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. 2020 Aug 3;16(8):e1008759. doi: 10.1371/journal.ppat.1008759

Circumpolar diversification of the Ixodes uriae tick virome

John H-O Pettersson 1,2,*, Patrik Ellström 3, Jiaxin Ling 1, Ingela Nilsson 4, Sven Bergström 4, Daniel González-Acuña 5, Björn Olsen 3,, Edward C Holmes 2,‡,*
Editor: Nels C Elde6
PMCID: PMC7425989  PMID: 32745135

Abstract

Ticks (order: Ixodida) are a highly diverse and ecologically important group of ectoparasitic blood-feeding organisms. One such species, the seabird tick (Ixodes uriae), is widely distributed around the circumpolar regions of the northern and southern hemispheres. It has been suggested that Ix. uriae spread from the southern to the northern circumpolar region millions of years ago and has remained isolated in these regions ever since. Such a profound biographic subdivision provides a unique opportunity to determine whether viruses associated with ticks exhibit the same evolutionary patterns as their hosts. To test this, we collected Ix. uriae specimens near a Gentoo penguin (Pygoscelis papua) colony at Neko harbour, Antarctica, and from migratory birds—the Razorbill (Alca torda) and the Common murre (Uria aalge)—on Bonden island, northern Sweden. Through meta-transcriptomic next-generation sequencing we identified 16 RNA viruses, seven of which were novel. Notably, we detected the same species, Ronne virus, and two closely related species, Bonden virus and Piguzov virus, in both hemispheres indicating that there have been at least two cross-circumpolar dispersal events. Similarly, we identified viruses discovered previously in other locations several decades ago, including Gadgets Gully virus, Taggert virus and Okhotskiy virus. By identifying the same or closely related viruses in geographically disjunct sampling locations we provide evidence for virus dispersal within and between the circumpolar regions. In marked contrast, our phylogenetic analysis revealed no movement of the Ix. uriae tick hosts between the same locations. Combined, these data suggest that migratory birds are responsible for the movement of viruses at both local and global scales.

Author summary

As host populations diverge, so may those microorganisms, including viruses, that are dependent on those hosts. To examine this key issue in host-microbe evolution we compared the co-phylogenies of the seabird tick, Ixodes uriae, and their RNA viruses sampled from the far northern and southern hemispheres. Despite the huge geographic distance between them, phylogeographic analysis reveals that the same and closely related viruses were found both within and between the northern and southern circumpolar regions, most likely reflecting transfer by virus-infected migratory birds. In contrast, genomic data suggested that the Ix. uriae populations were phylogenetically distinct between the northern and southern hemispheres. This work emphasises the importance of migratory birds and ticks as vectors and sources of virus dispersal and introduction at both the local and global scales.

Introduction

Following the physical separation of a population into geographically isolated sub-populations (i.e. vicariance) genetic changes unique to each sub-population will accumulate. Given a sufficient period of time, such process may result in marked genetic separation. By combining phylogenetic and geographical information—that is, phylogeography [1,2]—it is possible to infer the spatial and evolutionary relationships among such subdivided populations. The analyses of these populations may include inferences on the direction of dispersal between subpopulations and if there have been multiple introductions into a particular geographic region. A recently colonised area is expected to exhibit less genetic diversity than the source population [1,2].

As host populations diverge, so will any microorganisms, including viruses, that are dependent on their hosts. Accordingly, analysis of genome sequence data from these microorganisms can provide additional, and sometimes more detailed, information about the evolutionary and epidemiological history of the host species [3,4]. Phylogenetic resolution of the patterns and processes of host-pathogen co-divergence is particularly strong in the case of RNA viruses in which mutational changes accumulate far more rapidly than in their hosts [4]. For example, analysis of the phylogeny of feline immunodeficiency virus (FIV) provided important information on the recent population and demographic history of its feline host, the cougar Puma concolor, that was not apparent in host genetic data [5].

