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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Ecol. Evol.</journal-id>
<journal-title>Frontiers in Ecology and Evolution</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Ecol. Evol.</abbrev-journal-title>
<issn pub-type="epub">2296-701X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fevo.2023.1215319</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Ecology and Evolution</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Transcriptome-based phylogenomic analysis reveals evidence of ancient hybridization events in the <italic>Mepraia</italic> genus (Hemiptera: Reduviidae: Triatominae)</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Belintani</surname>
<given-names>Tiago</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1147386"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Congrains</surname>
<given-names>Carlos</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1380966"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Pinotti</surname>
<given-names>Heloisa</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chahad-Ehlers</surname>
<given-names>Samira</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>de Brito</surname>
<given-names>Reinaldo A.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/36515"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Oliveira</surname>
<given-names>Jader</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1048121"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Frias-Lasserre</surname>
<given-names>Daniel</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/346876"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Fontes</surname>
<given-names>Felipe Mendes</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>da Rosa</surname>
<given-names>Jo&#xe3;o Aristeu</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1227540"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Institute of Biology, Campinas State University (Unicamp)</institution>, <addr-line>Campinas, SP</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Pharmaceutical Sciences, São Paulo State University (Unesp)</institution>, <addr-line>Araraquara, SP</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Department of Plant and Environmental Protection Services, University of Hawaii at Manoa</institution>, <addr-line>Honolulu, HI</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Department of Genetics and Evolution, Federal University of S&#xe3;o Carlos (UFSCar)</institution>, <addr-line>S&#xe3;o Carlos, SP</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Laboratory of Entomology in Public Health, Department of Epidemiology, Faculty of Public Health, University of S&#xe3;o Paulo</institution>, <addr-line>S&#xe3;o Paulo, SP</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Instituto de Entomologia, Univ. Metropolitana de Ciencias de la Educaci&#xf3;n</institution>, <addr-line>Santiago</addr-line>, <country>Chile</country>
</aff>
<aff id="aff7">
<sup>7</sup>
<institution>Post-Graduation Program in Health and Environment, Tiradentes University (UNIT)</institution>, <addr-line>Aracaju, SE</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Diego Baldo, CONICET Institute of Subtropical Biology (IBS), Argentina</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Julieta Nattero, Universidad de Buenos Aires, Argentina; Jiufeng Wei, Shanxi Agricultural University, China</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Tiago Belintani, <email xlink:href="mailto:tiagobellintani@gmail.com">tiagobellintani@gmail.com</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>11</day>
<month>07</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>11</volume>
<elocation-id>1215319</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>05</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>06</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Belintani, Congrains, Pinotti, Chahad-Ehlers, de Brito, Oliveira, Frias-Lasserre, Fontes and da Rosa</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Belintani, Congrains, Pinotti, Chahad-Ehlers, de Brito, Oliveira, Frias-Lasserre, Fontes and da Rosa</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>The <italic>Mepraia</italic> genus is composed of three endemic species in Chile, namely <italic>Mepraia spinolai</italic>, <italic>Mepraia gajardoi</italic>, and <italic>Mepraia parapatrica</italic>, all capable of transmitting the causative agent of Chagas disease. Although species divergence within this genus is supported by morphological, molecular, and geological evidence, it has never been validated by genome-wide data.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this sense, a pioneering phylogenomic study was conducted using transcriptome data of the three species, aiming to infer robust phylogenies and evaluate the impact of interspecific gene flow on the evolution of these insects. Our transcriptomes were used to robustly infer the phylogenetic relationships, employing multi-species coalescent and supermatrix approaches, as well as to investigate the occurrence of introgression.</p>
</sec>
<sec>
<title>Results and discussion</title>
<p>The inferred phylogenies support the monophyly of the three described taxa and infer divergence times, although gene trees display high levels of discordance. Our results indicate widespread introgression among <italic>Mepraia</italic> lineages. Thus, our results support that <italic>Mepraia</italic> diversification occurred in a short period resulting in reticulate phylogenies and low genetic diversity. Additionally, we obtained evidence of introgression suggesting that ancient hybridization has had a major role in the evolution of the three <italic>Mepraia</italic> species.</p>
</sec>
</abstract>
<kwd-group>
<kwd>interspecific gene flow</kwd>
<kwd>multi-species coalescent approach</kwd>
<kwd>introgression</kwd>
<kwd>ILS</kwd>
<kwd>reticulate&#xa0;phylogenies</kwd>
</kwd-group>
<contract-num rid="cn001">17/06460-4</contract-num>
<contract-num rid="cn002">Financing Code 001.</contract-num>
<contract-sponsor id="cn001">Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo<named-content content-type="fundref-id">10.13039/501100001807</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior<named-content content-type="fundref-id">10.13039/501100002322</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico<named-content content-type="fundref-id">10.13039/501100003593</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="1"/>
<equation-count count="0"/>
<ref-count count="130"/>
<page-count count="16"/>
<word-count count="8065"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Phylogenetics, Phylogenomics, and Systematics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<title>Introduction</title>
<p>The Andes Mountains are a continuous chain of mountains along the western coast of South America with average altitudes of ~4,000 meters above sea level, whose formation has had a profound impact on the geography and climate of this continent (<xref ref-type="bibr" rid="B51">Hartley, 2003</xref>; <xref ref-type="bibr" rid="B90">Moreira-Mu&#xf1;oz, 2011</xref>). For instance, in Chile, these mountains define a unique, long, and narrow coastal environment, which exhibits a highly diverse climate due to the wide latitudinal variation (<xref ref-type="bibr" rid="B90">Moreira-Mu&#xf1;oz, 2011</xref>). The uplift of the Andes has had a profound effect on the climate of the Southern Hemisphere, creating an extensive barrier to atmospheric circulation and promoting biogeographic changes that have affected the evolutionary history of local fauna and flora (<xref ref-type="bibr" rid="B95">Pirie et&#xa0;al., 2006</xref>; <xref ref-type="bibr" rid="B2">Antonelli et&#xa0;al., 2009</xref>). The uplift of the Andes has exerted a significant influence on the dispersal and diversification of a variety of South American organisms, such as plants, mammals, insects and specifically in triatomines (<xref ref-type="bibr" rid="B81">Mauseth, 1996</xref>; <xref ref-type="bibr" rid="B34">Doan, 2003</xref>; <xref ref-type="bibr" rid="B113">Struwe et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B89">Monteiro et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B93">Pavan et&#xa0;al., 2021</xref>).</p>
<p>The genus <italic>Mepraia</italic> Mazza, Gajardo and J&#xf6;rg, 1940 is a Triatominae Jeannel, 1919 endemic to arid and semi-arid regions (<xref ref-type="bibr" rid="B41">Fr&#xed;as-Lasserre et&#xa0;al., 2019</xref>). This previously considered monotypic genus (<xref ref-type="bibr" rid="B73">Lent et&#xa0;al., 1994</xref>), comprises three distinct species: <italic>Mepraia spinolai</italic> (<xref ref-type="bibr" rid="B96">Porter, 1933</xref>) <italic>Mepraia gajardoi</italic> (<xref ref-type="bibr" rid="B43">Fr&#xed;as-Lasserre et&#xa0;al., 1998</xref>), and <italic>Mepraia parapatrica</italic> (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). These species are of significant public health importance as they are involved in the sylvatic cycle of the etiologic agent (<xref ref-type="bibr" rid="B25">Chac&#xf3;n et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B69">Lambarri et&#xa0;al., 2018</xref>). <italic>M. gajardoi</italic> depends on seabirds as its main food source, as well as on lizards that inhabit coastal regions. <italic>M. parapatrica</italic> also feeds on these species but has been observed to include domesticated mammals in its diet when it invades human settlements (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). In contrast, <italic>M. spinolai</italic> prefers wild and domesticated mammals and exhibits a strong tendency to invade human habitats in Andean valleys, although it never feeds on seabirds (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>).</p>
<p>
