<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="methods-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Gates Open Res</journal-id>
            <journal-title-group>
                <journal-title>Gates Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2572-4754</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/gatesopenres.13534.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Method Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 1; peer review: 2 approved]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Ahmed</surname>
                        <given-names>Madeeha</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-9750-8377</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Pollak</surname>
                        <given-names>Nina M.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hugo</surname>
                        <given-names>Leon E.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6767-9850</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>van den Hurk</surname>
                        <given-names>Andrew F.</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hobson-Peters</surname>
                        <given-names>Jody</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <xref ref-type="aff" rid="a6">6</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Macdonald</surname>
                        <given-names>Joanne</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Conceptualization</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Methodology</role>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4624-3545</uri>
                    <xref ref-type="corresp" rid="c2">b</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Centre for Bioinnovation, University of the Sunshine Coast, Sippy Downs, QLD, 4556, Australia</aff>
                <aff id="a2">
                    <label>2</label>School of Science, Technology and Engineering, University of the Sunshine Coast, Sippy Downs, QLD, 4556, Australia</aff>
                <aff id="a3">
                    <label>3</label>DMTC Limited, Hawthorn, Victoria, 3122, Australia</aff>
                <aff id="a4">
                    <label>4</label>Mosquito Control Laboratory, QIMR Berghofer Medical Research Institute, Herston, QLD, 4006, Australia</aff>
                <aff id="a5">
                    <label>5</label>Public Health Virology, Forensic and Scientific Services, Department of Health, Queensland Government, Coopers Plains, QLD, 4108, Australia</aff>
                <aff id="a6">
                    <label>6</label>Australian Infectious Diseases Research Centre, School of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, 4072, Australia</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:npollak@usc.edu.au">npollak@usc.edu.au</email>
                </corresp>
                <corresp id="c2">
                    <label>b</label>
                    <email xlink:href="mailto:jmacdon1@usc.edu.au">jmacdon1@usc.edu.au</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>Joanne Macdonald is a co-founder, shareholder, director and employee of BioCifer Pty. Ltd., who has licensed the technology. Joanne Macdonald is a Project Leader for DMTC Ltd., Australia. Nina Pollak is a funded post-doctoral research scientist for DMTC Ltd, Australia. All other authors declare no competing interest. </p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>19</day>
                <month>7</month>
                <year>2022</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2022</year>
            </pub-date>
            <volume>6</volume>
            <elocation-id>81</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>31</day>
                    <month>5</month>
                    <year>2022</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Ahmed M et al.</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://gatesopenresearch.org/articles/6-81/pdf"/>
            <abstract>
                <p>The pantropic emergence of severe dengue disease can partly be attributed to the co-circulation of different dengue viruses (DENVs) in the same geographical location. Effective monitoring for circulation of each of the four DENVs is critical to inform disease mitigation strategies. In low resource settings, this can be effectively achieved by utilizing inexpensive, rapid, sensitive and specific assays to detect viruses in mosquito populations. In this study, we developed four rapid DENV tests with direct applicability for low-resource virus surveillance in mosquitoes. The test protocols utilize a novel sample preparation step, a single-temperature isothermal amplification, and a simple lateral flow detection. Analytical sensitivity testing demonstrated tests could detect down to 1,000 copies/&#x00b5;L of virus-specific DENV RNA, and analytical specificity testing indicated tests were highly specific for their respective virus, and did not detect closely related flaviviruses. All four DENV tests showed excellent diagnostic specificity and sensitivity when used for detection of both individually infected mosquitoes and infected mosquitoes in pools of uninfected mosquitoes. With individually infected mosquitoes, the rapid DENV-1, -2 and -3 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=8 for DENV-1; n=10 for DENV 2,3) and the DENV-4 test showed 92% diagnostic sensitivity (CI: 62% to 100%, n=12) along with 100% diagnostic specificity (CI: 48&#x2013;100%) for all four tests. Testing infected mosquito pools, the rapid DENV-2, -3 and -4 tests showed 100% diagnostic sensitivity (95% CI = 69% to 100%, n=10) and the DENV-1 test showed 90% diagnostic sensitivity (55.50% to 99.75%, n=10) together with 100% diagnostic specificity (CI: 48&#x2013;100%). Our tests reduce the operational time required to perform mosquito infection status surveillance testing from &gt; two hours to only 35 minutes, and have potential to improve accessibility of mosquito screening, improving monitoring and control strategies in low-income countries most affected by dengue outbreaks.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>dengue virus</kwd>
                <kwd>recombinase polymerase amplification</kwd>
                <kwd>isothermal amplification</kwd>
                <kwd>lateral flow detection</kwd>
                <kwd>rapid molecular assays</kwd>
                <kwd>mosquitoes</kwd>
                <kwd>Aedes aegypti</kwd>
                <kwd>mosquito surveillance</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>DMTC Limited</funding-source>
                    <award-id>MedicalCountermeasuresProgram</award-id>
                </award-group>
                <award-group id="fund-2" xlink:href="http://dx.doi.org/10.13039/501100001796">
                    <funding-source>University of the Sunshine Coast</funding-source>
                    <award-id>UniversityoftheSunshineCoastResearchScholarship(USCRS)</award-id>
                </award-group>
                <award-group id="fund-3" xlink:href="http://dx.doi.org/10.13039/501100003550">
                    <funding-source>Queensland Government</funding-source>
                    <award-id>AdvanceQueenslandIndustryResearchFellowship[AQIRF067-2020-CV]</award-id>
                </award-group>
                <funding-statement>This work was supported by the Gates Foundation OPP1140133. The work was also funded by the University of the Sunshine Coast, and M. Ahmed is additionally supported by a University of the Sunshine Coast Research Scholarship (USCRS). J. Hobson-Peters is supported by the Advance Queensland Industry Research Fellowship [AQIRF067-2020-CV]. N. M. Pollak is supported by the DMTC Limited (Australia), Medical Countermeasures Program [Project 10.75].</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>Dengue is a debilitating and potentially fatal mosquito-borne disease with increasing global incidence over the last three to four decades
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. Dengue occurs in approximately 129 countries
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>, putting four billion people at risk of severe disease, with an estimated 390 million people infected each year
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. The disease is caused by infection with dengue viruses (DENVs), which exist as four antigenically and genetically distinct serotypes (DENV 1&#x2013;4)
                <sup>
                    <xref ref-type="bibr" rid="ref-4">4</xref>
                </sup>. Subsequent infections with different serotypes can present as potentially fatal severe dengue, due to antibody-dependent enhancement
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>,
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>. The pantropic emergence of severe dengue disease can be partly attributed to the co-circulation of different serotypes in the same geographical location
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>.</p>
            <p>The primary vectors that transmit DENVs are the urbanized mosquitoes, 
                <italic toggle="yes">Aedes aegypti</italic> and 
                <italic toggle="yes">Aedes albopictus</italic>
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. Surveillance of different DENV serotypes in these vectors is critical for monitoring transmission dynamics and risk of cross-serotype secondary infections
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. Mosquito-based surveillance also plays an important role in identifying active transmission that could lead to outbreaks, designing effective mitigation programs and assessing the effectiveness of implemented control strategies
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. Methods for DENV surveillance in mosquitoes include virus isolation
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>, antigen detection
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>, and molecular testing using either conventional
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup> or reverse-transcription quantitative polymerase chain reaction (RT-qPCR)
                <sup>
                    <xref ref-type="bibr" rid="ref-18">18</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup> or isothermal amplification techniques
