Literature DB >> 31320705

Viral Diversity of Tick Species Parasitizing Cattle and Dogs in Trinidad and Tobago.

Stephen Sameroff1,2, Rafal Tokarz3, Roxanne Albertha Charles4, Komal Jain3, Alexandra Oleynik3, Xiaoyu Che3, Karla Georges4, Christine V Carrington5, W Ian Lipkin3, Chris Oura4.   

Abstract

Ticks are vectors of a wide variety of pathogens that are implicated in mild to severe disease in humans and other animals. Nonetheless, the full range of tick-borne pathogens is unknown. Viruses, in particular, have been neglected in discovery efforts targeting tick-borne agents. High throughput sequencing was used to characterize the virome of 638 ticks, including Rhipicephalus microplus (n = 320), Rhipicephalus sanguineus (n = 300), and Amblyomma ovale (n = 18) collected throughout Trinidad and Tobago in 2017 and 2018. Sequences representing nine viruses were identified, including five novel species within Tymovirales, Bunyavirales, Chuviridae, Rhabdoviridae, and Flaviviridae. Thereafter the frequency of detection of viral sequences in individual tick species was investigated.

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Year:  2019        PMID: 31320705      PMCID: PMC6639388          DOI: 10.1038/s41598-019-46914-1

Source DB:  PubMed          Journal:  Sci Rep        ISSN: 2045-2322            Impact factor:   4.379


Introduction

Many factors, including relative promiscuity in host selection and duration of attachment, contribute to the efficiency of ticks as vectors of microbial pathogens[1]. Ticks transmit a wide range of viral, bacterial, and protozoan pathogens to both humans and other animals[2]. Although the public health emphasis for tick-borne diseases has largely focused on bacterial pathogens, there is abundant evidence that viral pathogens are also important. Ticks are the vectors of several viruses important to human and livestock disease including Powassan virus[3], tick-borne encephalitis virus[4], Crimean-Congo hemorrhagic fever virus[5], Alkhurma hemorrhagic fever virus[6], Colorado tick fever virus[7], Kyasanur Forest virus[8], Louping ill virus[9], Omsk hemorrhagic fever virus[10], African swine fever virus[11], and Nairobi sheep disease virus[12]. With improvements in molecular techniques, novel pathogenic viruses are continually being identified. A recent example is the identification of the novel bunyavirus, severe fever with thrombocytopenia syndrome virus (SFTSV), in 2009[13]. Since its discovery, SFTSV has been associated with 7,419 cases including 355 deaths[14]. Other recently identified tick-borne viruses include Bourbon virus[15], Heartland virus[16] and Guertu virus[17]. Recent metagenomic studies of ticks uncovered a wide range of highly divergent viruses that do not meet current traditional classification guidelines, including the identification of a new viral order, Jingchuvirales[18-25]. A total of 23 tick species have been identified in the Caribbean twin-island Republic of Trinidad and Tobago, parasitizing a wide range of reptiles, amphibians, birds, and mammals[26]. Rhipicephalus sanguineus and Rhipicephalus microplus are particularly important due to their global distribution and association with tick-borne diseases[2,27,28]. R. sanguineus, commonly referred to as the brown dog tick, is a three-host tick that primarily feeds on canines but can also feed on cats, rodents, birds, and humans. It has been implicated in the transmission of pathogenic species of Ehrlichia, Babesia, and Rickettsia[27]. R. microplus, commonly referred to as the southern cattle tick, is a one-host tick that feeds primarily on cattle, deer, and buffalo and has been linked with the transmission of Borrelia, Anaplasma, and Babesia species[28]. To date, neither species has been implicated in the transmission of a viral pathogen. Historically, surveillance on ticks and tick-borne diseases has been limited in the Caribbean compared to other regions of the world. Currently employed diagnostic assays consist of polymerase chain reaction (PCR) or serological screening for known bacterial and parasitic agents of livestock or canine diseases[29-32]. Because of limited microbial discovery research in the country, it is unclear whether ticks transmit any viral agents. In Trinidad and Tobago, there is increasing evidence of tick-borne agents. Cases of a southern tick associated rash illness (STARI)-like illness, a suspected tick-borne rash, have occurred in patients following a tick bite within the country[33]. Tacaribe virus, originally isolated from bat and mosquito samples from these islands, may actually be a tick-borne agent[34,35]. A lack of surveillance in this region, combined with this new evidence supports the need for an exploratory survey of tick-borne pathogens in Trinidad and Tobago. The advent of high throughput sequencing platforms has facilitated research exploring the diverse components of the tick microbiome. An increasing incidence of tick-borne diseases across the world emphasizes the need to further characterize the tick microbiome to uncover novel agents that have the potential to be pathogenic or influence the transmission of known pathogens. Despite a large biodiversity in the Caribbean, research on tick-borne disease has been historically neglected. This study represents the first virome analysis in this region while also surveying the frequency of these viruses within the tick population.

Results

A total of 763 ticks were collected from 15 different sites throughout Trinidad and Tobago (Fig. 1). The collection included ticks from the environment and from 82 different animals. PCR barcoding revealed that 362 ticks were R. microplus (removed from 16 cattle), 395 were R. sanguineus (55 from the environment and the remainder from 52 dogs), and 18 were A. ovale (from 4 hunting dogs). For HTS, 32 pools (16R. microplus, 15 R. sanguineus, 1 A. ovale) consisting of 20 ticks each (except the A. ovale pool, n = 18) were generated from 638 ticks.
Figure 1

Tick collection numbers by site and species in Trinidad and Tobago. This map was generated using QGIS 3.4.2 using DIVA GIS shape files.

