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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Genet.</journal-id>
<journal-title>Frontiers in Genetics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Genet.</abbrev-journal-title>
<issn pub-type="epub">1664-8021</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">869073</article-id>
<article-id pub-id-type="doi">10.3389/fgene.2022.869073</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Genetics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Genetic Differentiation of <italic>Pyrrhulina</italic> (Teleostei, Characiformes) Species is Likely Influenced by Both Geographical Distribution and Chromosomal Rearrangements</article-title>
<alt-title alt-title-type="left-running-head">Ferreira et al.</alt-title>
<alt-title alt-title-type="right-running-head">Genetic Differentiation of <italic>Pyrrhulina</italic> Species</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Ferreira</surname>
<given-names>Pedro H. N.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1770534/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Souza</surname>
<given-names>Fernando H. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1777351/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>de Moraes</surname>
<given-names>Renata L.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/747558/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Perez</surname>
<given-names>Manolo F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/747771/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Sassi</surname>
<given-names>Francisco de M. C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1489738/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Viana</surname>
<given-names>Patrik F.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1215573/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Feldberg</surname>
<given-names>Eliana</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/474808/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Ezaz</surname>
<given-names>Tariq</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Liehr</surname>
<given-names>Thomas</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/650473/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Bertollo</surname>
<given-names>Luiz A. C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/474477/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Cioffi</surname>
<given-names>Marcelo de B.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/457761/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Laborat&#xf3;rio de Citogen&#xe9;tica de Peixes</institution>, <institution>Departamento de Gen&#xe9;tica e Evolu&#xe7;&#xe3;o</institution>, <institution>Universidade Federal de S&#xe3;o Carlos</institution>, <addr-line>S&#xe3;o Carlos</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Laborat&#xf3;rio de Gen&#xe9;tica Animal</institution>, <institution>Coordena&#xe7;&#xe3;o de Biodiversidade</institution>, <institution>Instituto Nacional de Pesquisas da Amaz&#xf4;nia</institution>, <addr-line>Manaus</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Institute for Applied Ecology</institution>, <institution>University of Canberra</institution>, <addr-line>Canberra</addr-line>, <addr-line>NSW</addr-line>, <country>Australia</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Human Genetics</institution>, <institution>Friedrich Schiller University</institution>, <institution>University Hospital Jena</institution>, <addr-line>Jena</addr-line>, <country>Germany</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/712515/overview">P&#xe1;vel Matos-Marav&#xed;</ext-link>, Academy of Sciences of the Czech Republic (ASCR), Czechia</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/592743/overview">Zden&#x11b;k Lajbner</ext-link>, Academy of Sciences of the Czech Republic (ASCR), Czechia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/457782/overview">Jorge Luis Ramirez</ext-link>, National University of San Marcos, Peru</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1707045/overview">Luis Rodrigues</ext-link>, Federal University of Western Par&#xe1;, Brazil</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Thomas Liehr, <email>Thomas.Liehr@med.uni-jena.de</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Evolutionary and Population Genetics, a section of the journal Frontiers in Genetics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>05</month>
