Abstract

BackgroundThe mosquito-borne alphaviruses chikungunya virus (CHIKV) and o'nyong-nyong virus (ONNV) are closely related Alphaviruses that belong to the Semliki forest virus serocomplex. The two viruses are associated with large outbreaks with significant morbidity. However, they are transmitted by different mosquito vectors and accordingly need different prevention strategies. The viruses are difficult to distinguish clinically and there is a lack of sensitive and specific assays that can discriminate between CHIKV and ONNV. Therefore, there is a need for new methods that may be able to determine the true burden of the diseases caused by these viruses, especially in resource-poor settings.MethodTo distinguish between CHIKV and ONNV, we designed and optimized two genetic methods, melt analysis of mismatch amplification mutation assay (Melt-MAMA) and agarose gel-based mismatch amplification mutation assay (Agarose-MAMA). The identification was based on single nucleotide polymorphisms using two competing forward primers and a common reverse primer that targeted selected sites in the envelope genes (E1 and E2). A specific shift in the melting point and mobility on agarose gels was obtained by tailing one of the two competing primers with a G/C-rich stretch of nucleotides.ResultsThe melting point analyses by real-time polymerase chain reaction (qPCR Melt-MAMA) or gel-shift assay (Agarose-MAMA assay) for CHIKV and ONNV were found to be reproducible and the sensitivity of the two assays was estimated at under 100 template copies/reaction. Furthermore, no cross-reactivity with related viruses of the same serocomplex such as Mayaro virus, Ross River virus or Semliki forest virus was detected, or with other viruses such as Sindbis virus (Alphavirus), West Nile virus, dengue virus (Flavivirus), Inkoo virus and Tahyna virus (Orthobunyavirus). The results from the two assays were comparable when the obtained amplicons were analyzed by Melt-MAMA or by Agarose-MAMA.ConclusionHerein we present reliable and robust methods that can discriminate between CHIKV and ONNV. These methods can be used in well-equipped laboratories and basic clinical settings (e.g., in developing countries), as well as in field situations. The approach may also be applicable in the distinction of other closely-related mosquito-borne viruses that belong to the same serogroup.

Highlights

  • Chikungunya virus (CHIKV) and o’nyong-nyong virus (ONNV) are mosquito-borne alphaviruses endemic in East Africa

  • The mosquito-borne alphaviruses chikungunya virus (CHIKV) and o’nyong-nyong virus (ONNV) are closely related Alphaviruses that belong to the Semliki forest virus serocomplex

  • Conclusion: we present reliable and robust methods that can discriminate between CHIKV and ONNV

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Summary

Introduction

Chikungunya virus (CHIKV) and o’nyong-nyong virus (ONNV) are mosquito-borne alphaviruses endemic in East Africa. CHIKV and ONNV are enveloped, positive-sense, singlestranded RNA viruses with a genome size of approximately 11.8 kb [3]. They belong to the genus Alphavirus of the family Togaviridae [4,5,6]. The viruses are genetically distinct [12], but interestingly, it has been suggested that CHIKV mutations might have affected the evolution of ONNV and its ability to be transmitted by the Anopheles mosquitoes [13]. The mosquito-borne alphaviruses chikungunya virus (CHIKV) and o’nyong-nyong virus (ONNV) are closely related Alphaviruses that belong to the Semliki forest virus serocomplex. The two viruses are associated with large outbreaks with significant morbidity They are transmitted by different mosquito vectors and need different prevention strategies. There is a need for new methods that may be able to determine the true burden of the diseases caused by these viruses, especially in resource-poor settings

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