Tick collection numbers by site and species in Trinidad and Tobago. This map was generated using QGIS 3.4.2 using DIVA GIS shape files. Two lanes of Illumina HiSeq were used to sequence all tick pools (16 tick pools and one negative control per lane) resulting in 682,261,483 raw reads with an average of 20,250,595 (±4,692,632) raw reads per pool. Of these, 37,650,809 (6%) remained for assembly after filtration and host subtraction, which were assembled into 5,042,271 contigs. Of those contigs, 20,924 (0.42%) could be identified as viral sequences through BLASTn or BLASTx. Detailed information on the sequencing results are provided (Supplemental Tables 1 and 2). Nine viral species were identified (five novel) from five viral families (Table 1).
Table 1

Viruses identified in Trinidad and Tobago through high throughput sequencing.

VirusFamilyTick SpeciesClosest Relative% Identity (aa)PrevalenceGenome Length (nt)*
Trinbago virusFlaviviridae

R. sanguineus

R. microplus

A. ovale

Bole tick virus 486%

24%

3%

5%

16,274
Jingmen tick virus (C)FlaviviridaeR. microplusJingmen tick virus (Kosovo)95%46%

(Segment 1) 3,156

(Segment 2) 2,848

(Segment 3) 2,824

(Segment 4) 2,794

Jingmen tick virus (AS)FlaviviridaeR. microplusJingmen tick virus (Kosovo)94%6%

(Segment 1) 3,012

(Segment 2) 2,814

(Segment 3) 2,667

(Segment 4) 2,701

Blanchseco virusRhabdoviridaeA. ovaleBole tick virus 257%5%11,512
Brown dog tick phlebovirus 1Phenuiviridae

R. sanguineus

R. microplus

Bole tick virus 159%

78%

<1%

(L) 6,614

(S) 1,421

Brown dog tick phlebovirus 2Phenuiviridae

R. sanguineus

R. microplus

Tick phlebovirus93%

91%

<1%

(L) 6,532

(S) 2,093

Lihan tick virus (Trinidad)PhenuiviridaeR. microplusLihan tick virus99%90%

(L) 6,495

(S) 1,546

Cattle tick tymovirus-like virus 1UnclassifiedR. microplusGuarapuaya tymovirus-like 2 (incomplete genome)89%3%6,464
Brown dog tick mivirus 1ChuviridaeR. sanguineusChangping mivirus63%12%11,272
Wuhan mivirus (Trinidad)Chuviridae

R. microplus

R. sanguineus

Wuhan mivirus99%

88%

<1%

11,187

*Approximate genome size. All ORFs are complete but the ends were not confirmed as termini.

Viruses identified in Trinidad and Tobago through high throughput sequencing. R. sanguineus R. microplus A. ovale 24% 3% 5% (Segment 1) 3,156 (Segment 2) 2,848 (Segment 3) 2,824 (Segment 4) 2,794 (Segment 1) 3,012 (Segment 2) 2,814 (Segment 3) 2,667 (Segment 4) 2,701 R. sanguineus R. microplus 78% <1% (L) 6,614 (S) 1,421 R. sanguineus R. microplus 91% <1% (L) 6,532 (S) 2,093 (L) 6,495 (S) 1,546 R. microplus R. sanguineus 88% <1% *Approximate genome size. All ORFs are complete but the ends were not confirmed as termini.

Bunyavirales

Sequences from three phlebovirus-like viruses, tentatively designated as brown dog tick phlebovirus 1 (BDTPV1), brown dog tick phlebovirus 2 (BDTPV2) and Lihan tick virus-Trinidad (LTV-T), were identified. These viruses have shared similarity in both the L and S segments to known phleboviruses[36], but lack an M segment, a critical component of the phlebovirus genome that encodes the viral glycoprotein allowing cell entry[37]. Similar viral sequences have been identified in previous tick virome studies[18,20-22,24,25,38]. BDTPV1 is a novel virus with closest similarity (59% amino acid (aa) in the L segment) to Bole tick virus 1, which was recently identified in Hyalomma asiaticum ticks in China[19]. BDTPV1 had a prevalence rate of 78% of R. sanguineus ticks and was also found in two R. microplus ticks (<1%). BDTPV2 had highest similarity (93% aa in the polymerase) to tick phlebovirus identified in R. bursa ticks in Turkey[39]. Viral nucleic acid was also found in 91% of R. sanguineus ticks and was also detected in two R. microplus ticks (<1%). LTV-T was highly similar (99% aa similarity to the polymerase) to Lihan tick virus, identified in R. microplus ticks in China[19]. LTV-T was highly prevalent in R. microplus ticks sampled with a rate of 90%, but was not found in any other tick species. All three viruses identified cluster with many of the other bunyaviruses lacking M-segments and share a common ancestor with the Uukuniemi phlebovirus group (Fig. 2).
Figure 2

Phylogenetic relationships of Phenuiviridae based on a 483-aa fragment of the RdRp that includes the premotif through motif E of the conserved palm domain.

Phylogenetic relationships of Phenuiviridae based on a 483-aa fragment of the RdRp that includes the premotif through motif E of the conserved palm domain.

Tymovirales

A single virus with similarity to the order Tymovirales was identified and tentatively named cattle tick tymovirus-like virus 1 (CTTV1). This virus was most similar to Guarapuava tymovirus-like 2 (97% aa similarity to the coat protein and 90% aa similarity to the partial polyprotein), which was recently identified in R. microplus ticks parasitizing cattle in Brazil[22]. CTTV1 follows the traditional genome organization for viruses within Tymovirales with a large polyprotein followed by a small coat protein, however was missing the movement protein that overlaps with the polyprotein. The phylogenetic relationship of CTTV1 and other viruses within the order Tymovirales shows that CTTV1 along with Guarapuava tymovirus-like 1 and 2 form a distinct clade separate from other recognized tymoviruses (Fig. 3). CTTV1 was present in only 3% of all R. microplus ticks screened, all of which were removed from the same animal, and was not present in either R. sanguineus or A. ovale ticks.
Figure 3

Phylogenetic relationship of Tymovirales based on a 1068-aa alignment of the replicase polyprotein.