<year>2022</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>13</volume>
<elocation-id>869073</elocation-id>
<history>
<date date-type="received">
<day>03</day>
<month>02</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>19</day>
<month>04</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2022 Ferreira, Souza, de Moraes, Perez, Sassi, Viana, Feldberg, Ezaz, Liehr, Bertollo and Cioffi.</copyright-statement>
<copyright-year>2022</copyright-year>
<copyright-holder>Ferreira, Souza, de Moraes, Perez, Sassi, Viana, Feldberg, Ezaz, Liehr, Bertollo and Cioffi</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>
<p>Allopatry is generally considered to be one of the main contributors to the remarkable Neotropical biodiversity. However, the role of chromosomal rearrangements including neo-sex chromosomes for genetic diversity is still poorly investigated and understood. Here, we assess the genetic divergence in five <italic>Pyrrhulina</italic> species using population genomics and combined the results with previously obtained cytogenetic data, highlighting that molecular genetic diversity is consistent with their chromosomal features. The results of a principal coordinate analysis (PCoA) indicated a clear difference among all species while showing a closer relationship of the ones located in the same geographical region. This was also observed in genetic structure analyses that only grouped <italic>P. australis</italic> and <italic>P. marilynae</italic>, which were also recovered as sister species in a species tree analysis. We observed a contradictory result for the relationships among the three species from the Amazon basin, as the phylogenetic tree suggested <italic>P. obermulleri</italic> and <italic>P. semifasciata</italic> as sister species, while the PCoA showed a high genetic difference between <italic>P. semifasciata</italic> and all other species. These results suggest a potential role of sex-related chromosomal rearrangements as reproductive barriers between these species.</p>
</abstract>
<kwd-group>
<kwd>fishes</kwd>
<kwd>neo-sex chromosomes</kwd>
<kwd>chromosomal rearrangements</kwd>
<kwd>cytogenetic</kwd>
<kwd>genetic diversity</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>The Neotropical region harbors most of the known fish diversity, with more than 5,200 valid species, however, there is additional evidence that many of them are yet to be described (<xref ref-type="bibr" rid="B21">Fricke et al., 2021</xref>). Several reasons are suggested to be related to this huge diversity, and among them, the evolution of reproductive barriers reducing gene flow plays a key role in creating reproductive incompatibilities between species (<xref ref-type="bibr" rid="B32">Mayr, 1963</xref>). The evolution of strong reproductive barriers is essential for coexistence of species, especially for sympatric ones (those whose geographical distribution overlaps), even if the isolation in sympatry has preceded the overlap of species that currently coexist in the same region, in a secondary contact (<xref ref-type="bibr" rid="B33">Mayr, 1999</xref>; <xref ref-type="bibr" rid="B9">Coyne and Orr, 2004</xref>).</p>
<p>Among animals, most cases of post-zygotic isolation are caused by genetic incompatibilities, among which chromosomal rearrangements including specific sex chromosome-systems are of fundamental importance (<xref ref-type="bibr" rid="B5">Bateson, 1909</xref>; <xref ref-type="bibr" rid="B15">Dobzhansky, 1933</xref>; <xref ref-type="bibr" rid="B37">Muller, 1942</xref>; <xref ref-type="bibr" rid="B9">Coyne and Orr, 2004</xref>). Such chromosomal rearrangements can prevent introgression and reduce gene flow by suppressing recombination (<xref ref-type="bibr" rid="B30">Machado et al., 2007</xref>; <xref ref-type="bibr" rid="B60">Yannic et al., 2009</xref>; <xref ref-type="bibr" rid="B34">McGaugh and Noor, 2012</xref>; <xref ref-type="bibr" rid="B40">Ostberg, et al., 2013</xref>; <xref ref-type="bibr" rid="B42">Presgraves, 2018</xref>; <xref ref-type="bibr" rid="B41">Potter, et al., 2021</xref>). However, the contribution of these processes for biodiversity in Neotropical fish species is still poorly understood.</p>