Ticks (order Ixodida) are among the most diverse groups of ectoparasites. There are close to 900 species of both soft- and hard-bodied ticks within the Ixodida [6,7], of which the genus Ixodes is the most species rich group with nearly 250 species [6,810]. Within this genus, Ix. uriae is the only known tick with a circumpolar distribution in both the northern and southern hemispheres. This species parasitizes close to 100 different vertebrate species, the majority of which are seabirds that breed in dense colonies [11]. In the northern hemisphere, the most commonly recorded hosts are birds of the order Charadriiformes, mainly Alcidae and Laridae, and in the southern hemisphere they are mainly species of the Spheniciformes and Procellariiformes [1114]. Like most hard ticks, Ix. uriae has three active life-stages (larva, nymph and adult) whose questing behaviour is most prevalent during the summer months with a peak during June–July in the northern hemisphere and December–January in the southern hemisphere [1518]. Each active stage takes a single blood-meal from a host during 3–12 days depending on the tick’s life-stage. The duration of the life cycle depends on environmental temperatures and may last from three to seven years, among the longest seen in ticks [13,15,19,20]. Importantly, and perhaps as a consequence of its host and habitat adaptation, Ix. uriae can tolerate temperatures as low as -30°C and as high as +40°C [21], forming aggregations in moist rocky microhabitats [17,21]. Ix. uriae is a well-known vector of multiple different viruses and bacteria, including Borrelia burgdorferi sensu lato [22,23], the agent of Lyme disease, and Gadgets Gully virus [24,25] amongst others (reviewed in [11]). However, although some viruses and bacteria may have zoonotic potential and humans are bitten by Ix. uriae, there is limited evidence for human disease associated with Ix. uriae transmission [11].

Data from both mitochondrial and nuclear genes suggest that Ix. uriae diverged from its most recent common ancestor, Ix. holocyclus, approximately 91 million years ago, and that the Ix. uriae species complex shared a common ancestor some 22 million years ago [26]. Subsequently, Ix. uriae was introduced, possibly twice, into the northern hemisphere from the likely ancestral Australasian population approximately 10 million years ago [26]. Thereafter, both the southern and northern populations diversified into geographically structured subpopulations with no evidence of dispersal between them [26]. However, as some birds can migrate long distances, it is important to determine whether there has been any recent viral dispersal between the two polar regions and if there is any gene flow between the two Ix. uriae sub-populations. Here, by comparing the viromes of Ix. uriae collected from seabirds–the Common murres’ (Uria aalge) and Razorbills’ (Alca torda)–from the northern hemisphere and from around a penguin (Pygoscelis papua) colony in the southern hemisphere, we investigated whether there has been virus dispersal either within or between the northern and southern hemispheres.

Results

In total, we generated 16 RNA sequencing libraries from 33 ticks, all of which were engorged adult female Ix. uriae individuals: 10 libraries using two tick individuals from the southern hemisphere, and six libraries from the northern hemisphere comprising five with two tick individuals and one with three tick individuals (S1 Table). These libraries were sequenced to a high depth and assembled de novo. Across the libraries as a whole we identified 16 RNA viruses, seven of which were novel based on RNA-dependent RNA polymerase (RdRp) sequence similarity. The viruses identified belong to the following orders/families: Bunyavirales (N = 5), Hepeviridae (N = 2), Flavivirus (genus) (N = 1), Mononegavirales (N = 1), Orthomyxoviridae (N = 2), Picornaviridae (N = 1), Reoviridae (N = 2) and Tombusviridae (N = 2) (Fig 1).

Fig 1. Phylogenetic analysis of all the viruses identified here within their respective virus groups, including representative publicly available viruses.

Fig 1

Viruses identified in the current and a related study (27) are indicated, with red and blue circles for viruses identified from the southern and northern circumpolar regions, respectively. Numbers on branches indicate Shimodaira–Hasegawa (SH) support values (only branches with SH support ≥80% are indicated) and branch lengths are scaled according to the number of amino acid substitutions per site. All phylogenetic trees were mid-point rooted for clarity only.

The individual viruses discovered were at abundance levels ranging from 3 to 10,203 reads per million and the total viral abundance per library, approximated from all virus RdRp reads mapped in positive libraries, varied between 14–12,257 reads per million. Correspondingly, the abundance of Ix. uriae, approximated via the host COX1 gene, varied between 1,359–8,101 reads per million (Table 1). Four viruses—Gadgets Gully virus (Flavivirus), Taggert virus (Bunyavirales), Neko harbour virus (Orthomyxoviridae) and Upmeje virus (Tombusviridae)—were highly abundant (i.e. abundance levels above 1,000 reads per million or more than 0.1% of the total number of reads per library). Indeed, Gadgets Gully virus, Taggert virus and Upmeje virus were more abundant than the host COX1 gene (Table 1), reaching 1,704, 1,768 and 10,203 reads per million, respectively, suggesting that they are tick-associated viruses. However, any definitive tick-association of these viruses will need to be determined in future studies.

Table 1. Presence and estimates of virus abundance across libraries.