Phylogenetic relationship of Tymovirales based on a 1068-aa alignment of the replicase polyprotein.

Chuviridae

Two species of miviruses were identified in this study. The first, identified in R. microplus, has high similarity (99% aa) to Wuhan mivirus (WMV)[19] and was detected in 88% of the R. microplus ticks sampled and one R. sanguineus sample. The second mivirus, tentatively named brown dog tick mivirus 1 (BDTMV1), was identified in R. sanguineus and had 63% aa similarity to the polymerase of Changping mivirus[19]. BDTMV1 was identified in 12% of the R. sanguineus individuals and was absent in all other tick species surveyed in this study. Both of WMV (Trinidad) and BDTMV1 had a circular genome organization with 4 open reading frames (ORFs), similar to other tick-borne miviruses and clustered with other known tick-borne miviruses (Fig. 4).
Figure 4

Phylogenetic relationships of Chuviridae based on a 377-aa alignment of the RdRp.

Phylogenetic relationships of Chuviridae based on a 377-aa alignment of the RdRp.

Rhabdoviridae

We identified sequences from a novel rhabdovirus in the one pool of A. ovale ticks, tentatively named Blanchseco virus (BCOV). This virus was highly divergent from the most closely related rhabdovirus, Bole tick virus 2 (BTV2)[19], with only 57% aa similarity in the polymerase. The genome of BCOV has the classical rhabdovirus genome organization of N-P-M-G-L, with no additional large ORFs. Comparison of the RNA-dependent RNA polymerase (RdRp) protein sequence revealed that Blanchseco forms part of a monophyletic cluster with other tick-borne rhabdoviruses within the dimarhabdovirus super group (Fig. 5). BCOV was found in only one out of 18 A. ovale ticks (6%).
Figure 5

Phylogenetic relationship of Rhabdoviridae based on a 1,255-aa alignment of the RdRp.

Phylogenetic relationship of Rhabdoviridae based on a 1,255-aa alignment of the RdRp.

Flaviviridae

Sequences from two viruses with similarity to viruses within the Flaviviridae family were identified. The first, tentatively named Trinbago virus (TBOV), is a novel virus with an overall 86% aa similarity to the polyprotein of Bole tick virus 4 (BTV4), a virus recently identified in China[38]. TBOV shares greatest amino acid similarity to viruses within the genus Pestivirus (<30% within the nonstructural protein 3 (NS3) and nonstructural protein 5 (NS5) peptides). Phylogenetic analysis of the NS5 protein indicates that TBOV clusters with a group of viruses that form a distinct clade outside Pestivirus, suggesting that they represent a novel genus within Flaviviridae (Fig. 6). TBOV was the only virus from this study identified in all three tick species, with a prevalence of 24% in R. sanguineus, 3% in R. microplus, and 6% in A. ovale.
Figure 6

Phylogenetic relationships of Flaviviridae based on an alignment of a 655-aa conserved region of the NS5. (A) Phylogenetic tree of all species belonging to Flaviviridae. (B) Close up view of the unclassified multi-segmented Flavi-like group. (C) Close up view of the unclassified Pesti-like group.

Phylogenetic relationships of Flaviviridae based on an alignment of a 655-aa conserved region of the NS5. (A) Phylogenetic tree of all species belonging to Flaviviridae. (B) Close up view of the unclassified multi-segmented Flavi-like group. (C) Close up view of the unclassified Pesti-like group. The second flavivirus clusters with the Jingmen tick virus (JTV) group, a recently identified group of multi-segmented Flaviviridae-like viruses[40]. Complete coding regions of two separate genotypes were assembled and tentatively named Jingmen tick virus (Centeno) [JTV(C)] and Jingmen tick virus (Aripo Savannah) [JTV(AS)]. Both viruses contained four segments. Segment 1 encodes a NS-5 like protein, segment 2 encodes a putative glycoprotein, segment 3 encodes a NS-3 like protein, and segment 4 encodes the putative VP-2 VP-3 proteins[22,40,41]. JTV(C) and JTV(AS) are 95% aa and 94% aa identical to the next closest JTV within the NS5-like protein, respectively. The multi-segmented Flaviviridae-like viruses form two distinct clades with all the viruses within the JTV group forming one monophyletic cluster (Fig. 6). While JTV(C) was identified from ticks collected at multiple geographical regions (both Centeno and Cedros), JTV(AS) was identified only from ticks collected from sites within the Aripo Savannah. The prevalence of JTV (C) was 46% in R. microplus ticks, and the prevalence of JTV(AS) was 6%. We did not identify any co-infections with both JTVs.

Viral richness

Differences in the viral richness between the three tick species were significant at p = 5.70 × 10−17, and all three post hoc pairwise comparisons were also significant after Bonferroni correction (Table 2).
Table 2

Viral richness by tick species.

Species Average number of viruses (individual tick)Standard deviation
A. Ovale •♦ 0.11±0.32
R. sanguineus •+ 2.18±0.82
R. microplus ♦+ 2.35±0.68

•Pairwise comparison of A. ovale and R. sanguineus: p = 1.82 × 10−14.

♦Pairwise comparison of A. ovale and R. microplus: p = 1.55 × 10−14.

+Pairwise comparison of R. sanguineus and R. microplus: p = 8.24 × 10−5.

Viral richness by tick species. •Pairwise comparison of A. ovale and R. sanguineus: p = 1.82 × 10−14. ♦Pairwise comparison of A. ovale and R. microplus: p = 1.55 × 10−14. +Pairwise comparison of R. sanguineus and R. microplus: p = 8.24 × 10−5.