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. These techniques, however, can be limited in their implementation due to issues with sensitivity or specificity, or because they require sophisticated instruments and laboratory infrastructure that is not readily available in resource-limited countries where DENVs exert their greatest toll.</p>
            <p>For rapid detection of DENV in resource-limited environments, the isothermal technique recombinase polymerase amplification (RPA) has been identified as a promising tool, with rapid reaction times (15&#x2013;30 minutes) at a single constant low temperature, without the need for sophisticated instruments
                <sup>
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>. The technology has demonstrated diagnostic sensitivity and specificity comparable to RT-qPCR (77&#x2013;98% clinical sensitivity, n=31, 97.9&#x2013;100% clinical specificity)
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup> when used to detect DENVs in a fluorescent real-time reverse-transcription format (real-time RT-RPA), as well with reverse-transcription RPA lateral flow detection (RT-RPA/LFD), which showed a 100% coincidence rate with RPA and RT-qPCR using clinical samples
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>. However, these RPA-based tests required multi-step column-based kits to extract viral nucleic acids that required laboratory-based testing, did not distinguish between different serotypes, and were not tested for utility with mosquito surveillance. In this study, we report four rapid RT-RPA/LFD tests able to specifically detect each of the four DENVs. These tests were then combined with a novel 10-minute field-amenable procedure for mosquito sample processing preparing total nucleic acids that only requires a single-tube and two simple steps and does not need any sophisticated instruments or specialized viral RNA extraction kits. The resultant rapid DENV 1&#x2013;4 tests were then tested using experimentally infected mosquitoes. Our rapid dengue 1&#x2013;4 tests have potential to provide low-resource implementation of specific DENV detection in mosquito populations enabling effective surveillance for improved disease management.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Oligonucleotides, plasmids, and RNA standards</title>
                <p>
                    <bold>
                        <italic toggle="yes">Plasmids</italic>
                    </bold> containing synthetic non-structural five (NS5) gene fragments from the respective dengue serotypes in pBIC-A cloning vector were obtained from Bioneer Pacific (Victoria, Australia) to use as a control DNA template. Synthetic NS5 gene fragments in pBIC-A plasmids were derived from isolates of each dengue serotype: DENV-1 (GU131962.1) from 885 to 1561 bp (677 bp); DENV-2 (NC_001474.2) from 874 to 1560 (687 bp); DENV-3 (KF921921.1) from 865 to 1562 and DENV-4 (JF262780.1) from 864 to 1559 bp (696 bp) as a template. A fifth plasmid containing synthetic DENV-1 capsid fragment conjoined to the NS5 fragment was constructed to be used as a molecular standard for a universal dengue RT-qPCR test. This plasmid was also obtained from Bioneer Pacific (Victoria, Australia), and covered 200 bp of the anchored capsid peptide coding region (95 to 436 nt of Genbank accession number: KF973466.1) and 230 bp of the NS5 gene fragment (900 to 1130 nt of Genbank accession number: GU131962.1) in pBIC-A cloning vector. Copy number was determined using the Qubit&#x2122; DNA HS Assay Kit (Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia) according to the manufacturer&#x2019;s instructions.</p>
                <p>
                    <italic toggle="yes">
                        <bold>
                            <italic toggle="yes">RNA transcripts</italic>
                        </bold>
                    </italic> for sensitivity studies were derived from the respective plasmid DNA. Briefly, the circular plasmid was linearized with Xho-1 restriction enzyme to obtain the template, followed by agarose gel electrophoresis, extraction and gel clean-up of the digested linear template DNA (NucleoSpin&#x00ae; Gel and PCR Clean-up: Macherey-Nagel, D&#x00fc;ren, Germany). Single-stranded RNA was then synthesized by 
                    <italic toggle="yes">in vitro</italic> transcription from the linear DNA template using the MEGAscript&#x00ae; T7 transcription kit (Invitrogen by Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia). Transcribed RNA was quantified using the Qubit&#x2122; RNA HS Assay Kit (Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia) according to the manufacturer&#x2019;s protocol for the calculation of copy numbers and stored at -80&#x00b0;C.</p>
                <p>
                    <italic toggle="yes">
                        <bold>
                            <italic toggle="yes">Oligonucleotide primers and probes</italic>
                        </bold>
                    </italic> for the dengue virus serotype-specific RPA test were designed from the consensus sequence of the NS5 gene coding region, which is conserved across several species of flaviviruses including dengue viruses
                    <sup>
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>. The design of the consensus oligos involved the sequences of all the genotypes representing each dengue serotype, according to criteria described by the manufacturer (TwistDX). A total of 1,703, 1,313, 930 and 184 published NS5 gene sequences were aligned for DENV 1, 2, 3 and 4, respectively, to identify conserved regions in the target sequences for primer design. Primers and probes were synthesized by Bioneer Pacific (Victoria, Australia) using HPLC and PAGE purification, respectively. At least five different forward primers, three reverse primers, and two probes were designed for each of the DENV assays (
                    <xref ref-type="table" rid="T1">Table 1</xref>) and tested in various combinations using standard plasmid DNA and synthetic RNA transcripts to optimize the respective serotype-specific DENV RPA-LFD assays. Primers and probes for the universal dengue RT-qPCR test were synthesized by Integrated DNA technologies (Iowa, USA) using standard desalting and HPLC purification, respectively.</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Primer and probe sequences for the Dengue 1-4 RT-RPA/LFD test.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1" valign="top">RAPID
                                    <break/> TEST</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">NAME</th>
                                <th align="left" colspan="1" rowspan="1" valign="top">SEQUENCE</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">
                                    <bold>DENV-1</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">D1-F3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CATGGATCATATGAGGTCAARCCATCAGGATCAGC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D1-R3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' Biotin] GTCACCTCCATRATTTGTGCTGTGCCTCGTTTYGC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D1-P2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' FAM] CATGGTCACACAAATAGCYATGACTGAYAC [Internal dS Spacer] ACACCCTTYGGACAAC [3' C3 spacer] </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">
                                    <bold>DENV-2</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">D2-F3</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">GGNAGCTANGAAACAAAACANACTGGATCAGCA</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D2-R2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' FAM] GGGTTCTCGTGTCCACTTTYTCTTTRAAAACRCGC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D2-P1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' Biotin] GRYTGCTRACMAAACCTHGGGAYGTYVTYCC [Internal dS spacer] AYGGTRACACARATGG [3' C3 spacer] </td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">
                                    <bold>DENV-3</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">D3-F5</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">CTTACCAYGGATCBTATGAAGTHAARGCCACAGGC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D3-R1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' FAM] GTGTCCACTTTCTCTTTRAARACYCTYTGCTGSCC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D3-P1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' Biotin] GATAAAYGGAGTYGTGAAACTYCTCACNAA [Internal dS spacer] CCRTGGGATGTGGTKCC [3' C3 spacer]</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="3" valign="top">
                                    <bold>DENV-4</bold>
                                </td>
                                <td align="left" colspan="1" rowspan="1" valign="top">D4-F2</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">GAAGCTATGAAGCYCCYTCGACAGGCTCDGCNTCYTC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D4-R1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' FAM] GTRTCNACCTTCTCYTTRAACACTCTYTGTTGCCC</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1" valign="top">D4-P1</td>
                                <td align="left" colspan="1" rowspan="1" valign="top">[5' Biotin] GGGAYGTRRTTCCRATGGTGACYCAGTTRGC [Internal dS spacer] ATGACAGAYACAACCC [3' C3 spacer]</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Viruses and mosquitoes</title>
                <p>
                    <bold>Virus strains.</bold> The four DENVs that were used to infect mosquitoes were from stocks produced from previously described virus strains (DENV-1 ET00.243, JN415499; DENV-2 ET00.300, JN568254; DENV-3 East Timor 2000, JN575566; DENV-4 ET00.288, JN575585)
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>. Other flavivirus
                    <italic toggle="yes"/> strains originally derived from clinical isolates
                    <italic toggle="yes"/> included Zika virus (ZIKV MR766), Japanese encephalitis virus (JEV Nakayama strain), Murray Valley encephalitis virus (MVEV 1-51 strain) and West Nile virus Kunjin strain (WNV
                    <sub>KUNV </sub>NSW2011 strain). 
