Abstract
Background
Mosquitoes are the potential vectors for a variety of viruses that can cause diseases in the human and animal populations. Viruses in the order Picornavirales infect a broad range of hosts, including mosquitoes. In this study, we aimed to characterize a novel picorna-like virus from the Culex spp. of mosquitoes from the Zambezi Valley of Mozambique.
Methods
The extracted RNA from mosquito pools was pre-amplified with the sequence independent single primer amplification (SISPA) method and subjected to high-throughput sequencing using the Ion Torrent platform. Reads that are classified as Iflaviridae, Picornaviridae and Dicistroviridae were assembled by CodonCode Aligner and SPAdes. Gaps between the viral contigs were sequenced by PCR. The genomic ends were analyzed by 5′ and 3′ RACE PCRs. The ORF was predicted with the NCBI ORF finder. The conserved domains were identified with ClustalW multiple sequence alignment, and a phylogenetic tree was built with MEGA. The presence of the virus in individual mosquito pools was detected by RT-PCR assay.
Results
A near full-length viral genome (9740 nt) was obtained in Culex mosquitoes that encoded a complete ORF (3112 aa), named Culex picorna-like virus (CuPV-1). The predicted ORF had 38% similarity to the Hubei picorna-like virus 35. The sequence of the conserved domains, Helicase-Protease-RNA-dependent RNA polymerase, were identified by multiple sequence alignment and found to be at the 3′ end, similar to iflaviruses. Phylogenetic analysis of the putative RdRP amino acid sequences indicated that the virus clustered with members of the Iflaviridae family. CuPV-1 was detected in both Culex and Mansonia individual pools with low infection rates.
Conclusions
The study reported a highly divergent, near full-length picorna-like virus genome from Culex spp. mosquitoes from Mozambique. The discovery and characterization of novel viruses in mosquitoes is an initial step, which will provide insights into mosquito-virus interaction mechanisms, genetic diversity and evolution.
Electronic supplementary material
The online version of this article (10.1186/s12985-018-0981-z) contains supplementary material, which is available to authorized users.
Keywords: Culex, Mosquitoes, Picorna-like virus, Iflavirus, RNA virus
Background
Viruses in the order Picornavirales infect a variety of plants, animal hosts and insects. The order consists of five viral families, Dicistroviridae, Iflaviridae, Marnaviridae, Picornaviridae, Secoviridae, and an unassigned group [1]. Viruses in this order have a single-stranded, positive-sense RNA genome (+ssRNA) of approximately 9 KB in length and are non-enveloped. Most of the genomes in this order have a single open reading frame (ORF) that is flanked with a genome-linked, virus-encoded protein (VPg) at the 5′ end and a poly (A) tail at the 3′ end. The ORF encodes both structural and non-structural proteins having a conserved organization of the helicase-protease-RNA-dependent RNA polymerase (RdRp) domains [2]. The translation process is controlled by an internal ribosomal entry site (IRES) and the translated proteins are proteolytically cleaved into mature viral proteins. Dicistroviridae and Iflaviridae mainly consist of insect picorna-like viruses and are rapidly expanding families in the order Picornavirales. Some of these viruses are pathogenic and cause severe mortality to the host, such as deformed wing virus [3] and slow bee paralysis virus in honeybees [4].
Culex mosquitoes are known as potential vectors for several pathogenic viruses, such as Japanese encephalitis virus, West Nile virus and Zika virus [5–7] and are often associated with human infections and can cause mortality worldwide. In contrast, several mosquito-only viruses identified in Culex spp., have only been isolated from mosquitoes or mosquito cell lines [8, 9] and have no known association with vertebrates.
High-throughput sequencing (HTS) technologies have enabled the identification and genetic characterization of many novel viruses, including picorna-like viruses, from various insect hosts, such as plant hoppers [10], bean bugs [11], cotton bollworms [12], spiders [13, 14], as well as Armigeres and Anopheles mosquitoes [15, 16]. However, the picorna-like viruses in mosquitoes are poorly characterized. Previously, we have through viral metagenomics on Culex mosquitoes from Mozambique discovered a large number of sequences related to the Iflaviridae viral family [17]. In this study, we used these sequences to assemble and characterize a full-length picorna-like viral genome from the Culex mosquito pool using PCR and Sanger sequencing.
