Hostname: page-component-7c8c6479df-7qhmt Total loading time: 0 Render date: 2024-03-28T19:26:50.261Z Has data issue: false hasContentIssue false

Phylogenetic analysis of Bunyamwera and Ngari viruses (family Bunyaviridae, genus Orthobunyavirus) isolated in Kenya

Published online by Cambridge University Press:  29 June 2015

C. ODHIAMBO*
Affiliation:
Human Health Division, International Centre of Insect Physiology and Ecology, Nairobi, Kenya Zoonoses Research Unit, Department of Medical Virology, University of Pretoria, Pretoria, South Africa Centre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya
M. VENTER
Affiliation:
Zoonoses Research Unit, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
O. LWANDE
Affiliation:
Human Health Division, International Centre of Insect Physiology and Ecology, Nairobi, Kenya
R. SWANEPOEL
Affiliation:
Zoonoses Research Unit, Department of Medical Virology, University of Pretoria, Pretoria, South Africa
R. SANG
Affiliation:
Human Health Division, International Centre of Insect Physiology and Ecology, Nairobi, Kenya Centre for Virus Research, Kenya Medical Research Institute, Nairobi, Kenya Division of Emerging Infectious Disease, United States Army Medical Research Unit, Kenya
*
*Author for correspondence: Dr C. Odhiambo, Human Health Division, International Centre of Insect Physiology and Ecology, PO Box 1578, Kisumu 40100, Kenya . (Email: coodhiambo@kemricdc.org)
Rights & Permissions [Opens in a new window]

Summary

Orthobunyaviruses, tri-segmented, negative-sense RNA viruses, have long been associated with mild to severe human disease in Africa, but not haemorrhagic fever. However, during a Rift Valley fever outbreak in East Africa in 1997–1998, Ngari virus was isolated from two patients and antibody detected in several others with haemorrhagic fever. The isolates were used to identify Ngari virus as a natural Orthobunyavirus reassortant. Despite their potential to reassort and cause severe human disease, characterization of orthobunyaviruses is hampered by paucity of genetic sequences. Our objective was to obtain complete gene sequences of two Bunyamwera virus and three Ngari virus isolates from recent surveys in Kenya and to determine their phylogenetic positioning within the Bunyamwera serogroup. Newly sequenced Kenyan Bunyamwera virus isolates clustered closest to a Bunyamwera virus isolate from the same locality and a Central African Republic isolate indicating that similar strains may be circulating regionally. Recent Kenyan Ngari isolates were closest to the Ngari isolates associated with the 1997–1998 haemorrhagic fever outbreak. We observed a temporal/geographical relationship among Ngari isolates in all three gene segments suggesting a geographical/temporal association with genetic diversity. These sequences in addition to earlier sequences can be used for future analyses of this neglected but potentially deadly group of viruses.

Type
Original Papers
Copyright
Copyright © Cambridge University Press 2015 

INTRODUCTION

The Bunyaviridae family is divided into five genera; Orthobunyavirus, Phlebovirus, Nairovirus, Hantavirus and Tospovirus [Reference Calisher1]. The largest genus, Orthobunyavirus, is composed of over 150 viruses that infect humans and are transmitted by mosquitoes, midges and ticks from reservoir animals like rodents and livestock. Members of Orthobunyavirus are tri-segmented, negative-sense RNA viruses responsible for mild to severe human and animal diseases. The L (large) segment encodes a large protein that consists of the RNA-dependent RNA polymerase activity for replication and transcription of genomic RNA segments. The M (medium) segment encodes a precursor polypeptide which yields the virion surface glycoproteins Gn and Gc and a non-structural protein NSm, and the S (small) segment encodes the nucleocapsid (NC) and a non-structural protein (NSs) in overlapping reading frames [Reference Soldan and Gonzalez-Scarano2]. Bunyamwera virus is the prototype virus of the Orthobunyavirus genus as well as the Bunyaviridae family of arboviruses. Bunyamwera virus is associated with febrile illness, headache, arthralgia, rash and infrequent central nervous system involvement [Reference Gonzalez, Georges and Monath3]. Viruses of the Orthobunyavirus genus were generally not associated with haemorrhagic symptoms until Ngari virus was implicated in haemorrhagic fever outbreaks in Kenya and Somalia, and retrospectively in Sudan [Reference Bowen4Reference Gerrard6]. Ngari virus was determined to be a reassortment between two segmented viruses (Bunyamwera and Batai) co-circulating within the same environment. Subsequent analysis of isolated sequences from outbreak samples showed that the L and S segment sequences closely matched those of Bunyamwera virus while the M segment was identical to that of Batai virus [Reference Briese5].