                    <bold>Cell culture.</bold> 
                    <italic toggle="yes">Aedes albopictus</italic> clone C6/36 cells (ATCC&#x00ae; CRL-1660&#x2122;) were cultured in RPMI 1640 medium (Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia) supplemented with L&#x2010;glutamine (2 mmol/L; Gibco by Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia), 5% heat&#x2010;inactivated fetal bovine serum (FBS; Sigma-Aldrich, New South Wales, Australia), penicillin (50 units/mL) and streptomycin (50 &#x00b5;g/mL) at 28&#x00b0;C and 5% CO
                    <sub>2</sub>. Prior to reaching confluency, the cells were treated with 0.25% trypsin solution (Gibco by Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia) and resuspended in fresh growth medium and seeded on new growth surfaces.</p>
                <p>
                    <bold>Virus culture.</bold> DENV 1&#x2013;4 strains and the other flavivirus strains were propagated to a concentration of 10
                    <sup>5</sup> to 10
                    <sup>7</sup> tissue culture infectious dose (TCID)
                    <sub>50</sub>/mL in T25 culture flasks seeded with C6/36 cells in RPMI 1640 growth media as described above, with the exception that 2% FBS was used. Seven days post infection, 2 mL of TRI Reagent (Sigma-Aldrich, New South Wales, Australia) was added to the flask preparation and swirled over the cell area for one to two minutes. To prepare the inactivated viruses for extraction the inoculum was separated into a tube and centrifuged at 3000 rpm for 10 minutes at 4&#x00b0;C to separate supernatant from cell pellet. The total RNA was extracted from the infected culture cell lysate stocks using the TRI Reagent extraction according to manufacturer&#x2019;s instructions, resuspended in nuclease-free water, quantified using a NanoDrop 2000 spectrophotometer (Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia) and stored at -80&#x00b0;C.</p>
                <p>
                    <bold>Exposure of mosquitoes to DENVs.</bold> 
                    <italic toggle="yes">Aedes aegypti</italic> (Innisfail strain) were inoculated with 200 nL of 10
                    <sup>4</sup>&#x2013;10
                    <sup>5</sup> TCID
                    <sub>50</sub>/mL of DENV 1, 3 and 4 via intrathoracic microinjection. Mosquitoes were exposed to DENV-2 via feeding on an infectious blood meal containing 10
                    <sup>7</sup> TCID
                    <sub>50</sub>/mL of virus. Mosquitoes not exposed to virus were used as uninfected controls. At eight days post-exposure, mosquitoes were anaesthetised with CO
                    <sub>2</sub> gas before being stored at -80
                    <sup>o</sup>C. Mosquito heads were severed and used for RT-qPCR testing to assess infection status, whereas the bodies were kept for rapid DENV 1&#x2013;4 testing.</p>
            </sec>
            <sec>
                <title>Mosquito sample RNA extraction and RT-qPCR testing</title>
                <p>Each of the uninfected or infected 
                    <italic toggle="yes">Aedes aegypti</italic> mosquitoes had the head separated from the body using a sterilized scalpel. Then, individual or pooled mosquito heads were manually homogenized in 150 &#x00b5;L phosphate-buffered saline (PBS) using polypropylene pestles as described previously by Li 
                    <italic toggle="yes">et al.</italic>,
                    <sup>
                        <xref ref-type="bibr" rid="ref-21">21</xref>
                    </sup>. Total RNA was extracted using the QIAmp Viral RNA Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer&#x2019;s instructions, performing a double elution using 2 x 40 &#x00b5;L buffer AVE supplied in the kit. Extracts were tested using universal DENV 1&#x2013;4 reverse-transcription quantitative PCR assay (RT-qPCR DU5 MGB2017) designed to target the capsid peptide coding region as previously described by Pyke 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-34">34</xref>
                    </sup> using the SuperScript&#x2122; III Platinum&#x2122; One-Step qRT-PCR Kit (Thermo Fisher Scientific Australia Pty Ltd, Victoria, Australia). Kit-extracted mosquito head samples were amplified in a 20 &#x00b5;L reaction containing reaction mix (1X), ROX reference dye (50 nM), SuperScript
                    <sup>TM</sup> III/Platinum
                    <sup>TM </sup>Taq Mix (1X), two forward primers (900 nM each, DU5-F1: GAAYAACCAACGRAARAAGRCG; DU5-F2: ATGAACCAACGRAARAAGGTGG) and three reverse primers (300 nM each, DU5-R13: GAGAATCTCTTCGCCAACTGTG; DU5-R2: TGAGAATCTCTTYGTCARCTGYTG; DU5-R4: GAGAATCTCTTCACCAACCCTTG), MGB probe (150 nM, DU5-MGB2017: 6FAM &#x2013; AATATGCTGAAACGCG - MGBNFQ ), nuclease free water, and 5 uL sample. An 
                    <italic toggle="yes">in vitro</italic> transcribed RNA standard (DENV-1 cap-NS5) was used for absolute quantification by RT-qPCR. Amplification was performed using the Rotorgene Q real-time thermocycler (Qiagen, Hilden, Germany). The thermal profile consisted of a five-minute RT step at 50&#x00b0;C, two-minute 
                    <italic toggle="yes">Taq</italic> polymerase activation step at 95&#x00b0;C followed by 40 cycles of PCR at 95&#x00b0;C for 15 seconds (denaturation) and 60&#x00b0;C for one minute (annealing and extension).</p>
            </sec>
            <sec>
                <title>Rapid DENV (1&#x2013;4) tests</title>
                <p>
                    <bold>
                        <italic toggle="yes">Sample processing.</italic>
                    </bold> Individual mosquito bodies were homogenized with a pestle in 50 &#x00b5;L of Sample Preparation Reagent (TNA-Cifer Reagent; BioCifer, Buderim, Australia) and incubated on ice for 10 minutes. Extracts were then immediately diluted 1:5 in RNase-free water, and 1 &#x00b5;L of this extract was used as a template for the subsequent RT-RPA reaction. For testing mosquito pools containing five mosquitoes, 125 &#x00b5;L Sample Preparation Reagent was used for homogenization, followed by 1:10 dilution in RNase-free water, to reduce the amount of potential inhibitory by-products in the mosquito homogenate
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>
                    </sup>.</p>
                <p>
                    <italic toggle="yes">
                        <bold>
                            <italic toggle="yes">DENV reverse-transcription RPA tests (DENV 1&#x2013;4 RT-RPA) for mosquito and RNA transcript testing.</italic>
                        </bold>
                    </italic> Each respective DENV 1&#x2013;4 test was prepared separately using the TwistAmp&#x2122; nfo kit (TwistDX, Cambridge, United Kingdom), with final reaction conditions of 1x rehydration buffer and 1/5 rehydrated lyophilized pellet, forward primer (420 nM), reverse primer (420 nM), and probe (120 nM). For homogenized mosquito testing, Ribolock (10 U) and Moloney Murine Leukemia virus reverse transcriptase (mMLV, 40 U) were included with the individual DENV 1&#x2013;4 RPA tests, along with 1 &#x00b5;L extracted RNA and magnesium acetate (14 mM), to a final reaction volume of 10 &#x00b5;L. For testing RNA-transcripts, betaine (120 mM) was also included with the DENV 1&#x2013;4 RT-RPA tests. Reactions were incubated at 39&#x00b0;C for 20 minutes before lateral flow detection.</p>
                <p>For plasmid DNA control testing, Ribolock, mMLV, and betaine were excluded. 1 &#x00b5;L DNA sample was added before activation by magnesium acetate (14 mM), to a final reaction volume of 10 &#x00b5;L. Reactions were incubated for 15 minutes at 39&#x00b0;C before lateral flow detection.</p>
                <p>
                    <italic toggle="yes">
                        <bold>
                            <italic toggle="yes">Lateral flow detection (LFD).</italic>
                        </bold>
                    </italic> After the RPA (DNA plasmid control) or RT-RPA (RNA transcripts and mosquitoes) incubation, 2 &#x00b5;L of the amplified RPA reaction mix was added to the sample pad of the lateral flow strip (Milenia Biotec, Giessen, Germany), which had been pre-activated by the addition of 8 &#x00b5;L 0.4% casein in PBST to the sample pad
                    <sup>
                        <xref ref-type="bibr" rid="ref-36">36</xref>
                    </sup>. Strips were then placed in 100 &#x00b5;L running buffer (100 mM H
                    <sub>3</sub>BO
                    <sub>3</sub>, 100 mM Na
                    <sub>2</sub>B
                    <sub>4</sub>O
                    <sub>7</sub>, 1% bovine serum albumin, 0.05% Tween 20, pH 8.8)
                    <sup>
                        <xref ref-type="bibr" rid="ref-37">37</xref>
                    </sup> for five minutes at room temperature, analyzed visually and photographed using a digital camera (MultiDoc-ItTM Digital Imaging System: Upland, CA, USA) or scanned using the Epson Perfection V39 Flatbed Scanner (Epson, New South Wales, Australia). On visual analysis, a single control line depicted the absence of DENV and the appearance of two lines 
                    <italic toggle="yes">i.e</italic>., a test line along with the control line indicated the presence of DENV.</p>
                <p>
                    <italic toggle="yes">
                        <bold>
                            <italic toggle="yes">Image analysis.</italic>
                        </bold>
                    </italic> Greyscale converted images were analyzed using ImageJ software (bundled with 64-bit 1.8.0_172, National Institute of Health, USA; RRID:SCR_003070)
                    <sup>
                        <xref ref-type="bibr" rid="ref-38">38</xref>
                    </sup> by measuring the mean grey value and subtracting it from the maximum grey value for a given area. The average of two neighbouring white spaces is subtracted from the band intensity to normalize the results for each test band. A sample was classified as positive when the normalized band intensity was three times higher than the standard deviation of the two neighbouring white space values
