Literature DB >> 34808093

Potential Mosquito Vectors for Shuni Virus, South Africa, 2014-2018.

Milehna Mara Guarido, Thopisang Motlou, Megan A Riddin, Caitlin MacIntyre, Sontaga Cris Manyana, Todd Johnson, Maarten Schrama, Erin E Gorsich, Basil D Brooke, A Paulo G Almeida, Marietjie Venter.   

Abstract

Shuni virus is associated with neurologic and febrile illness in animals and humans. To determine potential vectors, we collected mosquitoes in South Africa and detected the virus in species of the genera Mansonia, Culex, Aedes, and Anopheles. These mosquitoes may be associated with Shuni virus outbreaks in Africa and emergence in other regions.

Entities:  

Keywords:  Orthobunyavirus; Shuni virus; South Africa; disease vector; mosquitoes; vector-borne diseases; viruses

Mesh:

Year:  2021        PMID: 34808093      PMCID: PMC8632193          DOI: 10.3201/eid2712.203426

Source DB:  PubMed          Journal:  Emerg Infect Dis        ISSN: 1080-6040            Impact factor:   6.883


The genus Orthobunyavirus (family Peribunyaviridae) includes emerging arthropodborne viruses associated with human and animal disease worldwide (). In 1966, orthobunyavirus Shuni virus (SHUV) was isolated from a cow, Culicoides midges, and a febrile child in Nigeria (); SHUV recently emerged in Israel, where it has been associated with birth defects in ruminants (). SHUV has been associated with neurologic disease in horses and wildlife (,) and was recently implicated in human cases of neurologic disease in South Africa (). SHUV was detected in field-caught Culex theileri mosquitoes in the 1970s (), and Culicoides midges have been suggested as vectors (). We investigated mosquitoes collected in northeastern parts of South Africa to identify their potential as vectors of orthobunyaviruses in the Simbu serogroup of arboviruses, including SHUV.

The Study

We collected mosquitoes across 5 provinces of South Africa (Figure 1). Site selection was based on historical outbreaks of arboviruses, including SHUV, in animals (,) and humans (). During January 2014–May 2017, we collected mosquitoes monthly; we performed additional collections in 2017 in and around the Kruger National Park (). In 2018, we performed 1 collection per site during January–May.
Figure 1

Mosquito collection sites indicating collection locations of Shuni virus–positive (circles) and negative (triangles) mosquito pools, South Africa, January 2014–May 2018. Inset map shows location of South Africa in Africa.

Mosquito collection sites indicating collection locations of Shuni virus–positive (circles) and negative (triangles) mosquito pools, South Africa, January 2014–May 2018. Inset map shows location of South Africa in Africa. We used multiple types of dry ice (carbon dioxide) baited traps: nets, CDC miniature light traps (https://www.johnwhock.com), and BG-Sentinel traps (https://www.bg-sentinel.com). We set traps during 3:30–6:00 pm and emptied them during 5:00–8:00 am. We killed mosquitoes by freezing and then morphologically identified them to the species level. We pooled females (<50 individuals) by species, collection site, and month. We selected mosquitoes for screening from pools collected during January–June, which represents late summer and autumn, when arbovirus infections in animals and humans in South Africa increase. We obtained climate data from the South African Weather Service (http://www.weathersa.co.za). For the virus assays, we produced homogenate pools by placing 5 sterile glass beads in microcentrifuge tubes containing 2 mL of reconstituted minimum essential medium, which we then vigorously shook and clarified. The resulted supernatant was stored at −80°C. To extract viral RNA from 200 μL homogenate, we used an RNeasy mini kit (QIAGEN, https://www.qiagen.com) according to the manufacturer’s instructions. We screened extracted RNA by using 2 PCRs, each targeting the nucleocapsid (NP) gene on the small (S) segment: a Simbu serogroup/orthobunyavirus–specific one-step TaqMan real-time reverse transcription PCR targeting a 152-bp fragment () and an SHUV nested real-time RT-PCR targeting a 460-bp fragment (). In an attempt to obtain larger fragments, we performed an SHUV conventional PCR with published primers (). For mosquito barcoding (species identification), we extracted DNA from 50 μL of the homogenate by using a QIAGEN DNeasy Blood & Tissue Kit according to the manufacturer’s instructions. The subunit I of the cytochrome oxidase gene was amplified by using universal primers (). All products of the expected size were sequenced by Sanger sequencing at the Forestry Agriculture Bioinformatics Institute, University of Pretoria (Pretoria, South Africa). We compared the resulting sequences by using BLAST (https://blast.ncbi.nlm.nih.gov/Blast.cgi) with sequences available from GenBank, including SHUV strains from South Africa, Nigeria, and Israel and other representative members of Simbu serogroup. For the cytochrome oxidase gene, we selected representative mosquito sequences from GenBank and BOLD (https://v3.boldsystems.org). We compiled multiple sequence alignments by using MAFFT (https://mafft.cbrc.jp/alignment/software), produced maximum-likelihood trees by using MEGA 7.0 (https://www.megasoftware.net), and calculated maximum-likelihood estimates of mosquito infection rates by using PooledInfRate (https://www.cdc.gov/ncidod/dvbid/westnile/software.htm). Of the 64,603 adult mosquitoes collected as described (,), we tested 39,035 females. A total of 11 pools were positive for SHUV (Table 1). No other orthobunyaviruses were detected. Positive pools for SHUV were detected in conservation areas (6/11, 54.5%) and rural areas (5/11, 45.5%) (Figure 1). Populations of the SHUV-positive mosquito species peaked with the heavy rains and with the highest mean air temperatures (Appendix Figure 1), which promote establishment of breeding sites and favorable habitats for developing stages and subsequent population growth.
Table 1