Methods
Mosquito collection, viral metagenomics and bioinformatics analysis
The mosquito collection and viral metagenomic analysis were performed in our previous study on Culex mosquitoes [17]. Briefly, mosquitoes were collected from Cuacua village in the Zambezi Valley of Mozambique from October–November 2014 using CDC light traps, and the genus was determined morphologically. The mosquito pools (up to 20 mosquitoes per pool) were homogenized mechanically. The total RNA was extracted with TRIzol LS reagent (Invitrogen, Life Technologies, USA) according to the manufacturer’s instructions. The samples were pre-amplified by Sequence Independent Single Primer Amplification (SISPA) and submitted to the SciLifeLab for library preparation and sequencing. The sample was sequenced on an Ion Torrent PGM sequencer with an Ion 318™ chip v2 and a max read length of 400 bp. The high-quality reads were mapped to the host genomes (Anopheles, Aedes and Culex genomes), and unmapped reads were then classified using BLASTn and BLASTx with an E-value cutoff of 1e-03. The virus-related sequences were extracted and assembled with the de novo assembler SPAdes [18].
Sequencing of the viral genome and sequence analysis
Extracted RNA was used to synthesize cDNA using Superscript III (Invitrogen) as recommended by the supplier. First-strand synthesis was initiated with random primers. To sequence the genome gaps between the HTS assembled contigs, primers were designed, and the PCR reactions were carried out in a 25-μl reaction using the thermal profile as follows: 95 °C for 10 min; followed by 35 cycles of 95 °C for 30 s, 60–62 °C for 30 s and 72 °C for 1–1.5 min; 72 °C for 7 min. The list of the primers used in this study is enclosed as a Additional file 1. The positive PCR products were sequenced at Macrogen Europe (Macrogen Inc.) using Sanger sequencing. After the amplification and genetic characterization, Bowtie2 [19] was used to assess the genome coverage in the original HTS dataset by mapping the viral metagenomic reads back to the assembled, near full-length viral genome.
RACE analysis of 5′ and 3′ UTRs
The extreme genomic 5′ and 3′ ends were analyzed using rapid amplification of the cDNA ends (RACE). To determine the 3′ end of the viral genome, a total of 1.2 μg of total RNA were annealed with a 0.5 μM of poly (A) specific primer (AP) in a 20 μl volume by heating at 65 °C for 5 min and chilling on ice for 2 min. First-strand cDNA was synthesized with Superscript III at 42 °C for 50 min followed by an enzyme inactivation at 70 °C for 15 min. A gene-specific forward primer (GSP-F) and universal amplification primer (UAP) were used to amplify the viral 3′ end sequences using AmpliTaq Gold DNA polymerase. For the 5′ genomic ends, 1.6 μg of total RNA and 0.5 μM of GSP-RT primer were mixed in a total volume of 20 μl, incubated at 65 °C for 5 min and chilled on ice for 2 min. First-strand synthesis was carried out by Superscript III as described previously. The RNA templates from the cDNA:RNA hybrids were degraded with 1.5 U of RNase H at 37 °C for 20 min. The excess primers from the cDNA reaction were removed using the GeneJet PCR purification kit (Thermo Fisher Scientific). The cDNA was recovered in 15 μl of elution buffer and mixed with 5 μl of 5× tailing reaction buffer, 2.5 μl of 2.5 mM dCTP and 2 μl of terminal deoxynucleotidyl transferase (Tdt) (Thermo Fisher Scientific) for 5′ end tailing at 37 °C for 15 min and then 10 min at 65 °C to inactivate the reaction. For the first round of amplification, Platinum SuperFi DNA Taq polymerase (Thermo Fisher Scientific) was used. In short, 2 μl of cDNA was used in a 25-μl reaction with 10 pmols of each GSP-reverse primer and an AUAP forward primer. The following thermo profile was used to carry out the amplification reactions: 95 °C for 2 min; 35 cycles of 95 °C for 10 s, 60–62 °C for 10 s and 68 °C for 2 min; 68 °C for 5 min and then cooling to 4 °C. The amplification products from the first round were diluted 20-fold in 1 mM EDTA. For the second round of amplification, 2 μl of diluted product and 10 pmols of GSP2- reverse primer and AUAP forward primer were used in a final volume of 25 μl, and the reaction was carried out as before. The amplified PCR products were visualized, and the bands were purified using GeneJet Gel Extraction Kit (Thermo Fisher Scientific). The purified PCR products were cloned into the pJET1.2 vector using the CloneJET PCR cloning kit (Thermo Fisher Scientific) and sequenced at Macrogen Europe.