                    <sup>
                        <xref ref-type="bibr" rid="ref-39">39</xref>
                    </sup>.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Analytical sensitivity</title>
                <p>To develop rapid, low-resource, and serotype-specific DENV tests, for each DENV serotype, we designed RPA tests that targeted a conserved region within the dengue NS5 gene. Primers and probes were designed to enable subsequent lateral flow detection (LFD)
                    <sup>
                        <xref ref-type="bibr" rid="ref-36">36</xref>,
                        <xref ref-type="bibr" rid="ref-39">39</xref>,
                        <xref ref-type="bibr" rid="ref-40">40</xref>
                    </sup>, such that appearance of a test line signified positive detection of each of the DENVs. RPA primer and probe optimization was performed first using plasmid DNA and was subsequently confirmed to be suitable for reverse-transcription RPA (RT-RPA) using RNA transcripts. The analytical sensitivity of the final optimized tests was determined using 10-fold serial dilutions of both plasmid DNA (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>) and RNA-transcripts (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>); underlying data
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>. Test lines were observed by eye to appear for very low concentrations of both plasmid DNA and RNA transcripts. ImageJ analysis of test band intensity revealed the DENV 1&#x2013;4 RPA/LFD tests detected down to 100 copies/&#x00b5;L of plasmid DNA (
                    <xref ref-type="fig" rid="f1">Figures 1A&#x2013;D</xref>) and the DENV 1&#x2013;4 RT-RPA/LFD tests consistently detected down to 1,000 copies/&#x00b5;L of RNA transcripts (
                    <xref ref-type="fig" rid="f2">Figures 2A&#x2013;D</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Analytical sensitivity determination of dengue virus (DENV) 1&#x2013;4 recombinase polymerase amplification lateral flow detection (RPA-LFD) tests using plasmid DNA.</title>
                        <p>Sensitivity testing used non-structural 5 (NS5) gene fragment plasmid DNA diluted 10-fold in water for DENV-1 RPA-LFD (
                            <bold>A</bold>), DENV-2 RPA-LFD (
                            <bold>B</bold>), DENV-3 RPA-LFD (
                            <bold>C</bold>) and DENV-4 RPA-LFD (
                            <bold>D</bold>). Images of lateral flow strips (LFS) with two bands (control and test band) indicates the sample is positive for respective DENV plasmid DNA, and single control band indicates a valid reaction with negative sample. Photograph of lateral flow strips with control bands (all samples) and test bands (positive samples) compared to copy number of serially diluted plasmid DNA (copies/&#x03bc;L) and no template control (NTC) (left). Normalised pixel density (normalised black values) from the lateral flow test strip displayed (middle). Positive (Pos.) results compared to number (No.) of samples tested at that dilution was used to calculate the percentage of positive tests performed at that dilution (right).</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure1.gif"/>
                </fig>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Analytical sensitivity determination of dengue virus (DENV) 1&#x2013;4 reverse-transcription recombinase polymerase amplification lateral flow detection (RT-RPA/LFD) tests using reverse transcribed RNA. </title>
                        <p>Sensitivity testing used non-structural 5 (NS5) gene fragment RNA transcripts diluted 10-fold in water for DENV-1 RT-RPA/LFD (
                            <bold>A</bold>), DENV-2 RT-RPA/LFD (
                            <bold>B</bold>), DENV-3 RT-RPA/LFD (
                            <bold>C</bold>) and DENV-4 RT-RPA/LFD (
                            <bold>D</bold>). Images of lateral flow strips (LFS) with two bands (control and test band) indicates the sample is positive for respective DENV synthetic RNA transcript, and single control band indicates a valid reaction with negative sample. Photograph of lateral flow strips with control bands (all samples) and test bands (positive samples) compared to copy number of serially diluted template RNA (copies/&#x03bc;L) and no template control (NTC) (left). Normalised pixel density (normalised black values) from the lateral flow test strip displayed (middle). Positive (Pos.) samples compared to number (No.) of samples tested at that dilution was used to calculate the percentage of positive tests performed at that dilution (right).</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure2.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Analytical specificity</title>
                <p>To confirm the specificity of the DENV 1&#x2013;4 RT-RPA/LFD assays, tests were performed using high concentrations (10
                    <sup>5</sup> copies/&#x00b5;L) of RNA transcripts from each of the four DENVs. For each assay, a strong test band indicated that each test was specific to its virus specific target and did not detect any of the other three DENVs (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>; underlying data
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>). We also confirmed the DENV-specific tests could not detect other flaviviruses by trialling detection of RNA extracted from ZIKV, JEV, MVEV, and WNV
                    <sub>KUN</sub> cell culture supernatant (5&#x2013;7 log
                    <sub>10 </sub>TCID
                    <sub>50</sub>/ml) (
                    <xref ref-type="fig" rid="f4">Figure 4</xref>; underlying data
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>). No test lines appeared when any of the respective flaviviral RNA-extracts were applied to any of the DENV 1&#x2013;4 RT-RPA/LFD tests, indicating that the assays were 100% specific to the respective DENVs they were designed to detect.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Analytical specificity trials of  dengue virus (DENV) 1&#x2013;4 reverse-transcription recombinase polymerase amplification lateral flow detection (RT-RPA/LFD) tests using reverse transcribed RNA.</title>
                        <p>Non-structural 5 (NS5) gene fragment RNA transcripts specific to each DENV serotype were tested for detection by each  specific RT-RPA/LFD test: DENV-1 (
                            <bold>A</bold>), DENV-2 (
                            <bold>B</bold>), DENV-3 (
                            <bold>C</bold>) and DENV-4 (
                            <bold>D</bold>). Images of lateral flow strips (LFS) with two bands (control and test band) indicates the sample is positive for respective DENV RNA, and single control band indicates a valid reaction with negative sample (left). Normalised pixel density (black values) from the lateral flow test strip test bands of each DENV template RNA (10
                            <sup>5</sup> copies/&#x03bc;L) and no template control (NTC) displayed (middle). Positive (Pos.) samples compared to number (No.) of samples tested were used to calculate percentage of positive samples (right).</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure3.gif"/>
                </fig>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Analytical specificity testing of dengue virus (DENV) 1&#x2013;4 reverse-transcription recombinase polymerase amplification lateral flow detection (RT-RPA/LFD) tests against other flavivirus RNA extracts.</title>
                        <p>Specificity was tested using viral RNA extracts from the flaviviruses Zika virus (ZIKV), Murray Valley encephalitis virus (MVEV), West Nile virus Kunjin strain (WNV
                            <sub>KUN</sub>) and Japanese encephalitis virus (JEV) for DENV-1 (
                            <bold>A</bold>), DENV-2 (
                            <bold>B</bold>), DENV-3 (
                            <bold>C</bold>) and DENV-4 (
                            <bold>D</bold>) RT-RPA/LFD assays. Images of lateral flow strips (LFS) with two bands (control and test band) indicates the sample is positive for respective DENV synthetic RNA transcript, and single control band indicates a valid reaction with negative sample. Nuclease-free water was tested as the no template control (NTC; left). Normalised pixel density (black values) from the assay displayed (middle). Positive (Pos.) samples compared to number (No.) of samples tested using different viral RNA extracts were used to calculate percentage of positive samples (right).</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure4.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Detection of dengue-infected mosquitoes</title>
                <p>To apply our DENV 1&#x2013;4 RT-RPA/LFD assays for mosquito surveillance in low resource settings, we developed a novel method to quickly process mosquitoes for subsequent molecular testing in a format that did not require sophisticated laboratory-based instruments. Our method required only a novel liquid Sample Preparation Reagent, as well as a pestle and microfuge tube for homogenizing the mosquitoes. After 10 minutes incubation on ice, the homogenate was diluted, before 1 &#x00b5;L was used for downstream testing. The combined steps of sample preparation, sample dilution, RT-RPA, and LFD, formed the final version of our rapid DENV 1&#x2013;4 serotyping tests. We trialled these rapid tests for the detection of DENV-infected and uninfected 
                    <italic toggle="yes">Aedes aegypti</italic> mosquitoes (
                    <xref ref-type="fig" rid="f5">Figure 5</xref>; underlying data
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>). DENV 1&#x2013;3 RT-RPA/LFD tests showed 100% congruence with qRT-PCR testing of individual infected (n=8&#x2013;10) and uninfected mosquitoes (n=5) with 100% diagnostic sensitivity (95% CI= 69% to 100%), as well as 100% diagnostic specificity (CI: 48% to 100%) for respective DENV detection. All except one of the infected mosquitoes that tested positive with qRT-PCR was not detected with DENV 4 RT-RPA/LFD test (11 out of 12 mosquitoes). These results indicated our rapid DENV-4 test had 92% (62% to 100%) diagnostic sensitivity and 100% (CI: 48&#x2013;100%) diagnostic specificity for respective DENV detection.</p>
