<?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="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">Wellcome Open Res</journal-id>
            <journal-title-group>
                <journal-title>Wellcome Open Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2398-502X</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/wellcomeopenres.10213.1</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                    <subj-group>
                        <subject>Parasitology</subject>
                    </subj-group>
                    <subj-group>
                        <subject>Tropical &amp; Travel-Associated Diseases</subject>
                    </subj-group>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Mapping the distribution of 
                    <italic>Anopheles funestus</italic> across Benin highlights a sharp contrast of susceptibility to insecticides and infection rate to 
                    <italic>Plasmodium</italic> between southern and northern populations</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="yes" equal-contrib="yes">
                    <name>
                        <surname>Djouaka</surname>
                        <given-names>Rousseau</given-names>
                    </name>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0780-9131</uri>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no" equal-contrib="yes">
                    <name>
                        <surname>Akoton</surname>
                        <given-names>Romaric</given-names>
                    </name>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6609-7859</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tchigossou</surname>
                        <given-names>Genevieve M.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Atoyebi</surname>
                        <given-names>Seun M.</given-names>
                    </name>
                    <uri content-type="orcid">https://orcid.org/0000-0002-4987-7300</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Irving</surname>
                        <given-names>Helen</given-names>
                    </name>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Kusimo</surname>
                        <given-names>Michael O.</given-names>
                    </name>
                    <uri content-type="orcid">https://orcid.org/0000-0002-0447-0398</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Dj&#x00e8;gb&#x00e8;</surname>
                        <given-names>Innocent</given-names>
                    </name>
                    <xref ref-type="aff" rid="a5">5</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Riveron</surname>
                        <given-names>Jacob M.</given-names>
                    </name>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Tossou</surname>
                        <given-names>Eric</given-names>
                    </name>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Yessoufou</surname>
                        <given-names>Akadiri</given-names>
                    </name>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Wondji</surname>
                        <given-names>Charles S.</given-names>
                    </name>
                    <uri content-type="orcid">https://orcid.org/0000-0003-0791-3673</uri>
                    <xref ref-type="aff" rid="a4">4</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>International Institute of Tropical Agriculture, Cotonou, Benin</aff>
                <aff id="a2">
                    <label>2</label>University of Abomey-Calavi, Cotonou, Benin</aff>
                <aff id="a3">
                    <label>3</label>Cell Biology and Genetics Unit, Department of Zoology, University of Ibadan, Ibadan, Nigeria</aff>
                <aff id="a4">
                    <label>4</label>Liverpool School of Tropical Medicine, Liverpool, UK</aff>
                <aff id="a5">
                    <label>5</label>University of Sciences, Arts and Techniques of Natitingou, Ecole Normale Sup&#x00e9;rieure de Natitingou, Natitingou, Benin</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:r.djouaka@cgiar.org">r.djouaka@cgiar.org</email>
                </corresp>
                <fn id="fn1">
                    <p>
                        <sup>#</sup>These authors contributed equally to this work</p>
                </fn>
                <fn fn-type="con">
                    <p>RD and CSW designed the study; RA, ET, ID, GMT and SMA carried out mosquito collection and RA, GMT, JMR, SMA, and ET reared the mosquitoes; RA, GMT, JMR and SMA performed insecticide susceptibility tests; RA, GMT, RD and HI carried out all laboratory experiments; RA, GMT and SMA summarized and analysed all the data with assistance from RD and CSW; MOK offered significant contributions to laboratory works and writing of the manuscript; AY gave advise on the study design and offered significant insight to finalize the manuscript;  RA, CSW and RD wrote the manuscript with contributions from all authors. All authors read, made inputs and approved the final manuscript. The authors wish to state that RD and RA have equal contribution to the manuscript.</p>
                </fn>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>14</day>
                <month>12</month>
                <year>2016</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2016</year>
            </pub-date>
            <volume>1</volume>
            <elocation-id>28</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>8</day>
                    <month>12</month>
                    <year>2016</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2016 Djouaka R et al.</copyright-statement>
                <copyright-year>2016</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://wellcomeopenresearch.org/articles/1-28/pdf"/>
            <abstract>
                <p>
                    <bold>Background</bold>&#x00a0;</p>
                <p>Malaria remains an important public health issue in Benin, with 
                    <italic toggle="yes">Anopheles gambiae s.l.</italic> and 
                    <italic toggle="yes">Anopheles funestus s.s</italic> being the predominant vectors. This study was designed to generate information on 
                    <italic toggle="yes">An. funestus</italic> distribution, molecular speciation, 
                    <italic toggle="yes">Plasmodium</italic> infection rate and insecticide susceptibility status across Benin.</p>
                <p>
                    <bold>Methods</bold>&#x00a0;</p>
                <p>Mosquito samples were collected from December 2014 to January 2016 in 46 localities in Benin. These samples were mapped and 
                    <italic toggle="yes">An. funestus</italic> collected were speciated to the molecular level. 
                    <italic toggle="yes">Plasmodium</italic> infection rate was determined using a Taqman assay and susceptibility to insecticides was assessed using the WHO guidelines. The genotyping of the L119F- Gste2 mutation was also carried out.</p>
                <p>
                    <bold>Results</bold>&#x00a0;</p>
                <p>
                    <italic toggle="yes">An. funestus</italic> was found in 8 out of the 46 localities surveyed with a high presence in Tanongou (wet Sudanese ecological zone), Kpome, Doukonta and Pahou (sub-equatorial ecological zone). Molecular identifications revealed that only 
                    <italic toggle="yes">An. funestus s.s</italic> was present in southern Benin, whereas in Tanongou (northern Benin) 
                    <italic toggle="yes">An. funestus s.s.</italic> and 
                    <italic toggle="yes">An. leesoni</italic> were found in sympatry at proportions of 77.7% and 22.3% respectively. 
                    <italic toggle="yes">Plasmodium</italic> infection rate of 
                    <italic toggle="yes">An. funestus</italic> was higher in southern Benin at a range of 13 to 18% compared to 5.6% recorded in Tanongou. High DDT (8&#x00b1;0.5%) and permethrin (11&#x00b1;0.5%) resistance were observed in Doukonta, Kpome and Pahou, contrasting with relatively low resistance profiles: mortality-DDT=90&#x00b1;3.18% and mortality-permethrin=100% in Tanongou. Genotyping analysis revealed  high frequency  of the resistant 119F allele in the South (Kpome and Doukonta) compared to the North (Tanongou).</p>
                <p>
                    <bold>Discussion and Conclusion</bold>&#x00a0;</p>
                <p>The high presence of 
                    <italic toggle="yes">An. funestus</italic> in the South compared to the North  could be due to favorable environmental and climatic conditions found in both regions. A significant 
                    <italic toggle="yes">Plasmodium</italic> infection rate was recorded across the country. A high resistance profile was recorded in the southern Benin; this raises the need for further investigations on resistance selection factors.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>Anopheles funestus</kwd>
                <kwd>distribution</kwd>
                <kwd>Plasmodium infection</kwd>
                <kwd>insecticide resistance</kwd>
                <kwd>South-North</kwd>
                <kwd>Benin</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1">
                    <funding-source>Wellcome Trust</funding-source>
                    <award-id>099864</award-id>
                </award-group>
                <award-group id="fund-2">
                    <funding-source>Wellcome Trust</funding-source>
                    <award-id>101893</award-id>
                </award-group>
                <funding-statement>This work is supported by the Wellcome Trust [099864], [101893].</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>
            <title>Background</title>
            <p>Malaria remains a major public health challenge in Benin, with the most vulnerable populations being children less than five years and pregnant women
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. It accounts for around 37% of hospital consultations in the country
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Efforts to eradicate this disease in Africa have focused on treatment of diagnosed cases and preventive strategies, which are mainly based on vector control, such as the use of insecticide treated nets, indoor residual spraying of insecticides and larviciding
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>.</p>
            <p>In the past decade, vector control interventions have massively contributed to the significant decrease observed in the burden of malaria across Africa, notably in Benin
                <sup>
                    <xref ref-type="bibr" rid="ref-3">3</xref>
                </sup>. To sustain such progress, national control programs need better knowledge on key malaria vectors nationwide, including their geographical distribution, susceptibility profile to insecticides and contribution to malaria transmission, as well as understanding the vectorial complexity of these species. Such information already exists for 
                <italic toggle="yes">Anopheles gambiae</italic> across Benin
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>,
                    <xref ref-type="bibr" rid="ref-4">4</xref>,
                    <xref ref-type="bibr" rid="ref-5">5</xref>
                </sup>, but this is not the case for the other major vector 
                <italic toggle="yes">An. funestus,</italic> for which only limited information is available, mainly from few coastal populations
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>
            </p>
            <p>
                <italic toggle="yes">An. funestus</italic> Giles is one of the key malaria-transmitting mosquitoes in Africa. The vectorial capacity of this mosquito vector is close to and could exceed that of 
                <italic toggle="yes">An. gambiae</italic>, the most documented malaria vector in some countries
                <sup>
                    <xref ref-type="bibr" rid="ref-8">8</xref>
                </sup>. 