<p>The Lebiasinidae family is distributed throughout Central and South America, with 75 species divided into two subfamilies: Lebiasininae and Pyrrhulininae (<xref ref-type="bibr" rid="B58">Weitzman and Weitzman, 2003</xref>; <xref ref-type="bibr" rid="B22">Froese and Pauly, 2014</xref>; <xref ref-type="bibr" rid="B21">Fricke et al., 2021</xref>). The subfamily Pyrrhulininae is the most diverse, including the genera <italic>Derhamia, Nannostomus, Copella, Copeina,</italic> and <italic>Pyrrhulina</italic> (<xref ref-type="bibr" rid="B21">Fricke et al., 2021</xref>). Recent cytogenetic and molecular data have added significant contributions to understanding evolutionary relationships of these genera (<xref ref-type="bibr" rid="B12">Moraes et al., 2017</xref>, <xref ref-type="bibr" rid="B14">2019</xref>, <xref ref-type="bibr" rid="B13">2021</xref>; <xref ref-type="bibr" rid="B49">Sassi et al., 2019</xref>; <xref ref-type="bibr" rid="B57">Toma et al., 2019</xref>; <xref ref-type="bibr" rid="B50">Sember et al., 2020</xref>). Particularly, concerning <italic>Pyrrhulina</italic>, its diploid number (2n) ranges from 32 to 42 chromosomes, with <italic>Pyrrhulina</italic> aff. <italic>australis</italic>, <italic>P. australis</italic> (<xref ref-type="bibr" rid="B18">Eigenmann and Kennedy, 1903</xref>), <italic>Pyrrhulina</italic> aff. <italic>marilynae</italic> and <italic>Pyrrhulina</italic> sp. present 2n &#x3d; 40 chromosomes, whereas <italic>P. brevis</italic> (<xref ref-type="bibr" rid="B55">Steindachner, 1876</xref>), <italic>P. obermulleri</italic> (<xref ref-type="bibr" rid="B3">Allen, Meyers and Myers, 1926</xref>)<italic>,</italic> and <italic>Pyrrhulina</italic> cf. <italic>laeta</italic> have 2n &#x3d; 42 chromosomes, both in males and females. Differently from the others, <italic>P. semifasciata</italic> (<xref ref-type="bibr" rid="B55">Steindachner, 1876</xref>) has divergent 2n among sexes (2n &#x3d; &#x2640;42 and &#x2642;41) due to its exclusive multiple &#x2640;X<sub>1</sub>X<sub>1</sub>X<sub>2</sub>X<sub>2</sub>/&#x2642;X<sub>1</sub>X<sub>2</sub>Y sex chromosome system (<xref ref-type="bibr" rid="B12">Moraes et al., 2017</xref>; <xref ref-type="bibr" rid="B14">Moraes et al., 2019</xref>). In addition, <italic>P. marilynae</italic> (<xref ref-type="bibr" rid="B31">Netto-Ferreira and Marinho, 2013</xref>) also differs from its congeneric species having 2n &#x3d; 32 chromosomes, due to a series of chromosomal fusions (<xref ref-type="bibr" rid="B13">Moraes et al., 2021</xref>).</p>
<p>The development and improvement of large-scale genotyping-by-sequencing (GBS) procedures allowed high-resolution analysis using Single Nucleotide Polymorphisms (SNPs) for genetic diversity studies in non-model organisms (<xref ref-type="bibr" rid="B54">Steane et al., 2011</xref>; <xref ref-type="bibr" rid="B59">Yang et al., 2013</xref>; <xref ref-type="bibr" rid="B48">S&#xe1;nchez-Sevilla et al., 2015</xref>; <xref ref-type="bibr" rid="B2">Alkimin et al., 2018</xref>; <xref ref-type="bibr" rid="B52">Souza et al., 2019</xref>; <xref ref-type="bibr" rid="B39">Oliveira et al., 2020</xref>; <xref ref-type="bibr" rid="B11">Sassi et al., 2021</xref>). Combining such genomic and cytogenetic data for pairs of species/populations in which there are variations related to geographic distribution, analysis of chromosomal rearrangements, and sex chromosome systems provide a critical tool to understanding the role of these events to generate biodiversity. The present study applies cytogenetic and genomic approaches in five <italic>Pyrrhulina</italic> species with distinct geographic distributions. Here, we aimed to assess the genetic diversity in five <italic>Pyrrhulina</italic> species by combining population genomic with previously obtained cytogenetic data. Our results highlighted that genomic diversity is consistent with the chromosomal features and provided hypothesis on the potential role of chromosomal rearrangements, especially those involving the sex chromosomes, in fostering genetic differentiation.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>Materials and Methods</title>