Discussion

The focus of this study was on tick species that parasitize companion animals as well as livestock. The close proximity of these animals to humans may increase the risk of zoonotic transmission. Since R. microplus is a single-host tick, and the preference of R. sanguineus is to hide on building structures and in crevices, using a drag-flag collection method for these species was not practical. Therefore, the sampling strategy chosen was to collect ticks directly from infested animals (cattle and dogs) and their habitat from different regions of the country. This affected collection success, which was higher for R. sanguineus and R. microplus than for A. ovale. Since dogs are not the primary hosts for A. ovale, we speculate that these ticks attached to the dogs as they tracked animals through the bush during hunting. This study characterized the virome of the tick species parasitizing companion animals and livestock in Trinidad and Tobago. Viruses related to those identified in the current study have been identified in other metagenomic tick virome analyses in North America, South America, Asia, and Northern Europe. Similar viruses have been reported to be present in Ixodes, Dermacentor, Rhipicephalus and Hyalomma ticks, despite the extensive evolutionary distance between these genera suggesting a possible symbiotic relationship for some of these viruses with their tick hosts. Analyses of additional tick species from diverse geographical areas will help in confirming the evolutionary association of these viruses with their tick hosts. In previous work, phlebovirus-like viruses that were distinct from other bunyaviruses in that they did not have a glycoprotein-encoding M-segment were also discovered[24,25]. Other groups have subsequently identified similar viruses in ticks from Europe, South America, North America, and Asia[19-21]. We found three such viruses in this study. Lacking the glycoprotein for cellular attachment, these phlebovirus-like viruses currently defy traditional classification, and further work is required to determine if they can form virions, and complete transmission cycles without a glycoprotein[37]. Because of their high prevalence, high similarity across broad geographic regions, and ability to be transovarially transmitted[24], these viruses may represent viral endosymbionts that are not under selective immunological pressure. One possible scenario is that they are helper-dependent viruses, requiring assistance from another microbe or even the host in order to gain cellular entry. Curiously, previous viral metagenomic studies of Amblyomma americanum, did not detect any M segment-less phlebovirus-like viruses[24,25]. They were also absent in the 18 A. ovale ticks analyzed in this study. These results suggest that Amblyomma ticks may have lost these viruses over time, and further investigations into ticks from other geographical locations would be required to test this hypothesis. Miviruses (family Chuviridae) were first discovered in ticks and novel species have been frequently identified in tick metagenomic studies[18-22,24,25]. Miviruses have only recently been classified by the International Committee on Taxonomy of Viruses (ICTV). They belong to the order Jingchuvirales, and were originally associated with viruses within the order Mononegavirales. Jingchuvirales display variable genomic organization, including monopartite linear, monopartite circular, and multipartite circular genomes[19]. To date, miviruses have been predominantly identified in arthropods, and in a single nematode. Similar to the phlebovirus-like viruses, they also have high similarity across broad geographic ranges. For example, miviruses identified in both China and Trinidad share 99% similarity when comparing amino acid sequences. At least one species has been reported to be transovarially transmitted and may be endosymbionts[24]. This study identified a putative highly divergent tymovirus. These viruses are typically associated with plants, where they can cause mosaic disease[42]. Arthropods are presumed to be mechanical vectors, and as a result, tymoviruses are occasionally identified in arthropod metagenomic studies. We speculate that CTTV1, the virus identified in our study, may have been present on the tick cuticle or acquired through the spiracles. The novel rhabdovirus BCOV was identified in one of 18 ticks removed from canines at a single kennel. Rhabdoviridae comprise a wide range of arthropod-borne and zoonotic vertebrate pathogens. Viruses within two genera in this family, Lyssavirus and Ephemerovirus, can infect the cells of the central nervous system, and cause gradual paralysis[43,44]. At the kennel where all 18 A. ovale ticks were obtained, one dog suffered from hind limb paralysis and general weakness. It is possible that this dog was suffering from tick paralysis, a reaction caused by a toxin in the tick’s saliva that can also cause progressive motor paralysis[45]. Alternatively, the paralysis may have been due to central nervous system infection with this novel rhabdovirus. TBOV clusters with an increasing number of novel viruses within the family Flaviviridae that are genetically distinct from flaviviruses in ICTV-recognized genera[38]. These viruses contain NS3 and NS5 domains most similar to viruses within the genus Pestivirus. In previous tick metagenomic studies, viruses had a high degree of association to a single host, being rarely detected in multiple tick species[19,21,22,24,25]. The majority of tick-borne viruses are vertically and not horizontally transmitted[46,47]. TBOV was unique in that it was detected in all three tick species we examined. We propose that the ability of TBOV to infect multiple tick species suggests that it is unlikely to be a tick endosymbiont and instead is likely to be acquired from a vertebrate host. Because flaviviruses can cause human and animal disease, the association of TBOV virus with tick-borne illness warrants further investigation. The Jingmen tick viruses are the only viruses identified in this study that were previously shown to infect a vertebrate host. JTV was first isolated from R. microplus ticks and from JTV antibody-positive cattle serum from China[40] and later in both ticks and blood from cattle in Brazil[22]. Recently, this virus was detected as a co-infection in serum from three patients suffering from Crimean Congo hemorrhagic fever in Kosovo[48]. It was also detected in a red colobus monkey in Uganda[49]. The pathogenicity of JTV is unknown. We detected two strains of JTV in Trinidad and Tobago but they did not occupy the same geographical space. This may be due to cross-immunity within cattle populations, niche separation, or ecological boundaries. In addition to pursuing virome characterization, we were also interested in examining the relative richness of viral diversity by tick species. Our data show that A. ovale ticks harbor fewer viruses than both Rhipicephalus species. Each pool of R. sanguineus and R. microplus included a greater number of viruses than the single A. ovale pool. We acknowledge that the limited number of A. ovale collected may contribute to this result but note precedent for differences in viral diversity by tick species. In a study carried out in the United States, A. americanum was found to contained fewer viruses than Ixodes scapularis and Dermacentor variablis ticks[24]. The clinical implications of our findings are unclear but provide the foundation required to establish the molecular and serological tools required to investigate the role of tick-borne viruses in diseases of dogs and other animals.