                <italic toggle="yes">An. funestus</italic> Giles group is made up of nine species distributed across sub-Saharan Africa
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>,
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>. These nine species of the 
                <italic toggle="yes">An. funestus</italic> group are as follows: 
                <italic toggle="yes">An. funestus</italic> Giles (s.s), 
                <italic toggle="yes">An. vaneedeni</italic> Gillies and Coetzee
                <italic toggle="yes">, An. leesoni</italic> Evans, 
                <italic toggle="yes">An. parensis</italic> Gillies, 
                <italic toggle="yes">An. rivulorum</italic> Leeson
                <italic toggle="yes">, An. fuscivenosus</italic> Leeson, 
                <italic toggle="yes">An.</italic> 
                <italic toggle="yes">brucei</italic> Service, 
                <italic toggle="yes">An. aruni</italic> Sobti and 
                <italic toggle="yes">An. confusus</italic> Evans and Leeson. These species are not easily distinguishable using morphological keys
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>,
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup>.</p>
            <p>The vectorial capacity of members of the 
                <italic toggle="yes">An. funestus</italic> group varies significantly, with most species being zoophilic, except 
                <italic toggle="yes">An. funestus s.s.,</italic> which is the main 
                <italic toggle="yes">Plasmodium</italic> vector in this group. Indeed high infection rates have been reported for 
                <italic toggle="yes">An. funestus s.s</italic>., such as 22%
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup> and 27%
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup> documented in South Africa, 11% in Tanzania
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>, 50% in Burkina Faso
                <sup>
                    <xref ref-type="bibr" rid="ref-14">14</xref>
                </sup> and 18% in Benin
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. However, other members of the group, such as 
                <italic toggle="yes">An. rivulorum</italic> has a high anthropophilic rate of 40% (42/106) in the southern region of Nigeria
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>
                </sup>, but presents a low contribution to malaria transmission in Tanzania
                <sup>
                    <xref ref-type="bibr" rid="ref-16">16</xref>
                </sup>. As for 
                <italic toggle="yes">An. vaneedeni,</italic> this species could be either exophilic or anthrophilic, but can easily carry the 
                <italic toggle="yes">Plasmodium</italic> parasite under laboratory conditions
                <sup>
                    <xref ref-type="bibr" rid="ref-17">17</xref>
                </sup>, whereas 
                <italic toggle="yes">An. parensis</italic> is endophilic, but does not carry the malaria parasite
                <sup>
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>,
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>. In most parts of Africa, 
                <italic toggle="yes">An. funestus s.s.</italic> and other members of the 
                <italic toggle="yes">An. funestus</italic> group live in sympatry
                <italic toggle="yes"/>
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>,
                    <xref ref-type="bibr" rid="ref-15">15</xref>,
                    <xref ref-type="bibr" rid="ref-18">18</xref>
                </sup>, and if appropriate identification is not made this could lead to wrong vectorial characterization of 
                <italic toggle="yes">An. funestus s.s</italic>. This relevant information on 
                <italic toggle="yes">An. funestus</italic> in Benin has been documented in some parts of the southern coastal localities of Ouidah, Kpomasse, Tori and Pahou
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-20">20</xref>
                </sup>, but no extensive study has so far been carried out in a North-South Benin transect to determine the extent of the distribution of this species in the country and its contribution to malaria transmission.</p>
            <p>The resistance profile of 
                <italic toggle="yes">An. funestus s.s</italic> has only been explored for some coastal populations with a multiple resistance to pyrethroids, DDT and carbamates reported in the locations of Pahou
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup> and Kpome
                <sup>
                    <xref ref-type="bibr" rid="ref-7">7</xref>
                </sup>. It remains to be established whether such resistance is distributed nationwide or not. The resistance of 
                <italic toggle="yes">An. funestus</italic> species to several insecticides used in public health has been well documented in many other African countries, and for some the resistance pattern and underlying resistance mechanisms have been the same nationwide, for example in Uganda
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>
                </sup>, whereas variations have also been observed, such as in Malawi
                <sup>
                    <xref ref-type="bibr" rid="ref-21">21</xref>
                </sup>. Across Africa,
                <italic toggle="yes"/> the
                <italic toggle="yes"/> resistance profile of 
                <italic toggle="yes">An. funestus s.s.</italic> significantly varies with resistance to pyrethroids and carbamates observed in southern Africa (Mozambique, Malawi and South-Africa)
                <sup>
                    <xref ref-type="bibr" rid="ref-22">22</xref>&#x2013;
                    <xref ref-type="bibr" rid="ref-25">25</xref>
                </sup>, whereas East African (Uganda and Kenya) populations of 
                <italic toggle="yes">An. funestus</italic> are resistant to pyrethroids and DDT, but susceptible to carbamates
                <sup>
                    <xref ref-type="bibr" rid="ref-19">19</xref>,
                    <xref ref-type="bibr" rid="ref-26">26</xref>
                </sup>. Central (Cameroon)
                <sup>
                    <xref ref-type="bibr" rid="ref-27">27</xref>,
                    <xref ref-type="bibr" rid="ref-28">28</xref>
                </sup> and West African (Ghana, Benin) populations are resistant to pyrethroid, organochlorines and carbamates
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>,
                    <xref ref-type="bibr" rid="ref-29">29</xref>
                </sup>. In Benin, 
                <italic toggle="yes">An. funestus s.s.</italic> population in the coastal locality of Pahou is resistant to pyrethroids, carbamates and is highly resistant to DDT
                <sup>
                    <xref ref-type="bibr" rid="ref-6">6</xref>
                </sup>. Furthermore,
                <italic toggle="yes"/> it was demonstrated that the GSTe2 gene with the L119F mutation accounts for its capacity to metabolize DDT
                <sup>
                    <xref ref-type="bibr" rid="ref-30">30</xref>
                </sup>.</p>
            <p>This study aims to generate information on the distribution, 
                <italic toggle="yes">Plasmodium</italic> infection rate and resistance status of 
                <italic toggle="yes">An. funestus</italic> in the South-North transect of Benin to help control programs to have a better assessment of the contribution of this species nationwide and how best to control it.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Ethical statement</title>
                <p>No ethical permit was required for this study. However, there was a focus group discussion with the community and household heads where verbal consent was obtained for mosquito collections in the community after the study aims and objectives were explained. During this research study, we did not perform insecticide spraying, night collections, or human bait for mosquito collection. All mosquitoes were sampled during daytime using electrical aspirators activated with batteries.</p>
            </sec>
            <sec>
                <title>Study sites and mosquito collection</title>
                <p>
                    <bold>
                        <italic toggle="yes">Study site description.</italic>
                    </bold> Benin lies between the Equator and the Tropic of Cancer at latitudes ranging from 6&#x00b0;30&#x2032; N to 12&#x00b0;30&#x2032; N and longitude from 1&#x00b0; E to 3&#x00b0;40&#x2032; E. This country shares boundaries with Togo in the West, Burkina Faso and Niger in the North, and Nigeria in the East. Four main climatic zones are found in the country. The North Sudanese climatic region, which is characterized by one long dry season and a short rainy season, with low relative humidity and rainfall that is the lowest in the country (800 to 1000 mm per year). Large water bodies are found in this region and temperatures are the highest, and could reach 45&#x00b0;C during dry seasons. The second region is the wet Sudanese climatic zone (Atacorian). This climatic region is dominated by hills of up to 800 m of altitude and several small water bodies, which makes the region colder. Annual rainfall ranges from 1200 to 1300 mm per year, the vegetation is partially of wet savanna type, the temperature in this part of the country is the lowest. The third region is the sub-Sudanese climatic region that covers the center of the country and part of the South. This climatic region has one long rainy season and one short dry season. Rainfall is between 900 and 1200 mm, the region is less hilly and the vegetation is of wet savanna type. The fourth region is the southern sub-equatorial climatic region that spans the southern part of the country and extends up to coastal areas of Benin. This region is made up of two rainy seasons and two dry seasons. The relative humidity is high, temperatures are relatively low and the vegetation is a mosaic of coastal, wetlands, forest, and wet savanna type. Several water bodies join together in this part of the country before being channeled into the sea (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>Surveyed localities in South-North of Benin.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://wellcomeopenresearch-files.f1000.com/manuscripts/11002/0e27109a-4b4f-4867-825d-946b0227375a_figure1.gif"/>