Analysis of the nucleotide sequence and evolutionary relationships
The open reading frame (ORF) of the viral genome was predicted using ORF finder at NCBI (https://www.ncbi.nlm.nih.gov/orffinder). The conserved domains (helicase, protease and RNA-dependent RNA polymerase (RdRP)) in the predicted ORF amino acid sequence were analyzed by multiple sequence alignment with other members of the order Picornavirales using ClustalW. The pairwise identity percentage matrix was generated with MegaAlign 9.0.4 (DNASTAR). To determine the phylogenetic relationships, the predicted RdRP region of different viruses belonging to the order Picornavirales were obtained from GenBank. ClustalW alignment of 421 amino acids (aa) corresponding to 2650–3071 aa positions were used and the phylogeny was generated using the Maximum Likelihood method based on the JTT matrix-based model with MEGA 7.0.26 software [20]. All positions containing gaps and missing data were eliminated, resulting a total of 256 aa positions of RdRP region in the final dataset. The statistical significance of the tree topologies was evaluated by 500 bootstraps. Viral sequences used in the multiple sequence alignment and phylogeny are summarized in Table 1.
Table 1.
Host | Virus name | Abbreviation | Genbank accession no. | Reference |
---|---|---|---|---|
Plant | Cowpea mosaic virus | CPMV | CAA25029.1 | [33] |
Parsnip yellow fleck virus | PYFV | BAA03151.1 | [34] | |
Algae | Heterosigma akashiwo RNA virus | HaRNAV | AAP97137.1 | [35] |
Mammals | Human poliovirus | PV | NP_041277.1 | [36] |
Foot-and-mouth disease virus | FMDV | CAA25416.1 | [37] | |
Encephalomyocaditis virus | EMCV | NP_056777.1 | [38] | |
Human rhinovirus 1B | HRV | BAA00168.1 | [39] | |
Insect | Slow bee paralysis virus | SBPV | ABS84820.1 | [40] |
Brevicoryne brassicae virus | BrBV | YP_001285409.1 | [41] | |
Deformed wing virus | DWV | NP_853560.2 | [23] | |
Varroa destructor virus | VDV-1 | YP_145791.1 | [42] | |
Ectropus obliqua picorna-like virus | EoV | AAQ64627.1 | [43] | |
Kakugo virus | KV | BAD06930.1 | [44] | |
Aphid lethal paralysis virus | ALPV | NP_733845.1 | [45] | |
Perina nuda virus | PnV | NP_277061.1 | [22] | |
Black queen cell virus | BQCV | NP_620564.1 | [24] | |
Cricket paralysis virus | CrPV | AAF80998.1 | [46] | |
Acute bee paralysis virus | ABPV | AAN63804.2 | [47] | |
Triatoma virus | TrV | AAF00472.1 | [48] | |
Hematobi P virus | HiPV | BAA32553.1 | [49] | |
Sacbrood virus | SBV | NP_049374.1 | [50] | |
Plaitia stali intestine virus | PSIV | BAA21898 | [51] | |
Drosophila C virus | DCV | AAC58807.1 | [25] | |
Rhapalosiphum padi virus | RhPV | NP_046155.1 | [52] | |
Infectious flacherie virus | IFV | ADP24157.1 | [53] | |
Hubei picorna-like virus 35 | HplV-35 | YP_009337666.1 | [28] | |
Hubei picorna-like virus 34 | HplV-34 | YP_009337152.1 | [28] | |
Hubei arhropod virus 1 | HuAV 1 | YP_009336629.1 | [28] | |
Lasiun niger virus 1 | LniV-1 | ASK12212.1 | [54] | |
Shuangao insect virus 8 | ShiV-8 | APG77945.1 | [28] | |
Solenopsis invicta virus 4 | SINV-4 | ASK12194.1 | [54] | |
Solenopsis invicta virus 2 | SINV-2 | ASK12217.1 | [54] | |
Hubei picorna-like virus 81 | HplV-81 | APG77984.1 | [28] | |
Lasius neglectus virus 1 | LneV-1 | ASK12212.1 | [54] | |
Armigeres iflavirus | AaIFV | LC310707 | [15] | |
Moku virus | MV | KU645789 | [55] | |
Shrimp | Taura syndrome virus | TSV | ABB17263.2 | [56] |
Crab | Mud crab dicistrovirus | MCDV | YP_004063985.1 | [57] |
Detection of the virus by RT-PCR assays
Extraction of the total RNA from Culex and Mansonia mosquito pools was performed as described above. Up to one microgram of total RNA was used for first-strand cDNA synthesis with Superscript III and random hexamers, and RT-PCR was performed with AmpliTaq Gold DNA polymerase. The PCR primers used in the assay were 8F (5’-CGACCTAGGACTTATCCAGC-3′) and 7R (5’-ACAATCTAGTGCCTCCTTCTG-3′), with an expected amplicon size of 577 bp. The PCR program was used as follows: 95 °C for 10 min, 35 cycles at 95 °C for 30 s, 60 °C for 30 s and 72 °C for 1 min, and a final extension at 72 °C for 5 min.
