Abstract
Bataï virus (BATV), belonging to the Orthobunyavirus genus, is an emerging mosquito-borne virus with documented cases in Asia, Europe, and Africa. It causes various symptoms in humans and ruminants. Another related virus is Ilesha virus (ILEV), which causes a range of diseases in humans and is mainly found in African countries. This study aimed to genetically identify and characterize a BATV strain previously misclassified as ILEV in Senegal. The strain was reactivated and subjected to whole genome sequencing using an Illumina-based approach. Genetic analyses and phylogeny were performed to assess the evolutionary relationships. Genomic analyses revealed a close similarity between the Senegal strain and the BATV strains UgMP-6830 from Uganda. The genetic distances indicated high homology. Phylogenetic analysis confirmed the Senegal strain’s clustering with BATV. This study corrects the misclassification, confirming the presence of BATV in West Africa. This research represents the first evidence of BATV circulation in West Africa, underscoring the importance of genomic approaches in virus classification. Retrospective sequencing is crucial for reevaluating strains and identifying potential public health threats among neglected viruses.
Keywords: Bataï virus, Orthobunyavirus, Africa, Senegal, genome sequencing
1. Introduction
Bataï virus (BATV) is an emerging mosquito-borne virus that belongs to the genus Orthobunyavirus and the family Peribunyaviridae [1]. The virus was firstly isolated from Culex mosquitoes in Malaysia in 1955 [2] and since then has been detected in various regions of Asia and Europe, where it was also known as Calovo virus [3]. In Africa, one strain was isolated in 1967 in Uganda [4,5]. BATV has been found in several mosquito species and can infect humans and ruminants, causing fever, headache, joint pain, and neurological symptoms in the former [4,6].
The BATV genome consists of a tri-segmented, negative-sense, single-stranded RNA typical for Bunyaviruses. The S segment encodes the nucleocapsid (N) and the non-structural (NSs) proteins, the M segment encodes the virion surface glycoproteins (Gn, Gc) and non-structural proteins (NSm), and the L segment encodes for the replicase/transcriptase L protein [7].
Ilesha virus (ILEV) is another mosquito-borne virus belonging to the genus Orthobunyavirus [8]. ILEV was first isolated in 1961 from a 9-year-old girl who presented with fever and rash in Ilesha, a town in Western Nigeria [9]. Since then, it has been detected in several African countries and was detected in Anopheles gambiae [10,11]. ILEV can cause mild to severe disease in humans, ranging from febrile illness with exanthema to meningoencephalitis and hemorrhagic fever [11,12].
Here, we report on the genomic identification and characterization of a BATV strain in Senegal, previously classified as ILEV, using classical virological methods.
2. Materials and Methods
2.1. The Virus
This work was carried out as part of the characterization of Peribunyaviridae strains from the biobank of the WHO Collaborating Center for arboviruses and hemorrhagic fever viruses in the Institut Pasteur de Dakar (IPD). ArD 9870, a ILEV strain obtained from a mosquito, Cellia gambiae s. I., collected on 9 October 1969 in Bandia, Senegal, and subsequently isolated on 17 June 1970 before storage in a freeze-dried form in the IPD biobank, was reactivated with 500 μL of 0.2% Bovine Serum Albumin (BSA) in PBS (1×).
2.2. Sequencing
First, RNA extraction was performed using the QIAamp viral RNA mini-kit (Qiagen, Hilden, Germany) following the manufacturer’s recommendations. Whole genome sequencing (WGS) was undertaken using a Illumina-based unbiased approach as previously described [13]. Briefly, a first step of host ribosomal RNA enzymatic depletion was carried out using specific probes and Oligo-dT as well as RNase H (New England Biolabs, Hitchin, UK). Depleted RNA was used as a template for first-stranded cDNA synthesis using the SuperScript IV Reverse Transcriptase kit (Invitrogen, Thermo Fisher, Waltham, MA, USA), followed by double-stranded cDNA synthesis with the Klenow exo-DNA polymerase (NEB, Hitchin, UK). Sequencing libraries were produced using the Nextera XT DNA Library Preparation kit (Illumina, San Diego, CA, USA) following the manufacturer’s recommendations. Genome assembly was carried out using the open-source metagenomics CZ-ID platform (http://czid.org, accessed on 15 March 2023) [14], with the defaults threshold filters applied for the reads of Quality Check, base-calling, and consensus generation. The sequencing metrics are summarized in Table 1.