                </fig>
                <p>
                    <bold>
                        <italic toggle="yes">Mosquito sampling.</italic>
                    </bold> From December 2014 to January 2016, indoor collections of adult female mosquito were made between 06 to 10am in several localities along South-North transect of Benin using four electric aspirators. Mosquito collections were carried out in different localities and the GPS was used to determine the latitude and longitude for each sampled locality. Maps of surveyed sites and the distribution of 
                    <italic toggle="yes">An. funestus</italic> in Benin were developed using recorded latitudes and longitudes. For each surveyed locality, a minimum of 30 rooms were randomly selected for mosquito aspirations. These rooms were selected in a way to cover the various ecologies found in each locality. At least three days were spent in each surveyed site but for localities where 
                    <italic toggle="yes">An. funestus</italic> were found, the number of days was extended to five days to obtain a good number of mosquitoes to be used for various analyses. Aspirated mosquitoes were identified morphologically
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>
                    </sup>, counted and the total number for each species was recorded. All blood-fed and gravid 
                    <italic toggle="yes">An. funestus</italic> (F
                    <sub>0</sub>) collected inside houses were taken to the IITA insectary in Cotonou (Benin), where they were kept in small cups until fully gravid. The forced egg laying technique described by Morgan 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-26">26</xref>
                    </sup> was then used to induce female 
                    <italic toggle="yes">An. funestus</italic> to lay eggs. Egg batches and emerging larvae from the same female mosquito were reared together and later pooled with larvae from other females, if these females were found belonging to the same molecular species. Larvae were fed daily with Tetramin&#x2122; baby fish food and the water of each larvae bowl was changed every two days to reduce the mortality. The F
                    <sub>1</sub> adults generated were randomly mixed in cages for subsequent experiments.</p>
            </sec>
            <sec>
                <title>Seasonal estimation of mosquito densities per room</title>
                <p>Mosquito densities per room (m/r) were estimated during four annual climatic seasons: rainy season, transition from rainy to dry season, dry season and transition from dry to rainy season. This estimation was based on the total number of 
                    <italic toggle="yes">An. funestus s.l.</italic> collected during each season divided by the number of rooms surveyed for mosquito collections in that season. Seasonal variations of 
                    <italic toggle="yes">An. funestus</italic> densities were determined per room in two localities in Benin: the locality of Tanongou in the North (wet Sudanese/Atacorian climatic region) and the locality of Kpome in the South (subequatorial climatic region). Kpome and Tanongou were selected to represent the southern and northern regions respectively, due to the high density of 
                    <italic toggle="yes">An. funestus</italic> recorded in these localities.</p>
            </sec>
            <sec>
                <title>PCR species identification</title>
                <p>For each locality,  female mosquito specimens that were morphologically identified as belonging to 
                    <italic toggle="yes">An. funestus</italic> group
                    <sup>
                        <xref ref-type="bibr" rid="ref-9">9</xref>
                    </sup> were subjected to DNA extractions using Qiagen DNeasy Kit followed by PCR for species identification, as described by Koekemoer 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-31">31</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>
                    <italic toggle="yes">Plasmodium</italic> infection rate of 
                    <italic toggle="yes">An. funestus</italic> populations from surveyed localities</title>
                <p>The 
                    <italic toggle="yes">Plasmodium</italic> infection rate was determined using the TaqMan assay
                    <sup>
                        <xref ref-type="bibr" rid="ref-32">32</xref>
                    </sup>. The reaction was performed in a 10&#x00b5;l final volume reaction containing 1&#x00d7;SensiMix (Bioline), 800 nM of each primer and 200 nM of probes labeled with fluorophores: FAM for detecting 
                    <italic toggle="yes">P. falciparum</italic>, and HEX for 
                    <italic toggle="yes">P. ovale</italic>, 
                    <italic toggle="yes">P. vivax</italic> and 
                    <italic toggle="yes">P. malariae (P. ovm)</italic>. 
                    <italic toggle="yes">P. falciparum</italic> sample and a mixture of 
                    <italic toggle="yes">P. ovale, P. vivax</italic> and 
                    <italic toggle="yes">P. malariae</italic> were used as positive controls. The real-time PCR Agilent MX 3005 system was used for amplification with the following cycling conditions: 95&#x00b0;C for 10 minutes for denaturation, followed by 40 cycles of 15 seconds at 92&#x00b0;C and 1 minute at 60&#x00b0;C.</p>
            </sec>
            <sec>
                <title>Insecticide susceptibility tests</title>
                <p>Protocols and standard insecticide treated papers supplied by WHO
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup> were used to test for insecticide susceptibility of 
                    <italic toggle="yes">An. funestus</italic> from selected localities in the northern and southern where there was a consistent number of ovipositing females. These selected localities were Tanongou, northern Benin in the wet Sudanese climatic region (Atacorian region), and Doukonta, southern Benin in the sub-equatorial climatic region. We assessed the susceptibility pattern of 
                    <italic toggle="yes">An. funestus s.s.</italic> from both localities to two insecticides of public health interest: pyrethroids type I permethrin (0.75%) used for insecticide treated nets (ITNs), and organochlorines DDT (4%) used in insecticide residual  spraying (IRS). Exposed mosquitoes were fed with 10% sugar solution after 1hr of insecticide exposure after which mortalities were recorded 24hrs post exposure to insecticide treated papers
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>. The wild population of 
                    <italic toggle="yes">An. funestus</italic> was exposed to non-treated insecticide papers as a control
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup> due to lack of susceptible strains of 
                    <italic toggle="yes">An. funestus</italic>, (
                    <italic toggle="yes">An. funestus</italic> FANG). Prior to the experiment, the effectiveness of insecticide treated papers was confirmed by exposing the susceptible strain 
                    <italic toggle="yes">An. gambiae kisumu</italic> to insecticide impregnated papers. WHO criteria were used to determine resistance status with mortality between 98&#x2013;100% indicating susceptibility, 90&#x2013;97% potential resistance, and less than 90% resistance
                    <sup>
                        <xref ref-type="bibr" rid="ref-33">33</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Distribution of L119F-GSTe2 resistance allele using TaqMan assay</title>
                <p>To assess the role of L119F mutation in DDT resistance, wild female 
                    <italic toggle="yes">An. funestus s.s.</italic> collected from each selected location were genotyped using the Taqman assay, as previously demonstrated
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>. The reaction was performed in a 10&#x03bc;l final volume containing 1&#x00d7;SensiMix (Bioline, London, UK), 800 nM of each primer and 200 nM of each probe using an Agilent MX3005P machine. The following cycling conditions were used: 10 min at 95&#x00b0;C, 40 cycles of 15s at 92&#x00b0;C and 1 min at 60&#x00b0;C. Two probes labelled with fluorochromes FAM and HEX were used. The FAM was used to detect the mutant allele, while the HEX detected the wild type allele.</p>
            </sec>
            <sec>
                <title>Data analysis</title>
                <p>MedCalc easy-to-use online statistical software
                    <sup>
                        <xref ref-type="bibr" rid="ref-34">34</xref>
                    </sup> was used to test for significant difference of 
                    <italic toggle="yes">Plasmodium</italic> infection rate and L119F-GSTe2 genotyping data in the South compared to the North of Benin.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>Distribution of 
                    <italic toggle="yes">Anopheles funestus</italic> species in a South-North transect of Benin</title>
                <p>Out of the 46 surveyed localities (
                    <xref ref-type="fig" rid="f1">Figure 1</xref> and 
                    <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>) in this study, 
                    <italic toggle="yes">An. funestus</italic> species were found in eight localities, generally in sympatry with 
                    <italic toggle="yes">An. gambiae,</italic> and spread in two geo-climatic regions of Benin. In addition, most of the sites where 
                    <italic toggle="yes">An. funestus</italic> species were collected were found in the western part of the country (six out of eight localities with 