<italic>Mepraia</italic> has unique attributes among the triatomines, such as diurnal feeding habits and wing polymorphism (<xref ref-type="bibr" rid="B38">Fa&#xfa;ndez and Carvajal, 2012</xref>; <xref ref-type="bibr" rid="B41">Fr&#xed;as-Lasserre et&#xa0;al., 2019</xref>). In summary, all <italic>Mepraia</italic> females are micropterous (with reduced wings), which may be a new or apomorphic characteristic of Triatominae (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). On the other hand, all <italic>M. gajardoi</italic> males are brachypterous (with short wings) (<xref ref-type="bibr" rid="B43">Fr&#xed;as-Lasserre et&#xa0;al., 1998</xref>), and although <italic>M. parapatrica</italic> males are mostly brachypterous, some are macropterous (with long wings) (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). In contrast, <italic>M. spinolai</italic> has both macropterous and brachypterous males (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>; <xref ref-type="bibr" rid="B41">Fr&#xed;as-Lasserre et&#xa0;al., 2019</xref>).</p>
<p>The studies on geographical distribution (<xref ref-type="bibr" rid="B19">Campos-Soto et&#xa0;al., 2020</xref>), molecular data (<xref ref-type="bibr" rid="B17">Campos-Soto et&#xa0;al., 2013</xref>; <xref ref-type="bibr" rid="B22">Campos-Soto et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>), morphology (<xref ref-type="bibr" rid="B18">Campos-Soto et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B42">Fr&#xed;as-Lasserre et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B41">Fr&#xed;as-Lasserre et&#xa0;al., 2019</xref>), and cytogenetics (<xref ref-type="bibr" rid="B43">Fr&#xed;as-Lasserre et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B41">Fr&#xed;as-Lasserre et&#xa0;al., 2019</xref>) provide support for the three species of <italic>Mepraia</italic>. However, although phylogenies with few genes support the described taxa (<xref ref-type="bibr" rid="B14">Calleros et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B17">Campos-Soto et&#xa0;al., 2013</xref>), there is no consensus on the genus diversification process.</p>
<p>Two hypotheses have been proposed to explain the diversification of <italic>Mepraia.</italic> The first suggests that the genus has originated due to a vicariant process followed by dispersion and isolation, which was potentiated by the arid climate of the region (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). This hypothesis is based on morphological and cytogenetic data which suggest that after the emergence of the Andes, and their separation from their ancestor, a process of dispersion and speciation occurred in a North&#x2013;South direction (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). According to this hypothesis, <italic>M. gajardoi</italic> is considered the most ancestral species, while <italic>M. parapatrica</italic> gave rise to <italic>M. spinolai</italic> after some cytogenetic alterations (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). This latter study suggests that the wing morphology supports the hypothesis that the macropterous wing structure of <italic>M. spinolai</italic> is derived from <italic>M. parapatrica</italic> and <italic>M. gajardoi</italic>, which have winged males with ancestral characteristics (<xref ref-type="bibr" rid="B43">Fr&#xed;as-Lasserre et&#xa0;al., 1998</xref>; <xref ref-type="bibr" rid="B40">Fr&#xed;as-Lasserre and Atria, 1998</xref>; <xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>).</p>
<p>The second and most recent proposal suggests that the diversification of <italic>Mepraia</italic> was also driven by geological changes and climatic fluctuations over the past 5 million years (<xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). In this model, there were two geographically isolated clades (<xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). The northern group gave rise to <italic>M. parapatrica</italic>, <italic>M. gajardoi</italic>, and a new lineage, while the southern group formed <italic>M. spinolai</italic>. However, this hypothesis is based only on data from three mtDNA genes (<xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>), and further studies are needed to confirm its validity.</p>
<p>Although there is still no definitive consensus on the processes that led to the diversification of <italic>Mepraia</italic>, recent research indicates that it likely occurred rapidly (<xref ref-type="bibr" rid="B61">Justi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B19">Campos-Soto et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). Several lines of evidence, such as genetic and phenotypic differences between populations, geographic and reproductive barriers, and molecular dating, suggest that there was rapid species diversification (<xref ref-type="bibr" rid="B14">Calleros et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>), though, currently, there are only a few studies that investigate levels of population isolation and gene flow between them. Resolving the phylogenetic relationships of groups that diverged recently can be challenging (<xref ref-type="bibr" rid="B106">Seehausen et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B80">Marques et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B119">Weng et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B29">Congrains et&#xa0;al., 2021</xref>) due to the retention of ancestral polymorphisms causing incomplete lineage sorting (ILS), introgression, and/or gene duplication (<xref ref-type="bibr" rid="B77">Mallet, 2005</xref>). This scenario can become even more complex if there has been ancient gene flow, which can produce conflicting phylogenetic signals throughout the genome (<xref ref-type="bibr" rid="B130">Zhou et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B37">Edelman et&#xa0;al., 2019</xref>). Multi-species coalescent methods have been useful in clarifying evolutionary relationships and mitigating the impact of deep coalescence (<xref ref-type="bibr" rid="B33">Degnan and Rosenberg, 2009</xref>; <xref ref-type="bibr" rid="B125">Young and Gillung, 2020</xref>).The combination of next-generation sequencing technologies and robust phylogenetic methods has effectively resolved ambiguous phylogenetic relationships for a variety of organisms (<xref ref-type="bibr" rid="B102">Rokas et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B35">Dunn et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B101">Regier et&#xa0;al., 2010</xref>; <xref ref-type="bibr" rid="B57">Irisarri et&#xa0;al., 2017</xref>) and may be useful in the study of <italic>Mepraia</italic>.</p>
<p>This study aimed to investigate phylogenomic relationships in the <italic>Mepraia</italic> genus for the first-time using transcriptome data from the heads and&#xa0;salivary glands of their three species. To do so, we also evaluated the impact of gene flow on the genus&#x2019; speciation by using different methodological approaches, which increases the reliability of the results. Concatenation-based approaches and multispecies coalescent methods were employed for this purpose, and the study also assessed the impact of ILS and introgression events on the inferred phylogenies.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<title>Materials and methods</title>
<sec id="s2_1">
<title>Sampling</title>
<p>The specimens used for this study were collected from six localities in Chile (<xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>), being two different localities per taxa (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1</bold>
</xref>). The specimens were deposited in the Triatominae Collections of the School of Pharmaceutical Sciences, S&#xe3;o Paulo State University (Unesp), Araraquara, SP, Brazil. The species-level identification was carried out by Dr. Daniel Fr&#xed;as-Lasserre based on morphological characters (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>).</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Specimens used in the study and SRA accession code on GenBank.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="top" align="left">Species</th>
<th valign="top" align="center">IDs</th>
<th valign="top" align="center">Data</th>
<th valign="top" align="center">Region of Chile</th>
<th valign="top" align="center">Habitat</th>
<th valign="top" colspan="2" align="center">Coordinates</th>
<th valign="top" align="center">Elevation</th>
<th valign="top" align="center">Accession code*</th>
</tr>
</thead>
<tbody>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai1</italic>
</td>
<td valign="top" align="center">03/12/18</td>
<td valign="top" align="center">Metropolitan</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 33&#xb0; 05.279&#x2019;</td>
<td valign="top" align="center">W 070 40.800&#x2019;</td>
<td valign="top" align="center">755 m</td>
<td valign="top" align="center">SRR23005999</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai2</italic>
</td>
<td valign="top" align="center">03/12/18</td>
<td valign="top" align="center">Metropolitan</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 33&#xb0; 05.279&#x2019;</td>
<td valign="top" align="center">W 070 40.800&#x2019;</td>
<td valign="top" align="center">755 m</td>
<td valign="top" align="center">SRR23005996</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai3</italic>
</td>
<td valign="top" align="center">03/14/18</td>
<td valign="top" align="center">Atacama</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 26&#xb0; 48.159&#x2019;</td>
<td valign="top" align="center">W 069 57.040&#x2019;</td>
<td valign="top" align="center">1916 m</td>
<td valign="top" align="center">SRR23006000</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai4</italic>
</td>
<td valign="top" align="center">03/14/18</td>
<td valign="top" align="center">Atacama</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 26&#xb0; 48.159&#x2019;</td>
<td valign="top" align="center">W 069 57.040&#x2019;</td>
<td valign="top" align="center">1916 m</td>
<td valign="top" align="center">SRR23005995</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai5</italic>
</td>
<td valign="top" align="center">03/14/18</td>