Surveillance activities during Rift Valley fever outbreaks have demonstrated co-circulation of arboviruses including Bunyamwera virus [Reference Crabtree7]. Additionally, ongoing inter-epidemic surveillance activities have indicated continued intense transmission of Bunyamwera virus [Reference Lutomiah8]. Co-circulation of viruses within the same serogroup is likely to provide opportunities for genetic reassortments. Efforts to bring these infections under control and predict their emergence will not be successful unless there is a full understanding of how these viruses are maintained and transmitted within the environment. However, characterization of these emergent arboviral species has been hampered by paucity of genetic sequences making it impossible to accurately estimate their evolutionary trend and public health burden. We have recently isolated Bunyamwera and Ngari viruses from surveillance exercises in Kenya and identified them based on short diagnostic sequences [Reference Lutomiah8, Reference Ochieng9]. Our main objective was to provide complete coding sequence of some of these isolates as well as to investigate their phylogenetic positioning within the Bunyamwera serogroup, based on partial and complete genome sequences of similar virus strains and other selected orthobunyaviruses.

METHODS

Bunyamwera and Ngari virus isolates (Table 1) obtained from previous surveillance exercises in northern Kenya were inoculated into flasks containing confluent Vero cells and observed daily for cytopathic effects (CPE). Viruses were harvested when more than 75% of cells showed CPE. The supernatants were aliquoted into cryotubes and stored at −70 °C, until use.

Table 1. Bunyamwera and Ngari virus isolates from Kenya sequenced in the study

For RNA extraction, the MagNA Pure LC RNA isolation kit I (Roche Applied Science, USA) was used. cDNA was synthesized using the Transcriptor first-strand cDNA synthesis kit (Roche Applied Science) with random hexamers followed by PCR using Phusion high-fidelity PCR kit (Finnzyme Ltd, Finland) and appropriate primers. Overlapping primers (Supplementary Table S1) for each segment were either designed based on sequences of Bunyamwera, Batai and Ngari viruses available in GenBank or obtained from previous publications [Reference Jost10, Reference Yanase11]. Amplified DNA fragments were visualized by electrophoresis on a 1·5% agarose gel. Amplified DNA fragments were purified and prepared for sequencing using ExoSAP-IT PCR clean-up kit (USB Corp., USA) according to manufacturer's instructions and stored at −20 °C.

Sequencing was performed using sets of overlapping primers for the S, M and L segments as designed previously (Supplementary Table S1) using the Big Dye v. 3·1 kit (Applied Biosystems, USA) and run on the 3500XL Genetic Analyzer (Applied Biosystems). The sequences obtained were cleaned and edited using Bioedit software (USA) for both reads from the forward and reverse primers. Sequences obtained were subjected to Basic Local Alignment Search Tool (BLAST) searches in NCBI GenBank (http://www.ncbi.nlm.nih.gov/blast/Blast) to identify similar sequences. The clean sequences of each segment were aligned against a selection of corresponding segment sequences of Bunyamwera serogroup viruses, including Bunyamwera, Batai and Ngari viruses, using the multiple alignment fast Fourier transform (MAFFT) sequence alignment program [Reference Standley12]. Phylogenetic trees were constructed using maximum likelihood algorithm and analysed with 1000 replicates for bootstrap testing in Molecular Evolutionary Genetics Analysis (MEGA) v. 5·20 software [Reference Tamura13]. La Crosse virus of the California serogroup was used as the out-group for phylogenetic analyses of all three segments of Bunyamwera and Ngari viruses. Nucleotide and amino acid similarities and genetic distances between the Kenyan isolates and selected isolates from diverse regions were computed in MEGA v. 5·20 using the p-distance method [Reference Tamura13].

