sequence alignment/map (SAM) format and SAMtools. Bioinformatics. 2009;25:2078–9.
Lole KS, Bollinger RC, Paranjape RS, Gadkari D, Kulkarni SS, Novak NG, Ingersoll R, Sheppard HW, Ray SC. Full-length human immunodeficiency virus type 1 genomes from subtype C-infected seroconverters in India, with evidence of intersubtype recombination. J Virol. 1999;73:152–60.
Loope KJ, Baty JW, Lester PJ, Wilson Rankin EE. Pathogen shifts in a honeybee predator following the arrival of the Varroa mite. Proc R Soc B. 2019;286:e20182499.
Madeira F, Park YM, Lee J, Buso N, Gur T, Madhusoodanan N, Basutkar P, Tivey ARN, Potter SC, Finn RD, Lopez R. The EMBL-EBI search and sequence analysis tools APIs in 2019. Nucl Acids Res. 2019;47:W636–41.
Manley R, Temperton B, Doyle T, Gates D, Hedges S, Boots M, Wilfert L. Knock-on community impacts of a novel vector: spillover of emerging DWV-B from Varroa-infested honeybees to wild bumblebees. Ecol Lett. 2019;22:1306–15.
Martin SJ, Ball BV, Carreck NL. The role of deformed wing virus in the initial collapse of varroa infested honey bee colonies in the UK. J Apic Res. 2013;52:251–8.
Martin SJ, Brettell LE. Deformed wing virus in honeybees and other insects. Annu Rev Virol. 2019;6:49–69.
McMahon DP, Natsopoulou ME, Doublet V, Fürst M, Weging S, Brown MJ, Gogol-Döring A, Paxton RJ. Elevated virulence of an emerging viral genotype as a driver of honeybee loss. Proc Biol Sci. 2016;283:e20160811.
Mondet F, Beaurepaire A, McAfee A, Locke B, Alaux C, Blanchard S, Danka B, Leconte Y. Honey bee survival mechanisms against the parasite Varroa destructor: a systematic review of phenotypic and genomic research efforts. Int J Parasitol. 2020;50:433–47.
Mondet F, de Miranda JR, Kretzschmar A, Le Conte Y, Mercer AR. On the front line: Quantitative virus dynamics in honeybee (Apis mellifera L.) colonies along a new expansion front of the parasite Varroa destructor. PLoS-Pathogens. 2014;10:e1004323.
Moore J, Jironkin A, Chandler D, Burroughs N, Evans DJ, Ryabov EV. Recombinants between Deformed wing virus and Varroa destructor virus-1 may prevail in Varroa destructor-infested honeybee colonies. J Gen Virol. 2011;92:156–61.
Mordecai GJ, Wilfert L, Martin SJ, Jones IM, Schroeder DC. Diversity in a honey bee pathogen: First report of a third master variant of the Deformed wing wirus quasispecies. ISME J. 2016;10:1264–73.
Neumann P, Yañez O, Fries I, de Miranda JR. Varroa invasion and virus adaptation. Trends Parasitol. 2012;28:353–4.
Ongus JR, Peters D, Bonmatin JM, Bengsch E, Vlak JM, van Oers MM. Complete sequence of a picorna-like virus of the genus Iflavirus replicating in the mite Varroa destructor. J Gen Virol. 2004;85:3747–55.
Organtini LJ, Shingler KL, Ashley RE, Capaldi EA, Durrani K, Dryden KA, Makhov AM, Conway JF, Pizzorno MC, Hafenstein S. Honey bee deformed wing virus structures reveal that conformational changes accompany genome release. J Virol. 2017;91:e01795-e1816.
Ouchterlony O, Nilsson LA. Immunodiffusion and immunoelectrophoresis. In: DM Weir, LA Herzerberg, C Blackwell (eds) Handbook of experimental immunology, vol. 1, 4th ed. Blackwell, Oxford (1986)
Paxton RJ. The mite marches on: Varroa jacobsoni found in the UK. Bee World. 1992;73:94–9.
Pingali PL. Green Revolution: Impacts, limits, and the path ahead. Proc Nat Acad Sci. 2012;109:12302–8.
Posada-Florez F, Childers AK, Heerman MC, Egekwu NI, Cook SC, Chen Y, Evans JD, Ryabov EV. Deformed wing virus type A, a major honey bee pathogen, is vectored by the mite Varroa destructor in a non-propagative manner. Sci Rep. 2019;9:e12445.