<td valign="top" align="center">Atacama</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 26&#xb0; 48.159&#x2019;</td>
<td valign="top" align="center">W 069 57.040&#x2019;</td>
<td valign="top" align="center">1916 m</td>
<td valign="top" align="center">SRR23006001</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai</italic>
</td>
<td valign="bottom" align="left">
<italic>M.&#xa0;spinolai6</italic>
</td>
<td valign="top" align="center">03/14/18</td>
<td valign="top" align="center">Atacama</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 26&#xb0; 48.159&#x2019;</td>
<td valign="top" align="center">W 069 57.040&#x2019;</td>
<td valign="top" align="center">1916 m</td>
<td valign="top" align="center">SRR23005994</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi7</italic>
</td>
<td valign="top" align="center">03/14/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 26&#xb0; 48.159&#x2019;</td>
<td valign="top" align="center">W 069 57.040&#x2019;</td>
<td valign="top" align="center">1916 m</td>
<td valign="top" align="center">SRR23006003</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi8</italic>
</td>
<td valign="top" align="center">03/18/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 21&#xb0; 08. 004&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 07.606&#x2019;</td>
<td valign="top" align="center">29 m</td>
<td valign="top" align="center">SRR23006002</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi9</italic>
</td>
<td valign="top" align="center">03/18/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 21&#xb0; 08. 004&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 07.606&#x2019;</td>
<td valign="top" align="center">29 m</td>
<td valign="top" align="center">SRR23005988</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi10</italic>
</td>
<td valign="top" align="center">03/18/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 21&#xb0; 00. 535&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 10. 104&#x2019;</td>
<td valign="top" align="center">23 m</td>
<td valign="top" align="center">SRR23005990</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi11</italic>
</td>
<td valign="top" align="center">03/18/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 21&#xb0; 00. 535&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 10. 104&#x2019;</td>
<td valign="top" align="center">23 m</td>
<td valign="top" align="center">SRR23005988</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. gajardoi</italic>
</td>
<td valign="bottom" align="left">
<italic>M. gajardoi12</italic>
</td>
<td valign="top" align="center">03/18/18</td>
<td valign="top" align="center">Tarapac&#xe1;</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 21&#xb0; 00. 535&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 10. 104&#x2019;</td>
<td valign="top" align="center">23 m</td>
<td valign="top" align="center">SRR23005991</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica13</italic>
</td>
<td valign="top" align="center">03/20/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 24&#xb0; 53. 571&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 31. 506&#x2019;</td>
<td valign="top" align="center">14 m</td>
<td valign="top" align="center">SRR23005987</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica14</italic>
</td>
<td valign="top" align="center">03/20/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 24&#xb0; 53. 571&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 31. 506&#x2019;</td>
<td valign="top" align="center">14 m</td>
<td valign="top" align="center">SRR23005992</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica15</italic>
</td>
<td valign="top" align="center">03/20/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">peridomicile</td>
<td valign="top" align="center">S 24&#xb0; 53. 571&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 31. 506&#x2019;</td>
<td valign="top" align="center">14 m</td>
<td valign="top" align="center">SRR23005986</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica16</italic>
</td>
<td valign="top" align="center">03/20/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 24&#xb0; 50. 062&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 32. 447&#x2019;</td>
<td valign="top" align="center">7 m</td>
<td valign="top" align="center">SRR23005993</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica17</italic>
</td>
<td valign="top" align="center">03/22/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 24&#xb0; 50. 062&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 32. 447&#x2019;</td>
<td valign="top" align="center">7 m</td>
<td valign="top" align="center">SRR23005998</td>
</tr>
<tr>
<td valign="bottom" align="left">
<italic>M. parapatrica</italic>
</td>
<td valign="bottom" align="left">
<italic>M. parapatrica18</italic>
</td>
<td valign="top" align="center">03/22/18</td>
<td valign="top" align="center">Antofagasta</td>
<td valign="top" align="center">wild</td>
<td valign="top" align="center">S 24&#xb0; 50. 062&#x2019;</td>
<td valign="top" align="center">W 070&#xb0; 32. 447&#x2019;</td>
<td valign="top" align="center">7 m</td>
<td valign="top" align="center">SRR23005997</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>*Accession Code GenBank/Bioproject PRJNA91646.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Map of Chile&#xa0;showing triatomine collection localities of <italic>M. gajardoi</italic>, <italic>M. parapatrica</italic>, and <italic>M. spinolai</italic>. The images of the specimens on the map do not represent the actual size proportion of the insect.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g001.tif"/>
</fig>
</sec>
<sec id="s2_2">
<title>RNA extraction, library preparation, and sequencing</title>
<p>Head and salivary glands of 5th instar male nymphs of <italic>M. garjadoi</italic> (n = 6), <italic>M. spinolai</italic> (n = 6), and <italic>M. parapatrica</italic> (n = 6) were carefully removed to preserve the integrity of the salivary glands. Total RNA of head and salivary glands of each specimen was extracted following a Trizol/Chloroform protocol (<xref ref-type="bibr" rid="B27">Chomczynski and Mackey, 1995</xref>). RNA integrity was checked visually on agarose gel and quantified using Qubit fluorometer, while NanoDrop measurements ensured the selection of samples with absorbance indices of 260/230 and 260/280 close to 2.0. In addition, we obtained the RNA integrity number (RIN) using capillary electrophoresis on an Agilent 2100 Bioanalyzer System (Agilent Technologies&#xae;, Standard Protocol for RNA). The value obtained from the RIN was 7.1 &#xb1; 0.3 in a sample group of 18. Libraries were constructed using the TruSeq<sup>&#xae;</sup> RNA Sample Prep kit v2 (Illumina) following the protocol suggested by the manufacturer and were ran in an Illumina HiSeq2500 platform with 2 &#xd7; 100 bp paired-end reads in the Laboratory for Functional Genomics Applied to Agriculture and Bioenergy of the Luiz de Queiroz College of Agriculture (ESALQ) at the University of S&#xe3;o Paulo (USP) in Brazil.</p>
</sec>
<sec id="s2_3">
<title>
<italic>De novo</italic> transcriptome assembly and transcript filtering</title>
<p>Raw reads were quality-trimmed using Trimmomatic v.0.39 (<xref ref-type="bibr" rid="B9">Bolger et&#xa0;al., 2014</xref>); setting the parameters: LEADING:5 TRAILING:5 SLIDINGWINDOW:5:20 MINLEN:50. All <italic>Mepraia</italic> assemblies were performed using a <italic>de novo</italic> strategy using the Trinity package v.2.9.1 (<xref ref-type="bibr" rid="B46">Grabherr et&#xa0;al., 2011</xref>). To optimize contig assembly, the filtered reads were normalized using a maximum depth of 60 using the insilico_read_normalization.pl tool, which is included in the Trinity v.2.9.1 package (<xref ref-type="bibr" rid="B46">Grabherr et&#xa0;al., 2011</xref>), retaining only contigs with minimum size of 200 bp. Assembly statistics were computed using the TrinityStats.pl Perl script contained in the Trinity package. To mitigate the likelihood of including false and redundant transcripts, only the most expressed isoform per Trinity cluster was retained using the perl script align_and_estimate_abundance.pl available in Trinity. Redundant transcripts with &#x2265;95% of identity was filtered out using CD-HIT-EST v. 4.7 (<xref ref-type="bibr" rid="B44">Fu et&#xa0;al., 2012</xref>). The filtered transcriptomes were used for downstream analyses. The completeness of the transcriptome assembly was assessed using BUSCO v. 4.0.2 (<xref ref-type="bibr" rid="B108">Sim&#xe3;o et&#xa0;al., 2015</xref>) which was used to estimate the proportion of all single copy, duplicate and missing orthologs that are represented in the arthropod dataset (<xref ref-type="bibr" rid="B67">Kriventseva et&#xa0;al., 2019</xref>).</p>
</sec>
<sec id="s2_4">
<title>Prediction of coding sequences</title>
<p>We used the software Transdecoder 5.5.0 (<xref ref-type="bibr" rid="B49">Haas et al., 2013</xref>) to identify putative coding sequences (CDSs). First, TransDecoder.LongOrfs was used to retain CDSs encoding peptides greater than 100aa. In the next step, inferred peptides were submitted to the tool HMMER 3.1b2 package (<xref ref-type="bibr" rid="B36">Eddy, 2011</xref>) to search for conserved domains using PFAM-A (<xref ref-type="bibr" rid="B87">Mistry et&#xa0;al., 2021</xref>) database. We also aligned the putative peptides against the GenBank non-redundant (nr) protein database using BLAST+ 2.10.1 (<xref ref-type="bibr" rid="B15">Camacho et&#xa0;al., 2009</xref>). The TransDecoder.Predict utility fetched information generated in previous steps to predict CDSs.</p>
</sec>
<sec id="s2_5">
<title>Functional annotation</title>