RESULTS AND DISCUSSION

The complete S, M and L segment coding regions (704, 4302 and 6717 nt, respectively) were sequenced for all five isolates. For this analysis, we excluded the 3′ and 5′ non-coding regions. The gene sequences determined in this study are deposited in GenBank under the following accession numbers (S segment, M segment, L segment):

KM507344, KM507340 and KM507338 (BUNV_MGD_S1_12060_WT);

KM507345, KM507339 and KM507337 (BUNV_GSA_S4_11232_WT);

KM507343, KM514679 and KM507335 (NRIV_TND_S1_19801_WT);

KM507341, KM514677 and KM507336 (NRIV_GSA_TS7_5170_WT);

KM507342, KM514678 and KM507334 (NRIV_ISL_TS2_5242_WT).

Phylogenetic analyses reveal that within all three genomic segments, Bunyamwera virus isolates sequenced in the current study clustered together with an isolate in GenBank from the same locality (BUNV_AMH001130) with strong bootstrap support. The newly sequenced Kenyan Bunyamwera virus isolates possess high nucleotide sequence identities of over 99·0% (S), 99·4% (M) and 99·4% (L) compared to the previous Kenyan isolate (BUNV_AMH001130). Similarly, the newly sequenced Kenyan Bunyamwera virus isolates possess high percentage amino acid sequence identities of over 99·5% (N ORF), 99·0% (NSs ORF), 99·5% (M polyprotein ORF) and 98·8% (L protein ORF) compared to the previous Kenyan isolate. These results indicate that similar Bunyamwera virus strains may be circulating within Kenya and also regionally considering the close association with the 1994 Bunyamwera virus isolate from the Central African Republic (BUNV_ArB29051).

Similarly for Ngari virus, the newly sequenced Kenyan isolates, regardless of the genomic segment, clustered with other Ngari virus isolates (Fig. 1ac ). The newly sequenced Kenyan Ngari virus isolates were closer to Ngari virus isolates associated with the 1997–1998 haemorrhagic fever outbreak in East Africa (NRIV_9800535 and NRIV_9800521) with strong bootstrap support particularly in analyses of the M and L segments (Fig. 1b , c ). This observation suggests that the current Kenyan Ngari virus isolates may have been introduced into Kenya from the Kenya–Somali border. The newly sequenced Kenyan Ngari virus isolates also possess high nucleotide sequence identities of over 98·5% (S), 97·0% (M) and 97·3% (L) compared to other Ngari virus strains regardless of year and place of isolation. Similarly, the newly sequenced Kenyan Ngari virus strains possess high amino acid sequence identities of over 99·1% (N ORF), 100% (NSs ORF), 98·4% (M polyprotein ORF) and 99·1% (L protein) compared to other Ngari virus isolates. The complete sequence data for the three additional isolates of Ngari virus support previous findings that this virus is a reassortant [Reference Bowen4Reference Gerrard6].