Table 1.
Segment L | Segment M | Segment S | |
---|---|---|---|
Mapped Reads | 23,210 | 17,746 | 1667 |
GC Content | 33.9% | 36.4% | 40.6% |
SNPs | 241 | 148 | 14 |
%id | 96.5% | 96.6% | 98.5% |
Informative Nucleotides | 6870 | 4338 | 927 |
% Genome Called | 100% | 98.5% | 98.1% |
Missing Bases | 0 | 63 | 16 |
Ambiguous Bases | 0 | 0 | 0 |
Reference length | 6870 | 4404 | 945 |
Coverage Depth | 403.9× | 477.5× | 191.7× |
Coverage Breadth | 100% | 99.9% | 100% |
Reference Sequence | JX846603.1-Bataï virus strain UgMP-6830 segment L, complete sequence | DQ436460.1-Bataï virus strain UgMP-6830 segment M polyprotein gene, complete cds | JX846601.1-Bataï virus strain UgMP-6830 segment S, complete sequence |
2.3. Genetics Analyses and Phylogeny
The genomic segments (S, M, and L) were subjected to BLAST analysis against the GenBank database to identify the closest matching sequences. Furthermore, genetic distances were calculated using Mega software v10.1.8 [15] to evaluate the evolutionary relationships between the study strains and related sequences.
Phylogenetic analysis was carried out to elucidate the evolutionary relationships and clade formations. The sequences were aligned and curated using Bioedit version 7.2.6 [16]. Maximum Likelihood (ML) phylogenetic trees were constructed using Iqtree version 1.6.12 [17]. The robustness of tree topology was accessed with 1000 replicates and bootstrap values greater than 70% are shown on the branches of the consensus trees. The resulting trees were visualized using Figtree version 1.4.4 [18].
3. Results
3.1. Blast
BLAST analysis was performed on the genome of each segment obtained; closer nucleotide identities (98.28%, 96.59%, and 96.49% for the S, M, and L segments, respectively) were observed with the bataï strain UgMP-6830. However, the M segment grouped with the Ngari virus (NGAV) (strain Dakar D28542/4e (98.68% identity)).
3.2. Genetic Distance
The genetic distance between Ar D 9870 and the strain UgMP-6830 was evaluated, as well as some BATV, NGAV, and Bunyamwera (BUNV) strains. The sequences added were downloaded from Genbank (Supplementary Table S1), except for the “ArB218 Central African Republic 1968”, “ArMsam263 Kenya 1963”, “ArN31 Kenya 1974”, “ArY380 Cameroon 1971” and “ArYM52 Cameroon 1966” strains, which came from the IPD data bank. The analysis (Table 2) shows that, for all the M and L segments, the difference in the level of amino acids between the strain ArD 9870 from Senegal and strain UgMP-6830 was very low and even indicated a 100% homology for the S segment. It was, however, noted that, while the S and L segments of strain ArD 98 are more closely related to BATV, the M segment is more closely related to NGAV.
Table 2.