                <fig fig-type="figure" id="f5" orientation="portrait" position="float">
                    <label>Figure 5. </label>
                    <caption>
                        <title>Detection of uninfected and infected individual mosquitoes by rapid dengue virus (DENV) 1&#x2013;4 reverse-transcription recombinase polymerase amplification lateral flow detection (RT-RPA/LFD) assays and reverse-transcription quantitative polymerase chain reaction (RT-qPCR). </title>
                        <p>Sample: Individual mosquitoes infected with DENV-1, DENV-2, DENV-3, DENV-4; Mosquito ID: Serotype-specific mosquito identification (ID) number; RT-qPCR: concentration (copies/&#x00b5;L) of each mosquito head extract tested and corresponding result (+/-); RT-RPA/LFD: Image of lateral flow strip (LFS) result from RT-RPA/LFD testing the corresponding mosquito body extract using the respective serotype RT-RPA/LFD test [Images of lateral flow strips with two bands (control and test band) indicates the sample is positive for respective DENV, and single control band indicates a valid reaction with negative sample]; Blank normalized (Norm.) black pixel value from the lateral flow strip and corresponding result (+/-); Number of mosquitoes that tested positive (Pos.) compared to the total number (No.) of mosquitoes tested with the respective DENV assay; and Sensitivity of the RT-RPA/LFD assay with 95% confidence interval (CI). *One representative lateral flow strip shown for uninfected mosquito samples.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure5.gif"/>
                </fig>
                <p>Following the analysis of individual mosquitoes, we also trialled the detection of DENV 1&#x2013;4 in pools of mosquitoes containing one DENV infected and four uninfected 
                    <italic toggle="yes">Aedes aegypti</italic> mosquitoes. We used the respective virus-specific RT-RPA/LFD for testing the pooled mosquito bodies and the universal DENV 1&#x2013;4 RT-qPCR for testing the pooled mosquito heads as described above (
                    <xref ref-type="fig" rid="f6">Figure 6</xref>; underlying data
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>). Our pooled mosquito testing results indicated that DENV 2&#x2013;4 RT-RPA/LFD tests showed 100% congruence with qRT-PCR testing with 100% diagnostic sensitivity (95% CI= 69% to 100%), as well as 100% diagnostic specificity (CI: 48% to 100%) for respective DENV detection. Whereas DENV-1 RT-RPA/LFD detected all but one of the infected mosquito pools that tested positive with qRT-PCR (nine out of 10). These results demonstrate 90% diagnostic sensitivity (95% CI= 55.50% to 99.75%) for our rapid DENV-1 test compared to RT-qPCR, as well as 100% diagnostic specificity.</p>
                <fig fig-type="figure" id="f6" orientation="portrait" position="float">
                    <label>Figure 6. </label>
                    <caption>
                        <title>Detection of uninfected and infected mosquito pools by rapid dengue virus (DENV) 1&#x2013;4 reverse-transcription recombinase polymerase amplification lateral flow detection (RT-RPA/LFD) assays and reverse-transcription quantitative polymerase chain reaction (RT-qPCR). </title>
                        <p>Sample: Pools containing 1 infected DENV-1, DENV-2, DENV-3, or DENV-4 in a pool of 4 uninfected mosquitoes; Pool ID: Serotype-specific mosquito pool identification (ID) number; RT-qPCR: concentration (copies/&#x00b5;L) of respective pooled mosquito head extracts tested and corresponding result (+/-); RT-RPA/LFD: Image of lateral flow strip (LFS) result from RT-RPA/LFD testing the corresponding pooled mosquito body extracts using the respective serotype RT-RPA/LFD test [Images of lateral flow strips with two bands (control and test band) indicates the sample is positive for respective DENV, and single control band indicates a valid reaction with negative sample]; Blank normalized (Norm.) black pixel value from the lateral flow strip and corresponding result (+/-); Number of mosquito pools that tested positive (Pos.) compared to the total number (No.) of mosquito pools  tested with the respective DENV assay; and Sensitivity of the RT-RPA/LFD assay with 95% confidence interval (CI). *One representative lateral flow strip shown for uninfected mosquito pool samples.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://gatesopenresearch-files.f1000.com/manuscripts/14799/5c2cbb19-29ad-4ca3-b4fc-f37001ce6c1a_figure6.gif"/>
                </fig>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>Early detection and identification of DENVs in mosquito populations help determine the infection rate in a mosquito population, indicate the potential for disease outbreaks, and inform control strategies
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. While methods such as virus isolation, DENV antigen detection, and RT-qPCR
                <sup>
                    <xref ref-type="bibr" rid="ref-42">42</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-45">45</xref>
                </sup> are commonly applied for virological surveillance, their inherent infrastructural requirements preclude field implementation, leaving a currently unfulfilled gap for on-site virological surveillance in mosquitoes. In this study, we developed four rapid tests that specifically detect each of the four DENVs in a simple low-resource format, thus facilitating virus detection in mosquito field populations. These tests use a novel rapid sample preparation protocol, a single-temperature isothermal amplification technology (RT-RPA), and simple lateral flow-based detection (LFD) to enable detection of the respective DENV in 35 minutes. These assays have the potential to be used for accurate virological surveillance in mosquitoes without expensive laboratory equipment and the waiting periods involved in sample shipment and testing in a central laboratory. Moreover, the four tests did not detect any closely related flaviviruses presenting with similar clinical symptoms, indicating that the tests are specific to DENV 1&#x2013;4.</p>
            <p>One of the key novelties of our tests is the unique sample preparation method that enables rapid virus detection in crude mosquito extracts suitable for use in a low-resource environment. Preparing samples for nucleic acid testing is a critical step for any field-based mosquito surveillance method, particularly for molecular tests that traditionally require high purity of samples. Previously reported molecular tests employed several mosquito pre-treatment steps such as manual grinding using pestles
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>,
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-20">20</xref>,
                    <xref ref-type="bibr" rid="ref-23">23</xref>,
                    <xref ref-type="bibr" rid="ref-46">46</xref>
                </sup>, lab-scale milling homogenizers
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup> and sample disruptors
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup> followed by the use of expensive commercial RNA extraction reagents and kits, with their time-consuming procedures. These kits restrict sample preparation to labour-intensive, laboratory-based testing, where access to robots, centrifuges and/or vacuum manifolds are available. Contrarily, our rapid and simple protocol reduces sample preparation time to only 10 minutes, involving a single step homogenization in a liquid reagent followed by dilution in RNAse-free water. It alleviates the need for multiple extraction steps and further purification of the extracts. In addition to the rapid sample preparation, our test employs RPA, which has been demonstrated field-applicable for DENV detection in clinical samples using a portable fluorometer, and the studies suggested that RPA is efficient, robust and has high new user acceptance
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>,
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>. By combining our sample preparation with RPA and lateral flow, we describe for the first time a complete method for field-based testing of mosquitoes for detection of the four DENVs. Indeed, further work is required to evaluate the performance and operational utility of these tests in field trials in locations where DENVs are circulating.</p>
            <p>In our study, we used an nfo probe for lateral flow-based detection and distinction between all four DENV serotypes. Nfo probes are intended for detection based on sandwich assays on lateral flow strips, and comprise of a 5&#x2019; antigenic label (fluorescein), an internal abasic site (dSpacer or tetrahydrofuran residue) and a 3&#x2019; polymerase extension blocking group (C3 Spacer)
                <sup>
                    <xref ref-type="bibr" rid="ref-47">47</xref>
                </sup>. The double strand specific endonuclease IV (nfo enzyme) recognizes and cleaves at the abasic site of the nfo probe only once it is bound to the complementary DNA to form a stable DNA duplex. The cleavage results in generation of a free 3&#x2019; OH end and the incised probe then acts as a priming site for the extension by the DNA polymerase. Thus, the nfo probe provides additional specificity to the RPA reaction by adding a critical proofreading step and reduces primer-dependent artifacts
                <sup>
                    <xref ref-type="bibr" rid="ref-48">48</xref>
                </sup>. The majority of previous RPA-based studies have used real-time RT-RPA for detection of all four DENV serotypes with an exo probe testing human samples, but did not distinguish between DENV 1&#x2013;4
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>,
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>. One of the reported assays had a detection threshold of about 10&#x2013;100 copies of DENV RNA from infected cell culture supernatants, with clinical sensitivity and specificity of 77.0% and 97.9% (n=203) in serum samples, respectively