<sec id="s2-1">
<title>Sampling</title>
<p>Collection sites, number, and sex of the specimens are given in <xref ref-type="fig" rid="F1">Figure 1</xref>; <xref ref-type="table" rid="T1">Table 1</xref>. Sampling authorizations were obtained from the Brazilian Environmental Agency, Instituto Chico Mendes de Conserva&#xe7;&#xe3;o da Biodiversidade/Sistema de Autoriza&#xe7;&#xe3;o e Informa&#xe7;&#xe3;o em Biodiversidade (ICMBio/SISBIO - license no. 48628-14) and Sistema Nacional de Gest&#xe3;o do Patrim&#xf4;nio Gen&#xe9;tico e do Conhecimento Tradicional Associado (SISGEN - A96FF09). The distribution data was obtained from the analysis of scientific collection materials and previous literature (<xref ref-type="bibr" rid="B7">Bertaco et al., 2016</xref>; <xref ref-type="bibr" rid="B10">Dagosta e Depinna 2021</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Phylogenetic relationships of <italic>Pyrrhulina</italic> species analyzed and their distribution. <bold>(A)</bold>&#x2014;Species tree recovered with SNAPP, with branch lengths measured in units of expected number of mutations per site, based on dataset I: <italic>P. australis</italic> (1), <italic>P. brevis</italic> (2), <italic>P. obermulleri</italic> (3); <italic>P. marilynae</italic> (4); and <italic>P. semifasciata</italic> (5). <bold>(B)</bold>&#x2014;South America map indicating the origin of <italic>Pyrrhulina</italic> species analyzed. Colored areas indicate the distribution of the species: <italic>P. australis</italic> (blue), <italic>P. brevis</italic> (green), <italic>P. obermulleri</italic> (yellow); <italic>P. marilynae</italic> (purple); and <italic>P. semifasciata</italic> (pink). The numbered circles indicate the collection sites of each species. The red ellipse indicates syntopic species (sampled in the same area). <bold>(C)</bold>&#x2014;Idiograms with partial karyotypes of each species and the sex chromosomes exclusively found in <italic>P. semifasciata</italic> are boxed.</p>
</caption>
<graphic xlink:href="fgene-13-869073-g001.tif"/>
</fig>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Species, diploid numbers (2n), sex chromosome systems, numbers of individuals cytogenetically analyzed, and the number of individuals sequenced.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Species</th>
<th align="center">2n</th>
<th align="center">Sex chromosomes</th>
<th align="center">Sampling location</th>
<th align="center">Latitude/Longitude</th>
<th align="center">Cytological analysis</th>
<th align="center">Sequence analysis</th>
<th align="center">References</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>P. australis</italic>
</td>
<td align="left">&#x2640;&#x2642;40</td>
<td align="left">Homomorphic</td>
<td align="left">Barra do Bugres&#x2014;MT</td>
<td align="center">-15.04275,-57.11054</td>
<td align="center">18&#x2642; 30&#x2640;</td>
<td align="char" char=".">6</td>
<td align="left">
<xref ref-type="bibr" rid="B12">Moraes et al. (2017)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>P. brevis</italic>
</td>
<td align="left">&#x2640;&#x2642;42</td>
<td align="left">Homomorphic</td>
<td align="left">Adolpho Ducke Reserve&#x2014;AM</td>
<td align="center">-2.58207,-59.55530</td>
<td align="center">17&#x2642; 13&#x2640;</td>
<td align="char" char=".">6</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Moraes et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="left">&#x2640;42 &#x2642;41</td>
<td align="left">X<sub>1</sub>X<sub>1</sub>X<sub>2</sub>X<sub>2</sub>/X<sub>1</sub>X<sub>2</sub>Y</td>
<td align="left">Careiro&#x2014;AM</td>