Methods

Sample collection

Ticks were collected in Trinidad and Tobago in 2017 and 2018 using convenience sampling, collecting ticks off of the animals they parasitize. Select locations were targeted for collection such as the humane society and animal welfare organizations. Sampling was also conducted in locations at the sylvatic interface where dogs were used for hunting purposes. To collect ticks associated with livestock, government and private farms were targeted. To remove ticks from the animals, a Tick Tornado, a forceps-like device designed specifically to remove ticks without harming the host or the tick itself, was used following the manufacturer’s protocol. Ticks from individual animals were placed into sterile tubes (all ticks removed from one animal in a single tube) and stored at 4 °C during transport. On arrival at The University of West Indies, they were flash frozen at −80 °C. Samples were stored at −80 °C until they were shipped on dry ice to Columbia University for further processing.

Nucleic acid extraction and species determination

Prior to nucleic acid extraction, ticks (separated according to individual animal source) were each washed in 1 ml of hydrogen peroxide followed by three washes with 1 ml of ultraviolet-irradiated, nuclease-free water and then air-dried. Individual ticks were then transferred into a 1.7 ml microcentrifuge tube containing 100 µl of viral transport media (VTM) (Becton Dickinson) and homogenized. Total nucleic acid (TNA) was extracted from 33 µl of tick homogenate on the EasyMag platform (BioMerieux)[50] and eluted in 40 µl. From each sample, 11 µl of the TNA was aliquoted for RT-PCR while the remainder was stored at −80 °C. To identify the tick species, a barcoding PCR was performed using primers targeting the 16s rRNA mitochondrial gene[51]. All PCR products were confirmed using Sanger sequencing.

Library preparation and genome assembly

Following species confirmation, 33 µl of original VTM homogenate from individual ticks were pooled according to species (n = 20 per pool) to create libraries for high-throughput sequencing (HTS). Before extraction on the EasyMag platform (BioMerieux), 300 µl of pooled material was purified to enrich for viral particles. Pools were filtered (0.45 µM) then treated with RNase A (15 minutes at room temperature) and Turbo DNase and Benzonase (30 minutes at room temperature). This method degrades nucleic acids that are not protected by the presence of a viral capsid. TNA (11 µl) from each tick pool was subjected to first and second-strand cDNA synthesis with Super Script III reverse transcriptase (Invitrogen) and exo- Klenow fragment, respectively. Double-stranded DNA was mechanically sheared to an average length of 200 nt and purified using the Focused-Ultrasonicator E210 (Covaris, Woburn, MA). Sequencing was performed on the Illumina HiSeq. 4000 system (Illumina, San Diego, CA) using the Hyper Prep kit (KAPA Biosystems, Boston, MA). The demultiplexed FastQ files were adapter trimmed using the cutadapt program (v1.8.3)[52]. Adapter trimming was followed by generation of quality reports using FastQC software (v0.11.5), which were used to determine filtering criteria based on the average quality scores of the reads, presence of indeterminate nucleotides, and homopolymeric reads[53]. The reads were quality filtered and end trimmed with PRINSEQ software (v0.20.3)[54]. Host background levels were determined by mapping filtered reads against a tick reference database (consisting of all Ixodes scapularis, Ambylomma americanum, and Dermacentor variabilis sequences present in genbank as of June 2018) using Bowtie2 mapper (v2.2.9)[55]. The host-subtracted reads were de novo assembled using the MIRA (4.0) and MEGAHIT (1.1.x) assemblers[56,57]. Contigs and unique singletons were subjected to homology search using Megablast against the GenBank nucleotide database. Sequences that showed low or no homology at the nucleotide level were subjected to a BLASTX homology search against the viral GenBank protein database. Sequences from viral BLASTX analysis were submitted to a second round of BLASTX homology search against the complete GenBank protein database to correct for biased E values and taxonomic misassignments. For some viruses present at a low abundance, we only obtained interspersed reads and no contigs. In these cases, we used PCR on cDNA from the virus-positive pool to fill in gaps in the sequence.

Phylogenetic analysis

Protein sequences were aligned using ClustalW in Geneious 10.2.4. Phylogenetic trees were constructed with MEGA 7.0.26[58], and the robustness of each node was determined using 1,000 bootstrap replicates using a maximum likelihood (ML) method employing an LG + G + I model with nearest-neighbor interchange (NNI) determined to be the best model through a ML fit of 56 different amino acid substitution models[59].

PCR screening

Virus-specific primers were designed for each virus identified through HTS using Primer3Plus. All PCRs were performed using AmpliTaq Gold 360 master mix following the manufacturer’s protocol with the following conditions: heat activation at 95 °C for 10 minutes, 40 cycles of 95 °C for 30 seconds, 55 °C for 30 seconds, 72 °C for 30 seconds, and 72 °C for 5 minutes before storing the samples at 4 °C. The PCR products were visualized on a 1.5% agarose gel with Gel Green. All individual ticks were screened for the presence of each virus identified through HTS. A representative set of PCR products were confirmed using Sanger sequencing.

Statistical methods

Differences in viral richness among the three tick species were compared by the Kruskal-Wallis test with post hoc tests using Bonferroni correction controlling the family-wise error rate at α = 0.05 level. All p-values were two-tailed.