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>
                </sup>. Another study reported two separate RT-RPA assays for the detection of DENV 1&#x2013;3 and DENV-4 in plasma, with clinical sensitivity and specificity of 98% (n=31) and 100% (n=23), respectively
                <sup>
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. The only other study that used RT-RPA in combination with LFD using nfo-probe developed two different assays to detect DENV 1&#x2013;3 and 4 separately in clinical samples (n=120) with a 100% coincidence rate with RT-PCR
                <sup>
                    <xref ref-type="bibr" rid="ref-31">31</xref>
                </sup>. Our rapid RT-RPA/LFD dengue tests were 100% accurate compared to RT-PCR for both individual and mosquito pools containing at least 10
                <sup>3</sup> copies/&#x00b5;L, except DENV-4 was not detected in a single individual mosquito and DENV-1 was not detected in a single pool containing an infected mosquito. Variation in DENV-4 individual mosquito testing could be due to experimental error, whereas the false negative in the DENV-1 pool may be attributed to low viral concentration.</p>
            <p>Vector-based identification of individual DENV serotypes co-circulating in an area is vital since all DENV serotypes can cause dengue and severe dengue (SD), and evidence indicates an association between specific DENVs and severity of the disease in subsequent DENV infection
                <sup>
                    <xref ref-type="bibr" rid="ref-49">49</xref>
                </sup>. However, the previously reported RT-RPA tests do not differentiate between individual DENVs, which is a crucial factor in vector-based surveillance. The versatility of the virus-specific tests reported in this study can help identify the potential for outbreaks of the different DENVs. The four dengue viruses share about 65% genome similarity
                <sup>
                    <xref ref-type="bibr" rid="ref-50">50</xref>
                </sup>. Consequently, test specificity is crucial to identify and distinguish between DENVs, as well as other closely related viruses. DENV 1&#x2013;4 RT-RPA/LFD tests demonstrated 100% analytical specificity (95% CI: 48% to 100%) with respective serotype-specific RNA at 10
                <sup>5</sup> copies/&#x00b5;L of RNA transcripts.</p>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>In conclusion, we developed rapid tests for detecting each of the four DENVs and demonstrated their suitability for surveillance of viruses in mosquito populations in limited resource settings. We determined the analytical sensitivities of each DENV 1&#x2013;4 RT-RPA/LFD test to be at least 1000 copies/&#x00b5;L and confirmed all four tests only detected the DENV they were designed to detect and not any other DENV or related flaviviruses. DENV 1&#x2013;4 RT-RPA/LFD tests also demonstrated excellent diagnostic sensitivity and specificity when applied to individual and pooled infected 
                <italic toggle="yes">Ae. aegypti</italic> mosquitoes compared to a universal dengue RT-qPCR. DENV 1&#x2013;4 RT-RPA/LFD tests have several advantages compared with conventional methods such as RT-PCR, such as procedural simplicity, rapid sample processing and turnaround time (40 minutes from extraction to detection) and minimal equipment that demonstrates the potential of these tests for field implementation in virus surveillance in mosquito vectors. Since the emergence and spread of severe dengue disease can be attributed to the co-circulation of different DENVs, the early detection of each virus can help to identify the potential for a possible outbreak, and implement timely mitigation strategies. Future field-based trials of the rapid DENV serotyping tests in locations where DENVs are circulating can help establish the operational suitability of these tests for field-caught mosquitoes. If proven successful, the rapid DENV 1&#x2013;4 RT-RPA/LFD tests can provide an accurate, easy and robust alternative testing method for low-resource DENV surveillance.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Underlying data</title>
                <p>Dryad: Underlying data for &#x2018;Rapid molecular assays for the detection of the four dengue viruses in infected mosquitoes&#x2019;. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.5061/dryad.kd51c5b7d">https://doi.org/10.5061/dryad.kd51c5b7d</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>
                </p>
                <p>This project contains the following underlying data:</p>
                <list list-type="bullet">
                    <list-item>
                        <p>Underlying data for Figure 1 &#x2013; DENV 1&#x2013;4 DNA sensitivity test</p>
                    </list-item>
                    <list-item>
                        <p>Underlying data for Figure 2 &#x2013; DENV 1&#x2013;4 RNA sensitivity test</p>
                    </list-item>
                    <list-item>
                        <p>Underlying data for Figure 3 &#x2013; DENV 1&#x2013;4 specificity test</p>
                    </list-item>
                    <list-item>
                        <p>Underlying data for Figure 4 &#x2013; DENV 1&#x2013;4 flavivirus (FV) specificity test</p>
                    </list-item>
                    <list-item>
                        <p>Underlying data for Figure 5 &#x2013; DENV 1&#x2013;4 Individual mosquito testing</p>
                    </list-item>
                    <list-item>
                        <p>Underlying data for Figure 6 &#x2013; DENV 1&#x2013;4 Pooled mosquito testing</p>
                    </list-item>
                </list>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/publicdomain/zero/1.0/">Creative Commons Zero &#x201c;No rights reserved&#x201d; data waiver</ext-link> (CC0 1.0 Public domain dedication).</p>
            </sec>
            <sec>
                <title>Accession numbers</title>
                <p>NCBI Genome: Dengue virus 1 isolate. Accession number GU131962.1, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/GU131962.1">https://www.ncbi.nlm.nih.gov/nuccore/GU131962.1</ext-link>
                </p>
                <p>NCBI Genome: Dengue virus 1 isolate. Accession number KF973466.1,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/KF973466.1">https://www.ncbi.nlm.nih.gov/nuccore/KF973466.1</ext-link>
                </p>
                <p>NCBI Genome: Dengue virus 2. Accession number NC_001474.2,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/NC_001474.2">https://www.ncbi.nlm.nih.gov/nuccore/NC_001474.2</ext-link>
                </p>
                <p>NCBI Genome: Dengue virus 3 isolate. Accession number KF921921.1,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/KF921921.1">https://www.ncbi.nlm.nih.gov/nuccore/KF921921.1</ext-link>
                </p>
                <p>NCBI Genome: Dengue virus 4 isolate. Accession number JF262780.1,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JF262780.1">https://www.ncbi.nlm.nih.gov/nuccore/JF262780.1</ext-link>
                </p>
                <p>NCBI Genome: Zika virus culture ATCC:VR-84 isolate MR766. Accession number KX830960, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/KX830960.1">https://www.ncbi.nlm.nih.gov/nuccore/KX830960.1</ext-link>
                </p>
                <p>NCBI Genome: Japanese encephalitis virus strain Nakayama. Accession number EF571853.1, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/EF571853.1">https://www.ncbi.nlm.nih.gov/nuccore/EF571853.1</ext-link>
                </p>
                <p>NCBI Genome: Murray Valley encephalitis virus strain MVE-1-51. Accession number AF161266,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/AF161266">https://www.ncbi.nlm.nih.gov/nuccore/AF161266</ext-link>
                </p>
                <p>NCBI Gene: West Nile virus isolate NSW2011. Accession number JN887352, 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JN887352">https://www.ncbi.nlm.nih.gov/nuccore/JN887352</ext-link>
                </p>
                <p>NCBI Gene: Dengue virus 1 isolate. Accession number JN415499,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JN415499">https://www.ncbi.nlm.nih.gov/nuccore/JN415499</ext-link>
                </p>
                <p>NCBI Gene: Dengue virus 2 isolate. Accession number JN568254,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JN568254">https://www.ncbi.nlm.nih.gov/nuccore/JN568254</ext-link>
                </p>
                <p>NCBI Gene: Dengue virus 3 isolate. Accession number JN575566,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JN575566">https://www.ncbi.nlm.nih.gov/nuccore/JN575566</ext-link>
                </p>
                <p>NCBI Gene: Dengue virus 4 isolate. Accession number JN575585,</p>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/JN575585">https://www.ncbi.nlm.nih.gov/nuccore/JN575585</ext-link>
                </p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We wish to thank Alyssa Pyke (Public Health Virology, Forensic and Scientific Services, Department of Health, Queensland Government) for providing the dengue stocks and Sonja Hall-Mendelin (Public Health Virology, Forensic and Scientific Services, Department of Health, Queensland Government) for assisting with the mosquito infections. This paper includes research that was supported by DMTC Limited (Australia). The authors have prepared this paper in accordance with the intellectual property rights granted to partners from the original DMTC project. DMTC Limited is a research company that runs multiparty collaborative research projects. A project has been conducted with University of Sunshine Coast and BioCifer whereby a licence has been issued to BioCifer with regards to Project IP. This publication contains Project IP, and BioCifer and University of Sunshine Coast have been issued with the rights to publish the Project IP.</p>
        </ack>
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    <sub-article article-type="reviewer-report" id="report32736">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14799.r32736</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Muskus-L&#x00f3;pez</surname>