<p>We used BLASTp (2.10.1) (<xref ref-type="bibr" rid="B15">Camacho et&#xa0;al., 2009</xref>) to search for regions with significant similarity to the putative CDSs against the Genbank (nr) Arthropoda v5 non-redundant protein database. Hits with e-value lower than 10<sup>&#x2212;6</sup> were considered significant. Putative CDSs were also scanned for the presence of conserved protein domains using InterProScan v. 5.24 (<xref ref-type="bibr" rid="B60">Jones et&#xa0;al., 2014</xref>). Blast2GO program (<xref ref-type="bibr" rid="B28">Conesa et&#xa0;al., 2005</xref>) was used to associate each CDS with gene ontology (GO) terms (<xref ref-type="bibr" rid="B50">Harris et al., 2004</xref>). We used the WEGO tool (<xref ref-type="bibr" rid="B124">Ye et al., 2006</xref>; <xref ref-type="bibr" rid="B123">2018</xref>) to plot mapped GO terms.</p>
</sec>
<sec id="s2_6">
<title>Phylogenetic analyses</title>
<sec id="s2_6_1">
<title>Coalescent-based species tree inference with SNP data</title>
<p>We estimated a species-level phylogenetic analysis using SNP data under the coalescent framework model with three species of <italic>Mepraia</italic> and <italic>T. infestans</italic> as an outgroup. <italic>T. infestans</italic> is the closest species to <italic>Mepraia</italic> for which there are large-scale data available. For this, inferred CDSs from each sample were mapped against the genome of <italic>T. infestans</italic> (GCA_011037195.1) using the &#x2013;nofw and &#x2013;very-sensitive options in Bowtie2 (<xref ref-type="bibr" rid="B71">Langmead and Salzberg, 2012</xref>). Duplicate PCR reads were removed using MarkDuplicates in the Picard tools available in <ext-link ext-link-type="uri" xlink:href="https://broadinstitute.github.io/picard/">https://broadinstitute.github.io/picard/</ext-link>. SNP calling was performed using the mpileup tool from the Samtools package (<xref ref-type="bibr" rid="B74">Li et&#xa0;al., 2009</xref>) and mpileup2snp from VarScan2 (<xref ref-type="bibr" rid="B65">Koboldt et&#xa0;al., 2009</xref>), using the following parameters for the latter: a mapping quality of 20 and average Phred quality of 30, minimum coverage of 6 and strand filter (removed variants with more than 90% supported by only one strand). We also applied a high-filtered approach in SNPs to retain only the most suitable for phylogenetic analysis using Bcftools 1.9 (<xref ref-type="bibr" rid="B31">Danecek et&#xa0;al., 2021</xref>). For that, we excluded sites where no alternative alleles were called in one of the samples, all sites where only alternative alleles are called, and sites where the proportion of missing data is greater than 20% (&#x201c;F_MISSING &gt; 0.2&#x201d;). We also ensured the presence of only biallelic SNPs in the dataset using the -m and -M commands in Bcftools 1.9 (<xref ref-type="bibr" rid="B31">Danecek et&#xa0;al., 2021</xref>).</p>
<p>The unlinked biallelic SNPs detected in all samples (excluding sites with missing data) were used to construct an extensive matrix of SNPs (60,685 characters), which was used to infer species trees using SVDquartets (<xref ref-type="bibr" rid="B26">Chifman and Kubatko, 2015</xref>) and SNAPP (<xref ref-type="bibr" rid="B13">Bryant et&#xa0;al., 2012</xref>). Using both SVDquartets and SNAPP techniques can improve the accuracy of inferring phylogenetic trees from biallelic SNPs by overcoming the limitation of few SNPs and providing a more complex evolutionary model to consider mutation and recombination rates.</p>
<p>The species tree inferred on SVDquartets (<xref ref-type="bibr" rid="B26">Chifman and Kubatko, 2015</xref>) was implemented in PAUP* (Phylogenetic Analysis Using Parsimony) (<xref ref-type="bibr" rid="B114">Swofford, 2002</xref>). We evaluated all possible quartets, both with and without prior assignment using non-parametric methods generated from 100,000 quartets and 1,000 bootstrap replicates. In the Bayesian coalescent multispecies analysis in SNAPP (<xref ref-type="bibr" rid="B13">Bryant et&#xa0;al., 2012</xref>), implemented in BEAST2.5 (<xref ref-type="bibr" rid="B11">Bouckaert et&#xa0;al., 2019</xref>), we performed two independent runs with a chain length of 10<sup>9</sup> generations, sampling every 1,000 generations. We checked for convergence (ESS&gt;200) and determined the burnin (10%) using TRACER v1.6 (<xref ref-type="bibr" rid="B99">Rambaut and Drummond, 2007</xref>). A maximum clade credibility (MCC) tree was summarized with TreeAnnotator and visualized in FigTree. Additionally, we generated a density tree using Densitree (<xref ref-type="bibr" rid="B10">Bouckaert, 2010</xref>) to describe alternative topologies.</p>
</sec>
<sec id="s2_6_2">
<title>Ortholog inference, supermatrix approach, and coalescent-based species tree inference</title>
<p>To predict orthologs from transcriptomes of non-model organisms, we used a pipeline developed by <xref ref-type="bibr" rid="B122">Yang and Smith (2014)</xref> using the inferred CDS sequences as input. This analysis was performed on the 18 transcriptome assemblies produced in this study, along with <italic>T. infestans</italic> (Accession code: SRR4427079) as an outgroup. The SRR442779 data was processed along with the samples collected in this study as described above. The CDSs predicted from the 19 transcriptomes were submitted to all-by-all BLAST using BLASTn (2.12.0) (<xref ref-type="bibr" rid="B15">Camacho et&#xa0;al., 2009</xref>) setting relaxed parameters (hit_fraction_cutoff = 0.4, inflation = 1.4) and filtered by the MLC program (<xref ref-type="bibr" rid="B116">Van Dongen, 2008</xref>). Clusters were used to estimate trees of putative homologs as described in <xref ref-type="bibr" rid="B122">Yang and Smith (2014)</xref>. We used the script python &#x201c;filter_1to1_orthologs&#x201d; described by <xref ref-type="bibr" rid="B122">Yang and Smith (2014)</xref> to retain only putative orthologs to infer phylogenetic relationships, as described below. We combined putative orthologs in a supermatrix, which were aligned with MAFFT v.7.305 (<xref ref-type="bibr" rid="B63">Katoh and Toh, 2008</xref>). Phyutility v.2.2.6 (<xref ref-type="bibr" rid="B109">Smith and Dunn, 2008</xref>) was used to trim the aligned ortholog clusters, with a configuration of 0.3 for MIN_COLUMN_OCCUPANCY. The alignments were concatenated using the python scripty &#x201c;concatenate_matrices&#x201d; (<xref ref-type="bibr" rid="B122">Yang and Smith, 2014</xref>) and trimmed using trimAl v.1.2 (<xref ref-type="bibr" rid="B23">Capella-Guti&#xe9;rrez et&#xa0;al., 2009</xref>). The orthologous inference resulted in a total of 3,245 orthologous cluster that were used in the downstream analyses. We constructed a supermatrix with 3,245 regions aligned orthologs to infer phylogenetic relationships using maximum likelihood (ML) in RAxML v.8.2.9 (<xref ref-type="bibr" rid="B112">Stamatakis, 2006</xref>). Evolutionary models for each orthologous cluster partition were evaluated independently under the GTRCAT model with sampling of 200 bootstrap replicates. The tree obtained was visualized in FigTree.</p>
<p>We used the 3,245 gene trees estimated in RaxML as input to estimate species trees in ASTRAL-III 5.7.8 (<xref ref-type="bibr" rid="B128">Zhang et&#xa0;al., 2018</xref>). ASTRAL-III 5.7.8 uses the quartet trees of the maximum likelihood phylogenies of each gene to produce the species tree topology and calculates the quartet support, which is the percentage of quartets that agree on a specific branch in the species tree. Our focus is on <italic>Mepraia</italic> species, so we inferred the coalescent tree of species in this group with <italic>T. infestans</italic> as an outgroup. The inferred species tree in newick format was visualized in FigTree (<xref ref-type="bibr" rid="B98">Rambaut, 2014</xref>).</p>
<p>We used SODA (<xref ref-type="bibr" rid="B97">Rabiee and Mirarab, 2021</xref>) implemented in ASTRAL-III 5.7.8 to narrow down candidate putative species for testing hybridization in a downstream analysis. SODA uses quartet topology frequencies to determine whether each branch in a guide tree inferred from gene trees is likely to have a positive length and uses the results to infer a new species tree that defines species boundaries. The analysis was performed with a cut-off p-value of 0.001. We used the species tree obtained by ASTRAL-III 5.7.8 and the 3,245 gene trees obtained by RAxML to characterize the potential conflict between the gene trees using PhyParts (<xref ref-type="bibr" rid="B110">Smith et&#xa0;al., 2015</xref>). A bipartition analysis was performed using the default bootstrap filter, ignoring edges with bootstrap values &lt; 50% (<xref ref-type="bibr" rid="B110">Smith et&#xa0;al., 2015</xref>).</p>
</sec>
</sec>
<sec id="s2_7">
<title>mtDNA-based phylogeny</title>
<p>The phylogenetic relationship among <italic>Mepraia</italic> was also inferred using COI mtDNA. For this, we accessed <italic>Mepraia</italic> sequences available on the GenBank (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S5</bold>
</xref>). We accessed data of <italic>T. breyeri</italic> (Del Ponte, 1929) and <italic>T. eratyrusiformis</italic> (Del Ponte, 1929), which were used as outgroups because of their phylogenetic proximity to the <italic>Mepraia</italic> genus (<xref ref-type="bibr" rid="B56">Hyp&#x161;a et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B62">Justi et&#xa0;al., 2014</xref>). <italic>Triatoma</italic> is a paraphyletic genus of Triatominae, which makes some of their species phylogenetically closer to <italic>Mepraia</italic> than others (<xref ref-type="bibr" rid="B62">Justi et&#xa0;al., 2014</xref>). BLASTn (<xref ref-type="bibr" rid="B15">Camacho et&#xa0;al., 2009</xref>) was used to compare the set of transcriptomes against <italic>Mepraia</italic> COI sequences. The COI sequences were aligned using MAFFT v.7.305 (<xref ref-type="bibr" rid="B63">Katoh and Toh, 2008</xref>) and manually trimmed. Phylogenetic trees were inferred by Bayesian inference using MrBayes v3.2.6 (<xref ref-type="bibr" rid="B103">Ronquist et&#xa0;al., 2012</xref>) and the most likely evolutionary models selected by jModelTest2 (<xref ref-type="bibr" rid="B32">Darriba et&#xa0;al., 2012</xref>). In MrBayes v3.2.6 Markov chain Monte Carlo (MCMC) was used to approximate the posterior probability (<xref ref-type="bibr" rid="B86">Metropolis et&#xa0;al., 1953</xref>) with two independent runs of four MCMC chains for 1 x 10<sup>7</sup> generations performed with sampling of every 5,000 generations. Phylogenetic tree parameters reached stationarity after a burning period of 250,000 generations. Optimal trees were then sampled every 1,000 generations to obtain the final consensus tree and associated subsequent probabilities, which was visualized in FigTree (<xref ref-type="bibr" rid="B98">Rambaut, 2014</xref>). The COI sequences were used to estimate genetic distances, according to the Kimura 2-parameter model (<xref ref-type="bibr" rid="B64">Kimura, 1980</xref>) using MEGAX 10.2.6 (<xref ref-type="bibr" rid="B68">Kumar et&#xa0;al., 2018</xref>).</p>
