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Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti
BACKGROUND: Surveillance of mosquito infection status is critical for planning and deployment of proper mosquito control initiatives. Point-of-care (POC) detection assays are necessary for monitoring the infection prevalence and geographical range of viruses in mosquito vector populations. We theref...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513541/ https://www.ncbi.nlm.nih.gov/pubmed/32972453 http://dx.doi.org/10.1186/s13071-020-04357-y |
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author | Rutkowski, Natalie Dong, Yuemei Dimopoulos, George |
author_facet | Rutkowski, Natalie Dong, Yuemei Dimopoulos, George |
author_sort | Rutkowski, Natalie |
collection | PubMed |
description | BACKGROUND: Surveillance of mosquito infection status is critical for planning and deployment of proper mosquito control initiatives. Point-of-care (POC) detection assays are necessary for monitoring the infection prevalence and geographical range of viruses in mosquito vector populations. We therefore assessed the novel real-time PCR (qPCR) bCUBE (Hyris, London, UK) molecular diagnostic system as a tool for virus detection. METHODS: Aedes aegypti Rps17 was used to validate and determine correlation coefficient for the novel bCUBE qPCR system to a laboratory standard StepOnePlus real-time PCR system (Applied Biosystems, Waltham, MA, USA). Experimentally infected Ae. aegypti were quantified for Zika (ZIKV) and dengue virus serotype 2 (DENV2) viral genomic RNA. Infection prevalence was compared to plaque assay. RESULTS: We developed and validated a novel qPCR system for the detection of ZIKV and DENV2 using the real-time qPCR system bCUBE. With bCUBE-based qRT-PCR, viral genomic RNA could be detected in individually infected Ae. aegypti mosquitoes and in pools of 5, 10 or 15 mosquitoes. CONCLUSIONS: The portable qPCR bCUBE diagnostic system is capable of detecting Zika and dengue virus in mosquitoes and therefore has potential as a practical field-deployable diagnostic test for vector-borne disease surveillance programmes. [Image: see text] |
format | Online Article Text |
id | pubmed-7513541 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-75135412020-09-25 Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti Rutkowski, Natalie Dong, Yuemei Dimopoulos, George Parasit Vectors Research BACKGROUND: Surveillance of mosquito infection status is critical for planning and deployment of proper mosquito control initiatives. Point-of-care (POC) detection assays are necessary for monitoring the infection prevalence and geographical range of viruses in mosquito vector populations. We therefore assessed the novel real-time PCR (qPCR) bCUBE (Hyris, London, UK) molecular diagnostic system as a tool for virus detection. METHODS: Aedes aegypti Rps17 was used to validate and determine correlation coefficient for the novel bCUBE qPCR system to a laboratory standard StepOnePlus real-time PCR system (Applied Biosystems, Waltham, MA, USA). Experimentally infected Ae. aegypti were quantified for Zika (ZIKV) and dengue virus serotype 2 (DENV2) viral genomic RNA. Infection prevalence was compared to plaque assay. RESULTS: We developed and validated a novel qPCR system for the detection of ZIKV and DENV2 using the real-time qPCR system bCUBE. With bCUBE-based qRT-PCR, viral genomic RNA could be detected in individually infected Ae. aegypti mosquitoes and in pools of 5, 10 or 15 mosquitoes. CONCLUSIONS: The portable qPCR bCUBE diagnostic system is capable of detecting Zika and dengue virus in mosquitoes and therefore has potential as a practical field-deployable diagnostic test for vector-borne disease surveillance programmes. [Image: see text] BioMed Central 2020-09-24 /pmc/articles/PMC7513541/ /pubmed/32972453 http://dx.doi.org/10.1186/s13071-020-04357-y Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Rutkowski, Natalie Dong, Yuemei Dimopoulos, George Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title | Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title_full | Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title_fullStr | Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title_full_unstemmed | Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title_short | Field-deployable molecular diagnostic platform for arbovirus detection in Aedes aegypti |
title_sort | field-deployable molecular diagnostic platform for arbovirus detection in aedes aegypti |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7513541/ https://www.ncbi.nlm.nih.gov/pubmed/32972453 http://dx.doi.org/10.1186/s13071-020-04357-y |
work_keys_str_mv | AT rutkowskinatalie fielddeployablemoleculardiagnosticplatformforarbovirusdetectioninaedesaegypti AT dongyuemei fielddeployablemoleculardiagnosticplatformforarbovirusdetectioninaedesaegypti AT dimopoulosgeorge fielddeployablemoleculardiagnosticplatformforarbovirusdetectioninaedesaegypti |