                    <italic toggle="yes">An. funestus</italic>; 
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
                <p>A total of 3179 mosquitoes belonging to different species were caught during this survey. These mosquito populations from indoor collections were dominated by 
                    <italic toggle="yes">Anopheles spp.</italic> 82.89% (2635), followed by 
                    <italic toggle="yes">Culex spp.</italic> 14.90% (474), 
                    <italic toggle="yes">Mansonia spp.</italic> 1.38% (44) and 
                    <italic toggle="yes">Aedes spp.</italic> 0.81% (26) (
                    <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). Out of the morphologically identified 
                    <italic toggle="yes">Anopheles spp.</italic>, 
                    <italic toggle="yes">An. gambiae s.l.</italic> constituted 79% (2083), followed by 
                    <italic toggle="yes">An. funestus s.l.</italic> with 21% (552). No other 
                    <italic toggle="yes">Anopheles</italic> species was collected during the sampling period.</p>
            </sec>
            <sec>
                <title>Distribution of 
                    <italic toggle="yes">An. funestus</italic> in various geo-climatic regions of Benin</title>
                <p>

                    <italic toggle="yes">An. funestus</italic> was not found in either the dry Sudanese climatic region (no 
                    <italic toggle="yes">An. funestus</italic> collected in the 11 surveyed localities), nor in the transition region between the Sudanese and the sub-equatorial climatic regions (the sub-Sudanese climatic region), where no 
                    <italic toggle="yes">An. funestus</italic> was found in the nine surveyed localities (
                    <xref ref-type="fig" rid="f1">Figure 1</xref> and 
                    <xref ref-type="supplementary-material" rid="SM1">Supplementary Table 1</xref>). All 
                    <italic toggle="yes">An. funestus</italic> samples collected were either from the southern sub-equatorial region (
                    <italic toggle="yes">An. funestus</italic> found in five out of the 17 surveyed localities) or the northern wet Sudanese climatic region of the Atacora (three localities with 
                    <italic toggle="yes">An. funestus</italic> out of nine surveyed). It is worth indicating that most sampled specimens of 
                    <italic toggle="yes">An. funestus</italic> were found in the western part of Benin (six localities out of eight with 
                    <italic toggle="yes">An. funestus</italic>). Out of the 552 morphologically identified 
                    <italic toggle="yes">An. funestus</italic> sampled during this survey, 319 samples were from localities situated in the sub-equatorial climatic region and 233 from the wet Sudanese climatic region (Atacorian region). High densities of 
                    <italic toggle="yes">An. funestus</italic> were recorded in Kpome (243 
                    <italic toggle="yes">An. funestus</italic>) and Tanongou (229 
                    <italic toggle="yes">An. funestus</italic>), localities from the sub-equatorial climatic region and the wet Sudanese climatic region, respectively (
                    <xref ref-type="fig" rid="f1">Figure 1</xref>).</p>
            </sec>
            <sec>
                <title>Seasonal variations of 
                    <italic toggle="yes">An. funestus</italic> density in the northern (Tanongou) and the southern (Kpome) localities of Benin</title>
                <p>Generated data from Kpome during the four monitored seasons revealed a higher 
                    <italic toggle="yes">An. funestus</italic> density per room (m/r) during the transition period from dry to rainy season (3 m/r). The lowest number of 
                    <italic toggle="yes">An. funestus</italic> (0.2 m/r) was recorded during rainy season. Densities of 1 and 2.3 m/r were documented during the transition from rainy to dry season and the dry season, respectively. A similar trend was observed in Tanongou with a higher density of 
                    <italic toggle="yes">An. funestus</italic> recorded during the transition from dry to rainy season (1.3 m/r), followed by the dry season with a density of 0.4 m/r, the transition from rainy to dry season and the rainy season had densities of 0.2 and 0.1 m/r, respectively. Comparative analysis of 
                    <italic toggle="yes">An. funestus</italic> densities at Kpome and Tanongou revealed a relatively higher rate of 
                    <italic toggle="yes">An. funestus</italic> mosquitoes per room at Kpome throughout all the four identified seasons compared to Tanongou (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>).</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Seasonal distribution of 
                            <italic toggle="yes">Anopheles funestus</italic> (densities per room) in Kpome and Tanongou.</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://wellcomeopenresearch-files.f1000.com/manuscripts/11002/0e27109a-4b4f-4867-825d-946b0227375a_figure2.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Distribution of members of 
                    <italic toggle="yes">An. funestus</italic> group across Benin</title>
                <p>PCR species detection of the 552 morphologically identified 
                    <italic toggle="yes">An. funestus</italic> individuals revealed a predominance of 
                    <italic toggle="yes">An. funestus s.s.</italic> in the two climatic regions where 
                    <italic toggle="yes">An. funestus</italic> was found in Benin. In the wet Sudanese climatic region, and more specifically in Tanongou, 
                    <italic toggle="yes">An. funestus s.s.</italic> was found in sympatry with its sister species 
                    <italic toggle="yes">An. leesoni</italic>. Out of the 229 
                    <italic toggle="yes">An. funestus s.l.</italic> aspirated indoors at Tanongou, 178 were 
                    <italic toggle="yes">An. funestus s.s.</italic> and 51 were 
                    <italic toggle="yes">An. leesoni</italic>. In contrast, in the southern locality of Kpome where the highest density of 
                    <italic toggle="yes">An. funestus</italic> was recorded (243 
                    <italic toggle="yes">An. funestus s.l.</italic>), as well as Doukonta and Pahou, no other member of the group apart from 
                    <italic toggle="yes">An. funestus s.s.</italic> was found (
                    <xref ref-type="table" rid="T1">Table 1</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Distribution of members of 
                            <italic toggle="yes">Anopheles funestus</italic> group in the North-South Benin.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1">Localities</th>
                                <th align="left" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.l.</italic> subjected
                                    <break/>to molecular speciation</th>
                                <th align="left" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </th>
                                <th align="left" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. leesoni</italic>
                                </th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Doukonta</td>
                                <td align="center" colspan="1" rowspan="1">15</td>
                                <td align="center" colspan="1" rowspan="1">15</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Zoundji</td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Zougueme</td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Kouforpissiga</td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Cobly centre</td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Pahou</td>
                                <td align="center" colspan="1" rowspan="1">57</td>
                                <td align="center" colspan="1" rowspan="1">57</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Tanongou</td>
                                <td align="center" colspan="1" rowspan="1">229</td>
                                <td align="center" colspan="1" rowspan="1">178</td>
                                <td align="center" colspan="1" rowspan="1">51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Kpome</td>
                                <td align="center" colspan="1" rowspan="1">243</td>
                                <td align="center" colspan="1" rowspan="1">243</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Total</td>
                                <td align="center" colspan="1" rowspan="1">552</td>
                                <td align="center" colspan="1" rowspan="1">501</td>
                                <td align="center" colspan="1" rowspan="1">51</td>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>
                    <italic toggle="yes">Plasmodium</italic> infection rate of identified members of 
                    <italic toggle="yes">An. funestus</italic> group</title>
                <p>Taqman results (n=552) showed that 
                    <italic toggle="yes">An. funestus</italic> mosquitoes from the sub-equatorial climatic localities of the southern Benin were significantly infected with 
                    <italic toggle="yes">Plasmodium</italic> compared with those from the wet Sudanese localities of the northwestern Benin (Atacorian region) (P=0.0001). 
                    <italic toggle="yes">An. funestus</italic> from Kpome, Pahou and Doukonta in southern Benin had 
                    <italic toggle="yes">Plasmodium</italic> infection rates of 18.51, 15.78 and 13.33%, respectively. However, in northwestern Benin, only 
                    <italic toggle="yes">An. funestus s.s.</italic> from Tanongou was infected with 
                    <italic toggle="yes">Plasmodium</italic> with an infection rate of 5.62% (
                    <xref ref-type="table" rid="T2">Table 2</xref>). 
