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      Surveillance of dengue virus in individual Aedes aegypti mosquitoes collected concurrently with suspected human cases in Tarlac City, Philippines

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          Abstract

          Background

          Vector control measures are critical for the prevention and reduction of dengue virus (DENV) transmission. Effective vector control is reliant not only on knowledge of mosquito abundance, but also on the timely and accurate detection of mosquito-borne infection. Mosquito-based virus surveillance programs typically rely on pool-based mosquito testing, although whether individual-based mosquito testing is a feasible alternative to this has not been widely studied. Applying an individual-based mosquito testing approach, we conducted a 1-month surveillance study of DENV in adult Aedes aegypti mosquitoes in homes of suspected dengue patients during the 2015 peak dengue season in Tarlac City, Philippines to more accurately assess the mosquito infection rate and identify the DENV serotypes and genotypes concurrently co-circulating in mosquitoes and patients there.

          Methods

          We performed a one-step multiplex real-time reverse transcription-polymerase chain reaction (RT-PCR) assay for the simultaneous detection and serotyping of DENV in patients and individual female Ae. aegypti mosquitoes. Additionally, we performed sequencing and phylogenetic analyses to further characterize the detected DENV serotypes in mosquitoes and patients at the genotype level.

          Results

          We collected a total of 583 adult Ae. aegypti mosquitoes, of which we individually tested 359 female mosquitoes for the presence of DENV. Ten (2.8%) of the 359 female mosquitoes were positive for the presence of DENV. We detected DENV-1, DENV-2, and DENV-4 in the field-collected mosquitoes, which was consistent with the serotypes concurrently found in infected patients. Sequencing and phylogenetic analyses of the detected DENV serotypes based on the partial sequence of the evelope ( E) gene revealed three genotypes concurrently present in the sampled mosquitoes and patients during the study period, namely DENV-1 genotype IV, DENV-2 Cosmopolitan genotype, and DENV-4 genotype II.

          Conclusions

          We demonstrated the utility of a one-step multiplex real-time RT-PCR assay for the individual-based DENV surveillance of mosquitoes. Our findings reinforce the importance of detecting and monitoring virus activity in local mosquito populations, which are critical for dengue prevention and control.

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          Most cited references57

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          New algorithms and methods to estimate maximum-likelihood phylogenies: assessing the performance of PhyML 3.0.

          PhyML is a phylogeny software based on the maximum-likelihood principle. Early PhyML versions used a fast algorithm performing nearest neighbor interchanges to improve a reasonable starting tree topology. Since the original publication (Guindon S., Gascuel O. 2003. A simple, fast and accurate algorithm to estimate large phylogenies by maximum likelihood. Syst. Biol. 52:696-704), PhyML has been widely used (>2500 citations in ISI Web of Science) because of its simplicity and a fair compromise between accuracy and speed. In the meantime, research around PhyML has continued, and this article describes the new algorithms and methods implemented in the program. First, we introduce a new algorithm to search the tree space with user-defined intensity using subtree pruning and regrafting topological moves. The parsimony criterion is used here to filter out the least promising topology modifications with respect to the likelihood function. The analysis of a large collection of real nucleotide and amino acid data sets of various sizes demonstrates the good performance of this method. Second, we describe a new test to assess the support of the data for internal branches of a phylogeny. This approach extends the recently proposed approximate likelihood-ratio test and relies on a nonparametric, Shimodaira-Hasegawa-like procedure. A detailed analysis of real alignments sheds light on the links between this new approach and the more classical nonparametric bootstrap method. Overall, our tests show that the last version (3.0) of PhyML is fast, accurate, stable, and ready to use. A Web server and binary files are available from http://www.atgc-montpellier.fr/phyml/.
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                Author and article information

                Contributors
                jcpbalingit@gmail.com
                tads.carvajal@gmail.com
                saitom@med.tohoku.ac.jp
                gamboa@cee.ehime-u.ac.jp
                amaleanicolasora@gmail.com
                avakristysy@gmail.com
                oshitanih@med.tohoku.ac.jp
                watanabe.kozo.mj@ehime-u.ac.jp
                Journal
                Parasit Vectors
                Parasit Vectors
                Parasites & Vectors
                BioMed Central (London )
                1756-3305
                25 November 2020
                25 November 2020
                2020
                : 13
                : 594
                Affiliations
                [1 ]GRID grid.255464.4, ISNI 0000 0001 1011 3808, Center for Marine Environmental Studies (CMES), , Ehime University, ; Matsuyama, Ehime Japan
                [2 ]GRID grid.255464.4, ISNI 0000 0001 1011 3808, Graduate School of Science and Engineering, , Ehime University, ; Matsuyama, Ehime Japan
                [3 ]GRID grid.411987.2, ISNI 0000 0001 2153 4317, Biological Control Research Unit, Center for Natural Science and Environmental Research, , De La Salle University, ; Taft Avenue, Manila, Philippines
                [4 ]GRID grid.69566.3a, ISNI 0000 0001 2248 6943, Department of Virology, , Tohoku University Graduate School of Medicine, ; Sendai, Miyagi Japan
                [5 ]GRID grid.437564.7, ISNI 0000 0004 4690 374X, Molecular Biology Laboratory, Research Institute for Tropical Medicine, ; Muntinlupa, Metro Manila Philippines
                [6 ]GRID grid.437564.7, ISNI 0000 0004 4690 374X, Virology Department, , Research Institute for Tropical Medicine, ; Muntinlupa, Metro Manila Philippines
                [7 ]GRID grid.437564.7, ISNI 0000 0004 4690 374X, Tohoku-RITM Collaborative Research Center on Emerging and Reemerging Infectious Diseases, ; Muntinlupa, Metro Manila Philippines
                Article
                4470
                10.1186/s13071-020-04470-y
                7687837
                33239063
                380f245c-b190-440e-b206-30ea3c5b97b9
                © 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.

                History
                : 9 August 2020
                : 5 November 2020
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: 19KK0107
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100009619, Japan Agency for Medical Research and Development;
                Award ID: JP19fm0108013
                Award ID: JPwm0125001
                Award Recipient :
                Funded by: Leading Academia in Marine and Environment Pollution Research
                Award ID: 30-04
                Award Recipient :
                Funded by: JSPS Core-to-Core Program B Asia-Africa Science Platforms
                Funded by: Endowed Chair Program of the Sumitomo Electric Industries Group Corporate Social Responsibility Foundation
                Categories
                Research
                Custom metadata
                © The Author(s) 2020

                Parasitology
                dengue virus,mosquito-based virus surveillance,aedes aegypti,multiplex real-time reverse transcription-polymerase chain reaction,phylogenetic analysis,philippines

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