  Ixodes uriae, Antarctica Ixodes uriae, northern Sweden  
Virus name (abbreviation) IU1 IU2 IU3 IU4 IU5 IU6 IU7 IU8 IU9 IU10 IU15 IU16 IU17 IU18 IU19 IU20 IH 0.1%
Ronne virus (RONV) 14 24 19 16 21 22 4 0 4 7 1 3 6 1 1 1 1
Ronne virus (RONV) 1 3 2 2 2 2 1 0 0 1 10 24 69 7 9 3 3
Bonden virus (BONV) 0 1 0 0 1 0 1 0 0 0 7 13 45 3 4 1 2
Taggert virus (TAGV) 1 4 1 5 1 971 2175 0 1768 1 5 1 1 1 1 1 103
Avalon virus (AVAV) 0 0 0 1 0 11 25 0 21 0 312 0 0 0 0 0 15
Ubmeje virus (UBEV 0 0 0 0 0 0 0 0 0 0 17 203 1 0 0 41 13
Gadgets Gully virus (GGYV) 0 0 0 3 0 0 0 0 1704 0 0 0 1 0 0 0 75
Bulatov virus (BULV) 0 70 88 101 39 0 35 8 12 92 0 0 0 0 0 0 5
Vovk virus (VOVV) 0 14 13 136 24 0 236 3 90 11 0 0 0 0 0 0 4
Umea virus (UMEV) 1 0 1 0 0 1 0 0 0 1 73 506 1438 135 92 15 66
Uumaja virus (UUMV) 1 0 0 1 0 0 0 0 0 1 59 233 502 44 54 80 23
Neke harbour virus (NEHV) 0 0 1 0 2008 0 0 0 2 85 0 1 0 0 0 1 95
Gerbovich virus (GERV) 0 369 3 0 552 0 0 0 3 0 0 0 0 0 0 0 26
Fennes virus (FENV) 0 0 12 61 0 14 0 0 172 0 0 0 0 0 0 0 8
Okhotskiy virus (OKHV) 0 0 0 0 0 0 0 0 0 0 0 296 0 0 0 0 19
Upmeje virus (UPEV) 3 2 2 2 2 1 1 0 2 1 2 2 10203 2 573 661 469
Paradise bay virus (PABV) 4 0 0 0 0 0 0 115 0 0 0 0 0 0 0 0 48
Ix. uriae COX1 1548 2555 2967 1359 3520 2824 3747 2598 1505 1807 8101 4678 1964 3179 4819 4580  
Total virus*** 14 476 132 315 2645 1006 2449 1231 3750 110 478 1275 12257 189 732 765  

Abundance values are expressed as reads per million (see Materials and Methods)

IH 0.1% is the assumed index-hopping cut-off in relation to the most abundant library.

* Values in bold indicate libraries with an abundance greater than 1000 reads per million.

** Libraries in bold within a square indicate abundance levels greater than that of the host.

*** Total virus abundance for a single library as reads per million.

Circumpolar virome comparison

Of the 16 viruses identified, nine were found in Ix. uriae ticks sampled from a Gentoo penguin (Pygoscelis papua) colony at Neko harbour, Antarctica, and seven were found from Ix. uriae ticks collected from Razorbill (Alca torda) and Common murre (Uria aalge) seabirds on Bonden island in the Gulf of Bothnia, northern Sweden (Fig 1, Table 1, S1 Table). The geographical separation of the different virus species’ was confirmed when there was no overlap of individual virus contigs between the two sampling sites (i.e. a particular virus or virus variant was only found in the northern or southern hemisphere sampling site, but not both) (Table 1). This analysis revealed that the majority of viruses were found either in the northern or southern hemisphere Ix. uriae sequence libraries, but not both (Table 1, S2 Table). Notably, however, we identified two variants of Ronne virus (Bunyavirales) in both Antarctica and northern Sweden (Fig 1, Table 1). Ronne virus has been previously identified from ticks in Antarctica [27]. One variant of Ronne virus identified here, also sampled from Antarctica, was highly similar (99.9% amino acid similarity; 99.7% nucleotide similarity) to that previously identified, whereas the second variant, recovered from ticks collected from the north of Sweden, was more divergent in sequence (93.2% amino acid similarity; 80.3% nucleotide similarity). Such genomic similarity is indicative of a relatively recent dispersal event between the northern and southern tick populations, although the direction of migration remains to be determined. Similarly, we identified a novel bunyavirus, Bonden virus, from northern Sweden that is the closest known relative (90.3% amino acid similarity; 78.8% nucleotide similarity) of Piguzov virus identified from Ix. uriae in Antarctica (Fig 1) [27]. Although it is unclear when these two viruses diverged, they clearly point to an historical dispersal event between the two poles.