Fig. 1. Phylogenies of the S, M and L segments of the genus Orthobunyavirus. According to a limited diversity of data that are available in GenBank, the maximum likelihood method was used to derive phylogenies from (a) the N gene nucleotide ORF (S segment, 702 nt), (b) M polyprotein ORF (M segment, 4302 nt) and (c) L polymerase protein ORF (L segment, 6717 nt) and ORFs of selected orthobunyaviruses. Phylogenies were rooted using the La Crosse virus sequence. Bootstrap values that were determined by 1000 replicates are shown. Scale bars represent the number of nucleotide substitutions per site. Sequences determined as a part of this study are indicated by a rectangle. All Orthobunyavirus abbreviations are used according to the International Committee on Taxonomy of Viruses (ICTV, 2005). BATV, Batai virus; BIRV, Birao virus; BOZOV, Bozo virus; BUNV, Bunyamwera virus; CVV, Cache Valley virus; CVOV, Calovo virus; FSV, Fort Sherman virus; GERV, Germiston virus; ILEV, Ilesha virus; KIRV, Kairi virus; LACV, La Crosse virus; NDOV, Nyando virus; NOLAV, Nola virus; NRIV, Ngari virus; PGAV, Pongola virus; POTV, Potosi virus; SHOV, Shokwe virus; TSV, Tensaw virus; WYOV, Wyomyia virus; XINV, Xingu virus. S segment accession numbers : BATV_Chittoor_IG_20217 (JX846598), BATV_MM2222 (JX846595), BATV_MS50 (JX846604), BATV_NM_12 (KJ187040), BATV_UgMP_6830 (JX846601), BATV_XQ_B (KJ398936), BIRV_ArB2198 (AM711131), BOZOV_ArB13529 (AM711132), BUNV_ArB29051 (AM709778), BUNV_NC001927, BUNV_AMH1130 (JF961342), CVOV_134 (KJ542624), CVOV_138_pool_468 (KC608157), CVOV_8020 (KJ542630), CVOV_8040 (KJ542633), CVOV_JAn_MS3 (KJ542627), CVV_MNZ_92011 (KC436108), FSV_86MSP18 (EU564829), GERV_BLCSA (M19420), ILEV_ILESHA_8e (KC608151), KRIV_Mex07 (EU879063), LACV_Dallas_TX_2009 (GU591164), NOLAV_ArB2882 (AM711134), NRIV_9800521 (JX857325), NRIV_9800535 (JX857328), NRIV_D28542_4e (KC608154), NRIV_DakArD28542 (JX857316), NRIV_HKV141 (JX857322), NRIV_HKV66 (JX857319), NRIV_Adrar (KJ716848), PGAV_SAAr1 (EU564828), POTV_AY729652_1 (AY729652), SHOV_SAAr_4042 (EU564831), TSV_TSV_FL06 (FJ943507), XINV_BeH388464_e (EU564830).

Fig. 1b. M segment accession numbers : BATV_ON_7_B_01 (AB257765), BATV_ON_1_E_94 (AB257764), BATV_NM_12 (KJ187039), BATV_XQ+B (KJ398937), BATV_UgMP_6830 (JX846602), BATV_Chittoor_IG_20217 (JX846599), BATV_MM2222 (JX846596), BATV_Italy_2009 (KC168047), BUNV_M11852 (M11852), BUNV_AMH001130 (JF961341), CHLV_CHLV_Mex07 (JN808310), CVV_MNZ_92011 (KC436107), CVV_AF082576 (AF082576), CVV_807270 (AF186243), CVOV_138_pool_468 (KC608156), CVOV_JAnMS3 (KJ542628),CVOV_134 (KJ542625), CVOV_184 (DQ334335), GROV_BeH22063 (AY380581), GERV_BLCMPOLY (M21951), IACOV_BeAn314206 (JN572066), ILEV_ILESHA_8e (KC608150), LACV_Human_78 (AF528166), MAGV_AY286443 (AY286443), NRIV_Dakar_D28542_4e (KC608153), NRIV_9800521 (JX857326), NRIV_9800535 (AY593725), NRIV_DakArD28542 (JX857317), NRIV_HKV141 (JX857323), NRIV_HKV66 (JX857320), POTV_89_3380 (EU004189), TSV_FE3_66FB (FJ943508), TSV_FL06 (FJ943506), NRIV_Adrar (KJ716849).