<td align="center">-3.51000,-60.04000</td>
<td align="center">12&#x2642; 07&#x2640;</td>
<td align="char" char=".">6</td>
<td align="left">
<xref ref-type="bibr" rid="B14">Moraes et al. (2019)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="left">&#x2640;&#x2642;42</td>
<td align="left">Homomorphic</td>
<td align="left">Tef&#xe9;&#x2014;AM</td>
<td align="center">-3.25507,-64.44548</td>
<td align="center">21&#x2642; 12&#x2640;</td>
<td align="char" char=".">6</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Moraes et al. (2021)</xref>
</td>
</tr>
<tr>
<td align="left">
<italic>P. marilynae</italic>
</td>
<td align="left">&#x2640;&#x2642;32</td>
<td align="left">Homomorphic</td>
<td align="left">Ipiranga do Norte&#x2014;MT</td>
<td align="center">-11.36020,-55.56270</td>
<td align="center">14&#x2642; 08&#x2640;</td>
<td align="char" char=".">6</td>
<td align="left">
<xref ref-type="bibr" rid="B13">Moraes et al. (2021)</xref>
</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: AM, Amazonas; MT, Mato Grosso Brazilian states. Chromosomal data refer to previous studies, according to references.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s2-2">
<title>DArTseq Sequencing Procedure and Data Filtering</title>
<p>Liver tissue from all individuals was used to perform DArTseq sequencing procedures at Diversity Arrays Technology Pty Ltd. This sequencing method uses a combination of restriction enzymes (SbfI and PstI) that enrich hypomethylated regions (<xref ref-type="bibr" rid="B25">Kilian et al., 2012</xref>). Sequencing of the obtained libraries was carried out on the Illumina HiSeq 2500 platform.</p>
<p>The raw data were processed in two different ways to generate the following datasets (I) a matrix of SNPs using Ipyrad v. 0.9.84 (<xref ref-type="bibr" rid="B16">Eaton and Overcast, 2020</xref>) and (II) a phased sequence file obtained with pyRAD v3.0.66 (<xref ref-type="bibr" rid="B17">Eaton, 2014</xref>). In both, the sequencing adapters were trimmed, and all sequences shorter than 35 base pairs or presenting more than five low-quality bases (Q &#x3c; 20) were not considered. In dataset I, a single SNP per locus was selected, to reduce the inclusion of linked SNPs, and the SNPs were coded as 0 for reference state homozygotes, 1 for heterozygotes, and 2 for alternative state homozygotes.</p>
<p>The raw data is available in the database of the National Center for Biotechnology Information, whose project access code is PRJNA804560 (access link: <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/Traces/study/?acc=PRJNA804560&amp;o=acc_s">https://www.ncbi.nlm.nih.gov/Traces/study/?acc&#x3d;PRJNA804560&#x26;o&#x3d;acc_s</ext-link> %3Aa). Additionally, datasets one and two are available at <ext-link ext-link-type="uri" xlink:href="https://github.com/PHnarciso/">https://github.com/PHnarciso/</ext-link>Dataset-1-and-2---Manuscript-<italic>Pyrrhulina</italic>.</p>
</sec>
<sec id="s2-3">
<title>Assessment of Markers Under Selection</title>
<p>A BayeScan analysis was carried to search for potential markers under selection in both datasets (<xref ref-type="bibr" rid="B20">Foll and Gaggiotti, 2008</xref>). We performed a total of 5,000 MCMC (Markov Chain Monte Carlo) runs and thinning of 10, with a prior odds value of 100. Values of False Discovery Rate (FDR) were used to classify outliers, and only loci with values lower than 0.01 were considered outliers and removed from subsequent analysis.</p>
</sec>
<sec id="s2-4">
<title>Genetic Diversity</title>
<p>Using dataset II, an analysis was performed in the DnaSP software v. 6.12.03 (<xref ref-type="bibr" rid="B47">Rozas et al., 2019</xref>), to obtain the haplotype diversity (<italic>Hd</italic>), Tajima&#x2bc;s D (<italic>D</italic>), and two measures of nucleotide diversity per site, <italic>&#x3c0;</italic> and Watterson&#x2019;s theta (<italic>&#x3b8;w</italic>). Differentiation was also estimated from the nucleotide divergence between samples using the average number of nucleotide substitutions per site between pairs of samples from different species (<italic>Dxy</italic>) and the net divergence, corrected for variation within the samples analyzed (<italic>Da</italic>).</p>