AR D 9870 | Bataï | UgMP-6830 | Bunv | Ngari | |
---|---|---|---|---|---|
S segment | |||||
AR D 9870 | 1.375 | 0.000 | 3.887 | 3.797 | |
BATAÏ | 3.167 | 1.375 | 3.833 | 3.759 | |
UGMP-6830 | 0.000 | 3.167 | 3.887 | 3.797 | |
BUNV | 16.909 | 17.348 | 16.909 | 0.599 | |
NGARI | 16.267 | 16.767 | 16.267 | 1.170 | |
M segment | |||||
AR D 9870 | 8.539 | 5.073 | 16.775 | 4.313 | |
BATAÏ | 125.667 | 8.151 | 16.128 | 8.384 | |
UGMP-6830 | 25.000 | 117.667 | 16.734 | 5.471 | |
BUNV | 484.909 | 486.159 | 485.273 | 16.751 | |
NGARI | 30.733 | 131.533 | 42.467 | 492.103 | |
L segment | |||||
AR D 9870 | 11.491 | 7.586 | 20.035 | 20.040 | |
BATAÏ | 221.000 | 11.907 | 19.265 | 19.324 | |
UGMP-6830 | 59.000 | 233.250 | 19.934 | 19.856 | |
BUNV | 609.636 | 611.689 | 610.727 | 6.607 | |
NGARI | 608.667 | 614.711 | 608.333 | 91.867 |
In addition, a genetic distance analysis was carried out between the BATV strains found in Africa, the strains found in Europe, and the strains found in Asia (Table 3). This shows that strains from Africa (AR D 9870 and UGMP-6830) were closer to the strains found in Asia.
Table 3.
Bataï_Africa | Bataï_Asia | Bataï_Europe | |
---|---|---|---|
S segment | |||
Bataï_Africa | 1.030 | 2.001 | |
Bataï_Asia | 1.250 | 2.285 | |
Bataï_Europe | 4.143 | 5.393 | |
M segment | |||
Bataï_Africa | 8.587 | 11.173 | |
Bataï_Asia | 103.375 | 10.986 | |
Bataï_Europe | 144.214 | 148.679 | |
L segment | |||
Bataï_Africa | 11.046 | 14.762 | |
Bataï_Asia | 173.750 | 14.726 | |
Bataï_Europe | 275.571 | 290.536 |
3.3. Phylogeny
A phylogenic analysis was performed using the same dataset for genetic distance analysis with the addition of ILEV sequences downloaded from Genbank.
A total of 43 sequences were used for the phylogenic analysis of the S, M, and L segments. A sequence of Kairi virus was used as an outgroup (Supplementary Table S1). All three phylogenetic trees had four distinct clades, BUNV, BATV, ILEV, and NGAV. The strain Ar D 9870 clustered with BATV sequences for the S and L segments (Figure 1 and Figure 3), and with NGAV for the M segment (Figure 2).
4. Discussion
This work was carried out as part of the characterization of Peribunyaviridae strains from the biobank of the WHO Collaborating Center for arboviruses and hemorrhagic fever viruses in the Institut Pasteur de Dakar (IPD).
The blast analysis suggested that the Ar D 9870 strain was closer to the UgMP-6830 strain, a BATV strain isolated in Uganda in 1967 [5]. This result was confirm by the genetic distance analysis showing a very low difference at the level of amino acid and even a 100% homology with the S segment; this result is confirmed by Briese et al. [5]. However, the results show a close relation between the M segment of Ngari and the Ar D 9870 strain. That suggests a reassortment between Bataï and Ngari which results in the formation of new strains. This result was also found by Briese et al. [5] when they analyzed the UgMP-6830 strain, even if they classified it as Bataï. The M segment may play a major role in the virus cycle, affecting the interaction with the vector and also with the host [19,20]. Thus a reassortment might play a role in the virulence of the virus [21]. Genetic distance also shows a relation between African and Asian Strains and this same result was found by Mansfield et al. [6].
A phylogenic analyses was also performed during the study. As a member of the same serogroup, strains of BATV, NGAV, BUNV, and ILEV were used. The results confirmed the previous analysis [10] and suggested that Ar D 9870 and UgMP-6830 from Uganda could be contemporaneous BATV strains with simultaneous circulation in West and East Africa. This proves the important lack of information that has always existed regarding the real burden of the Bataï virus and highlights the necessity of further studying the seroprevalence among the population and prevalence among vectors.