It was also notable that we identified both Taggert virus (Bunyaviridae) and Gadgets Gully virus (Flaviviridae) from the Neko harbour sampling site. Both these viruses have previously been found on Macquarie island, south-east of the Australian continent [24,25,28]. From northern Sweden we identified Avalon virus (Bunyaviridae) and Okhotskiy virus (Reoviridae), previously isolated from Ix. uriae from the Great island, Newfoundland, Canada, and from islands around the sea of Okhotsk, respectively [2931]. The finding of Avalon virus, Gadgets Gully virus, Okhotskiy virus and Taggert virus at these new locations again indicates that there has been widespread geographical dispersal of viruses within each hemisphere. Although there was some tentative signal for the presence of Avalon virus in two tick libraries from the southern sampling site (dark grey cells, Table 1), these likely represent false-positives due to incorrect genomic mapping as some sequence motifs are similar to those in Taggert virus that is highly abundant in these libraries.

Less clear is whether the divergence of these variants justifies their classification as new virus species. For example, the variant of Gadgets Gully virus identified here shares 92.7% amino acid similarity and 80.7% nucleotide similarity to the currently available genome (YP_009345034.1) originally isolated in 1976 [24]. Given the commonly applied rules for species delineation (< 90% amino acid similarity and/or < 80% nucleotide similarity), the Gadgets Gully variant detected here is on the cusp of being considered a new species. In addition, as the original variant of Gadgets Gully virus(CSIRO122) was isolated in 1976 from Ix. uriae collected from Macquarie island, more than 40 years before those identified here, it is likely that this virus has circulated in this geographic for several decades. Similarly, one of the original variants of Okhotskiy virus isolated in 1972 (ATW68806.1) and that sequenced here share 97.7% amino acid and 87.6% nucleotide similarity in the VP1 (RdRp) segment, also compatible with the idea that this virus has circulated in situ for more than 40 years. Regardless of how and when these viruses transferred to new locations, it is evident that there has been circumpolar dispersal of Ix. uriae associated viruses.

Virus–host co-evolution and migration

To better understand virus–tick co-evolution, the host mitochondrial genome of Ix. uriae was mined from all sequence libraries, and a phylogenetic analysis performed on two sets of representative outgroup and ingroup ixodid species: one utilising complete mitochondrial genome (Fig 2) and a second comprising all mitochondrial gene sequences regardless of length (S1 Fig). For comparison, we performed a phylogenetic analysis of RdRp sequences from a sub-set of closely related bunyaviruses found at either the northern or the southern sampling sites. Although our Ix. uriae sequences only represent a small portion of the distributional range of both circumpolar regions that this species inhabits, the results obtained are in agreement with those of previous studies in identifying two distinct tick populations with no evidence of dispersal between the northern and southern hemispheres (Fig 2, S1 Fig) [26,32,33]. In addition, we observed longer branch lengths in the Antarctic Ix. uriae mitochondrial sequences than those from northern Sweden, and the average number of nucleotide differences per site (π) was greater in the southern (complete genomes [mean and SE]: 44.04 ± 3.51; all mitochondrial data [mean and SE]: 18.57 ± 2.77) than the northern population (complete genomes [mean and SE]: 12.95 ± 2.18; all mitochondrial data [mean and SE]: 4.51 ± 1.08). Although more data is clearly needed, these patterns of genetic diversity are compatible with the idea that the southern circumpolar population represents the ancestral population.

Fig 2.

Fig 2

Phylogenetic analysis of near complete host mitochondrial genome data (mined from each library) and of closely related bunyaviruses found at either the southern (red colour) or northern (blue colour) circumpolar sampling sites. Lines connect viruses with their sampling locations. Numbers on branches indicate SH support values (only branches with SH support ≥80% are indicated) and branch lengths are scaled according to the number of amino acid substitutions per site. All phylogenetic trees were midpoint-rooted for clarity only.