</sec>
<sec id="s2-5">
<title>Genetic Structure and Analysis of Molecular Variance (AMOVA)</title>
<p>A principal coordinate analysis (PCoA) in the R package dartR (<xref ref-type="bibr" rid="B23">Gruber et al., 2018</xref>) was used to investigate the genetic structure among species. The genetic structure was also investigated with fastSTRUCTURE (<xref ref-type="bibr" rid="B43">Raj et al., 2014</xref>), using the &#x201c;Lizards-are-awesome&#x201d; pipeline (<xref ref-type="bibr" rid="B36">Melville et al., 2017</xref>). We used the chooseK.py command to select the number of clusters that maximizes likelihood and is more informative for the structure from our dataset. The results from fastStructure were visualized with Clumpak (<xref ref-type="bibr" rid="B28">Kopelman et al., 2015</xref>). Additionally, an analysis of molecular variance (AMOVA) was also performed using dataset I, with samples grouped as follows: 1) by species, 2) by the clusters from the best K value on fastStructure, 3) by the clustering pattern generated on the PCoA, and 4) by the presence or absence of the multiple sex chromosome system.</p>
</sec>
<sec id="s2-6">
<title>Species Tree</title>
<p>We used the package SNAPP in BEAST 2.6.4 (<xref ref-type="bibr" rid="B8">Bouckaert et al., 2014</xref>) to infer the species tree topology. We included only polymorphic sites, used the default prior for coalescence rate, and calculated backwards and forward substitution rates (parameters u and v) based on the empirical data. We applied a chain length of two million generations, sampling every 5000 iterations. Convergence was evaluated in Tracer 1.7.1 (<xref ref-type="bibr" rid="B44">Rambaut et al., 2018</xref>). We obtained the MCC tree based with common ancestor heights in TreeAnnotator, with the first 25% generated trees discarded as burn-in. We exported the consensus tree in FigTree 1.4.4.</p>
</sec>
<sec id="s2-7">
<title>Analysis of Introgression</title>
<p>We assessed admixture between lineages by calculating Patterson&#x2019;s D-statistics (ABBA-BABA test) in Ipyrad v. 0.9.84 (<xref ref-type="bibr" rid="B16">Eaton and Overcast, 2020</xref>) using pooled SNP frequencies of individuals from each species (Durand et al., 2011). We performed 4-taxon tests according to the recovered SNAPP topology (<xref ref-type="fig" rid="F1">Figure 1</xref>), using either <italic>P. marilynae</italic> or <italic>P. australis</italic> as the outgroup, <italic>P. brevis</italic> as P<sub>3</sub> and <italic>P. semifasciata</italic> and <italic>P. obermulleri</italic> as either P<sub>1</sub> or P<sub>2</sub>. Significance was measured with 1,000 bootstrap replicates by resampling loci with replacement (following <xref ref-type="bibr" rid="B17">Eaton and Ree, 2013</xref>). Results were considered significant according to their Z-scores (significant values &#x3e;3), which quantifies the number of bootstrap standard deviations in which the D-statistic values deviates from its expected value of zero.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>Results</title>
<sec id="s3-1">
<title>Sequencing, Filtering, and Detection of Markers Under Selection</title>
<p>Sequencing of DArTSeq resulted in two million reads per sample, on average, a total of 5,149 SNP-markers were obtained after performing all filtering steps in dataset I, and a total of 5,604 loci were obtained in dataset II. According to the BayeScan result, none of the loci were potentially under selection, as all FDR values were higher than 0.65 and 0.97 for dataset I and dataset II respectively. Thus, all markers were maintained in subsequent analyses.</p>
</sec>
<sec id="s3-2">
<title>Genetic Diversity and Structure</title>
<p>In general, all species showed low diversity values. Values of <italic>&#x3c0;</italic> and <italic>&#x3b8;w</italic> were closely related across all sampled groups, with slightly higher estimates in <italic>P. obermulleri</italic> and <italic>P. semifasciata</italic>, while <italic>P. marilynae</italic> showed the lowest values. (<xref ref-type="table" rid="T2">Table 2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Estimated genome-wide genetic diversity of genus <italic>Pyrrhulina</italic> by species.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Species</th>