5. Conclusions
To the best of our knowledge, this work describes the first report of BATV circulation in West Africa. Indeed, phenotypic-based virological characterization methods, such as the complement fixation test, have limitations regarding strains belonging to the same serogroup with no specific antibody reactions [16,17]. WGS allowed to reclassify a strain isolated in Senegal in 1969 as BATV, which was mistakenly identified as ILEV using the complement fixation test. Retrospective sequencing will be relevant for both BATV and ILEV strains, but also for other neglected viruses collected and previously classified using non-molecular taxonomic approaches in order to refine classification and enable the identification of potential pathogens of public health concern.
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/v16020261/s1, Table S1: Accession number of strains downloaded on Genbank.
Author Contributions
Conceptualization, I.D., M.M.D. and O.F. (Oumar Faye); methodology, C.T.T., S.S., I.D. and M.M.D.; software, C.T.T. and I.D.; validation, M.M.D. and O.F. (Oumar Faye); formal analysis, C.T.T., S.S., I.D., M.M., M.N., M.K., M.D. and M.M.D.; resources, O.F. (Ousmane Faye), A.A.S., M.M.D. and O.F. (Oumar Faye); data curation, I.D. and M.M.D.; writing—original draft preparation, C.T.T. and S.S.; writing—review and editing, I.D., M.M.D. and O.F. (Oumar Faye); visualization, C.T.T. and I.D.; supervision, I.D., M.M.D. and O.F. (Oumar Faye); project administration, M.M.D. and O.F. (Oumar Faye); funding acquisition, A.A.S., M.M.D. and O.F. (Oumar Faye). All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Data are contained within the article and Supplementary Materials.
Conflicts of Interest
The authors declare no conflict of interest.
Funding Statement
This research was funded by the Africa Pathogen Genomics Initiative (CARES grant 4306-22-EIPHLSS-GENOMICS), the talent award fund obtained by Oumar Faye.
Footnotes
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.
References
- 1.Hughes H.R., Adkins S., Alkhovskiy S., Beer M., Blair C., Calisher C.H., Drebot M., Lambert A.J., de Souza W.M., Marklewitz M., et al. ICTV Virus Taxonomy Profile: Peribunyaviridae. J. Gen. Virol. 2020;101:1–2. doi: 10.1099/jgv.0.001365. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Hubálek Z. Mosquito-Borne Viruses in Europe. Parasitol. Res. 2008;103:29–43. doi: 10.1007/s00436-008-1064-7. [DOI] [PubMed] [Google Scholar]
- 3.Dilcher M., Sall A.A., Hufert F.T., Weidmann M. Clarifying Bunyamwera Virus Riddles of the Past. Virus Genes. 2013;47:160–163. doi: 10.1007/s11262-013-0918-y. [DOI] [PubMed] [Google Scholar]
- 4.Dutuze M.F., Nzayirambaho M., Mores C.N., Christofferson R.C. A Review of Bunyamwera, Batai, and Ngari Viruses: Understudied Orthobunyaviruses With Potential One Health Implications. Front. Vet. Sci. 2018;5:69. doi: 10.3389/fvets.2018.00069. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Briese T., Bird B., Kapoor V., Nichol S.T., Lipkin W.I. Batai and Ngari Viruses: M Segment Reassortment and Association with Severe Febrile Disease Outbreaks in East Africa. J. Virol. 2006;80:5627–5630. doi: 10.1128/JVI.02448-05. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.Mansfield K.L., Folly A.J., Hernández-Triana L.M., Sewgobind S., Johnson N. Batai Orthobunyavirus: An Emerging Mosquito-Borne Virus in Europe. Viruses. 2022;14:1868. doi: 10.3390/v14091868. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Elliott R.M. Orthobunyaviruses: Recent Genetic and Structural Insights. Nat. Rev. Microbiol. 2014;12:673–685. doi: 10.1038/nrmicro3332. [DOI] [PubMed] [Google Scholar]
- 8.Current ICTV Taxonomy Release|ICTV. [(accessed on 26 April 2023)]. Available online: https://ictv.global/taxonomy.