                        <given-names>Carlos Enrique</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32736a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-4280-5627</uri>
                </contrib>
                <aff id="r32736a1">
                    <label>1</label>Program for the Study and Control of Tropical Diseases&#x2014;PECET, Faculty of Medicine, University of Antioquia, Medellin, Colombia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>21</day>
                <month>11</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Muskus-L&#x00f3;pez CE</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32736" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13534.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>
                <bold>Manuscript evaluation:</bold>
            </p>
            <p> </p>
            <p> This manuscript shows the design and standardization of a molecular method based on isothermal PCR (Recombinase polymerase amplification or RPA) for the detection and identification of each of the 4 dengue serotypes that infect humans. Additionally, this amplification protocol is combined with a rapid RNA extraction protocol, as well as a reaction development system, based on lateral flow.</p>
            <p> </p>
            <p> The work is interesting in light of having rapid and cheap diagnostic methods for a disease like dengue, which affects a large number of people in tropical and subtropical areas around the world; but also to monitor the circulation of the different dengue serotypes in the vectors associated with its transmission, which would allow epidemiological surveillance and prediction of possible epidemic outbreaks or dengue complications, if more than one serotypes is circulating in a specific area. Finally, the other interesting thing is the ease of implementing this molecular method of dengue detection in endemic areas with little availability of resources.</p>
            <p> </p>
            <p> Despite the interestingness of the work, some doubts or comments arise after reviewing the manuscript and which I mention here immediately: 
                <list list-type="order">
                    <list-item>
                        <p>In the introduction, second paragraph, it is mentioned that the methods for the surveillance of dengue in mosquitoes include, virus isolation
                            <sup>10&#x2013;12</sup>, antigen detection
                            <sup>13</sup>, and molecular testing using either conventional
                            <sup>14&#x2013;17</sup> or reverse-transcription quantitative polymerase chain reaction (RT-qPCR )
                            <sup>18&#x2013;20</sup> or isothermal amplification. However, it is mentioned that these methods (including isothermal amplification) are limited by the need for sophisticated equipment and expensive infrastructure, however, the authors contradict themselves later in the text (introduction, Paragraph 3) when they mention that RPA, which is an isothermal amplification method, does not require sophisticated equipment (ref 25), which is true.</p>
                    </list-item>
                    <list-item>
                        <p>The authors mention that at least five different forward primers, three reverse primers, and two probes were designed for each of the DENV assays and cite table 1. However, table 1 shows only the selected primers and probe combinations out of the several primers and probes initially designed and tested.</p>
                    </list-item>
                    <list-item>
                        <p>It is not clear, why mosquitoes exposed to DENV-2 were infected via feeding on infectious blood meal containing the virus while the rest of the DENV virus were infected via intrathoracic microinjections?</p>
                    </list-item>
                    <list-item>
                        <p>What do you think is the reason why the analytical sensitivity determined from plasmids is much better than from RNA? And if this could have implications for using this method to detect dengue virus in humans, where the starting material is just RNA?</p>
                    </list-item>
                    <list-item>
                        <p>In the title of Figures 2 and 3 (the text in bold), it is mentioned that the RT-RPA/LFD was run using reverse-transcribed RNA. However, reverse-transcribed RNA literally is cDNA and if I understood well, your starting material in the RT-RPA is just in vitro transcribed RNA from the plasmid, which is different to reverse-transcribed RNA. Of course, during the RT-RPA the RNA is converted in cDNA, just before the amplification.</p>
                    </list-item>
                    <list-item>
                        <p>In addition, in the legend of this figure 2, synthetic RNA is mentioned. What do you exactly mean with synthetic RNA? The RNA obtained by in vitro transcription? Because nothing is mentioned about synthetic RNA in materials and methods.</p>
                    </list-item>
                    <list-item>
                        <p>In the discussion, it is annotated, &#x201c;that contrarily, our rapid and simple protocol reduces sample preparation time to only 10 minutes&#x201d;. This is for preparing how many samples? Maybe 10 minutes might result relative, because if many samples are going to be evaluated (for example in a dengue surveillance study in mosquitoes), this could be time consuming, because of the considerable number of samples to evaluate.</p>
                    </list-item>
                </list> </p>
            <p> 
                <bold>Minor suggestions:</bold> 
                <list list-type="order">
                    <list-item>
                        <p>In Materials and methods; in the plasmid section, the fragment size for DENV-3 (KF921921.1) is missing. In contrast, for the other DENV viruses, the size of the segments is indicated in parentheses.</p>
                    </list-item>
                </list>
            </p>
            <p>Is the rationale for developing the new method (or application) clearly explained?</p>
            <p>Yes</p>
            <p>Is the description of the method technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions about the method and its performance adequately supported by the findings presented in the article?</p>
            <p>Yes</p>
            <p>If any results are presented, are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Are sufficient details provided to allow replication of the method development and its use by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>Molecular Biology, Molecular Diagnosis</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment3587-32736">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Macdonald</surname>
                            <given-names>Joanne</given-names>
                        </name>
                        <aff>University of the Sunshine Coast, Australia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>6</day>
                    <month>12</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>The authors would like to thank the reviewer for their thorough reading of our manuscript and insightful comments. Our responses are below.&#x00a0;</p>
                <p> </p>
                <p> 
                    <bold>1.</bold> In the introduction, second paragraph, it is mentioned that the methods for the surveillance of dengue in mosquitoes include, virus isolation10&#x2013;12, antigen detection13, and molecular testing using either conventional14&#x2013;17 or reverse-transcription quantitative polymerase chain reaction (RT-qPCR )18&#x2013;20 or isothermal amplification. However, it is mentioned that these methods (including isothermal amplification) are limited by the need for sophisticated equipment and expensive infrastructure, however, the authors contradict themselves later in the text (introduction, Paragraph 3) when they mention that RPA, which is an isothermal amplification method, does not require sophisticated equipment (ref 25), which is true.</p>
                <p> </p>
                <p> 
                    <bold>Response: </bold>We thank the reviewer for their detailed review of our manuscript. The text in paragraph 1 has now been edited to:&#x00a0;</p>
                <p> 
                    <italic>&#x201c;
                        <bold>Apart from isothermal amplification</bold>, these techniques
                        <bold>&#x00a0;</bold>can be limited in their implementation due to issues with sensitivity or specificity, or because they require sophisticated instruments and laboratory infrastructure that is not readily available in resource-limited countries where DENVs exert their greatest toll.&#x201d;</italic>
                </p>
                <p> 
                    <bold>2.</bold> The authors mention that at least five different forward primers, three reverse primers, and two probes were designed for each of the DENV assays and cite table 1. However, table 1 shows only the selected primers and probe combinations out of the several primers and probes initially designed and tested.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> We agree that the citation suggests the table would contain the sequence of all primers and probes. We have now changed the position of the citation to suggest that the table contains only the finalised combinations:</p>
                <p> 
                    <italic>&#x201c;At least five different forward primers, three reverse primers, and two probes were designed for each of the DENV assays and tested in various combinations using standard plasmid DNA and synthetic RNA transcripts to optimize the respective serotype specific DENV RPA-LFD assays
                        <bold>, which use selected primer and probe sequences (Table 1).&#x201d;</bold>
                    </italic>
                </p>
                <p> 
                    <italic>Table 1. 