<th align="center">Sample size</th>
<th align="center">
<italic>Hd</italic>
</th>
<th align="center">
<italic>&#x3c0;</italic>
</th>
<th align="center">
<italic>&#x3b8;w</italic>
</th>
<th align="center">
<italic>D</italic>
</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>P. australis</italic>
</td>
<td align="char" char=".">6</td>
<td align="char" char=".">0.1230</td>
<td align="char" char=".">0.0024</td>
<td align="char" char=".">0.0026</td>
<td align="char" char=".">&#x2212;0.2004</td>
</tr>
<tr>
<td align="left">
<italic>P. brevis</italic>
</td>
<td align="char" char=".">6</td>
<td align="char" char=".">0.1048</td>
<td align="char" char=".">0.0020</td>
<td align="char" char=".">0.0024</td>
<td align="char" char=".">&#x2212;0.3512</td>
</tr>
<tr>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="char" char=".">6</td>
<td align="char" char=".">0.2033</td>
<td align="char" char=".">0.0042</td>
<td align="char" char=".">0.0044</td>
<td align="char" char=".">&#x2212;0.1656</td>
</tr>
<tr>
<td align="left">
<italic>P. marilynae</italic>
</td>
<td align="char" char=".">6</td>
<td align="char" char=".">0.0338</td>
<td align="char" char=".">0.0007</td>
<td align="char" char=".">0.0006</td>
<td align="char" char=".">0.1380</td>
</tr>
<tr>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="char" char=".">6</td>
<td align="char" char=".">0.1712</td>
<td align="char" char=".">0.0033</td>
<td align="char" char=".">0.0039</td>
<td align="char" char=".">&#x2212;0.4412</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: <italic>Hd</italic> - haplotype diversity; <italic>&#x3c0;</italic> <bold>
<italic>-</italic>
</bold> nucleotide diversity; <italic>&#x3b8;w</italic> <bold>
<italic>-</italic>
</bold> Watterson theta per site and <italic>D</italic> - Tajima&#x2bc;s D.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>The nucleotide divergence (<italic>Dxy</italic> values) and net divergence (<italic>Da</italic> values) estimates between individuals sampled of different species ranged from 0.01770 to 0.00660 as shown in <xref ref-type="fig" rid="F2">Figure 2</xref>. The lowest divergence values estimates were presented for <italic>P. australis</italic> and <italic>P. marilynae</italic>, and the highest values were observed for comparisons of <italic>P. semifasciata</italic> with these species.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Pairwise <italic>Dxy</italic> per Species is represented in the upper diagonal, and <italic>Da</italic> in the lower diagonal. Higher values are shown in green, and as the values decrease the color changes to yellow, orange, and then red for lower values.</p>
</caption>
<graphic xlink:href="fgene-13-869073-g002.tif"/>
</fig>
<p>The PCoA results separate all species and indicate a higher similarity for species in the same regions, as <italic>P. brevis</italic> and <italic>P. obermulleri</italic> are more similar to each other, as are <italic>P. australis</italic> and <italic>P. marilynae.</italic> In turn, <italic>P. semifasciata</italic> appeared as the most different species of the group (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>
<bold>(A)</bold> Genetic diversity in <italic>Pyrrhulina</italic> species according to a PCoA. The PCoA recovered 37.7% of the total variation in the first principal coordinate (PC1), and 21.6% in the second principal coordinate (PC2). <bold>(B)</bold>&#x2014;Results for fastStructure with <italic>K</italic> &#x3d; 4 and <italic>K</italic> &#x3d; 5. Each vertical bar represents an individual; the bar colors represent the group in which the fastStructure classified the individual; the legend below indicates their species.</p>
</caption>
<graphic xlink:href="fgene-13-869073-g003.tif"/>
</fig>