</sec>
<sec id="s2_8">
<title>FBD-based divergence dating</title>
<p>We used 3,245 concatenated orthologs to estimate the divergence time. For this, we used a stochastic branching process and relaxed clock model in a Bayesian framework using BEAST v2.6.1 (<xref ref-type="bibr" rid="B11">Bouckaert et&#xa0;al., 2019</xref>) under the Fossilized Birth-Death (FBD model) (<xref ref-type="bibr" rid="B52">Heath et&#xa0;al., 2014</xref>). The FBD model has become the most appropriate way to calibrate divergence time estimates when calibration dates represent fossil occurrence times (<xref ref-type="bibr" rid="B52">Heath et&#xa0;al., 2014</xref>). Thus, the time of occurrence of the fossil triatomine <italic>Panstrogylus hispaniolae</italic> (Ponair, 2013) was integrated, which is dated between ~20&#x2013;15 million years ago (Mya). We integrated the species <italic>T. infestans</italic> with dates between 10 and 2 Mya to represent the uplift of the Andes (5 to 2 Mya) that supports the separation of <italic>Mepraia</italic> from other Argentine triatomines (<xref ref-type="bibr" rid="B61">Justi et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). Independent analyses of MCMC were performed with sampling every 5,000 generations. The convergence (ESS &gt;200) evaluated by Tracer v1.7 (<xref ref-type="bibr" rid="B100">Rambaut et&#xa0;al., 2018</xref>) occurred after 5x10<sup>9</sup> generations. The first 50% tree topologies sampled were discarded as burn-in and the remaining trees were summarized in TreeAnnotator v2.5 (<xref ref-type="bibr" rid="B11">Bouckaert et&#xa0;al., 2019</xref>). The generated trees and the credibility intervals were visualized in FigTree (<xref ref-type="bibr" rid="B98">Rambaut, 2014</xref>).</p>
</sec>
<sec id="s2_9">
<title>Introgression detection</title>
<p>ABBA-BABA tests were conducted (<xref ref-type="bibr" rid="B92">Patterson et&#xa0;al., 2012</xref>) to investigate potential introgression between <italic>Mepraia</italic> species. All reads were merged with the SamTools &#x201c;merge&#x201d; option (<xref ref-type="bibr" rid="B74">Li et&#xa0;al., 2009</xref>). The tests were performed using the Abbababa script implemented by ANGSD (<xref ref-type="bibr" rid="B66">Korneliussen et&#xa0;al., 2014</xref>). For this, the <italic>T. infestans</italic> transcriptome (GenBank: SRR4427079) was used as an outgroup and a reference for mapping. The ABBA-BABA test compares the segregation of the biallelic polymorphism of four samples (H1, H2, H3 and H4), where H1, H2 and H3 represent the inner group and H4 the outer group. Introgression was estimated using the D statistics, which is calculated from the deviations in the proportions of alleles shared between H2 and H3 (ABBA) and H1 and H2 (BABA). A jack-knife approach was also used to calculate the D corrected for bias, standard error D-statistics and Z-test (<xref ref-type="bibr" rid="B111">Soraggi et&#xa0;al., 2017</xref>).</p>
<p>HyDe (<xref ref-type="bibr" rid="B8">Blischak et&#xa0;al., 2018</xref>) was also used to detect introgression using the supermatrix with 3,245 aligned orthologous clusters of <italic>Mepraia</italic>. To detect phylogenetic invariants, HyDe uses a rooted network of four taxa, one of which is the outgroup and three triplets (two possible progenitors and one hybrid). For all analyses, we incorporated a Bonferroni correction and considered significance at &#x3b1; &lt;0.05, with &#x3b3; estimates between 0 and 1. Z-scores greater than 3 were interpreted as evidence of introgression.</p>
<p>As we found evidence of gene flow between <italic>Mepraia</italic> species, we inferred phylogenetic networks to detect hybridization events, visualized as reticulations in the network (<xref ref-type="bibr" rid="B55">Huson and Scornavacca, 2011</xref>), inferred from 3,245 clusters of <italic>Mepraia</italic> orthologs using pseudo-maximum likelihood approach (<xref ref-type="bibr" rid="B127">Yu and Nakhleh, 2015</xref>) implemented in PhyloNet v. 3.6.1 (<xref ref-type="bibr" rid="B115">Than et al., 2008</xref>). PhyloNet estimates the topology of the network and the probability of inheritance (&#x3b3;) which is the probability of hybridization considering the population of two parents (<xref ref-type="bibr" rid="B126">Yu et&#xa0;al., 2012</xref>). We built four networks varying the reticulation number from 0 to 4 and defining taxa groups corresponding to each clade of the species-tree. The optimal network for each run was selected based on the highest log probability after 500 searches. The probability of the best network for each run was also compared to choosing the optimal number of crosslinks reticulations in the network.</p>
<p>We examined estimated coalescent branch lengths using ASTRAL III v. 5.7.3 to quantify the expectations of incomplete lineage sorting (ILS) along the tree. For the incomplete lineage sorting (ILS) test with the best ML nuclear gene trees from RAxML and 200 bootstraps (BS), we used ASTRAL III v 5.7.3. We also applied the JML test (<xref ref-type="bibr" rid="B59">Joly, 2012</xref>) with all 3,245 orthologous clusters concatenated as input to test introgression based on genetic distances (<xref ref-type="bibr" rid="B59">Joly, 2012</xref>). The input posterior distributions of the species trees were generated with *BEAST (<xref ref-type="bibr" rid="B53">Heled and Drummond, 2010</xref>) implemented in BEAST v.2.5 (<xref ref-type="bibr" rid="B11">Bouckaert et&#xa0;al., 2019</xref>) for 5 &#xd7; 10<sup>9</sup> generations of tree sampling, which were tested with JML.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<title>Results</title>
<sec id="s3_1">
<title>
<italic>De novo</italic> transcriptome assembly and quality assessment</title>
<p>The 18 RNA libraries from head and salivary glands of the three <italic>Mepraia</italic> species generated a total of 267,766,381 reads of length of 100 bp, with an average of 15 million reads per library. The six libraries per species generated 83,257,292, 91,093,659 and 93,415,430 reads for <italic>M. gajardoi, M. parapatrica</italic>, and <italic>M. spinolai</italic>, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). After trimming, a total of 239,843,935 reads were obtained, with an average of 14 million reads per library (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). After trimming, libraries by species retained approximately 83, 81 and 73 million reads of <italic>M. gajardoi</italic>, <italic>M. parapatrica</italic>, and <italic>M. spinolai</italic>, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S1</bold>
</xref>). Transcriptome assemblies had an average of 49,925 unigenes for <italic>M. spinolai</italic>, 54,553 for <italic>M. garjadoi</italic> and 50,975 for <italic>M. parapatrica</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S2</bold>
</xref>). The BUSCO tool indicated that these unigenes were composed of 71&#x2013;92% complete orthologs and 2&#x2013;7% of fragmented groups for <italic>M. gajardoi</italic>, 88&#x2013;91.9% and 3&#x2013;4% for <italic>M. parapatrica</italic>, and 83.4&#x2013;90.1% and 2&#x2013;8% for <italic>M. spinolai</italic>, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S3</bold>
</xref>). All assemblies had an average of 10% of missing orthologs.</p>
</sec>
<sec id="s3_2">
<title>Identification of coding regions and functional annotation</title>
<p>The CDS predictions resulted in an average of 22,955, 22,028 and 20,785 CDS in the transcriptomes of <italic>M. gajardoi</italic>, <italic>M. parapatrica</italic>, and <italic>M. spinolai</italic>, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). The search against the NCBI&#x2019;s non-redundant protein database using BLASTP resulted in between 9&#x2013;17 thousand matches with the <italic>M. spinolai</italic> data, from 7 to 19 thousand with <italic>M. garjadoi</italic> and from 13 to 17 thousand with the <italic>M. parapatrica</italic> data (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). We found on average 14,145, 12,885 and 12,038 proteins with InterPro signatures in the transcriptomes of <italic>M. garjadoi</italic>, <italic>M. spinolai</italic> and <italic>M. parapatrica</italic>, respectively (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). The functional annotation through Blast2GO retrieved an average of 10,200 annotated genes in the 18 transcriptome assemblies. On average, we found 8,684 GO terms related to Molecular Function, 5,139 GO terms for Biological Process terms and 2,736 GO terms for Cellular Component (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S4</bold>
</xref>). WEGO predictions in this study were distributed into 45 ontological categories from the three classes: Biological Process (n=16), Molecular Function (n=14), and Cellular Component (n=15) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S1</bold>
</xref>).</p>
</sec>
<sec id="s3_3">
<title>Phylogenomic analyses</title>
<sec id="s3_3_1">
<title>Coalescent-based species tree inference with SNP data</title>