The phylogenetic analysis of a subset of closely related bunyaviruses reveals several patterns of geographic dispersal (Fig 2). The clade that includes Avalon virus, Paramushir virus and Taggert virus suggests that Ix. uriae-associated viruses moves within the circumpolar regions inhabited by Ix. uriae. For example, Avalon virus, closely related to Paramushir virus [34], has been found at the Great island, Newfoundland, Canada [29], along the coast of Brittany, France [35], and now in the northern part of Sweden. As noted earlier, there are also indications of movement between the northern and southern circumpolar regions. Indeed, the close phylogenetic relationships of both Bonden virus and Ronne virus to southern circumpolar viruses clearly demonstrate that viruses are able to move between these two highly disjunct regions. More generally, that there are several different bird species, many of which are known hosts for Ix. uriae [11], that have migratory routes within and between the circumpolar regions [36] and cover the geographical distribution of Ix. uriae, suggests that Ix. uriae associated viruses are being transported by migratory birds within and between the circumpolar regions. Hence, it is possible that these viruses may be present in all regions with permanent populations of Ix. uriae.

Novel and previously identified RNA viruses

We identified a number of other novel and previously identified RNA viruses. For example, Bulatov virus and Vovk virus (Hepeviridae) have previously been identified in Antarctic ticks [27] and were also discovered here (Fig 1, Table 1). They share a common ancestor and are relatively similar genetically (86.5% amino acid identity), but are in themselves divergent, sharing only 35.1% and 36.8% amino acid similarity, respectively, to the tick-borne tetravirus like virus (AII01815). Umea virus (Mononegavirales) was discovered in several of the tick libraries from northern Sweden and was relatively abundant (1,438 reads per million) in one library (Table 1). It shares a most recent common ancestor with Genoa virus (Fig 1) identified from Ix. holocyclus ticks from Australia [37], but is again relatively divergent (56.4% amino acid similarity). Similarly, Ubmeje virus (Bunyavirales) was identified in several libraries from northern Sweden, although it was not abundant (Table 1). Ubmeje virus shared only ~35.8% and 35.9% amino acid identity to Bronnoya virus and Ixodes scapularis bunyavirus, both previously observed in ixodid ticks [38,39], and which together form a monophyletic group (Fig 1).

In the Antarctic sequence libraries we observed Gerbovich virus (Picornaviridae) that has previously been described in this region [27]. The two variants are very similar in sequence (99.7% amino acid similarity, 99.3% nucleotide similarity), but have only 56.5% amino acid similarity with their closest relative, Hubei tick virus 1, identified a pool of ticks from China (Fig 1) [40]. Aside from Okhotskiy virus (Reoviridae) described above, we also identified Fennes virus in the Antarctic sequence libraries, with near identical sequence similarity (99.8% amino acid similarity, 100% nucleotide similarity) to the sequence of this virus identified previously [27]. Fennes virus represents a highly divergent lineage, sharing only 31.0% amino acid similarity with Shelly headland virus discovered in Ix. holocyclus ticks from Australia [37].

Two novel orthomyxoviruses were identified: Uumaja virus from northern Sweden and Neko harbour virus from Antarctica (Fig 1, Table 1). Uumaja virus is most closely related to Zambezi tick virus 1, identified in a Rhipicpehalus sp. tick collected in Mozambique [41]. Neko harbour virus was found to be abundant (more than 2,000 reads per million) in a single library (Table 1) and clusters with Aransas Bay virus [42], to which it was most similar (82.7% amino acid similarity), as well as Jos virus [43], Thogoto thogotovirus [44] and Upolu virus [42]. All these viruses are tick-derived and originate from different continents. This pattern is indicative of a long-term association between ticks and these viruses.

Finally, we identified two novel and divergent viruses within the Tombusviridae: Paradise bay virus from Antarctica and Upmeje virus from the northern Sweden (Fig 1, Table 1). Paradise bay virus grouped with Hypsignathus monstrosus tombus-like virus 2 (50.9% amino acid similarity), a virus sequenced from blood samples of Hammer-headed fruit bats (Hypsignathus monstrosus) collected in the Republic of the Congo [45]. Upmeje virus was found to be highly divergent, sharing only 35.2% amino acid similarity with Sanxia water strider virus 14 and did obviously cluster with any other virus (Fig 1). It is noteworthy that Upmeje virus was the most abundant in our study, attaining more than 10,000 reads per million, some five times greater than the host marker gene abundance in the same library (Table 1).