                    <italic toggle="yes">Plasmodium</italic> infection was absent in all the 51 
                    <italic toggle="yes">An. leesoni</italic> specimens analysed during this course of research (
                    <xref ref-type="table" rid="T2">Table 2</xref>).</p>
                <table-wrap id="T2" orientation="portrait" position="anchor">
                    <label>Table 2. </label>
                    <caption>
                        <title>
                            <italic toggle="yes">Plasmodium</italic> infection rate of members of 
                            <italic toggle="yes">Anopheles funestus</italic> group in different localities of Benin.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="left" colspan="1" rowspan="1">Locality</th>
                                <th align="center" colspan="1" rowspan="1">Species</th>
                                <th align="center" colspan="1" rowspan="1">Mosquito
                                    <break/>analyzed</th>
                                <th align="center" colspan="1" rowspan="1">Total
                                    <break/>infected</th>
                                <th align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">Plasmodium</italic>
                                    <break/>infection rate (%)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Kpome</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">243</td>
                                <td align="center" colspan="1" rowspan="1">45</td>
                                <td align="center" colspan="1" rowspan="1">18.51</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Pahou</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">57</td>
                                <td align="center" colspan="1" rowspan="1">9</td>
                                <td align="center" colspan="1" rowspan="1">15,78</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Doukonta</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">15</td>
                                <td align="center" colspan="1" rowspan="1">2</td>
                                <td align="center" colspan="1" rowspan="1">13.33</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Cobly</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Koufforpissiga</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Zoundji</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">3</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="1">Zoungueme</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">1</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="left" colspan="1" rowspan="2">Tanongou</td>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. funestus s.s.</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">178</td>
                                <td align="center" colspan="1" rowspan="1">10</td>
                                <td align="center" colspan="1" rowspan="1">5.62</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1">
                                    <italic toggle="yes">An. leesoni</italic>
                                </td>
                                <td align="center" colspan="1" rowspan="1">51</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                                <td align="center" colspan="1" rowspan="1">0</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1"/>
                                <td align="center" colspan="1" rowspan="1">Total</td>
                                <td align="center" colspan="1" rowspan="1">552</td>
                                <td align="center" colspan="1" rowspan="1">66</td>
                                <td align="center" colspan="1" rowspan="1"/>
                            </tr>
                        </tbody>
                    </table>
                </table-wrap>
            </sec>
            <sec>
                <title>Comparative insecticide susceptibility tests of 
                    <italic toggle="yes">An. funestus s.s.</italic> in the northern (Tanongou) and the southern (Doukonta) localities of Benin</title>
                <p>Insecticide susceptibility tests of 
                    <italic toggle="yes">An. funestus s.s.</italic> from Doukonta, Pahou
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>
                    </sup> and Kpome
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup> in the South, and Tanongou in northern Benin were assessed. In total, 100 females each (F
                    <sub>1</sub> generated from F
                    <sub>0</sub> oviposition) of 
                    <italic toggle="yes">An. funestus s.s.</italic> from Doukonta were exposed to DDT and permethrin. Similarly, 100 
                    <italic toggle="yes">An. funestus s.s.</italic> from Tanongou were exposed to permethrin and DDT. Results revealed low mortalities to DDT (8&#x00b1;0.5%) and permethrin (11&#x00b1;0.5%) for 
                    <italic toggle="yes">An. funestus s.s.</italic> from Doukonta, whereas the Tanongou population had higher mortality rates to DDT (90&#x00b1;3.18%) and permethrin (100%). This shows that there is a higher resistance in Doukonta compared to Tanongou (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). Similarly, high resistance levels have been previously documented in southern localities of Pahou and Kpome
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>,
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup>.</p>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Insecticide resistance profiles of 
                            <italic toggle="yes">Anopheles funestus</italic> populations in Kpome (South Benin), Doukonta (South Benin) and Tanongou (North Benin).</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://wellcomeopenresearch-files.f1000.com/manuscripts/11002/0e27109a-4b4f-4867-825d-946b0227375a_figure3.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Screening of L119F- GSTe2 mutation  in a wild population of 
                    <italic toggle="yes">Anopheles funestus</italic> from Benin</title>
                <p>Genotyping of the L119F-Gste2 mutation in wild 
                    <italic toggle="yes">An. funestus</italic> population from each of the selected locations revealed the presence of the resistant 119F allele at a high frequency: 96% in Kpome
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup>, 83.2% in Doukonta (southern Benin), while in Tanongou (North Benin), 35% mutant allelic frequency was recorded. No susceptible allele (SS) was observed either in Kpome or Doukonta mosquitoes, showing that the 119F gene is close to fixation in the 
                    <italic toggle="yes">An. funestus</italic> populations of these two locations in the southern Benin. A significant difference (P&#x2264;0.0001) was observed between the 119F allelic frequency recorded in Kpome and Doukonta, where a high resistance to DDT was observed compared to Tanongou (
                    <xref ref-type="fig" rid="f4">Figure 4</xref>).</p>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Allelic frequency of the L119F-GSTe2 mutation in wild 
                            <italic toggle="yes">Anopheles funestus</italic> populations (F
                            <sub>0</sub>) from Kpome (South Benin), Doukonta (South Benin) and Tanongou (North Benin).</title>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://wellcomeopenresearch-files.f1000.com/manuscripts/11002/0e27109a-4b4f-4867-825d-946b0227375a_figure4.gif"/>
                </fig>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>This research was designed to map the distribution of 
                <italic toggle="yes">An. funestus</italic> in Benin and compare the insecticide resistance profile of this malaria vector in the North-South transect, as well as their infection rates with 
                <italic toggle="yes">Plasmodium</italic> species, for improved knowledge on this malaria vector and enhanced performances of current malaria control tools.</p>
            <sec>
                <title>Distribution of 
                    <italic toggle="yes">An. funestus</italic> and its implication in malaria transmission in the various geo-climatic settings of Benin</title>
                <p>

                    <italic toggle="yes">An. funestus</italic> was mainly found in the southern and the northwestern localities of Benin in this study. In these two geo-climatic regions, there seem to be a high tendency of this species to colonize the western areas of the country (north and southwestern). The relatively high presence of this vector in the western part of Benin could be explained by the humidity, relatively low temperatures associated with the hilly landscape, and the presence of rivers and streams covered with vegetation
                    <sup>
                        <xref ref-type="bibr" rid="ref-35">35</xref>
                    </sup>. This shows that this species prefers more permanent water bodies with vegetation usually found along rivers, streams and lakes
                    <sup>
                        <xref ref-type="bibr" rid="ref-36">36</xref>
                    </sup>, whereas 
                    <italic toggle="yes">An. gambiae</italic> tends to oviposit in temporary breeding sites, such as puddles and animal foot prints
                    <sup>
                        <xref ref-type="bibr" rid="ref-37">37</xref>
                    </sup>. Very little or no population of 
                    <italic toggle="yes">An. funestus</italic> was found in the dry Sudanese climatic region of northeastern Benin. The low presence of this mosquito species in this dry hot region (low rain falls and temperature reaching 45&#x00b0;C during dry seasons) is either due to the period of sampling or the low presence of permanent fresh water bodies covered with vegetation coupled with dryness of the region
                    <sup>
                        <xref ref-type="bibr" rid="ref-38">38</xref>
                    </sup>.</p>
                <p>The density of 
                    <italic toggle="yes">An. funestus</italic> species collected indoor in this research further confirms their endophilic behavior
                    <sup>
                        <xref ref-type="bibr" rid="ref-39">39</xref>
                    </sup>. Two species of the 
                    <italic toggle="yes">An. funestus</italic> group were identified during this study: 
                    <italic toggle="yes">An. funestus s.s.</italic> and 
                    <italic toggle="yes">An. leesoni</italic>. Contrary to 
                    <italic toggle="yes">An. funestus s.s.,</italic> there was no trace of 
                    <italic toggle="yes">Plasmodium</italic> DNA in the 51 samples of 
                    <italic toggle="yes">An. leesoni</italic> analyzed. This result confirms the low/no implication of 
                    <italic toggle="yes">An. leesoni</italic> in the transmission of malaria, as previously documented
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>,
                        <xref ref-type="bibr" rid="ref-39">39</xref>
                    </sup>, which is notable in West Africa as this species
                    <italic toggle="yes"/> is known to be highly zoophilic. While placing a low epidemiological interest on 
                    <italic toggle="yes">An. leesoni</italic>, this study further highlights the need for a high focus on 
                    <italic toggle="yes">An. funestus s.s.</italic> for improved control of malaria in Benin
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup>. Recorded infection rates of 
                    <italic toggle="yes">An. funestus</italic> were more than three times higher in screened localities of southern localities (Kpome, Pahou, Doukonta) compared to the North (Tanongou), suggesting a higher implication of 
                    <italic toggle="yes">An. funestus</italic> in malaria transmission in the southern part of the country where its density is also high. The high 
                    <italic toggle="yes">Plasmodium</italic> infection rates observed in southern Benin are similar to some infection rates documented in several African countries in this species; 