Mosquito species positive for Shuni virus, South Africa, January 2014–May 2018

SpeciesNo. assayedNo. pools positive/no. pools testedInfection rate, % (95% CI)*
Anopheles pharoensis
27
1/4
39.0 (2.4–212.0)
Culex theileri 5081/221.9 (0.1–9.0)
Cx. annulioris
120
1/7
6.7 (0.5–33.6)
Mansonia africana 3403/138.7 (2.6–23.3)
Ma. uniformis
2,428
2/62
0.8 (0.1–2.7)
Aedes subargenteus 11/1Not applicable†
Ae. mcintoshi 3,6531/870.3 (0.0–1.3)
Aedes spp.
273
1/25
3.6 (0.2–17.2)
Total7,35011/221

*Maximum-likelihood estimation: no. positive/no. mosquitoes assayed × 1,000. †When all pools tested were positive for Shuni virus, the likelihood methods failed.

*Maximum-likelihood estimation: no. positive/no. mosquitoes assayed × 1,000. †When all pools tested were positive for Shuni virus, the likelihood methods failed. The maximum-likelihood phylogeny based on the genus Orthobunyavirus PCR fragment of 152-bp of the S segment showed that all SHUV viruses from the mosquitoes clustered with the Simbu serogroup (Appendix Figures 1, 2) and were closest to SHUV on the basis of p-distance analyses (data not shown). For 5 samples, a larger region of the S segment could be amplified to confirm the clustering with SHUV strains previously identified in horses and wildlife from South Africa (Figure 2) and p-distances of 94%–100% with strains previously identified in South Africa, Israel, and Nigeria. Mosquito barcodes consisting of 517-bp were used to build a maximum-likelihood tree (Appendix Table 1, Figures 1–3). The barcoding confirmed all morphologic identifications except for a pool of damaged Aedes spp. mosquitoes and for Ae. subargenteus mosquitoes (for which no other sequence was available in the databases).
Figure 2

Phylogenetic tree of SHUV-positive homogenate mosquito pools, South Africa, January 2014–May 2018 (black dots), based on 32 sequences and 328 bp of the nucleocapsid gene on the small segment. The tree was constructed with MEGA 7 software (https://www.megasoftware.net) by using the maximum-likelihood method and the Kimura 2-parameter model with 1,000 bootstrap replicates and includes members of the Simbu serogroup. The tree with the highest log likelihood (−299.13) is shown. GenBank accession numbers are indicated for the new and reference strains, which were selected from SHUV strains identified in South Africa among horses and wildlife (,) as well as strains from Nigeria and Israel available in GenBank. Numbers on internal branches indicate bootstrap values. RSA, South Africa; SHUV, Shuni virus.