                        <bold>Selected p</bold>rimer and probe sequences for the Dengue 1-4 RT-RPA/LFD test.</italic>
                </p>
                <p> </p>
                <p> 
                    <bold>3. </bold>It is not clear, why mosquitoes exposed to DENV-2 were infected via feeding on infectious blood meal containing the virus while the rest of the DENV virus were infected via intrathoracic microinjections?</p>
                <p> </p>
                <p> 
                    <bold>Response: </bold>To clarify why 2 different methods were used to expose mosquitoes to the viruses, we modified the sentence &#x201c;
                    <italic>Mosquitoes were exposed to DENV-2 via feeding on an infectious blood meal containing 10
                        <sup>7</sup>&#x00a0;TCID
                        <sub>50</sub>/mL of virus.</italic>&#x201d; To read as &#x201c;
                    <italic>Mosquitoes were exposed to DENV-2 via feeding on an infectious blood meal containing 10
                        <sup>7</sup>&#x00a0;TCID
                        <sub>50</sub>/mL of virus, 
                        <bold>as part of previously reported experiments (Hall-Mendelin et al. 2021)</bold>
                    </italic>&#x201d;. The reference has been added to the reference list.</p>
                <p> </p>
                <p> 
                    <bold>4.</bold> What do you think is the reason why the analytical sensitivity determined from plasmids is much better than from RNA? And if this could have implications for using this method to detect dengue virus in humans, where the starting material is just RNA?</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> We thank the reviewer for the opportunity to further discuss the results of RNA detection compared to plasmid detection. This question has now been addressed in the discussion.</p>
                <p> 
                    <italic>&#x201c;Our rapid RT-RPA/LFD dengue tests were 100% accurate compared to RT-PCR for both individual and mosquito pools containing at least 10
                        <sup>3</sup> copies/&#x00b5;L. 
                        <bold>We do note that analytical sensitivity determined from plasmids in 15 minutes was tenfold better than detection of RNA transcripts in 20 minutes, suggesting a lower relative efficiency of the mMLV reverse transcriptase generating cDNA from an RNA template. This reduction in sensitivity did not appear to affect detection, although</bold> DENV-4 was not detected in a single individual mosquito and DENV-1 was not detected in a single pool containing an infected mosquito. Variation in DENV-4 individual mosquito testing could be due to experimental error, whereas the false negative in the DENV-1 pool may be attributed to low viral concentration.&#x201d;</italic>
                </p>
                <p> </p>
                <p> 
                    <bold>5. </bold>In the title of Figures 2 and 3 (the text in bold), it is mentioned that the RT-RPA/LFD was run using reverse-transcribed RNA. However, reverse-transcribed RNA literally is cDNA and if I understood well, your starting material in the RT-RPA is just in vitro transcribed RNA from the plasmid, which is different to reverse-transcribed RNA. Of course, during the RT-RPA the RNA is converted in cDNA, just before the amplification.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> We thank the reviewer for this comment. We have now replaced the term &#x2018;reverse&#x2019; transcribed RNA&#x2019; with &#x2018;in vitro&#x2019; transcribed RNA in both the figure legends.</p>
                <p> </p>
                <p> 
                    <bold>6.</bold> In addition, in the legend of this figure 2, synthetic RNA is mentioned. What do you exactly mean with synthetic RNA? The RNA obtained by in vitro transcription? Because nothing is mentioned about synthetic RNA in materials and methods.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> Yes, the term synthetic RNA was used interchangeably for the RNA obtained by in vitro transcription. The term has now been excluded and replaced with in-vitro transcribed RNA as described above to avoid confusion.</p>
                <p> 
                    <bold>7.</bold> In the discussion, it is annotated, &#x201c;that contrarily, our rapid and simple protocol reduces sample preparation time to only 10 minutes&#x201d;. This is for preparing how many samples? Maybe 10 minutes might result relative, because if many samples are going to be evaluated (for example in a dengue surveillance study in mosquitoes), this could be time consuming, because of the considerable number of samples to evaluate.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> We appreciate the reviewer for pointing this out. We have addressed the timing of larger sample sizes in the discussion.</p>
                <p> </p>
                <p> &#x201c;
                    <italic>By combining our sample preparation with RPA and lateral flow, we describe for the first time a complete method for field-based testing of mosquitoes for detection of the four DENVs. Further work is required to evaluate the performance and operational utility of these tests in field trials in locations where DENVs are circulating. 
                        <bold>However, we note that even when processing up to 20 individual mosquitoes or pools in parallel with traditional RNA extraction and RT-PCR, we were able to obtain our rapid test results for all 20 samples before a traditional column-based RNA extraction was completed.&#x201d; </bold>
                    </italic>
                </p>
                <p> </p>
                <p> 
                    <bold>Minor suggestions:</bold>
                </p>
                <p>
                    <bold> 1.</bold> In Materials and methods; in the plasmid section, the fragment size for DENV-3 (KF921921.1) is missing. In contrast, for the other DENV viruses, the size of the segments is indicated in parentheses.</p>
                <p> </p>
                <p> 
                    <bold>Response:</bold> We appreciate the reviewer for pointing this out. The fragment size has now been added in parentheses.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report32271">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/gatesopenres.14799.r32271</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Paradkar</surname>
                        <given-names>Prasad N.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r32271a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6553-2214</uri>
                </contrib>
                <aff id="r32271a1">
                    <label>1</label>Australian Centre for Disease Preparedness, CSIRO Health &amp; Biosecurity, Geelong, Vic, Australia</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>15</day>
                <month>8</month>
                <year>2022</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2022 Paradkar PN</copyright-statement>
                <copyright-year>2022</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport32271" related-article-type="peer-reviewed-article" xlink:href="10.12688/gatesopenres.13534.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The article by Ahmed 
                <italic>et al. </italic>provides a novel rapid molecular assay based on RT-RPA for detecting DENV in infected mosquitoes. There is a need to effectively monitor the circulation of the dengue virus in low-resource regions.&#x00a0;</p>
            <p> </p>
            <p> TRT-RPA has previously been used to detect dengue virus from samples. Here the authors have used a simplified and rapid sample processing method, RPA which distinguishes between the serotypes and lateral flow device for easy detection/visualisation. The results showed very high sensitivity and specificity of DENV detection from mosquitoes. Although the number of mosquitoes used for detection was low (8-10 mosquitoes), this provides a pilot testing platform that can be scaled for further validation. This method should also be tested in the field (or using filed samples) for testing suitability.</p>
            <p> </p>
            <p> The methods are described in detail with sufficient information provided for reproducibility.</p>
            <p> </p>
            <p> The manuscript offers a suitable method for improving mosquito dengue surveillance efforts in low-resource regions.</p>
            <p>Is the rationale for developing the new method (or application) clearly explained?</p>
            <p>Yes</p>
            <p>Is the description of the method technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions about the method and its performance adequately supported by the findings presented in the article?</p>
            <p>Yes</p>
            <p>If any results are presented, are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Are sufficient details provided to allow replication of the method development and its use by others?</p>
            <p>Yes</p>
            <p>Reviewer Expertise:</p>
            <p>mosquito-borne diseases, dengue, surveillance, vector-borne disease transmission</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.</p>
        </body>
        <sub-article article-type="response" id="comment3586-32271">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Macdonald</surname>
                            <given-names>Joanne</given-names>
                        </name>
                        <aff>University of the Sunshine Coast, Australia</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>6</day>
                    <month>12</month>
                    <year>2022</year>
                </pub-date>
            </front-stub>
            <body>
                <p>The authors would like to thank the reviewer very much for their careful reading of the manuscript and encouraging comments.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