Ethical approval

All experimental protocols were approved through The University of the West Indies (St. Augustine Campus) ethics committee and in accordance with relevant guidelines and regulations. Supplemental Table 1, Supplemental Table 2
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3.  MEGAHIT: an ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph.

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4.  Phylogeny of hard- and soft-tick taxa (Acari: Ixodida) based on mitochondrial 16S rDNA sequences.

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Journal:  Proc Natl Acad Sci U S A       Date:  1994-10-11       Impact factor: 11.205

5.  Hemorrhagic fever caused by a novel tick-borne Bunyavirus in Huaiyangshan, China.

Authors:  Yong-Zhen Zhang; Dun-Jin Zhou; Yanwen Xiong; Xiao-Ping Chen; Yong-Wen He; Qiangzheng Sun; Bin Yu; Juan Li; Yong-An Dai; Jun-Hua Tian; Xin-Cheng Qin; Dong Jin; Zhigang Cui; Xue-Lian Luo; Wei Li; Shan Lu; Wen Wang; Jin-Song Peng; Wen-Ping Guo; Ming-Hui Li; Zhen-Jun Li; Shaomin Zhang; Chen Chen; Yan Wang; Menno D de Jong; Jianguo Xu
Journal:  Zhonghua Liu Xing Bing Xue Za Zhi       Date:  2011-03

6.  Experimental transmission of Powassan virus (Flaviviridae) by Ixodes scapularis ticks (Acari:Ixodidae).

Authors:  A Costero; M A Grayson
Journal:  Am J Trop Med Hyg       Date:  1996-11       Impact factor: 2.345

7.  Taxonomy of the order Bunyavirales: update 2019.

Authors:  Abulikemu Abudurexiti; Scott Adkins; Daniela Alioto; Sergey V Alkhovsky; Tatjana Avšič-Županc; Matthew J Ballinger; Dennis A Bente; Martin Beer; Éric Bergeron; Carol D Blair; Thomas Briese; Michael J Buchmeier; Felicity J Burt; Charles H Calisher; Chénchén Cháng; Rémi N Charrel; Il Ryong Choi; J Christopher S Clegg; Juan Carlos de la Torre; Xavier de Lamballerie; Fēi Dèng; Francesco Di Serio; Michele Digiaro; Michael A Drebot; Xiǎoméi Duàn; Hideki Ebihara; Toufic Elbeaino; Koray Ergünay; Charles F Fulhorst; Aura R Garrison; George Fú Gāo; Jean-Paul J Gonzalez; Martin H Groschup; Stephan Günther; Anne-Lise Haenni; Roy A Hall; Jussi Hepojoki; Roger Hewson; Zhìhóng Hú; Holly R Hughes; Miranda Gilda Jonson; Sandra Junglen; Boris Klempa; Jonas Klingström; Chūn Kòu; Lies Laenen; Amy J Lambert; Stanley A Langevin; Dan Liu; Igor S Lukashevich; Tāo Luò; Chuánwèi Lǚ; Piet Maes; William Marciel de Souza; Marco Marklewitz; Giovanni P Martelli; Keita Matsuno; Nicole Mielke-Ehret; Maria Minutolo; Ali Mirazimi; Abulimiti Moming; Hans-Peter Mühlbach; Rayapati Naidu; Beatriz Navarro; Márcio Roberto Teixeira Nunes; Gustavo Palacios; Anna Papa; Alex Pauvolid-Corrêa; Janusz T Pawęska; Jié Qiáo; Sheli R Radoshitzky; Renato O Resende; Víctor Romanowski; Amadou Alpha Sall; Maria S Salvato; Takahide Sasaya; Shū Shěn; Xiǎohóng Shí; Yukio Shirako; Peter Simmonds; Manuela Sironi; Jin-Won Song; Jessica R Spengler; Mark D Stenglein; Zhèngyuán Sū; Sùróng Sūn; Shuāng Táng; Massimo Turina; Bó Wáng; Chéng Wáng; Huálín Wáng; Jūn Wáng; Tàiyún Wèi; Anna E Whitfield; F Murilo Zerbini; Jìngyuàn Zhāng; Lěi Zhāng; Yànfāng Zhāng; Yong-Zhen Zhang; Yújiāng Zhāng; Xueping Zhou; Lìyǐng Zhū; Jens H Kuhn
Journal:  Arch Virol       Date:  2019-05-07       Impact factor: 2.574

8.  Unprecedented genomic diversity of RNA viruses in arthropods reveals the ancestry of negative-sense RNA viruses.

Authors:  Ci-Xiu Li; Mang Shi; Jun-Hua Tian; Xian-Dan Lin; Yan-Jun Kang; Liang-Jun Chen; Xin-Cheng Qin; Jianguo Xu; Edward C Holmes; Yong-Zhen Zhang
Journal:  Elife       Date:  2015-01-29       Impact factor: 8.140

9.  Generic amplification and next generation sequencing reveal Crimean-Congo hemorrhagic fever virus AP92-like strain and distinct tick phleboviruses in Anatolia, Turkey.

Authors:  Ender Dinçer; Annika Brinkmann; Olcay Hekimoğlu; Sabri Hacıoğlu; Katalin Földes; Zeynep Karapınar; Pelin Fatoş Polat; Bekir Oğuz; Özlem Orunç Kılınç; Peter Hagedorn; Nurdan Özer; Aykut Özkul; Andreas Nitsche; Koray Ergünay
Journal:  Parasit Vectors       Date:  2017-07-14       Impact factor: 3.876

10.  A novel tick-borne phlebovirus, closely related to severe fever with thrombocytopenia syndrome virus and Heartland virus, is a potential pathogen.