- 9.Contigiani M.S., Diaz L.A., Tauro L.B. Bunyaviruses. In: Marcondes C.B., editor. Arthropod Borne Diseases. Springer International Publishing; New York City, NY, USA: 2017. pp. 137–154. [Google Scholar]
- 10.Pachler K., Růžek D., Nowotny N. Molecular Characterization of the African Orthobunyavirus Ilesha Virus. Infect. Genet. Evol. 2013;20:124–130. doi: 10.1016/j.meegid.2013.08.015. [DOI] [PubMed] [Google Scholar]
- 11.Morvan J.M., Digoutte J.P., Marsan P., Roux J.F. Ilesha Virus: A New Aetiological Agent of Haemorrhagic Fever in Madagascar. Trans. R. Soc. Trop. Med. Hyg. 1994;88:205. doi: 10.1016/0035-9203(94)90297-6. [DOI] [PubMed] [Google Scholar]
- 12.Murray P.R., Rosenthal K., Pfaller M.A. Medical Microbiology-ClinicalKey. 9th ed. Elsevier; Amsterdam, The Netherlands: 2020. [Google Scholar]
- 13.Bob N.S., Barry M.A., Diagne M.M., Faye M., Ndione M.H.D., Diallo A., Diop M., Diop B., Faye O., Loucoubar C., et al. Detection of Rift Valley Fever Virus Lineage H From South Africa Through the Syndromic Sentinel Surveillance Network in Senegal. Open Forum Infect. Dis. 2022;9:ofab655. doi: 10.1093/ofid/ofab655. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Kalantar K.L., Carvalho T., de Bourcy C.F.A., Dimitrov B., Dingle G., Egger R., Han J., Holmes O.B., Juan Y.-F., King R., et al. IDseq-An Open Source Cloud-Based Pipeline and Analysis Service for Metagenomic Pathogen Detection and Monitoring. Gigascience. 2020;9:giaa111. doi: 10.1093/gigascience/giaa111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Kumar S., Stecher G., Li M., Knyaz C., Tamura K. MEGA X: Molecular Evolutionary Genetics Analysis across Computing Platforms. Mol. Biol. Evol. 2018;35:1547–1549. doi: 10.1093/molbev/msy096. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hall T.A. BioEdit: A User-Friendly Biological Sequence Alignment Editor and Analysis Program for Windows 95/98/NT. Nucleic Acids Symp. Ser. 1999;41:95–98. [Google Scholar]
- 17.Nguyen L.-T., Schmidt H.A., von Haeseler A., Minh B.Q. IQ-TREE: A Fast and Effective Stochastic Algorithm for Estimating Maximum-Likelihood Phylogenies. Mol. Biol. Evol. 2015;32:268–274. doi: 10.1093/molbev/msu300. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Rambaut V. Rambaut’s Full-Sized Avatar A. FigTree 2018. [(accessed on 18 October 2023)]. Available online: http://tree.bio.ed.ac.uk/software/figtree/
- 19.Ishihara Y., Shioda C., Bangphoomi N., Sugiura K., Saeki K., Tsuda S., Iwanaga T., Takenaka-Uema A., Kato K., Murakami S., et al. Akabane Virus Nonstructural Protein NSm Regulates Viral Growth and Pathogenicity in a Mouse Model. J. Vet. Med. Sci. 2016;78:1391–1397. doi: 10.1292/jvms.16-0140. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Horne K.M., Vanlandingham D.L. Bunyavirus-Vector Interactions. Viruses. 2014;6:4373–4397. doi: 10.3390/v6114373. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Gerrard S.R., Li L., Barrett A.D., Nichol S.T. Ngari Virus Is a Bunyamwera Virus Reassortant That Can Be Associated with Large Outbreaks of Hemorrhagic Fever in Africa. J. Virol. 2004;78:8922–8926. doi: 10.1128/JVI.78.16.8922-8926.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
Data are contained within the article and Supplementary Materials.