<p>The SNP calling performed on the dataset containing 19 samples, including six samples from each <italic>Mepraia</italic> species and one external group, resulted in the identification of 60,085 biallelic unlinked SNPs. The SNP matrix analyzed under the SVD quartet method resulted in a phylogeny with local posterior probability with robust support (LPP &#x2265; 1) (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). The consensus tree generated by the SNAPP coalescent model is consistent with the quartet results, both inferences recovering <italic>M. gajardoi</italic> and <italic>M. parapatrica</italic> as sister species, and <italic>M. spinolai</italic> separated from the other species. On the other hand, density trees illustrate a high number of alternative topologies (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). The agreement between the SVDquartets results and other methods reinforces confidence in the most supported topology. However, the presence of many alternative topologies in density trees suggests that some regions of the genome may have conflicting signals or incomplete lineage sorting.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Inferred species trees with over 60,685 unliked biallelic SNPs under two different coalescent models. <italic>T. infestans</italic> species was used as an outgroup. <bold>(A)</bold> Overlapping species tree and density inferred from SNPs data in the SNAPP. The clade&#x2019;s maximum credibility tree is in black, and alternative topologies are drawn in different colors, where blue represents the most favorable, followed by red and green. <bold>(B)</bold> Species tree inferred with SNPs with SVDquartets.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g002.tif"/>
</fig>
</sec>
<sec id="s3_3_2">
<title>Ortholog inference, supermatrix approach, and coalescent-based species tree inference</title>
<p>The study resulted in the identification of 3,245 putative orthologous clusters which were used for downstream analyses. The orthologs were concatenated to generate a matrix with 19 taxa, 4,105,693 characters and 72% occupation with approximately 28% of missing data. The concatenated-based phylogenetic inference using Maximum Likelihood resulted in three well-supported clades that separated the species of the genus, with the species <italic>M. gajardoi</italic> and <italic>M. parapatrica</italic> as sister taxa (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S2</bold>
</xref>).</p>
<p>The species tree estimated by the coalescent model implemented in ASTRAL-III 5.7.8 with 3,245 gene trees generated 2,903,954 quartets, of which 72% are congruent with the main topology (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). The greedy consensus of the 100 bootstrap replicates of the phylogenetic trees provided strong support for species delimitation, showing that <italic>M. gajardoi</italic> and <italic>M. parapatrica</italic> are phylogenetically close, while <italic>M. spinolai</italic> is divergent in relation to these two species (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). The contrasting analysis of the results of the concatenated data was useful to show that a high percentage of gene trees have incongruent topologies with the inferred species tree for <italic>Mepraia</italic> (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). SODA species delimitation analysis supports three monophyletic lineages consistent with the three described taxa (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>
<bold>(A)</bold> Species tree generated using ASTRAL-III based on 3,245 single copy gene trees and delimitation species with SODA. Values above branches (in black) are branch support values obtained by ML with RAxML with 200 bootstrapping analysis and below branches (in red) are local posterior probabilities values for ASTRAL-III 5.7.8 with best maximum probability trees, respectively. The delimitation of species obtained with SODA is represented by the letters: A: <italic>M. parapatrica</italic>, B: <italic>M. gajardoi</italic>, C: <italic>M. spinolai</italic> and D: <italic>T. infestans</italic>. <bold>(B)</bold> Astral species tree based on 3,245 gene trees with a summary of conflict and concordant homologs. For each branch, the number of homologs concordant (top) or in conflict (bottom) with the species tree at each node is indicated. Blue: support the shown topology, Green: conflict with the shown topology (most common conflicting bipartition), Red: conflict with the shown topology (all other supported conflicting bipartitions), and have no support for conflicting bipartition).</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g003.tif"/>
</fig>
<p>Despite the high support for branching species in our analyses, the support values for quartets reveal a high level of discordance among gene trees. With PhyParts it was possible to analyze the 3,245 trees for the presence of conflict, agreement, and gene duplications in individual homologs throughout the phylogeny. The bipartition analyses were performed on modified phylogenetic trees that retained only branches with at least 50% bootstrap support. Although we inferred a dominant topology for the 3,245 orthologs clusters, our results indicate widespread discordance among gene trees (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). However, the proportion of concordant trees shows little conflict with the dominant topology (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>), and the small proportion of conflicting bipartitions (green slice) supports a low number of alternative topologies. We also observe a high number of low-frequency topologies (red slice).</p>
</sec>
</sec>
<sec id="s3_4">
<title>mtDNA-based phylogeny</title>
<p>Based on mtDNA and Bayesian theory, the phylogeny inferred by Bayesian inference (BI) of the mitochondrial COI gene (57 taxa, 509 bp) identified three clades with high support (BPP 100), which are congruent with the <italic>Mepraia</italic> species (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). This analysis also supported the monophyly of the genus <italic>Mepraia</italic> and indicated <italic>M. garjadoi</italic> and <italic>M. parapatrica</italic> as sister species (BPP 0.97) separated from <italic>M. spinolai</italic> (BPP 100) (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). The sequences obtained from the transcriptomes of this study were also grouped into clades consistent with the species tree of the genus (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S3</bold>
</xref>). Our values estimated under the Kimura 2-parameter model (K2P) suggest a low to moderate divergence between the compared species (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S6</bold>
</xref>).</p>
</sec>
<sec id="s3_5">
<title>FBD-based divergence dating</title>
<p>The FBD-based divergence dating analysis estimated the origin of <italic>Mepraia</italic> to be between 1.21 and 2.31 Mya, with 2.31 being that of the stem group and 1.21 being the most recent possible (95% HPD, PP=1.0) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). The analysis indicates that the separation of <italic>M. spinolai</italic> and the ancestor of the two other species happened between 0.07 and 1.61 Mya (PP=1.0), whereas the clades for the other taxa have more recent estimated dates, of 0.05 and 1.18 Mya for <italic>M. parapatrica</italic> (PP=1.0) and 0.04&#x2013;0.36 Mya for <italic>M. gajardoi</italic> (PP=1.0) (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Phylogenetic tree base on Fossilized Birth-Death process representing the divergence time estimates of <italic>Mepraia</italic> species. The phylogeny was generated with a set of 3,245 orthologs. The calibration used the estimated date for dating the triatomine fossil <italic>Panstrongylus hispaniolae</italic> (~20&#x2013;15 Mya). The horizontal blue bars at the nodes represent the 95% highest posterior density (HPD) intervals of the estimated node ages. The numbers on the main nodes represent ages of lineage divergence as well as the confidence intervals.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g004.tif"/>
</fig>
</sec>
<sec id="s3_6">
<title>Introgression detection</title>
<p>The ABBA-BABA test showed significant signs of introgression between <italic>M. parapatrica</italic> and <italic>M. spinolai</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S7</bold>
</xref>) (D-statistics = 0.158, Z-score 4.43 (<xref ref-type="fig" rid="f5">
<bold>Figure&#xa0;5</bold>
</xref>). The HyDe analysis also showed signs of significant hybridization for the <italic>M. parapatrica</italic> clade treated as for all triplets evaluated as species and individual (<xref ref-type="supplementary-material" rid="SM1">
<bold>Tables S7</bold>
</xref>&#x2013;<xref ref-type="supplementary-material" rid="SM1">
<bold>S11</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Results of the four-taxa ABBA-BABA test used to detect introgression among three species of <italic>Mepraia.</italic> The topology shows two possible discordant gene tree patterns, ABBA, and BABA, which normally occur in equal proportions under incomplete lineage classification, with A and B denoting the ancestral and derived allele states, respectively.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g005.tif"/>
</fig>
<p>The maximum pseudo-likelihood Inference (MPL) model implemented in PhyloNet provided support for introgression among <italic>Mepraia</italic> species (<xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6</bold>
</xref>). We tested up to four reticulation events and the plateau was reached after two reticulations (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S4</bold>
</xref>). The network with zero reticulations was consistent with the phylogenies inferred through different methodologies in this study, and the network with the highest probability showed introgression between the ancestral of <italic>M. parapatrica</italic> and <italic>M. gajardoi</italic> (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S5</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>Pseudo-maximum-likelihood species networks of lineages showing signs of reticulation in <italic>Mepraia</italic>. Networks were inferred using a set of 3,245 orthologs. The network with the optimum number of reticulations is shown. Inheritance probabilities (<italic>&#x3b3;</italic>) are shown in blue. .</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fevo-11-1215319-g006.tif"/>