Procházková M, Škubník K, Füzik T, Mukhamedova L, Přidal A, Plevka P. Virion structures and genome delivery of honeybee viruses. Curr Opin Virol. 2020;45:17–24.
Remnant EJ, Shi M, Buchmann G, Blacquière T, Holmes EC, Beekman M, Ashe A. A diverse range of novel RNA viruses in geographically distinct honey bee populations. J Virol. 2017;91:16.
Remnant EJ, Mather N, Gillard TL, Yagound B, Beekman M. Direct transmission by injection affects competition among RNA viruses in honeybees. Proc R Soc B. 1895;2019(286):20182452.
Roberts JMK, Anderson DL, Durr PA. Metagenomic analysis of Varroa-free Australian honey bees (Apis mellifera) shows a diverse Picornavirales virome. J Gen Virol. 2018;99:818–26.
Roberts JMK, Simbiken N, Dale C, Armstrong J, Anderson DL. Tolerance of honey bees to varroa mite in the absence of deformed wing virus. Viruses. 2020;12:e575.
Rosenkranz P, Aumeier P, Ziegelmann B. Biology and control of Varroa destructor. J Invertebr Pathol. 2010;103:S96–119.
Ryabov EV, Childers AK, Lopez D, Grubbs K, Posada-Florez F, Weaver D, Girten W, vanEngelsdorp D, Chen YP, Evans JD. Dynamic evolution in the key honey bee pathogen deformed wing virus: Novel insights into virulence and competition using reverse genetics. PLOS Biol. 2019;17:1–27.
Ryabov EV, Childers AK, Chen Y, Madella S, Nessa A, vanEngelsdorp D, Evans JD. Recent spread of Varroa destructor virus-1, a honey bee pathogen, in the United States. Sci Rep. 2017;7:e17447.
Ryabov EV, Wood GR, Fannon JM, Moore JD, Bull JC, Chandler D, Mead A, Burrows N, Evans DJ. A virulent strain of deformed wing virus (DWV) of honeybees (Apis mellifera) prevails after Varroa destructor-mediated, or in vitro, transmission. PLOS Pathog. 2014;10:e1004230.
Sievers F, Wilm A, Dineen D, Gibson TJ, Karplus K, Li W, Lopez R, McWilliam H, Remmert M, Söding J, Thompson JD, Higgins DG. Fast, scalable generation of high-quality protein multiple sequence alignments using Clustal Omega. Mol Syst Biol. 2011;7:e539.
Škubník K, Nováček J, Füzik T, Přidal A, Paxton RJ, Plevka P. Structure of deformed wing virus, a major honey bee pathogen. Proc Nat Acad Sci USA. 2017;114:3210–5.
Škubník K, Sukeník L, Buchta D, Füzik T, Procházková M, Moravcová J, Šmerdová L, Přidal A, Vácha R, Plevka P. Capsid opening enables genome release of iflaviruses. Sci Adv. 2021;7:eabd7130.
Tamura K, Nei M. Estimation of the number of nucleotide substitutions in the control region of mitochondrial DNA in humans and chimpanzees. Mol Biol Evol. 1993;10:512–26.
Thaduri S, Locke B, Granberg F, de Miranda JR. Temporal changes in the viromes of Swedish varroa-resistant and varroa-susceptible honeybee populations. PLoS-ONE. 2018;13:e0206938.
Traynor KS, Mondet F, de Miranda JR, Techer M, Kowallik V, Oddie MAY, Chantawannakul P, McAfee A. Varroa destructor: A complex parasite, crippling honeybees worldwide. Trends Parasitol. 2020;36:5–19.
Valles SM, Chen Y, Firth AE, Guérin DMA, Hashimoto Y, Herrero S, de Miranda JR, Ryabov E, ICTV Report Consortium. ICTV Virus Taxonomy Profile: Iflaviridae. J Gen Virol. 2017; 98: 527–528.
Warrit N, Lekprayoon C. Asian honeybee mites. In: HR Hepburn, SE Radloff (eds) Honeybees of Asia. 2011, Springer-Verlag, Heidelberg
Wilfert L, Long G, Leggett HC, Schmid-Hempel P, Butlin R, Martin SJ, Boots M. Deformed wing virus is a recent global epidemic in honeybees driven by Varroa mites. Science. 2016;351:594–7.