Results
The viral metagenomic analysis on Culex spp. mosquitoes showed that the majority of the viral sequences (94.6%) were classified as the Iflaviridae, Dicistroviridae and Picornaviridae viral families [17]. The sequences were assembled into four longer contigs ranging from 578 to 2240 nt, and these contigs showed the closest similarity to Hubei picorna-like virus 35 with an amino acid identity of 37–49% (Table 2). Together, they covered approximately 60% of the Hubei picorna-like virus 35 genome (YP009337666.1). By filling the gaps between the contigs and through the RACE analysis, a nearly full-length viral genome was obtained. Unfortunately, the 3′ RACE of the viral genome was unsuccessful, while the partial 5′ UTR including complete coding sequence was obtained through a series of three successive 5′ RACE reactions. In summary, the near-full length genome, containing the entire coding region, was obtained. This sequence is 9740 nt in length and was tentatively named Culex picorna-like virus 1 (CuPV-1). The genome sequence was submitted to GenBank under the accession number MG833031.
Table 2.
Contig name | Contig length in nt |
Closest relative | % Identity | Accession number |
---|---|---|---|---|
contig1 | 2240 | Hubie picrona-like virus 35 | 41 | YP009337666.1 |
contig2 | 1456 | Hubie picrona-like virus 35 | 37 | YP009337666.1 |
contig3 | 869 | Hubie picrona-like virus 35 | 41 | YP009337666.1 |
contig4 | 578 | Hubie picrona-like virus 35 | 49 | YP009337666.1 |
Open reading frame analysis and genome organization
The viral genomic sequence was found to be A/U rich (A- 32.23%, U- 31.02%, G- 21.79% and C- 14.94%). An in silico analysis of the identified nucleotide sequence of CuPV-1 showed that the genomic RNA contains a single large open reading frame (ORF) oriented from the 5′ to 3′ end. This large ORF consists of 9339 nt, encoding a 3112-amino acid protein and accounting for 95.58% of the CuPV-1 genome (Fig. 1). It has a predicted molecular mass of 352.21 kDa and theoretical isoelectric point (pI) of 5.78. The ORF was appended by a partial 5′ and 3′ UTRs which are 361 and 41 nt respectively. No large ORFs were found in the inverse orientation of the CuPV-1 genome, suggesting that the CuPV-1 genome is a positive-strand RNA virus.
Structural proteins
Conserved domains of structural proteins were found on 5′ end of the CuPV-1 ORF. An rhv_like domain (Picornavirus capsid protein domain_like, cd00205) was identified by NCBI BLAST conserved domain suite with an E-value of 3.73e-19, at amino acids 682–876. The deduced amino acid multiple sequence analysis of the insect picorna-like viruses, including CuPV-1, revealed that CuPV-1 contains key motifs that are known to be present in the capsid proteins of picornaviruses. The conserved motifs identified on the amino acid sequences were: YXGX8VX4HX9F for 1C (VP3), FXRG and DDFX7GXP for 1D (VP1) (Additional file 2, A and B). The cleavage site for 1B/1C (NX/DXP) was also detected in CuPV-1 (Fig. 1). No conserved motifs for 1A (VP2) (NXNXFQXG) and the leader protein, the most variable region of the insect picorna-like virus genomes, were identified.
Non-structural proteins
The comparison of the CuPV-1 non-structural proteins with other picorna-like viral proteins was performed to identify the similarities and conserved regions of the putative helicase, protease and RdRP (Fig. 2).