</fig>
<p>ASTRAL-III showed that short branches were recovered for both main clades (<xref ref-type="supplementary-material" rid="SM1">
<bold>Figure S5</bold>
</xref>), indicating the presence of high levels of gene tree discordance that may be explained by ILS. However, the JML analysis using our cluster of 3,245 orthologs indicated that all comparisons were significant (p &lt; 0.1) and provide evidence of hybridization between the compared sequences (<xref ref-type="supplementary-material" rid="SM1">
<bold>Table S12</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<title>Discussion</title>
<p>This study contributed important genetic resources for the subfamily Triatominae, generating transcriptome of heads and salivary glands of <italic>M. gajardoi</italic>, <italic>M. parapatrica</italic> and <italic>M. spinolai</italic>. These species have epidemiological importance, as they are part of the wild cycle of <italic>T. cruzi</italic> in Chile (<xref ref-type="bibr" rid="B20">Campos-Soto et&#xa0;al., 2016</xref>). The 18 RNA libraries (six samples per species) generated transcriptome assemblies with similar quality metrics to other available Triatominae transcriptomes (<xref ref-type="bibr" rid="B4">Assump&#xe7;&#xe3;o et&#xa0;al., 2011</xref>; <xref ref-type="bibr" rid="B79">Marchant et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B24">Carvalho et&#xa0;al., 2017</xref>; <xref ref-type="bibr" rid="B12">Brito et&#xa0;al., 2019</xref>). Transcriptome assemblies from the three species of <italic>Mepraia</italic> showed similar metrics, with N50 on average of 1,300 bp, which is in the range of N50 metrics of other available. Completeness and redundancy metrics are crucial for genomic studies, and in addition to N50, we used the BUSCO tool to estimate completeness using the Arthropoda database. Our transcriptomes contained between 71% and 90% complete orthologs, indicating a high percentage of complete copies for most predicted genes. The number of duplications and CDS annotations in downstream analysis correlated with the transcriptome quality.</p>
<p>Our transcriptomes provided a vast amount of data that allowed us to investigate the phylogenetic relationships of <italic>Mepraia.</italic> To identify strictly orthologous nuclear gene clusters, we employed the strategy described by <xref ref-type="bibr" rid="B122">Yang and Smith (2014)</xref> for non-model organisms, resulting in a total of 3,245 gene clusters. Our supermatrix has an overall occupancy of 72%, with about 28% of data missing from the matrix. Although the occupancy rate varied for each taxon, with some having a higher occupancy rate than others, there are an average of 3,200 loci per sample. The maximum likelihood (ML) tree inferred from the supermatrix produced a well-resolved topology with high support (bootstrap values &gt;90), which is consistent with other studies (<xref ref-type="bibr" rid="B62">Justi et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B22">Campos-Soto et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B19">Campos-Soto et&#xa0;al., 2020</xref>), and corroborates the three lineages described in <italic>Mepraia</italic>, as well as infers <italic>M. gajardoi</italic> and <italic>M. parapatrica</italic> as sister groups and <italic>M. spinolai</italic> as more distant.</p>
<p>Based on mitochondrial genes, Bayesian analysis, and the Kimura two-parameter&#xa0;(K2P) model, we found low intra- and interspecific variability among the sequences, which was expected due to the close relationships among the species. The average genetic diversity rate for the 57 sequences was 0.20. It is worth noting that mitochondrial genes, such as COI, are widely used for species delimitation in triatomines (<xref ref-type="bibr" rid="B56">Hyp&#x161;a et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B88">Monteiro et&#xa0;al., 2003</xref>; <xref ref-type="bibr" rid="B62">Justi et&#xa0;al., 2014</xref>). However, some species, such as <italic>Triatoma maculata</italic> (Erichson, 1848), exhibit high levels of genetic distance, as evidenced by the CytB and ND4 genes (<xref ref-type="bibr" rid="B45">G&#xf3;mez-Palacio et&#xa0;al., 2022</xref>). On the other hand, our findings are consistent with the low genetic distance observed in mtDNA between closely related species of the <italic>T. sordida</italic> subcomplex, as reported by <xref ref-type="bibr" rid="B6">Belintani et&#xa0;al. (2020)</xref>.</p>
<p>The FBD method to estimate diversification time showed that the genus underwent recent divergence 2.3&#x2013;1.2 Mya. Although the lack of morphological data on the fossil species <italic>P. hispaniolae</italic> used for calibration may have influenced our analysis, our findings are consistent with other available dating methods (<xref ref-type="bibr" rid="B19">Campos-Soto et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). Our dating also supports the hypothesis that <italic>Mepraia</italic> diverged from its <italic>Triatoma</italic> ancestors after the uprisal of the Andes mountains, which was estimated to have occurred around 5&#x2013;2 Mya (<xref ref-type="bibr" rid="B47">Gregory-Wodzicki, 2000</xref>; <xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). The rise of the Andes and the resulting changes in climate have been identified as crucial factors that contributed to the diversification of the Triatomini and Rhodniini tribes in South America (<xref ref-type="bibr" rid="B61">Justi et&#xa0;al., 2016</xref>), which may have also influenced the diversification of <italic>Mepraia</italic>.</p>
<p>The phylogenetic analysis of <italic>Mepraia</italic> based on over 60,000 unlinked biallelic SNPs produced consistent phylogenies. Both support the relationships among species, with <italic>M. garjadoi</italic> and <italic>M. parapatrica</italic> inferred as sister taxa and <italic>M. spinolai</italic> as more distantly related. Although the phylogeny constructed with the quartet model has robust support, the Bayesian method used in the SNAPP software revealed a significant number of alternative topologies. The inferred alternative topologies may indicate that the evolutionary relationships between the species in question are uncertain or that there is a complex evolutionary history for these species that cannot be fully resolved with the available data set (<xref ref-type="bibr" rid="B72">Leach&#xe9; and Oaks, 2017</xref>; <xref ref-type="bibr" rid="B83">McLean et&#xa0;al., 2022</xref>).</p>
<p>The coalescent-based species tree inferred using quartet inference in ASTRAL-III resulted in a topology consistent with the one produced by the concatenation method, as well as to that produced by mtDNA. However, despite the high bootstrap support values across the inferred tree, the normalized quartet scores were relatively low. The exact threshold for robust quartet support may vary depending on the study and the objectives of the analysis (<xref ref-type="bibr" rid="B120">Whidden and Burch, 2015</xref>). In general, quartet scores above 0.5 are considered to provide moderate support, while scores above 0.7 provide strong support for the topology. In our analysis, the inferred clades in the species tree have quartet values ranging from 43% to 56%, which prompted us to perform exploratory analyses to assess the potential conflict among gene trees across the <italic>Mepraia</italic> phylogeny.</p>
<p>A bipartition analysis of trees among different parts of the genome using PhyParts showed strong support for the general topology of species trees, while still indicating alternative topologies. This analysis is especially valuable as it offers a counterpoint to tree species, revealing that while we can identify a major topology, we can also clearly infer the existence of a significant number of incongruent topologies. Is worth noting that high posterior probability values obtained in ASTRAL-III can be misleading when evaluated alone and may obscure the underlying phylogenetic signal (<xref ref-type="bibr" rid="B75">Maddison and Knowles, 2006</xref>; <xref ref-type="bibr" rid="B130">Zhou et&#xa0;al., 2016</xref>).</p>
<p>Our results suggest that there are only a small number of concordant trees, indicating that several alternative topologies are being supported. This pattern is expected, as gene trees are rarely entirely concordant with species trees (<xref ref-type="bibr" rid="B117">Vargas et&#xa0;al., 2019</xref>; <xref ref-type="bibr" rid="B85">Meng et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B121">Xiao et&#xa0;al., 2022</xref>), especially in recently diverged taxa. Incongruence in the phylogenetic signal across distinct parts of the genome can be the result of various evolutionary phenomena, including incomplete lineage sorting, gene flow, hybridization, lateral gene transfer, recent divergence, convergent evolution, different evolutionary rates, or loss of information during evolution (<xref ref-type="bibr" rid="B7">Betancur et&#xa0;al., 2019</xref>). These phenomena shape the relationships among species, which, depending on the degree of conflict, can make phylogenetic inferences incredibly challenging. The conflict between the inferred species tree and the underlying gene trees indicates that some of the above-mentioned processes could have influenced the differentiation of <italic>Mepraia</italic>, especially incomplete lineage sorting and/or introgression.</p>