                    <italic toggle="yes">Plasmodium falciparum</italic> infection rates of 22
                    <sup>
                        <xref ref-type="bibr" rid="ref-11">11</xref>
                    </sup> and 27%
                    <sup>
                        <xref ref-type="bibr" rid="ref-12">12</xref>
                    </sup> have been found in 
                    <italic toggle="yes">An. funestus</italic> populations of South Africa. In countries from the western part of Africa, a mean rate of infectivity between 3 and 15% has been observed, including in Burkina Faso
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>,
                        <xref ref-type="bibr" rid="ref-40">40</xref>
                    </sup> and recently in Ghana
                    <sup>
                        <xref ref-type="bibr" rid="ref-41">41</xref>
                    </sup>. In Burkina Faso, Dabire 
                    <italic toggle="yes">et al.</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-40">40</xref>
                    </sup> documented the presence of 
                    <italic toggle="yes">Plasmodium</italic> in 
                    <italic toggle="yes">An. funestus</italic> (20% infection rate) from Lena during the month of August 2000. In Benin, two studies recently conducted in southern localities revealed 
                    <italic toggle="yes">Plasmodium</italic> infection rates of 13.6 and 18.27% in 
                    <italic toggle="yes">An. funestus</italic>
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>,
                        <xref ref-type="bibr" rid="ref-42">42</xref>
                    </sup>. This study has shown a similar trend in the densities of 
                    <italic toggle="yes">An. funestus</italic> in both screened ecological zones throughout the year. High densities of 
                    <italic toggle="yes">An. funestus</italic> mosquitoes were recorded during the transition from dry to rainy season followed by the dry season, then the transition from the rainy to dry season and finally the rainy season, where the least density of 
                    <italic toggle="yes">An. funestus</italic> were recorded. The involvement of 
                    <italic toggle="yes">An. funestus</italic> in the transmission of malaria during dry seasons was also documented in Ghana
                    <sup>
                        <xref ref-type="bibr" rid="ref-43">43</xref>
                    </sup>, Nigeria
                    <sup>
                        <xref ref-type="bibr" rid="ref-15">15</xref>
                    </sup>, Burkina Faso
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>,
                        <xref ref-type="bibr" rid="ref-40">40</xref>
                    </sup>, and more recently in southern Benin
                    <sup>
                        <xref ref-type="bibr" rid="ref-44">44</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Comparative insecticides susceptibility tests of 
                    <italic toggle="yes">An. funestus s.s.</italic> from southern (Doukonta) and northern (Tanongou) localities of Benin</title>
                <p>Comparative analysis of insecticide resistance profiles in 
                    <italic toggle="yes">An. funestus</italic> populations from Doukonta (southern Benin) and Tanongou (northern Benin) reveals that 
                    <italic toggle="yes">An. funestus s.s.</italic> from Doukonta are relatively more resistant to DDT and permethrin (mortality rates of 8&#x00b1;0.5 and 11&#x00b1;0.5%, respectively) than those from Tanongou, where only a moderate resistance was observed to DDT (mortality rate of 90&#x00b1;3.18%) and a full susceptibility to permethrin (100%). High resistance to DDT and permethrin had previously been reported in populations of 
                    <italic toggle="yes">An. funestus</italic> from two other localities of southern Benin, Pahou and Kpome
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>,
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup>. In addition to the use of agricultural insecticides in both the northern and southern surveyed sites, the high insecticide resistance observed in the South could be associated with environmental factors, such as urbanization, which increases the level of xenobiotics (pollution) in 
                    <italic toggle="yes">Anopheles</italic> breeding sites and could favor the selection of cross resistance to permethrin and DDT in southern Benin compared to northwestern Benin with less urbanization and pollution
                    <sup>
                        <xref ref-type="bibr" rid="ref-45">45</xref>
                    </sup>. Recorded resistance profiles could also be associated with a relatively high flow of genes among 
                    <italic toggle="yes">An. funestus</italic> populations in southern Benin compared to the North, particularly if there are some barriers to gene flow, which needs to be investigated further. Other factors of resistance selection, such as the relatively high use of ITNs/IRS (use of public health insecticides) in the southern Benin compared to the North, might have also contributed to observed high resistance profile of mosquitoes
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>,
                        <xref ref-type="bibr" rid="ref-46">46</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-50">50</xref>
                    </sup>. Similar observations have been documented on 
                    <italic toggle="yes">An. gambiae s.l.</italic> in the North and South of Benin where increased pyrethroid resistance is also prevalent in 
                    <italic toggle="yes">An. gambiae s.l.</italic> species in South Benin
                    <sup>
                        <xref ref-type="bibr" rid="ref-51">51</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-53">53</xref>
                    </sup> than in the North, mirroring the pattern that was observed here for 
                    <italic toggle="yes">An. funestus</italic>. Resistance to DDT and permethrin is also widely distributed in 
                    <italic toggle="yes">An. gambiae</italic> in Benin
                    <sup>
                        <xref ref-type="bibr" rid="ref-4">4</xref>,
                        <xref ref-type="bibr" rid="ref-54">54</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Distribution of L119F-GSTe2 mutation in 
                    <italic toggle="yes">An. funestus</italic> populations in Benin</title>
                <p>The high frequency of the 119F-GSTe2 resistant allele in Kpome and Doukonta where high phenotypic resistance to DDT was also observed; both results suggest that this mutation plays an important role in DDT resistance in West Africa, as previously documented
                    <sup>
                        <xref ref-type="bibr" rid="ref-30">30</xref>
                    </sup>. Indeed, consistent frequencies of this resistance allele were also recorded in other DDT resistant populations in Central and West Africa notably in Cameroon (52%), Ghana (44%) and Burkina Faso (25%) in accordance with the previously reported prevalence of DDT resistance in these countries
                    <sup>
                        <xref ref-type="bibr" rid="ref-27">27</xref>&#x2013;
                        <xref ref-type="bibr" rid="ref-29">29</xref>
                    </sup>. The resistant 119F allele was detected in 
                    <italic toggle="yes">An. funestus</italic> populations from Tanongou, but with a relatively low frequency (35%), reflecting the moderate level of DDT resistance recorded. This result is in line with the detection of low frequencies of this resistant allele in the eastern African 
                    <italic toggle="yes">An. funestus</italic> of Uganda (20.4%) and Kenya (7.8%), which is associated with a moderate level of DDT phenotypic resistance observed in this region
                    <sup>
                        <xref ref-type="bibr" rid="ref-19">19</xref>,
                        <xref ref-type="bibr" rid="ref-26">26</xref>
                    </sup>. However, this observation is different in southern Africa where this mutation is completely absent despite recent reports of DDT resistance
                    <sup>
                        <xref ref-type="bibr" rid="ref-25">25</xref>
                    </sup>, suggesting that DDT resistance in southern Africa is driven by a different mechanism to that observed in West and Central Africa. These heterogeneities in L119F frequencies suggest that there are different mechanisms responsible for the DDT resistance in 
                    <italic toggle="yes">An. funestus</italic> populations across Africa.</p>
            </sec>
        </sec>
        <sec sec-type="conclusions">
            <title>Conclusion</title>
            <p>This study has generated key relevant information on the bionomics of 
                <italic toggle="yes">An. funestus</italic> in Benin, including its seasonal distribution in a South-North transect, its 
                <italic toggle="yes">Plasmodium</italic> infection rate and its resistance profiles to permethrin and DDT in the southern and northern ecological zones. The contrasting profiles observed between southern and northern populations of 
                <italic toggle="yes">An. funestus</italic> were evident in the present study in terms of density, contribution to malaria transmission and resistance to insecticides. The factors behind these differences need further investigation. Overall, the high density of 
                <italic toggle="yes">An. funestus</italic> in the south and northwestern Benin coupled with the consistent high 
                <italic toggle="yes">Plasmodium</italic> infection level of this 
                <italic toggle="yes">Anopheles</italic> species and its high resistance to insecticides in the South strengthens the need for more research on this species for improved performances of malaria control programs in Benin.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <p>Raw data are available at the Open Science Framework:  DOI, 
                <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.17605/OSF.IO/Y3B8P">10.17605/OSF.IO/Y3B8P</ext-link>
                <sup>
                    <xref ref-type="bibr" rid="ref-55">55</xref>
                </sup>.</p>
        </sec>
        <sec>
            <title>Abbreviations</title>
            <p>INSAE: Institut National de la Statistique et de l'Analyse Economique; DDT: Dichlorodiphenyltrichloroethane; m/r: mosquito per room; 
                <italic toggle="yes">spp:</italic> Species; PCR: Polymerase Chain Reaction; WHO: World Health Organization.</p>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We appreciate all surveyed communities for their cooperation and assistance during fieldwork. We thank Claude Gande and Murielle Soglo for their technical assistance and relevant advice in the course this study.</p>
        </ack>
        <sec id="SM1" sec-type="supplementary-material">
            <title>Supplementary material</title>
            <p>
                <bold>Supplementary Table 1:</bold> The surveyed 46 localities, and the species of mosquitoes collected in each locality.</p>
            <p>
                <ext-link ext-link-type="uri" xlink:href="https://wellcomeopenresearch.s3.amazonaws.com/supplementary/10213/800584ac-4461-4d91-9da3-e02252145bb2.docx">Click here to access the data.</ext-link>
            </p>
        </sec>
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                        </name>

                        <etal/>
</person-group>:
                    <article-title>Malaria vectors in the Republic of Benin: distribution of species and molecular forms of the 
                        <italic toggle="yes">Anopheles gambiae</italic> complex.</article-title>
                    <source>

                        <italic toggle="yes">Acta Trop.</italic>
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                    <year>2010</year>;<volume>114</volume>(<issue>2</issue>):<fpage>116</fpage>&#x2013;<lpage>22</lpage>.