Authors:  Shu Shen; Xiaomei Duan; Bo Wang; Liying Zhu; Yanfang Zhang; Jingyuan Zhang; Jun Wang; Tao Luo; Chun Kou; Dan Liu; Chuanwei Lv; Lei Zhang; Chenchen Chang; Zhengyuan Su; Shuang Tang; Jie Qiao; Abulimiti Moming; Cheng Wang; Abulikemu Abudurexiti; Hualin Wang; Zhihong Hu; Yujiang Zhang; Surong Sun; Fei Deng
Journal:  Emerg Microbes Infect       Date:  2018-05-25       Impact factor: 7.163

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  22 in total

1.  2021 Taxonomic update of phylum Negarnaviricota (Riboviria: Orthornavirae), including the large orders Bunyavirales and Mononegavirales.

Authors:  Jens H Kuhn; Scott Adkins; Bernard R Agwanda; Rim Al Kubrusli; Sergey V Alkhovsky; Gaya K Amarasinghe; Tatjana Avšič-Županc; María A Ayllón; Justin Bahl; Anne Balkema-Buschmann; Matthew J Ballinger; Christopher F Basler; Sina Bavari; Martin Beer; Nicolas Bejerman; Andrew J Bennett; Dennis A Bente; Éric Bergeron; Brian H Bird; Carol D Blair; Kim R Blasdell; Dag-Ragnar Blystad; Jamie Bojko; Wayne B Borth; Steven Bradfute; Rachel Breyta; Thomas Briese; Paul A Brown; Judith K Brown; Ursula J Buchholz; Michael J Buchmeier; Alexander Bukreyev; Felicity Burt; Carmen Büttner; Charles H Calisher; Mengji Cao; Inmaculada Casas; Kartik Chandran; Rémi N Charrel; Qi Cheng; Yuya Chiaki; Marco Chiapello; Il-Ryong Choi; Marina Ciuffo; J Christopher S Clegg; Ian Crozier; Elena Dal Bó; Juan Carlos de la Torre; Xavier de Lamballerie; Rik L de Swart; Humberto Debat; Nolwenn M Dheilly; Emiliano Di Cicco; Nicholas Di Paola; Francesco Di Serio; Ralf G Dietzgen; Michele Digiaro; Olga Dolnik; Michael A Drebot; J Felix Drexler; William G Dundon; W Paul Duprex; Ralf Dürrwald; John M Dye; Andrew J Easton; Hideki Ebihara; Toufic Elbeaino; Koray Ergünay; Hugh W Ferguson; Anthony R Fooks; Marco Forgia; Pierre B H Formenty; Jana Fránová; Juliana Freitas-Astúa; Jingjing Fu; Stephanie Fürl; Selma Gago-Zachert; George Fú Gāo; María Laura García; Adolfo García-Sastre; Aura R Garrison; Thomas Gaskin; Jean-Paul J Gonzalez; Anthony Griffiths; Tony L Goldberg; Martin H Groschup; Stephan Günther; Roy A Hall; John Hammond; Tong Han; Jussi Hepojoki; Roger Hewson; Jiang Hong; Ni Hong; Seiji Hongo; Masayuki Horie; John S Hu; Tao Hu; Holly R Hughes; Florian Hüttner; Timothy H Hyndman; M Ilyas; Risto Jalkanen; Dàohóng Jiāng; Gilda B Jonson; Sandra Junglen; Fujio Kadono; Karia H Kaukinen; Michael Kawate; Boris Klempa; Jonas Klingström; Gary Kobinger; Igor Koloniuk; Hideki Kondō; Eugene V Koonin; Mart Krupovic; Kenji Kubota; Gael Kurath; Lies Laenen; Amy J Lambert; Stanley L Langevin; Benhur Lee; Elliot J Lefkowitz; Eric M Leroy; Shaorong Li; Longhui Li; Jiànróng Lǐ; Huazhen Liu; Igor S Lukashevich; Piet Maes; William Marciel de Souza; Marco Marklewitz; Sergio H Marshall; Shin-Yi L Marzano; Sebastien Massart; John W McCauley; Michael Melzer; Nicole Mielke-Ehret; Kristina M Miller; Tobi J Ming; Ali Mirazimi; Gideon J Mordecai; Hans-Peter Mühlbach; Elke Mühlberger; Rayapati Naidu; Tomohide Natsuaki; José A Navarro; Sergey V Netesov; Gabriele Neumann; Norbert Nowotny; Márcio R T Nunes; Alejandro Olmedo-Velarde; Gustavo Palacios; Vicente Pallás; Bernadett Pályi; Anna Papa; Sofia Paraskevopoulou; Adam C Park; Colin R Parrish; David A Patterson; Alex Pauvolid-Corrêa; Janusz T Pawęska; Susan Payne; Carlotta Peracchio; Daniel R Pérez; Thomas S Postler; Liying Qi; Sheli R Radoshitzky; Renato O Resende; Carina A Reyes; Bertus K Rima; Gabriel Robles Luna; Víctor Romanowski; Paul Rota; Dennis Rubbenstroth; Luisa Rubino; Jonathan A Runstadler; Sead Sabanadzovic; Amadou Alpha Sall; Maria S Salvato; Rosemary Sang; Takahide Sasaya; Angela D Schulze; Martin Schwemmle; Mang Shi; Xiǎohóng Shí; Zhènglì Shí; Yoshifumi Shimomoto; Yukio Shirako; Stuart G Siddell; Peter Simmonds; Manuela Sironi; Guy Smagghe; Sophie Smither; Jin-Won Song; Kirsten Spann; Jessica R Spengler; Mark D Stenglein; David M Stone; Jari Sugano; Curtis A Suttle; Amy Tabata; Ayato Takada; Shigeharu Takeuchi; David P Tchouassi; Amy Teffer; Robert B Tesh; Natalie J Thornburg; Yasuhiro Tomitaka; Keizō Tomonaga; Noël Tordo; Baldwyn Torto; Jonathan S Towner; Shinya Tsuda; Changchun Tu; Massimo Turina; Ioannis E Tzanetakis; Janice Uchida; Tomio Usugi; Anna Maria Vaira; Marta Vallino; Bernadette van den Hoogen; Arvind Varsani; Nikos Vasilakis; Martin Verbeek; Susanne von Bargen; Jiro Wada; Victoria Wahl; Peter J Walker; Lin-Fa Wang; Guoping Wang; Yanxiang Wang; Yaqin Wang; Muhammad Waqas; Tàiyún Wèi; Shaohua Wen; Anna E Whitfield; John V Williams; Yuri I Wolf; Jiangxiang Wu; Lei Xu; Hironobu Yanagisawa; Caixia Yang; Zuokun Yang; F Murilo Zerbini; Lifeng Zhai; Yong-Zhen Zhang; Song Zhang; Jinguo Zhang; Zhe Zhang; Xueping Zhou
Journal:  Arch Virol       Date:  2021-12       Impact factor: 2.574