Discussion

Ticks are the most important blood-feeding arthropods in temperate and polar regions [4654]. Their ability to adapt to harsh, climatologically variable environments and a wide array of vertebrate hosts has enabled them to become established in many habitats and geographic locations. In addition, ticks are well-known vectors of multiple viruses, including those that are known pathogens of humans and other animals, as well as viruses considered or likely to be symbionts [37,38,55]. We studied the virome of the seabird tick, Ix. uriae, that is distributed across both circumpolar regions, as a means to understand virome composition, host–virus co-divergence and the long-distance dispersal of tick-borne viruses. In particular, we assessed whether we could infer dispersal events within and between the southern and northern circumpolar regions that are separated by a substantial geographic distances.

Overall, we identified 16 RNA viruses of which seven were novel. Of the nine viruses previously discovered, several have previously been documented in Ix. uriae and some have been shown to have pathogenic properties to either birds and/or humans [56,57]. For example, Gadgets Gully virus was originally found on Macquarie island, south-west of New Zealand, in the 1970s [24,58], again from ticks collected there in 2002 [25], and now in ticks collected in 2018 at Neko harbour, Antarctica. The level of diversity between those sequences determined previously and that in the present study suggests that Gadgets Gully virus has been maintained in circumpolar regions for several decades, if not centuries. Similarly, we identified Avalon virus, previously found in Canada and France, in the ticks collected at Bonden island, Sweden. This supports the idea that viruses are being transported within the circumpolar regions inhabited by Ix. uriae. These viruses could either be transported with the ticks carried by seabirds during migration or directly by infected birds. Indeed, several well-known bird-hosts of Ix. uriae have circumpolar migration patterns. For example, in the southern ocean, birds of the order Procellariiformes show circumpolar migration involving many stopover sites [59,60]. In the arctic region, many Charadriiform birds undertake seasonal long distance longitudinal migrations. Similarly, the Black legged kittiwake (Rissa tridactyla), Atlantic puffin (Fratercula arctica) and Thick billed murre (Uria lomvia) all show seasonal movements between the eastern and western north Atlantic [61,62].

We also saw evidence of historic movement of viruses between the northern and southern circumpolar regions. In particular, our phylogenetic analysis revealed that Bonden virus, identified in ticks from northern Sweden, was closely related to Piguzov virus from Antarctica [27]. Similarly, Ronne virus, present in Antarctica, was also found in northern Sweden (Figs 1 and 2). The close evolutionary relationship of viruses from the northern and southern circumpolar regions suggests that they have moved between the poles after the Ix. uriae population diverged into two sub-populations. In addition, as the northern and southern Ix. uriae populations are phylogenetically distinct [26], it seems likely that it is viruses rather than the ticks that are transferred between the two polar regions. This, in turn, implies that it is virus-infected migratory birds that transport viruses between the poles. Although some birds species migrate very long distances, few are known to move between the Arctic and Antarctic regions. The Arctic tern (Sterna paradisaea) performs the longest migration of any avian species, traveling the distance between Antarctica to southern Greenland, approximately 24,000 km, in around 40 days [63]. Although there are no records of Ix. uriae on this species, it is likely that they can become infested as they breed in dense colonies near bird species that are well-known hosts of Ix. uriae. As noted above, Procellariiform birds are long distance migrators and a study using geolocators of the Short-tailed shearwater (Ardenna tenuirostris) revealed that this species migrated to south of the Antarctic Polar Front after their breeding period in Tasmania, and following a stopover migrated northward to spend the Arctic summer in a location as far north as the Bering sea [64]. Although the Short-tailed shearwater can migrate the distance in as little as 11–16 days, it remains almost exclusively at sea, only touching land during the breeding season. Hence, tick dispersal by this species seems unlikely. The Sooty shearwater (Ardenna grisea) also undertakes long distance trans-equatorial migrations [65], and other Procellariiform birds breeding in the Antarctic region, such as the Black-browed albatross (Thalassarche melanophris) and the South polar skua (Stercorarius maccormicki), have been occasionally observed in the Arctic region. As both the nymph and adult tick can feed for up to 12 days [13,66], these birds could theoretically act as vehicles for inter-polar virus spread. Hence, although the Ix. uriae phylogeny suggests that there has been no movement of ticks among the southern and northern circumpolar regions, it cannot be excluded that there are as yet unsampled locations in either region where population admixture could occur.

Under what circumstances could a tick then be transferred between the two polar-regions? Unless a journey is made directly between the polar-regions, which is theoretically possible in the case of Short-tailed shearwater, it would be necessary to occur sequentially both with respect to bird stop-over and tick life-stage development. For example, a nymph would initially latch onto the host shortly prior the bird migration, feed for the entire duration of the flight, and develop to the next life-stage during the stop-over. The adult tick would then need to find a new host to continue its journey. Given the long distances and time during which tick and virus have to survive, such events are unlikely to take place in one migration step. At the same time, that we could identify two clear cases of cross-circumpolar dispersal of closely related viruses from such a small sample of viruses indicates that cross-circumpolar transmission may not be infrequent.