                    <pub-id pub-id-type="pmid">20138819</pub-id>
                    <pub-id pub-id-type="doi">10.1016/j.actatropica.2010.02.001</pub-id>
                </mixed-citation>
            </ref>
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                        </name>

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                            <surname>Padonou</surname>
                            <given-names>G</given-names>
                        </name>

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                            <surname>Asidi</surname>
                            <given-names>A</given-names>
                        </name>

                        <etal/>
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                    <article-title>Insecticide resistance status in 
                        <italic toggle="yes">Anopheles gambiae</italic> in southern Benin.</article-title>
                    <source>

                        <italic toggle="yes">Malar J.</italic>
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                    <year>2010</year>;<volume>9</volume>:<fpage>83</fpage>.
                    <pub-id pub-id-type="pmid">20334637</pub-id>
                    <pub-id pub-id-type="doi">10.1186/1475-2875-9-83</pub-id>
                    <pub-id pub-id-type="pmcid">2858214</pub-id>
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                            <surname>Djouaka</surname>
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                        </name>

                        <name name-style="western">
                            <surname>Akoton</surname>
                            <given-names>R</given-names>
                        </name>

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                            <surname>Tchigossou</surname>
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                    <article-title>Mapping of the distribution, plasmodium infection rate and insecticide susceptibility of Anopheles funestus in Benin</article-title>.<year>2016</year>.
                    <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.17605/OSF.IO/Y3B8P">Data Source</ext-link>
                </mixed-citation>
            </ref>
        </ref-list>
    </back>
    <sub-article article-type="reviewer-report" id="report19465">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/wellcomeopenres.11002.r19465</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Ndiath</surname>
                        <given-names>Mamadou Ousmane</given-names>
                    </name>
                    <xref ref-type="aff" rid="r19465a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-5053-0622</uri>
                </contrib>
                <aff id="r19465a1">
                    <label>1</label>G4 Malaria Group, Institut Pasteur of Madagascar, BP 1274, Ambatofotsikely Avaradoha, 101 Antananarivo, Madagascar</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>30</day>
                <month>1</month>
                <year>2017</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2017 Ndiath MO</copyright-statement>
                <copyright-year>2017</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="relatedArticleReport19465" related-article-type="peer-reviewed-article" xlink:href="10.12688/wellcomeopenres.10213.1"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>In a context marked by widespread insecticide resistance in different anopheles populations, knowledge of the bionomic of malaria vector such as 
                <italic>An. funestus</italic> and measured insecticide susceptibilities are prerequisite for effective vector control. Indeed, 
                <italic>An</italic>. 
                <italic>funestus</italic> is one of the key malaria vectors in Africa and in this respect deserves more attention. The paper by Djouaka 
                <italic>et al.</italic>&#x00a0;goes in the same direction. This is a solid manuscript and generally very clearly written; the Background is very clearly focused, and the Discussion and conclusions warranted by the data. In this, I strongly encourage the publication of this manuscript. My minor comments are below:&#x00a0;</p>
            <p> </p>
            <p> 
                <bold>Methods</bold>
            </p>
            <p> </p>
            <p> 
                <bold>Plasmodium infection rate of 
                    <italic>An. funestus</italic> populations from surveyed localities</bold>
            </p>
            <p> I recommend the authors to give the different sequences of the primers used (
                <italic>P. ovale, vivax, malariae</italic> and 
                <italic>falciparum</italic>).</p>
            <p> </p>
            <p> 
                <bold>Insecticides susceptibility</bold>
            </p>
            <p> I suggest the authors to develop this part by giving any information about the number of ovipositing females, the number of tested mosquitoes per molecules (DDT and permethrin) and the number of replicates, the origin of impregnated papers (from Vector Control Research Unit, University Sains Malaysia, Penang, Malaysia??), condition of test (relative humidity and temperature) and insectary conditions.</p>
            <p> 
                <bold>Data analysis</bold>
            </p>
            <p> In this section, it should be mentioned the used statistical tests</p>
            <p> </p>
            <p> 
                <bold>Results</bold>
            </p>
            <p> Specify the test used in all results 
                <list list-type="bullet">
                    <list-item>
                        <p>
                            <bold>
                                <italic>Plasmodium infection rate of identified members of An. funestus group</italic>
                            </bold>:&#x00a0; (P=0.0001) what test was used? Fisher&#x2019;s exact test, chi-squared test? or Pearson test?....</p>
                    </list-item>
                    <list-item>
                        <p>Same thing to the 
                            <bold>
                                <italic>Screening of L119F-GSTe2&#x2026;.section</italic>
                            </bold> (P &#x2a7d;0.001).</p>
                    </list-item>
                </list> 
                <bold>Tables and figures</bold> 
                <list list-type="bullet">
                    <list-item>
                        <p>In all 
                            <underline>Tables and figures</underline>, for clarity please add the collection dates in the title</p>
                    </list-item>
                    <list-item>
                        <p>
                            <underline>Figure 3</underline>: The data represent mortality mate? means? medians? with 95 % confidence intervals? Please make clear.</p>
                    </list-item>
                    <list-item>
                        <p>
                            <underline>Figure 4</underline>: What does f (S) and f(R) represent? Please specify in the title.</p>
                    </list-item>
                </list>
            </p>
            <p>Reviewer Expertise:</p>
            <p>NA</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="comment2506-19465">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Djouaka</surname>
                            <given-names>Rousseau</given-names>
                        </name>
                        <aff>International institute of Tropical Agriculture, Benin</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We declare no competing interest</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>21</day>
                    <month>2</month>
                    <year>2017</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>
                        <underline>Memo&#x00a0;: How we addressed comments from Reviewer 2</underline>
                    </bold>
                </p>
                <p> 
                    <bold>
                        <underline>Methods</underline>
                    </bold>
                </p>
                <p> 
                    <bold>
                        <underline>Comment 1</underline>
                    </bold>: 
                    <italic>Plasmodium infection rate of An. funestus populations from surveyed localities: I recommend the authors to give the different sequences of the primers used (P. ovale, vivax, malariae and falciparum).</italic>
                </p>
                <p> For this analysis as described in the methodology, primers and probes were used: Forward (F), PlasF (5'-GCTTAGTTACGATTAATAGGAGTAGCTTG-3') and reverse (R), PlasR (5'- GAAAATCTAAGAATTTCACCTCTGACA-3') primers. Specific probes for 
                    <italic>plasmodium </italic>species detection: 5'-TCTGAATACGAATGTC-3' labelled with FAM for 
                    <italic>P. falciparum</italic> detection and 5'-CTGAATACAAATGCC-3' labelled with HEX for
                    <italic> P. ovale </italic>or
                    <italic> P. vivax</italic> and 
                    <italic>P. malariae</italic> detection were also used.</p>
                <p> 
                    <bold>
                        <underline>Insecticides susceptibility</underline>
                    </bold>
                </p>
                <p> 
                    <bold>
                        <underline>Comment 2</underline>
                    </bold>
                    <underline>:</underline> 
                    <italic>I suggest the authors to develop this part by giving information about:</italic>
                </p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>the number of ovipositing females</italic>
                            </p>
                        </list-item>
                    </list> </p>
                <p> For Tanongou, 75 
                    <italic>Anopheles funestus s. s.</italic> oviposited out of 110 that were subjected to forced-egg laying technique while for Doukonta, 9 mosquitoes oviposited out of 15 that were subjected to forced-egg laying technique.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>the number of tested mosquitoes per molecules (DDT and permethrin) and the number of replicates</italic>