2.  Distribution of Dermacentor silvarum and Associated Pathogens: Meta-Analysis of Global Published Data and a Field Survey in China.

Authors:  Wen-Bin Guo; Wen-Qiang Shi; Qian Wang; Yu-Sheng Pan; Qiao-Cheng Chang; Bao-Gui Jiang; Jing-Xia Cheng; Xiao-Ming Cui; Yu-Hao Zhou; Jia-Te Wei; Yi Sun; Jia-Fu Jiang; Na Jia; Wu-Chun Cao
Journal:  Int J Environ Res Public Health       Date:  2021-04-22       Impact factor: 3.390

Review 3.  Jingchuvirales: a New Taxonomical Framework for a Rapidly Expanding Order of Unusual Monjiviricete Viruses Broadly Distributed among Arthropod Subphyla.

Authors:  Nicholas Di Paola; Jens H Kuhn; Nolwenn M Dheilly; Sandra Junglen; Sofia Paraskevopoulou; Thomas S Postler; Mang Shi
Journal:  Appl Environ Microbiol       Date:  2022-02-02       Impact factor: 5.005

4.  Insights into the Host Range, Genetic Diversity, and Geographical Distribution of Jingmenviruses.

Authors:  Sarah Temmam; Thomas Bigot; Delphine Chrétien; Mathilde Gondard; Philippe Pérot; Virginie Pommelet; Evelyne Dufour; Stéphane Petres; Elodie Devillers; Thavry Hoem; Valérie Pinarello; Vibol Hul; Khamsing Vongphayloth; Jeffrey C Hertz; Irène Loiseau; Marine Dumarest; Veasna Duong; Muriel Vayssier-Taussat; Marc Grandadam; Emmanuel Albina; Philippe Dussart; Sara Moutailler; Julien Cappelle; Paul T Brey; Marc Eloit
Journal:  mSphere       Date:  2019-11-06       Impact factor: 4.389

5.  Proteomics Computational Analyses Suggest That the Envelope Glycoproteins of Segmented Jingmen Flavi-Like Viruses are Class II Viral Fusion Proteins (b-Penetrenes) with Mucin-Like Domains.

Authors:  Courtney E Garry; Robert F Garry
Journal:  Viruses       Date:  2020-02-27       Impact factor: 5.048

6.  Monitoring Silent Spillovers Before Emergence: A Pilot Study at the Tick/Human Interface in Thailand.

Authors:  Sarah Temmam; Delphine Chrétien; Thomas Bigot; Evelyne Dufour; Stéphane Petres; Marc Desquesnes; Elodie Devillers; Marine Dumarest; Léna Yousfi; Sathaporn Jittapalapong; Anamika Karnchanabanthoeng; Kittipong Chaisiri; Léa Gagnieur; Jean-François Cosson; Muriel Vayssier-Taussat; Serge Morand; Sara Moutailler; Marc Eloit
Journal:  Front Microbiol       Date:  2019-10-17       Impact factor: 5.640

7.  Survey and Characterization of Jingmen Tick Virus Variants.

Authors:  Ender Dinçer; Sabri Hacıoğlu; Sırrı Kar; Nergis Emanet; Annika Brinkmann; Andreas Nitsche; Aykut Özkul; Yvonne-Marie Linton; Koray Ergünay
Journal:  Viruses       Date:  2019-11-17       Impact factor: 5.048

8.  RNA Viruses of Amblyomma variegatum and Rhipicephalus microplus and Cattle Susceptibility in the French Antilles.

Authors:  Mathilde Gondard; Sarah Temmam; Elodie Devillers; Valérie Pinarello; Thomas Bigot; Delphine Chrétien; Rosalie Aprelon; Muriel Vayssier-Taussat; Emmanuel Albina; Marc Eloit; Sara Moutailler
Journal:  Viruses       Date:  2020-01-26       Impact factor: 5.048

9.  Human Tacheng Tick Virus 2 Infection, China, 2019.

Authors:  Zhihui Dong; Meihua Yang; Zedong Wang; Shuo Zhao; Songsong Xie; Yicheng Yang; Gang Liu; Shanshan Zhao; Jing Xie; Quan Liu; Yuanzhi Wang
Journal:  Emerg Infect Dis       Date:  2021-02       Impact factor: 6.883

10.  First report of Lihan Tick virus (Phlebovirus, Phenuiviridae) in ticks, Colombia.

Authors:  Yesica López; Jorge Miranda; Salim Mattar; Marco Gonzalez; Joel Rovnak
Journal:  Virol J       Date:  2020-05-05       Impact factor: 4.099

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