Fig. 1c. L segment accession numbers : BATV_NM_12 (KJ187038), BATV_UgMP_6830 (JX846603), CVOV_138-pool_468 (JX846600), BATV_MM2222 (JX846597), BATV_Italy_2009 (KC168048), BUNV_AMH001130 (F961340), BATV_MS50 (JX846606), BUNV_NC001925 (NC001925), CVOV_8040 (KJ542635), CVOV_8020 (KJ542632), CVOV_JAn_MS3 (KJ542629), CVOV_134 (KJ542626), TSV_FL06 (FJ943509), CVV_MNZ_92011 (KC436106), ILEV_ILESHA_8e (KC608149), ILEV_R5964 (KF234075), LACV_Human_78 (AF528165), NRIV_D28542_4e (KC608152), NRIV_9800521 (JX857327), NRIV_9800535 (JX857330), NRIV_DakArD28542 (JX857318), NRIV_HKV141 (JX857324), NRIV_HKV66 (JX857321), NRIV_Adrar (KJ716850).

Of additional interest, we observed temporal/geographical clustering of Ngari isolates in all three phylogenetic trees showing that isolates from the same region or outbreak year generally group together within their own strongly supported independent groupings (Fig. 1ac ). Our findings suggest a geographical/temporal association with genetic diversity between strains of Ngari virus. Similar observations have been made for Batai virus in which correlation between geographical and genetic diversity has been suggested [Reference Jost10, Reference Huhtamo14]. Batai virus isolates from Europe, Asia and Africa generally cluster independently within strongly supported groups with country-specific viruses clustering closest [Reference Huhtamo14]. However, a more in-depth analysis including identification of signature motifs that might be representative of a given geographical/temporal clade of these viruses is restricted by paucity of genetic sequences in GenBank. Furthermore, there is need for more studies on pathogenesis and distribution of these viruses. While public health efforts have focused on well-characterized viruses such as Rift Valley Fever, West Nile, chikungunya and dengue viruses, the emergence of orthobunyaviruses such as Ngari and Schmallenberg viruses as human and veterinary pathogens, respectively, emphasize the need for in-depth characterization and determination of their true public health impact. Additionally, as more sequences are continually generated, a more extensive survey with regard to sample size and geography is necessary to better understand the distribution of Ngari and Bunyamwera viruses.

SUPPLEMENTARY MATERIAL

For supplementary material accompanying this paper visit http://dx.doi.org/10.1017/S0950268815001338.

ACKNOWLEDGEMENTS

We acknowledge the technical assistance provided by Caroline Tigoi, David Tchouassi, Martin Mbaya and Felix Odhiambo all from the Martin Luscher Emerging Infectious Diseases Laboratory of the International Centre of Insect Physiology and Ecology. We also acknowledge the logistic support of Lillian Igweta, Lisa Omondi and Margaret Ochanda all of Capacity Building, ICIPE. The support through a scholarship to Collins Odhiambo by the Swedish International Development Cooperation Agency (SIDA) through the African Regional Postgraduate Programme in Insect Science (ARPPIS) is greatly acknowledged. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. This paper is published with the permission of the Director of the Kenya Medical Research Institute.

DECLARATION OF INTEREST

None.