                            </p>
                        </list-item>
                    </list> &#x00a0;</p>
                <p> 100 
                    <italic>Anopheles funestus s. s. </italic>were tested for each insecticide with 4 and 5 replicates in Doukonta and Tanongou respectively.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>the origin of impregnated papers (from Vector Control Research Unit, University Sains Malaysia, Penang, Malaysia??)</italic>
                            </p>
                        </list-item>
                    </list> </p>
                <p> Impregnated papers were purchased from Vector Biology Department, Liverpool School of Tropical Medicine, UK.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>condition of test (relative humidity and temperature) and insectary conditions.</italic>
                            </p>
                        </list-item>
                    </list> &#x00a0;</p>
                <p> Insectary and Bioassay room were at a temperature of 25-27&#x00b0;C and relative humidity of 80&#x00b1;5%.</p>
                <p> 
                    <bold>
                        <underline>Data analysis and Results</underline>
                    </bold>
                </p>
                <p> 
                    <bold>
                        <underline>Comments 3 &amp; 4:</underline>
                    </bold>
                </p>
                <p> 
                    <italic>
                        <bold>3.</bold> In this section, it should be mentioned the used statistical tests.</italic>
                </p>
                <p>
                    <italic> 
                        <bold>4. </bold>Plasmodium infection rate of identified members of An. funestus group:&#x00a0; (P=0.0001) what test was used? Fisher&#x2019;s exact test, chi-squared test? or Pearson test?....</italic>
                </p>
                <p>
                    <italic> Same thing to the Screening of L119F-GSTe2&#x2026;.section (P &#x2a7d;0.001).</italic>
                </p>
                <p> Fisher&#x2019;s exact test was used to determine the significant levels (P-values) of the 
                    <italic>Plasmodium </italic>infection rates and L119F-GSTe2 allelic frequency of 
                    <italic>Anopheles funestus</italic> in the South compared to the North of Benin.</p>
                <p> 
                    <bold>
                        <underline>Figures and Tables</underline>
                    </bold>
                </p>
                <p> 
                    <bold>
                        <underline>Comment 5: </underline>
                    </bold>
                </p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>In all 
                                    <underline>Tables and figures</underline>, for clarity please add the collection dates in the title</italic>
                            </p>
                        </list-item>
                    </list> </p>
                <p> This comment has been addressed in the latest version of the article. See titles of figures and tables.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>
                                    <underline>Figure 3</underline>: The data represent mortality rate? means? medians? with 95 % confidence intervals? Please make clear.</italic>
                            </p>
                        </list-item>
                    </list> &#x00a0;</p>
                <p> The data on Figure 3 represents the mortality rates of mosquitoes subjected to insecticide susceptibility tests and error bars represent the standard deviation of the mean.</p>
                <p> &#x00a0; 
                    <list list-type="bullet">
                        <list-item>
                            <p>
                                <italic>
                                    <underline>Figure 4</underline>: What does f(S) and f(R) represent? Please specify in the title.</italic>
                            </p>
                        </list-item>
                    </list> &#x00a0;</p>
                <p> 
                    <bold>Figure 4</bold>: Allelic frequency of the L119F-GSTe2 mutation in wild 
                    <italic>Anopheles funestus </italic>populations (F0) from Kpome (South Benin), Doukonta (South Benin) and Tanongou (North Benin). f(S) represents frequency of susceptible allele and f(R) represents frequency of resistant allele in the species population.</p>
            </body>
        </sub-article>
    </sub-article>
    <sub-article article-type="reviewer-report" id="report18496">
        <front-stub>
            <article-id pub-id-type="doi">10.21956/wellcomeopenres.11002.r18496</article-id>
            <title-group>
                <article-title>Reviewer response for version 1</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Chouaibou</surname>
                        <given-names>Mouhamadou S.</given-names>
                    </name>
                    <xref ref-type="aff" rid="r18496a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0003-1859-1905</uri>
                </contrib>
                <aff id="r18496a1">
                    <label>1</label>Centre Suisse de Recherches Scientifiques en C&#x00f4;te d'Ivoire, Abidjan, Cote d'Ivoire</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>19</day>
                <month>12</month>
                <year>2016</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2016 Chouaibou MS</copyright-statement>
                <copyright-year>2016</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="relatedArticleReport18496" related-article-type="peer-reviewed-article" xlink:href="10.12688/wellcomeopenres.10213.1"/>
            <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 research question is clearly defined and the study design appropriate.</p>
            <p> </p>
            <p> The method section provides sufficient details to allow the repeatability of the work. In overall, the paper is scientifically good and provide relevant information on 
                <italic>Anopheles funestus</italic> bionomy in Benin. However, there is one minor change required; In the Methods section, susceptibility test paragraph, line 14, the author states that : &#x2018;The wild population of 
                <italic>An</italic>. 
                <italic>funestus</italic> was exposed to nontreated insecticide papers as a control 
                <underline>due to lack of susceptible strains of 
                    <italic>An. funestus</italic>, (
                    <italic>An. funestus</italic> FANG)</underline>&#x2019;. The author should remove the&#x00a0;underlined sentence as from WHO guideline, it is not required to use the susceptible strain as control.</p>
            <p> </p>
            <p> Comment/question</p>
            <p> </p>
            <p> Why has the author limited only to the determination of seasonal variation and infection rate?</p>
            <p> The author could have estimated passive aggression by dividing the number of mosquitoes collected per room by the number of sleepers in the room and then estimate the EIR.</p>
            <p>Reviewer Expertise:</p>
            <p>NA</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="comment2377-18496">
            <front-stub>
                <contrib-group>
                    <contrib contrib-type="author">
                        <name>
                            <surname>Djouaka</surname>
                            <given-names>Rousseau</given-names>
                        </name>
                        <aff>International institute of Tropical Agriculture, Benin</aff>
                    </contrib>
                </contrib-group>
                <author-notes>
                    <fn fn-type="conflict">
                        <p>
                            <bold>Competing interests: </bold>We disclose no competing interest.</p>
                    </fn>
                </author-notes>
                <pub-date pub-type="epub">
                    <day>19</day>
                    <month>12</month>
                    <year>2016</year>
                </pub-date>
            </front-stub>
            <body>
                <p>
                    <bold>Comment 1:&#x00a0;</bold>In the Methods section, susceptibility test paragraph, line 14, the author states that&#x00a0; &#x2018;The wild population of
                    <italic>An. funestus</italic>&#x00a0;was exposed to non treated insecticide papers as a control&#x00a0;
                    <underline>due to lack of susceptible strains of&#x00a0;
                        <italic>An. funestus</italic>, (
                        <italic>An. funestus</italic> FANG)</underline>&#x2019;</p>
                <p> The comment has been considered; the underlined statement&#x00a0;has been removed in the PDF version in the new version of this manuscript.</p>
                <p> 
                    <bold>Comment 2</bold>:&#x00a0;Why has the author limited only to the determination of seasonal variation and infection rate?</p>
                <p> The author could have estimated passive aggression by dividing the number of mosquitoes collected per room by the number of sleepers in the room and then estimate the EIR.</p>
                <p> These parameters were initially considered at the beginning of this study (the number of people who slept in the room). At some point, we noticed some inconsistencies in the number of sleepers provided by households. It was a bit difficult to verify this discrepancy because our mosquito sampling was done in the morning when most sleepers have left the rooms (morning collections). The best option was actually to use human landing collections for more accuracy of EIR but unfortunately this was not part of our study design hence, we limited our data to mosquito densities per room and&#x00a0;plasmodium infection rate.</p>
            </body>
        </sub-article>
    </sub-article>
</article>