The finding of several previously discovered and novel viruses that are known or likely to be tick-associated raises interesting questions about how these viruses are maintained in nature. In the northern circumpolar distribution the tick life cycle can last up to seven years depending on host availability and temperature, and ticks may spend up to eleven months of the year off the host in aggregations formed in moist environments [13,15,17].For viruses to be maintained and transmitted yearly within the tick population, it is arguable that unless the bird hosts develop a chronic viral infection that lasts for a year, or that these viruses are transmitted via other routes than via blood (i.e. directly between hosts), the maintenance of these viruses at a particular location is to a large extent driven by tick behaviour and presence. For example, in the case of tick-borne encephalitis virus, it is hypothesised that Ix. ricinus acts as both the virus reservoir and vector [67,68]. In particular, the behaviour of Ix. uriae forming off-host aggregations, combined with the occasionally relatively short questing period for specific hosts [15,19,69], suggests that the tick non-viraemic co-feeding and trans-stadial transmission [49,67,70,71] of viruses are important mechanisms for the establishment and maintenance of viruses in circumpolar environments. However, despite the key role played by ticks, our study suggests that it is the avian host that likely functions as the dispersal agent of viruses among the circumpolar regions.

In sum, we have shown that the seabird tick Ix. uriae harbours an extensive diversity of viruses belonging to several different families and orders of RNA viruses, and that there has been a transfer of viruses both within and between the northern and the southern circumpolar regions. As such, we stress the importance of the millions of birds that each year migrate across the globe and that have the capacity to transfer viruses to and from adjacent and distant geographical areas.

Materials and methods

Tick collection and total RNA extraction

Adult female Ix. uriae ticks were collected during 2016–2017 from the Bonden island bird station in northern Sweden (lat/long: 63.433617, 20.038344) and from the ground around a Gentoo penguin (Pygoscelis papua) colony at Neko harbour, Antarctica (lat/long: -64.824066, -62.665999), during 2018. All ticks were morphologically keyed to species [72] and were subsequently stored in -80°C until further processing. Prior to total RNA extraction, ticks were washed in PBS buffer two times and then pooled (S1 Table). Total RNA from 16 tick pools was then extracted using the RNeasy Plus Universal kit (Qiagen) following the manufacturer’s instructions.

Sequence library construction and sequencing

Sequencing libraries, data generation and analysis was performed as previously described [38,73]. Briefly, ribosomal RNA (rRNA) was depleted from the total RNA extracts using the Ribo-Zero Gold (human-mouse-rat) kit (Illumina) following the manufacturer’s instructions. RNA sequencing libraries were then prepared for all rRNA depleted extracts using the TruSeq total RNA library preparation protocol (Illumina) followed by paired-end (150 bp read-length) sequencing on a single Illumina HiSeq X10 lane by the Beijing Genomics Institute, Hong Kong. The raw sequence output was then quality trimmed with Trimmomatic v.0.36 [74] using the default settings for paired-end sequence data and assembled de novo using Trinity v.2.5.4 [75] with read normalisation apart from default options.

Virome analysis and presence across libraries

All de novo assembled contigs were initially screened against the complete non-redundant nucleotide and protein databases (NCBI GenBank) using blastn v.2.6.0+ [76] and Diamond v.0.9.15.116 [77], respectively, employing cut-off e-values of 1 × 10−5 for both methods. To further assess the data and to identify potential endogenous viral elements, all assemblies indicative of RNA virus origin were screened using the NCBI Conserved Domain Database (www.ncbi.nlm.nih.gov/Structure/cdd/cdd.shtml) with an expected value threshold of 1 × 10−3. Relative abundance of the identified viruses was determined by comparing the mapping results of the Ix. uriae mitochondrial cytochrome C oxidase I (COX1) gene (NC_006078.1, positions 1214–2758) against all RdRp containing contigs using Bowtie2 v.2.3.4 [78], employing the default local setting for all libraries. Relative abundance was calculated as reads per million: that is, the number of reads mapped to a contig divided by the total number of reads in a library multiplied by a million. A particular virus was considered abundant if (i) it represented >0.1% of total ribosomal RNA depleted reads in the library, equivalent to a reads per million value of 1000 or more, and (ii) if the abundance was higher than that of the host COX1 gene [38,73]. If the relative abundance of a virus contig was less than 1 read per million mapped, or below the level of cross-library contamination due to index-hopping, assumed here as 0.1% of the most abundant library for the virus in question, the library was considered negative for the presence of the virus contig. A virus was considered novel if the RdRp region showed < 90% amino acid or < 80% nucleotide similarity to any previously identified virus.