Helicase: Three conserved helicase regions were recognized in the deduced amino acid sequences of the predicted CuPV-1 ORF ranging from 1624 to 1797. A conserved RNA-helicase domain (pfam00910, E-value 2.83E-11) was identified in this region. The highly conserved consensus sequence within the first domain, GXXGXGKS, was found between amino acid positions 1650–1657, although ‘K’ was substituted for ‘G’ at the 1653 amino acid position. The last two conserved domains deviated somewhat from the consensus. The highly conserved amino acids were QX5DD and KGX4SX5STN, while the equivalents in CuPV-1 were HX5DD and KDX4PX5TSN, respectively (Fig. 2a).
Protease: The deduced amino acid sequence of the CuPV-1’s ORF from 2331 to 2508 is similar to the protease sequence of the other picorna-like viruses [10, 21]. The conserved motif, GXCG, was found at 2469–2472, and the equivalent motif of GXHXXG, SXHXXG was found at 2485–2490. The amino acids are thought to form a catalytic triad of the protease, with the presence of H2349, D2388 and C2471 in this region (Fig. 2b).
RNA-dependent RNA polymerase (RdRP): Eight conserved domains, found between 2650 and 3071 in the deduced amino acid sequence of CuPV-1, correspond to those recognized previously, and an RNA_dep_RNAP domain (cd01699; E-value 2.52e-44) was also found in this region (Fig. 2c). This showed that the CuPV-1 RdRP belongs to a superfamily of positive-strand RNA eukaryotic viruses. The conserved or equivalent domains I-VIII in the RdRP of CuPV-1 are located in amino acids between 2743 and 3041 (Table 3). The RdRP amino acid sequence identity between CuPV-1 and closely related virus (HplV-35) was found to be 57.2%. The amino acid sequence identity matrix with RdRP regions and complete polyproteins was described in the Additional file 3.
Table 3.
RNA-dependent RNA polymerase domains | Amino acid positions | Equivalent conserved domains in CuPV-1 |
---|---|---|
I | 2743–2748 | DCLKDE |
II | 2764–2790 | FSMSNIEGSIALRRFTLSLTNHIKNNR |
III | 2795–2807 | VCVGINPESPEWT |
IV | 2823–2833 | DFTNFGAGLNY |
V | 2886–2905 | GSPSGACITVEINSFVHLMY |
VI | 2955–2965 | TACVYGDDGIF |
VII | 3007–3019 | EECTFLKRRFVTH |
VIII | 3027–3041 | AAEMEWLSIEECVKW |
Phylogenetic relationship of CuPV-1 to other viruses in Picornavirales order
To determine the phylogenetic relationship of CuPV-1 in other members of the Picornavirales order, phylogenetic analysis was performed using the highly conserved RdRP region including I-VIII domains. The virus formed a clade with known members of iflaviruses, such as Hubei picorna-like virus 35 and Hubei picorna-like virus 34 (unclassified picorna-like viruses), Sacbrood virus (iflavirus) and Hubei arthropod virus 1 (HuAV-1) (Fig. 3). Other clades consisted of viruses that belonged to the families, such as Dicistroviridae, Picornaviridae, Secoviridae, Marnaviridae and newly proposed Polycipiviridae. This suggests that CuPV-1 belongs to the Iflaviridae viral family.
Detection of CuPV-1 in Culex and Mansonia mosquito pools
A total of 340 mosquitoes were collected in the Zambezi Valley, a central region of Mozambique. The specimens included mosquitoes of two species, Culex (159) and Mansonia (181), in 23 pools (13 Culex and 10 Mansonia). These mosquito pools were screened with RT-PCR, using primers designed for the selected CuPV-1 RdRP region. Seven pools were positive for CuPV-1, 5 from Culex and 2 from Mansonia. Each pool included 1–20 individuals and included both male and female mosquitoes (Table 4). The overall minimal infection rate (MIR), which was expressed as the number of positive pools per 1000 mosquitoes, was 0.20 (7/340), while the specific MIR for Culex was 0.31 (5/159) and for Mansonia was 0.11 (2/181). The Sanger sequencing of the positive PCR products showed that pools 9, 12, and 13 were identical to CuPV-1, however, Culex pools 3 and 5 showed minor sequence variation compared to both CuPV-1 (97% identity) and each other (97% identity).