Phylogenetic tree of SHUV-positive homogenate mosquito pools, South Africa, January 2014–May 2018 (black dots), based on 32 sequences and 328 bp of the nucleocapsid gene on the small segment. The tree was constructed with MEGA 7 software (https://www.megasoftware.net) by using the maximum-likelihood method and the Kimura 2-parameter model with 1,000 bootstrap replicates and includes members of the Simbu serogroup. The tree with the highest log likelihood (−299.13) is shown. GenBank accession numbers are indicated for the new and reference strains, which were selected from SHUV strains identified in South Africa among horses and wildlife (,) as well as strains from Nigeria and Israel available in GenBank. Numbers on internal branches indicate bootstrap values. RSA, South Africa; SHUV, Shuni virus. Of the 11 pools of SHUV-positive mosquitoes, species belonged to the genera Mansonia (5 pools), Aedes (3 pools), Culex (2 pools), and Anopheles (1 pool) (Table 2). Previously, SHUV had been detected in Cx. theileri mosquitoes collected in the 1970s near Johannesburg, South Africa (). In that study, 2 pools of SHUV-positive Cx. theileri mosquitoes were also identified, although mosquitoes of this species were not abundant in the sites detected.
Table 2

Mosquitoes positive for Shuni virus, South Africa, January 2014–May 2018*

SpeciesSiteID no.Pool sizeGenBank SHUV accession no.GenBank COI accession no.†
Anopheles. pharoensis MarakeleMar16mp5912NAMT428079
Culex theileri MarakeleMar16mp483MN914125MT428080
Cx. annulioris LapalalaLap15mp154MN914124MT428086
Mansonia uniformis KNPKnp17mp7589NAMT428087
Ma. africana KNPKnp17mp76141NAMT428089
Ma. uniformis KNPKnp17mp7552NAMT428088
Ma. africanaKNPKnp17mp7531NAMT434140
Aedes subargenteus JoziniKzn17mp1082NAMT428082
Ae. mcintoshi MnisiKru16mp024MT433095MT428081
Aedes spp.MnisiKru16mp058MT433096MT428085
Ma. uniformis MnisiKru17mp43950MT433097MT428083

*COI, subunit I of the cytochrome oxidase gene; ID, identification; KNP, Kruger National Park; NA, not available because of sequence <200 bp; SHUV, Shuni virus. †These sequences are available upon request.

*COI, subunit I of the cytochrome oxidase gene; ID, identification; KNP, Kruger National Park; NA, not available because of sequence <200 bp; SHUV, Shuni virus. †These sequences are available upon request. The highest rate of SHUV detection was in Mansonia uniformis mosquitoes, which were found in high numbers at the Shuni virus–positive pool collection sites. Three other arboviruses have been isolated from M. uniformis mosquitoes in South Africa: Wesselsbron, Ndumu, and Spondeweni (). M. africana mosquitoes tested positive, but only small numbers of these mosquitoes were collected. Mansonia spp. mosquitoes can feed readily on humans and animals () and could have a potential epidemiologic role as bridge species for transmission between animals and humans. Mosquitoes of other species that tested positive included Aedes mcintoshi and Ae. subargenteus. Positive Ae. mcintoshi mosquitoes were collected from Mnisi, where they were the most abundant Aedes spp. at that site. They are considered nonspecific/opportunistic feeders and have a broad range of mammal hosts (). Ae. subargenteus mosquitoes are tree hole mosquitoes and are either rare in South Africa () or are not attracted to the traps used in our study. Although little information about those mosquitoes is available, they might have a strong preference for biting humans (). Although SHUV has been detected in mosquitoes, recent studies have also implicated Culicoides spp. midges as potential competent vectors (). An investigation of the vector competence of Culicoides midges and laboratory-reared Cx. pipiens and Ae. aegypti mosquitoes for SHUV () indicated that neither species of mosquito was susceptible but that Culicoides midges demonstrated the capacity to transmit SHUV. No Ae. aegypti and Cx. pipiens field-caught mosquitoes tested positive for SHUV in this or other studies. Vector competence studies that used SHUV-positive species of mosquitoes identified in our study may define appropriate mosquito vectors and their role in the transmission of SHUV to animals and humans in Africa and the risk to areas where they are found outside the continent.