Yañez O, Chávez-Galarza J, Tellgren-Roth C, Pinto MA, Neumann P, de Miranda JR. The honeybee (Apis mellifera) developmental state shapes the genetic composition of the deformed wing virus-A quasispecies during serial transmission. Sci Rep. 2020;10:e5956.
Yañez O, Piot N, Dalmon A, de Miranda JR, Chantawannakul P, Panziera D, Amiri E, Smagghe G, Schroeder DC, Chejanovsky N. Bee viruses: routes of infection in Hymenoptera. Front Microbiol. 2020;11:e943.
Yue C, Genersch E. RT-PCR analysis of deformed wing virus in honeybees (Apis mellifera) and mites (Varroa destructor). J Gen Virol. 2005;86:3419–24.
None of this would have been possible without Bill Bailey (deceased) at Rothamsted Research Station in England, who produced the original EBV samples and antisera and decades of advice and support. The original DWV-D sequence data was generated by Fusion Antibodies (Belfast, Northern Ireland) and the Swedish National Genomics Infrastructure (NGI) and processed by Christian Tellgren-Roth and Mahesh Binzer-Panchal of the National Bioinformatics Infrastructure Sweden (NBIS). NJH would like to acknowledge Dr Adjlane Noureddine of the M’hamed Bougara University of Boumerdès, Algeria for help with collecting the Algerian samples. EVR would like to thank Yanping Chen and Jay D. Evans of the USDA for the extensive support of his research programme. Computing resources were provided by: the Swedish National Infrastructure for Computing (SNIC) through the Uppsala Multidisciplinary Center for Advanced Computational Science (UPPMAX) under Project SNIC2018-8-35 (JRM, RK); the USDA-Agricultural Research Service SCINet under project number 0500-00093-001-00-D (AKC, EVR); The Nectar Research Cloud, a collaborative Australian research platform supported by the National Collaborative Research Infrastructure Strategy (NCRIS) (LEB); the University of Exeter High-Performance Computing (HPC) facility (VD, LW, RM, ONW); the Technion Genome Center in Haifa, Israel (NC, NS); the VSC (Flemish Supercomputer Center), funded by Ghent University, FWO and the Flemish Government – department EWI (IM, GS, WD, JM, DCG).
Open access funding provided by Swedish University of Agricultural Sciences. Financial support from the following sources is gratefully acknowledged: EU-STREP grant FOOD-CT-2006-022568, STSM grants 4184 & 4358 from EU-COST-Action FA0803, CB Dennis Foundation, FORMAS grant 219-2009-176 (JRM, RK); EU grants acc. to regulations 1234/2007 and 1308/2013, EU FP7 grant FP7-KBBE.2013.1.3-02 (EG, GS); USDA National Institute of Food and Agriculture (NIFA) grant 2017-06481 (AKC, EVR); USAID grants M29-075, M32-02 and M32-035 (HM, NH); Australian & Pacific Science Foundation grant APSF15-02 and Marie Bashir Institute seed funding 2014 (EJR); Hort Innovation grant PH15001 (LEB); BBSRC grant BB/N000625/1 (LW); intramural grants from IISER-TVM (HS); the Research Foundation–Flanders (IM, GS); Biotechnology and Biological Sciences Research Council SWBio Doctoral Training Partnership training grant BB/M009122/1 (ONW); AgriFutures Australia grant PRJ-8540 (JMKR); FORMAS grant 2016-01356 (FG).
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Additional file 1:
Figure S1. Amplification and sequencing strategy. Figure S2. MENA polymorphisms. Table S1. Primers for amplifying DWV strains. Table S2. Numerical details of the phylogenetic analyses. Table S3. SRA libraries and samples screened for DWV-D.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
About this article
Cite this article
de Miranda, J.R., Brettell, L.E., Chejanovsky, N. et al. Cold case: The disappearance of Egypt bee virus, a fourth distinct master strain of deformed wing virus linked to honeybee mortality in 1970’s Egypt. Virol J 19, 12 (2022). https://doi.org/10.1186/s12985-022-01740-2
- Egypt bee virus
- Deformed wing virus
- Master strain
- Varroa destructor
- Apis mellifera
- Western blot
- RNA sequencing
- Bioinformatic screening