Table 4.
Pool no. | Mosquito spp. | No. of mosquitoes | Positive/Negative |
---|---|---|---|
1 | Culex | 1 | Negative |
2 | Culex | 9 | Negative |
3 | Culex | 18 | Positive |
4 | Culex | 9 | Negative |
5 | Culex | 20 | Positive |
6 | Culex | 20 | Negative |
7 | Culex | 20 | Negative |
8 | Culex | 4 | Negative |
9 | Culex | 1 | Positive |
10 | Culex | 13 | Negative |
11 | Culex | 20 | Negative |
12 | Culex | 20 | Positive |
13 | Culex | 4 | Positive |
14 | Mansonia | 20 | Negative |
15 | Mansonia | 20 | Negative |
16 | Mansonia | 20 | Negative |
17 | Mansonia | 12 | Positive |
18 | Mansonia | 20 | Negative |
19 | Mansonia | 20 | Negative |
20 | Mansonia | 20 | Negative |
21 | Mansonia | 20 | Negative |
22 | Mansonia | 16 | Negative |
23 | Mansonia | 13 | Positive |
Mapping of Culex metagenomic reads to CuPV-1 genome
The Culex metagenomic dataset, after the quality check, was mapped to the CuPV-1 genome using Bowtie2 to estimate the read coverage in the original data set. Among the 1,684,319 reads in the dataset, 80,636 reads (4.83% of total reads) were aligned throughout the genome with a coverage range of 9–9784 (Fig. 1), with a lower coverage towards the ends of the genome.
Discussion
With the advances in high-throughput sequencing technologies, the number of novel viruses detected and genetically characterized has rapidly increased. Here, we report a novel and highly divergent virus sequence named Culex picorna-like virus 1 that was characterized from the Culex spp. mosquitoes by viral metagenomics and Sanger sequencing. The monopartite, monocistronic, near full-length single-stranded RNA genome (9.7 kb) was obtained. The genome encodes as single ORF coding for a 3112-amino acid polyprotein. RACE analysis was used; however, a partial 5′ UTR was obtained, which may be due to the presence of complex secondary structures of RNA, the IRES sequence and genome-linked viral proteins that interfere with cloning and sequencing [10, 22].
Multiple sequence alignments of the CuPV-1 ORF with other Picornavirales ORFs revealed that CuPV-1 possesses three functional motifs of helicase, protease and RNA-dependent RNA polymerases that are conserved in all members of the order Picornavirales. These motifs were located at the 5′ end, as observed in other picorna-like viruses [23, 24]. The non-structural protein sequences located at the 3′ end have also been found in other picorna-like viruses [24, 25]. These are involved in different functions, such as the unwinding of nucleic acids, polyprotein processing and the replication of viral genome [26, 27]. The equivalent conserved motifs for 1C and 1D were observed at the 5′ end of the ORF and showed similarities with iflavirus genome organization, suggesting that the CuPV-1 may belong to the Iflaviridae viral family. However, the cleavage sites of the structural and non-structural proteins of CuPV-1 need to be confirmed.
Phylogenetic analysis showed that the CuPV-1 clustered with the members of iflaviruses, further suggesting that CuPV-1 is a novel member of the Iflaviridae family. CuPV-1 showed closest evolutionary relationship to the unclassified picorna-like viruses Hubei picorna-like virus 35 and 34 as well as to Sacbrood virus (SBV) and HuAV-1. These viruses have all been identified in different species, Odonata, Coleoptera, honey bee and from an arthropod mix respectively, suggesting that the evolutionary relationship of different iflaviruses is not always connected to the host. This have also been seen for other iflaviruses. Novel iflaviruses from a wide range of hosts may be required to understand the evolutionary relationships of the family Iflaviridae. Mosquito pools that were positive for CuPV-1 in the current study suggested that CuPV-1 can infect both Culex and Mansonia mosquito species with varying infection rates. The sequence variation between the mosquito pools also indicate the presence of different CuPV-1 variants in nature. Widespread screening of mosquito species in different areas may reveal the prevalence and host range of CuPV-1.