References

REFERENCES

1. Calisher, CH. History, classification, taxonomy of viruses in the family Bunyaviridae. In: The Bunyaviridae, the Viruses. New York: Springer, 1996, pp. 117.Google Scholar
2. Soldan, SS, Gonzalez-Scarano, F. Emerging infectious diseases: the Bunyaviridae. Journal of NeuroVirology, 2005; 11: 412423.CrossRefGoogle ScholarPubMed
3. Gonzalez, JP, Georges, AJ. Bunyaviral fevers: Bunyamwera, Ilesha, Germiston, Bwamba and Tataguine. In: Monath, TP, ed. The Arboviruses: Epidemiology and Ecology. Boca Raton, Florida: CRC Press, 1988, pp. 8798.Google Scholar
4. Bowen, MD, et al. A reassortant bunyavirus isolated from acute hemorrhagic fever cases in Kenya and Somalia. Virology 2001; 291: 185190.CrossRefGoogle ScholarPubMed
5. Briese, T, et al. Batai and Ngari viruses: M segment reassortment and association with severe febrile disease outbreaks in East Africa. Journal of Virology 2006; 80: 56275630.CrossRefGoogle ScholarPubMed
6. Gerrard, S, et al. Ngari virus is a Bunyamwera virus reassortant that can be associated with large outbreaks of hemorrhagic fever in Africa. Journal of Virology 2004; 78: 89228926.CrossRefGoogle ScholarPubMed
7. Crabtree, M, et al. Arbovirus surveillance of mosquitoes collected at sites of active Rift Valley Fever virus transmission: Kenya, 2006–2007. Journal of Medical Entomology 2009; 46: 961964.CrossRefGoogle ScholarPubMed
8. Lutomiah, J, et al. Ticks and tick-borne viruses from livestock hosts in arid and semiarid regions of the eastern and northeastern parts of Kenya. Journal of Medical Entomology 2014; 51: 269277.CrossRefGoogle ScholarPubMed
9. Ochieng, C, et al. Mosquito-borne arbovirus surveillance at selected sites in diverse ecological zones of Kenya; 2007–2012. Virology Journal 2013; 10: 140.CrossRefGoogle Scholar
10. Jost, H, et al. Isolation and phylogenetic analysis of Batai virus, Germany. American Journal of Tropical Medicine and Hygiene 2011; 84: 241243.CrossRefGoogle ScholarPubMed
11. Yanase, T, et al. Genetic characterization of Batai virus indicates a genomic reassortment between orthobunyaviruses in nature. Archives of Virology 2006; 151: 22532260.CrossRefGoogle ScholarPubMed
12. Standley, K. MAFFT multiple sequence alignment software version 7: improvements in performance and usability. Molecular Biology and Evolution 2013; 30: 772780.Google Scholar
13. Tamura, K, et al. MEGA5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and 336 maximum parsimony methods. Molecular Biology and Evolution 2011; 28: 27312739.CrossRefGoogle Scholar
14. Huhtamo, E, et al. Isolation and full genomic characterization of Batai virus from mosquitoes, Italy 2009. Journal of General Virology 2013; 94: 12421248.CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Bunyamwera and Ngari virus isolates from Kenya sequenced in the study

Figure 1

Fig. 1. Phylogenies of the S, M and L segments of the genus Orthobunyavirus. According to a limited diversity of data that are available in GenBank, the maximum likelihood method was used to derive phylogenies from (a) the N gene nucleotide ORF (S segment, 702 nt), (b) M polyprotein ORF (M segment, 4302 nt) and (c) L polymerase protein ORF (L segment, 6717 nt) and ORFs of selected orthobunyaviruses. Phylogenies were rooted using the La Crosse virus sequence. Bootstrap values that were determined by 1000 replicates are shown. Scale bars represent the number of nucleotide substitutions per site. Sequences determined as a part of this study are indicated by a rectangle. All Orthobunyavirus abbreviations are used according to the International Committee on Taxonomy of Viruses (ICTV, 2005). BATV, Batai virus; BIRV, Birao virus; BOZOV, Bozo virus; BUNV, Bunyamwera virus; CVV, Cache Valley virus; CVOV, Calovo virus; FSV, Fort Sherman virus; GERV, Germiston virus; ILEV, Ilesha virus; KIRV, Kairi virus; LACV, La Crosse virus; NDOV, Nyando virus; NOLAV, Nola virus; NRIV, Ngari virus; PGAV, Pongola virus; POTV, Potosi virus; SHOV, Shokwe virus; TSV, Tensaw virus; WYOV, Wyomyia virus; XINV, Xingu virus. S segment accession numbers: BATV_Chittoor_IG_20217 (JX846598), BATV_MM2222 (JX846595), BATV_MS50 (JX846604), BATV_NM_12 (KJ187040), BATV_UgMP_6830 (JX846601), BATV_XQ_B (KJ398936), BIRV_ArB2198 (AM711131), BOZOV_ArB13529 (AM711132), BUNV_ArB29051 (AM709778), BUNV_NC001927, BUNV_AMH1130 (JF961342), CVOV_134 (KJ542624), CVOV_138_pool_468 (KC608157), CVOV_8020 (KJ542630), CVOV_8040 (KJ542633), CVOV_JAn_MS3 (KJ542627), CVV_MNZ_92011 (KC436108), FSV_86MSP18 (EU564829), GERV_BLCSA (M19420), ILEV_ILESHA_8e (KC608151), KRIV_Mex07 (EU879063), LACV_Dallas_TX_2009 (GU591164), NOLAV_ArB2882 (AM711134), NRIV_9800521 (JX857325), NRIV_9800535 (JX857328), NRIV_D28542_4e (KC608154), NRIV_DakArD28542 (JX857316), NRIV_HKV141 (JX857322), NRIV_HKV66 (JX857319), NRIV_Adrar (KJ716848), PGAV_SAAr1 (EU564828), POTV_AY729652_1 (AY729652), SHOV_SAAr_4042 (EU564831), TSV_TSV_FL06 (FJ943507), XINV_BeH388464_e (EU564830).