Virus evolutionary history

To infer the evolutionary history of all the RNA viruses identified here they were combined with representative amino acid data sets of the RNA-dependent RNA-polymerase genes of viruses from the orders Bunyavirales, Mononegavirales, Orthomyxovirales, the families Picornaviridae, Reoviridae, the Hepe-Nido-like and Tombus-Noda-like groups, and the genus Flavivirus. These sequences were then aligned using the E-INS-i algorithm in Mafft v.7.271 [79]. To reduce alignment uncertainty, regions that aligned poorly were removed using TrimAl v. v1.4.rev15 [80] under the ‘strict’ settings. Each alignment was then subjected to model testing to determine the best-fit model of amino acid substitution using ModelFinder [81] via IQ-TREE v.1.6.12 [82]. Finally, maximum likelihood phylogenetic trees of each data set were estimated using the IQ-TREE package, implementing a stochastic hill-climbing nearest-neighbour interchange tree search. Phylogenetic robustness was assessed using Shimodaira–Hasegawa (SH)-like branch supports.

Virus–tick evolutionary history

To compare the evolutionary history of Ix. uriae and a subset of closely related Bunyavirales found at both sampling sites (see Results), the mitochondrial genome of Ix. uriae (NC_006078.1) was used as reference for mapping with Bowtie2 v.2.3.4 [78], with local settings, against all sequence libraries. Two alignments were constructed for the mitochondrial nucleotide consensus sequences present in each library: (i) only complete Ixodidae reference genomes (N = 24), and (ii) complete genomes of Ix uriae and Ix holocyclus (N = 19) from the complete genome alignment combined with shorter mitochondrial gene sequences (N = 148) taken from two previously published data sets [26,33]. Both alignments were constructed using the G-INS-i algorithm in Mafft v.7.271 [79]. Following visual inspection of the alignment in AliView v.1.26 [83], model testing and estimation of a maximum likelihood phylogenetic tree was performed in IQ-TREE as described above. The corresponding virus phylogeny was inferred using the nucleotide RdRp open reading frame sequences of a subset of bunyaviruses, keeping the open reading frame intact and utilising the same model testing and phylogenetic tree inference procedure as described above. All phylogenetic trees computed were visually compared and edited with FigTree v.1.4.3 (https://github.com/rambaut/figtree/). Comparison of genetic diversity between the northern and southern populations was undertaken by computing the number of base differences per site averaged over all sequence pairs between the two populations (i.e. π) using Mega X v.10.1.1 [84].

Supporting information

S1 Table. Sequence library information regarding sampling location, host species and collection year.

(XLSX)

S2 Table. Read mapping results for each identified virus and host gene per individual library.

(XLSX)

S1 Fig. Phylogenetic analysis of Ixodes uriae based on complete mitochondrial genomes and with the addition of shorter mitochondrial gene sequences.

(PDF)

Acknowledgments

The authors thank Thomas G.T. Jaenson (Uppsala University) for insightful and constructive comments that improved the manuscript significantly.

Data Availability

The raw sequence data generated here have been deposited in the NCBI Sequence Read Archive (BioProject: PRJNA594749) and all virus related sequences have been deposited on NCBI GenBank (accession numbers: MN830224–MN830247).

Funding Statement

J.H.O.P is funded by the Swedish research council FORMAS (grant nr: 2015-710). E.C.H is funded by the Australian Research Council, Australian Laureate Fellowship (FL170100022). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

S1 Table. Sequence library information regarding sampling location, host species and collection year.

(XLSX)

S2 Table. Read mapping results for each identified virus and host gene per individual library.

(XLSX)

S1 Fig. Phylogenetic analysis of Ixodes uriae based on complete mitochondrial genomes and with the addition of shorter mitochondrial gene sequences.

(PDF)

Data Availability Statement

The raw sequence data generated here have been deposited in the NCBI Sequence Read Archive (BioProject: PRJNA594749) and all virus related sequences have been deposited on NCBI GenBank (accession numbers: MN830224–MN830247).


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