Picorna-like viruses have been identified in a broad range of insects from the class Insecta. These insect viruses were classified by their genome organization, and most of them are assigned to Iflaviridae and Dicistroviridae in the order Picornavirales. By the recent metagenomic analyses, several viruses related to this order were also identified in the class Mammalia [28–30]. Insect picorna-like viruses are maintained in the nature by horizontal or vertical transmissions. For example, DWV can transmit from the queen honey bee to the offspring by vertical transmission and from Varroa mites to bees by horizontal transmission [3, 31]. Both, transovarial and horizontal transmissions have also been observed in SBV and Helicoverpa armigera iflavirus [12, 32]. A few of these viruses are pathogenic to the insect host and are also economically important, such as the infectious flacherivirus of silkworm, acute bee paralysis virus and the SBV of honeybees. However, the host range and pathogenicity of CuPV-1 needs to be further investigated. Previously, picorna-like virus (Armigeres iflavirus) has been isolated from asymptomatic Armigeres spp. mosquitoes [15], and, in a different study, dicistroviruses were found and believed to be members of the natural virome of Anopheles spp. mosquitoes [16].
Conclusions
In the current study, the near full-length genome of a novel picorna-like virus, CuPV-1, was characterized from Culex spp. mosquitoes from Mozambique. The genome organization and phylogenetic analysis indicated that CuPV-1 is a novel member in the order Picornavirales, most likely belonging to the Iflaviridae family, and exhibit great divergence from currently known genera. The discovery and characterization of novel viruses in mosquitoes is an initial step that will facilitate studies on mosquito-virus interactions and pathogenesis.
Additional files
Acknowledgements
The authors would like to acknowledge the support of the National Genomics Infrastructure (NGI) / Uppsala Genome Center and UPPMAX for providing assistance in massive parallel sequencing and computational infrastructure. Work performed at the NGI / Uppsala Genome Center has been funded by RFI / VR and Science for Life Laboratory in Sweden. The authors also thank SLU Global Bioinformatics Centre at the Swedish University of Agricultural Sciences in Uppsala for providing the computational time for data analysis. The authors would also like to thank the Swedish Research council VR (grant number: SWE-2012-138 and SWE-2016-01251) and FORMAS (grant number: 2012-586) for the financial support to conduct this study. The funder had no role in study design, data collection and analysis, or the decision to publish or reprint the manuscript.
Funding
The study was funded by the Swedish Research council VR (grant number: SWE-2012-138 and SWE-2016-01251) and FORMAS (grant number: 2012–586). The funder had no role in study design, data collection and analysis, or the decision to publish or reprint of the manuscript.
Availability of data and materials
The metagenomic dataset used in the analysis during the current study is available in the NCBI Sequence read archive (SRA)(http://www.ncbi.nlm.nih.gov/sra) under the accession number PRJNA325205. The CuPV-1 nucleotide sequence was deposited in GenBank under the accession number: MG833031.
Abbreviations
- BLAST
Basic local alignment search tool
- CuPV-1
Culex picorna-like virus 1
- HTS
High-throughput sequencing
- MIR
Minimal infection rate
- ORF
Open reading frame
- RACE
Rapid amplification of cDNA ends
- RdRP
RNA-dependent RNA polymerase
- SISPA
Sequence independent single primer amplification
Authors’ contributions
ALB, MB and JMF participated in the study conception, design and supervision. HC and JMF conducted the sampling of the mosquitoes. HC, JH, ALB, and MB analyzed the sequencing data. HC conducted the full genome sequencing and analysis and drafted manuscript. ALB, MB, JH and JMF reviewed and edited the manuscript. ALB, MB, JH and JMF provided resources for the project. All the authors read and approved the final manuscript.
Ethics approval and consent to participate
Not applicable.
Consent for publication
Not applicable.
Competing interests
The authors have declared no competing interests.
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Footnotes
Electronic supplementary material
The online version of this article (10.1186/s12985-018-0981-z) contains supplementary material, which is available to authorized users.
Contributor Information
Harindranath Cholleti, Email: harindranath.cholleti@slu.se.
Juliette Hayer, Email: juliette.hayer@slu.se.
Jose Fafetine, Email: jfafetine@yahoo.com.
Mikael Berg, Email: mikael.berg@slu.se.
Anne-Lie Blomström, Email: anne-lie.blomstrom@slu.se.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The metagenomic dataset used in the analysis during the current study is available in the NCBI Sequence read archive (SRA)(http://www.ncbi.nlm.nih.gov/sra) under the accession number PRJNA325205. The CuPV-1 nucleotide sequence was deposited in GenBank under the accession number: MG833031.