Figure 2

Fig. 1b. M segment accession numbers: BATV_ON_7_B_01 (AB257765), BATV_ON_1_E_94 (AB257764), BATV_NM_12 (KJ187039), BATV_XQ+B (KJ398937), BATV_UgMP_6830 (JX846602), BATV_Chittoor_IG_20217 (JX846599), BATV_MM2222 (JX846596), BATV_Italy_2009 (KC168047), BUNV_M11852 (M11852), BUNV_AMH001130 (JF961341), CHLV_CHLV_Mex07 (JN808310), CVV_MNZ_92011 (KC436107), CVV_AF082576 (AF082576), CVV_807270 (AF186243), CVOV_138_pool_468 (KC608156), CVOV_JAnMS3 (KJ542628),CVOV_134 (KJ542625), CVOV_184 (DQ334335), GROV_BeH22063 (AY380581), GERV_BLCMPOLY (M21951), IACOV_BeAn314206 (JN572066), ILEV_ILESHA_8e (KC608150), LACV_Human_78 (AF528166), MAGV_AY286443 (AY286443), NRIV_Dakar_D28542_4e (KC608153), NRIV_9800521 (JX857326), NRIV_9800535 (AY593725), NRIV_DakArD28542 (JX857317), NRIV_HKV141 (JX857323), NRIV_HKV66 (JX857320), POTV_89_3380 (EU004189), TSV_FE3_66FB (FJ943508), TSV_FL06 (FJ943506), NRIV_Adrar (KJ716849).

Figure 3

Fig. 1c. L segment accession numbers: BATV_NM_12 (KJ187038), BATV_UgMP_6830 (JX846603), CVOV_138-pool_468 (JX846600), BATV_MM2222 (JX846597), BATV_Italy_2009 (KC168048), BUNV_AMH001130 (F961340), BATV_MS50 (JX846606), BUNV_NC001925 (NC001925), CVOV_8040 (KJ542635), CVOV_8020 (KJ542632), CVOV_JAn_MS3 (KJ542629), CVOV_134 (KJ542626), TSV_FL06 (FJ943509), CVV_MNZ_92011 (KC436106), ILEV_ILESHA_8e (KC608149), ILEV_R5964 (KF234075), LACV_Human_78 (AF528165), NRIV_D28542_4e (KC608152), NRIV_9800521 (JX857327), NRIV_9800535 (JX857330), NRIV_DakArD28542 (JX857318), NRIV_HKV141 (JX857324), NRIV_HKV66 (JX857321), NRIV_Adrar (KJ716850).

Supplementary material: File

Odhiambo supplementary material

Table S1

Download Odhiambo supplementary material(File)
File 94.7 KB