Conclusions

Entomologic surveillance for orthobunyaviruses revealed a wide range of potential mosquito vectors for SHUV. We identified SHUV in different species of mosquitoes in South Africa, where cases with neurologic signs have been detected in animals (,) and humans (). The identified mosquito species have also been associated with other arboviruses across Africa. SHUV recently emerged in Israel, where it is associated with neurologic disease and birth defects in animals (). Mosquitoes of the identified species are potential vectors of SHUV and may be associated with SHUV outbreaks in Africa and further emergence in new regions.

Appendix

Supplemental results from study of potential mosquito vectors for Shuni virus, South Africa, 2014–2018.
  13 in total

1.  Isolations of Simbu-group viruses in Ibadan, Nigeria 1964-69, including the new types Sango, Shamonda, Sabo and Shuni.

Authors:  O R Causey; G E Kemp; C E Causey; V H Lee
Journal:  Ann Trop Med Parasitol       Date:  1972-09

2.  A reassortant bunyavirus isolated from acute hemorrhagic fever cases in Kenya and Somalia.

Authors:  M D Bowen; S G Trappier; A J Sanchez; R F Meyer; C S Goldsmith; S R Zaki; L M Dunster; C J Peters; T G Ksiazek; S T Nichol
Journal:  Virology       Date:  2001-12-20       Impact factor: 3.616

3.  Anthropophilic mosquitoes at Richards Bay, Natal, and arbovirus antibodies in human residents.

Authors:  B L Sharp; C C Appleton; D L Thompson; G Meenehan
Journal:  Trans R Soc Trop Med Hyg       Date:  1987       Impact factor: 2.184

4.  DNA primers for amplification of mitochondrial cytochrome c oxidase subunit I from diverse metazoan invertebrates.

Authors:  O Folmer; M Black; W Hoeh; R Lutz; R Vrijenhoek
Journal:  Mol Mar Biol Biotechnol       Date:  1994-10

5.  Vector competence of biting midges and mosquitoes for Shuni virus.

Authors:  Tim W R Möhlmann; Judith Oymans; Paul J Wichgers Schreur; Constantianus J M Koenraadt; Jeroen Kortekaas; Chantal B F Vogels
Journal:  PLoS Negl Trop Dis       Date:  2018-12-07

6.  A comparative assessment of adult mosquito trapping methods to estimate spatial patterns of abundance and community composition in southern Africa.

Authors:  Erin E Gorsich; Brianna R Beechler; Peter M van Bodegom; Danny Govender; Milehna M Guarido; Marietjie Venter; Maarten Schrama
Journal:  Parasit Vectors       Date:  2019-10-02       Impact factor: 3.876

7.  ICTV Virus Taxonomy Profile: Peribunyaviridae.

Authors:  Holly R Hughes; Scott Adkins; Sergey Alkhovskiy; Martin Beer; Carol Blair; Charles H Calisher; Mike Drebot; Amy J Lambert; William Marciel de Souza; Marco Marklewitz; Márcio R T Nunes; Xiǎohóng Shí 石晓宏
Journal:  J Gen Virol       Date:  2020-01       Impact factor: 3.891

8.  Aedes species (Diptera: Culicidae) ecological and host feeding patterns in the north-eastern parts of South Africa, 2014-2018.

Authors:  M M Guarido; M A Riddin; T Johnson; L E O Braack; M Schrama; E E Gorsich; B D Brooke; A P G Almeida; Marietjie Venter
Journal:  Parasit Vectors       Date:  2021-06-26       Impact factor: 3.876

9.  Shuni Virus in Wildlife and Nonequine Domestic Animals, South Africa.

Authors:  Jumari Steyn; Pebetsi Motlou; Charmaine van Eeden; Marthi Pretorius; Voula I Stivaktas; June Williams; Louwtjie P Snyman; Peter E Buss; Brianna Beechler; Anna Jolles; Eva Perez-Martin; Jan G Myburgh; Johan Steyl; Marietjie Venter
Journal:  Emerg Infect Dis       Date:  2020-07       Impact factor: 6.883

10.  An Investigation of Culicoides (Diptera: Ceratopogonidae) as Potential Vectors of Medically and Veterinary Important Arboviruses in South Africa.

Authors:  Jumari Snyman; Gert J Venter; Marietjie Venter
Journal:  Viruses       Date:  2021-10-01       Impact factor: 5.048

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