<p>Although phylogenies based on coalescent models at the species and gene level have produced similar relationship among <italic>Mepraia</italic> species, our data suggest a reticulated evolutionary history. As indicated above, several factors, especially ILS and introgression, can produce reticulate phylogenies, although distinguishing between the latter two can be challenging (<xref ref-type="bibr" rid="B104">Schumer et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B118">Wang et&#xa0;al., 2022</xref>). As ILS can occur even in the absence of introgression events, it is important to include it as null hypotheses when testing for introgression to properly investigate the causes of reticulate phylogenies (<xref ref-type="bibr" rid="B84">Mendes and Hahn, 2018</xref>; <xref ref-type="bibr" rid="B54">Hibbins and Hahn, 2022</xref>), which we did using different strategies.</p>
<p>Our study provides robust evidence of introgression between <italic>Mepraia</italic> species using four different methods. Firstly, an ABBA-BABA test considering only the most likely topology estimated a significant value of the D statistic (D = 0.158, Z-score 4.43), indicating introgression. Secondly, the HyDe test also revealed significant introgression between the three species, providing further support for introgression. Additionally, PhyloNet analyses showed strong evidence that <italic>M. parapatrica</italic> may result from introgression between <italic>M. gajardoi</italic> and <italic>M. spinolai</italic>. Finally, the JML test allowed identification of hybridization events in all comparisons (p-value &lt;0.1).</p>
<p>Knowledge of current gene flow between <italic>Mepraia</italic> species is limited (<xref ref-type="bibr" rid="B17">Campos-Soto et&#xa0;al., 2013</xref>). Although hybridization has been observed in other Triatominae species (<xref ref-type="bibr" rid="B91">Panzera et&#xa0;al., 2021</xref>), there is still much to be discovered about the extent and effects of hybridization in Triatominae (<xref ref-type="bibr" rid="B30">Costa et&#xa0;al., 2009</xref>; <xref ref-type="bibr" rid="B91">Panzera et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B93">Pavan et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B94">Pinotti et&#xa0;al., 2021</xref>). To date, the only study that has investigated inter-specific crossing ability in the <italic>Mepraia</italic> genus, particularly between <italic>M. gajardoi</italic> and <italic>M. spinolai</italic>, found evidence of hybrid incompatibilities in their second backcross (<xref ref-type="bibr" rid="B20">Campos-Soto et&#xa0;al., 2016</xref>). Hybrid speciation involves the mixing of different lineages and gene flow through hybridization and backcrossing, resulting in the formation of a new species (<xref ref-type="bibr" rid="B77">Mallet, 2005</xref>; <xref ref-type="bibr" rid="B78">Mallet, 2007</xref>; <xref ref-type="bibr" rid="B1">Abbott et&#xa0;al., 2013</xref>). This process was previously thought to be rare in animals, but recent methodological and technical advances in the study of introgression (<xref ref-type="bibr" rid="B48">Guo et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B70">Lamichhaney et&#xa0;al., 2018</xref>) have shown its importance in evolution and prevalence in closely related species of several different organisms, such as plants, birds, fishes, and butterflies (<xref ref-type="bibr" rid="B105">Schwarz et&#xa0;al., 2005</xref>; <xref ref-type="bibr" rid="B70">Lamichhaney et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B129">Zhang et&#xa0;al., 2019</xref>).</p>
<p>The parapatric evolution model proposed for <italic>Mepraia</italic> suggests that cytogenetic changes were responsible for the emergence of <italic>M. parapatrica</italic> and later <italic>M. spinolai</italic> from the ancestral <italic>M. gajardoi</italic> (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). According to this hypothesis, character displacement among the three species in tension zones indicates absence of gene flow (<xref ref-type="bibr" rid="B39">Fr&#xed;as-Lasserre, 2010</xref>). However, the more recent speciation proposal by <xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al. (2022)</xref> advocates a speciation model that involves two geographically distinct groups: the North, composed of <italic>M. garjadoi</italic> and <italic>M. parapatrica</italic>, and the South, composed of <italic>M. spinolai</italic>. The data presented in that study suggests an alternative model that may be compatible with ancient hybridization events or continued gene flow. In this sense, it is important to consider that the evolution of these species may not have occurred in a linear and bifurcating manner, and that the phylogenetic relationships between the species may not be described in a simplified way, but rather by diversification patterns that have been shaped by historical events of hybridization and geographic segmentation. This broader view of evolution may help to better understand the complexity of evolutionary processes and to reconstruct the evolutionary history of species more accurately.</p>
<p>Hybridization occurs when certain conditions are met, including the mixing of two parental lines, followed by reproductive isolation and a viable, genetically distinct hybrid line (<xref ref-type="bibr" rid="B104">Schumer et&#xa0;al., 2014</xref>). Based on our data and the current knowledge about Triatominae speciation (<xref ref-type="bibr" rid="B93">Pavan et&#xa0;al., 2021</xref>), we can speculate that incongruity patterns in gene trees cannot be explained only by incomplete lineage classification and stochasticity. Rather, to some extent, it may have been modulated by introgression, potentially due to ancestral or continuous gene flow. As discussed earlier, geoclimatic changes in Chile over the past 5 million years may have been crucial for the evolution of these Triatomine bugs (<xref ref-type="bibr" rid="B21">Campos-Soto et&#xa0;al., 2022</xref>). Similar diversification events have been observed in North American <italic>Drosophila</italic> (<xref ref-type="bibr" rid="B16">Campo et al., 2013</xref>), <italic>Anolis</italic> lizards on Caribbean islands (<xref ref-type="bibr" rid="B76">Mahler et&#xa0;al., 2010</xref>), and the <italic>Heliconius</italic> butterfly genus (<xref ref-type="bibr" rid="B82">Mav&#xe1;rez et al., 2006</xref>; <xref ref-type="bibr" rid="B58">Jiggins et&#xa0;al., 2008</xref>). In the Andean region of Chile, it is known that the <italic>Bombus dahlbomii</italic> bumblebee hybridized with other <italic>Bombus</italic> bee species in Chile (<xref ref-type="bibr" rid="B3">Arbetman et&#xa0;al., 2013</xref>).</p>
<p>This study successfully obtained and analyzed the transcriptomes of the head and salivary glands of three species of <italic>Mepraia</italic>, shedding new light on the relationships between <italic>M. gajardoi</italic>, <italic>M. parapatrica</italic>, and <italic>M. spinolai</italic>. Analyses of a large transcriptome dataset provided valuable information about the evolutionary history of the genus. We showed that while all methods produced concurrent phylogenetic relationships among species of the genus, a considerable level of incongruence is observed across gene trees. We demonstrated through several tests that such incongruence is not compatible only with ILS, rather, is an indication of introgression between lineages due to past hybridization events. Therefore, our data suggests that the diversification of <italic>Mepraia</italic> occurred recently and was significantly influenced by interspecific gene flow during its early stages of divergence. This study highlights the importance of considering introgression and hybridization in the evolution of organisms, especially in Chagas disease vector triatomines.</p>
</sec>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/genbank/">https://www.ncbi.nlm.nih.gov/genbank/</ext-link>, PRJNA916468.</p>
</sec>
<sec id="s6" sec-type="author-contributions">
<title>Author contributions</title>
<p>TB designed the study, wrote the entire text, discussed results, and performed all study analyses. CC assisted and reviewed all bioinformatics analyses, as well as reviewing the text, results, and discussion. HP and SC-E assisted in RNA extraction and reviewed the text. RB reviewed the text, assisted in the discussion, and provided servers for bioinformatics analyses. JO collected specimens, assisted in the discussion, and reviewed the text. DF-L collected specimens, assisted in the discussion, and reviewed the text. FF mapped and reviewed the test. JR designed the study, collected specimens, assisted in the discussion, reviewed, and obtained resources. All authors contributed to the article and approved the submitted version.</p>
</sec>
</body>
<back>
<sec id="s7" sec-type="funding-information">
<title>Funding</title>
<p>JR: Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo, processo: 17/06460-4. JO: Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo, processo: 19/02145-2. TB: Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior &#x2013; Brasil (CAPES) &#x2013; Financing Code 001. RB is a CNPq Productivity fellow (#315287/2020-9). Financial support had neither role in study design, collection, analysis, interpretation, and manuscript writing.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Maria Isabel Camargo Isler, Department of Genetics and Evolution, Federal University of S&#xe3;o Carlos (UFSCar), S&#xe3;o Carlos, SP, Brazil. The authors are grateful to the Universidade Estadual Paulista (Unesp), Faculdade de Ci&#xea;ncias Farmac&#xea;uticas and to its collaborators who help in the maintenance of the Triatominae insectarium, especially to Tacachi Hatanaka and Dr. Vinicius Fernandes Paiva. We are grateful for the support of Nat&#xe1;lia Almeida Frota Santos, Tiradentes University, and help with making the map here shown.</p>
</ack>
<sec id="s8" sec-type="COI-statement">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec id="s9" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s10" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fevo.2023.1215319/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fevo.2023.1215319/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet_1.pdf" id="SM1" mimetype="application/pdf"/>
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