<p>Results from fastStructure suggested K &#x3d; 4 as the number of clusters that maximizes both likelihood and is more informative for genetic structure, being the one that best explains the complexity of the data. It is worth mentioning that the clusterization presented in K &#x3d; 5 is identical to that presented by K &#x3d; 4, with both results combining <italic>P. australis</italic> and <italic>P. marilynae</italic>. AMOVA results suggested that the clustering strategy presenting the highest variation between groups and the lowest variation within groups was achieved when each separate species was considered (83.66% variation between groups), followed by the fastStructure K &#x3d; 4 result and by the PCoA (<xref ref-type="table" rid="T3">Table 3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>AMOVA percentage of variation within and between each of the tested groups: 1) by species, 2) by the best K in the fast structure, 3) by the groups generated in PCoA, and 4) by the presence or absence of sex chromosomes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Clustering</th>
<th align="center">Species</th>
<th align="center">FastStructure K &#x3d; 4</th>
<th align="center">PCoA</th>
<th align="center">Presence/absence of sex chromosomes</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Variation between groups</td>
<td align="char" char=".">83.664</td>
<td align="char" char=".">73.916</td>
<td align="char" char=".">61.593</td>
<td align="char" char=".">46.534</td>
</tr>
<tr>
<td align="left">Variation within group</td>
<td align="char" char=".">2.016</td>
<td align="char" char=".">12.465</td>
<td align="char" char=".">25.087</td>
<td align="char" char=".">41.805</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-3">
<title>Species Tree and Analysis of Introgression</title>
<p>The species tree recovered in SNAPP showed a relationship between species similar to the structure shown in PCoA (<xref ref-type="fig" rid="F3">Figure 3</xref>), showing <italic>P. australis</italic> and <italic>P. marilynae</italic> as sister species. A sister species relationship was also recovered for <italic>P. semifasciata</italic> and <italic>P. obermulleri</italic>, with <italic>P. brevis</italic> closer to this last two (<xref ref-type="fig" rid="F1">Figure 1</xref>). Results of the admixture tests using D-statistics were not able to detect significant introgression in <italic>P. semifasciata</italic> or <italic>P. obermulleri</italic>, regardless of whether <italic>P. marilynae</italic> or <italic>P. australis</italic> were considered as the outgroup (<xref ref-type="table" rid="T4">Table 4</xref>). This result agrees with the lack of admixture suggested by fastSTRUCTURE (<xref ref-type="fig" rid="F3">Figure 3</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Results of the ABBA-BABA test for admixture assessment.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Outgroup</th>
<th align="center">P<sub>3</sub>
</th>
<th align="center">P<sub>2</sub>
</th>
<th align="center">P<sub>1</sub>
</th>
<th align="center">D</th>
<th align="center">Z</th>
<th align="center">ABBA</th>
<th align="center">BABA</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">
<italic>P. marilynae</italic>
</td>
<td align="left">
<italic>P. brevis</italic>
</td>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="char" char=".">&#x2212;0.0214164</td>
<td align="char" char=".">0.44500958</td>
<td align="char" char=".">180.753565</td>
<td align="char" char=".">188.665185</td>
</tr>
<tr>
<td align="left">
<italic>P. australis</italic>
</td>
<td valign="top" align="left">
<italic>P. brevis</italic>
</td>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="char" char=".">0.00523111</td>
<td align="char" char=".">0.1052923</td>
<td align="char" char=".">182.665167</td>
<td align="char" char=".">180.764028</td>
</tr>
<tr>
<td align="left">
<italic>P. marilynae</italic>
</td>
<td valign="top" align="left">
<italic>P. brevis</italic>
</td>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="char" char=".">&#x2212;0.0052311</td>
<td align="char" char=".">0.1035013</td>
<td align="char" char=".">180.764028</td>
<td align="char" char=".">182.665167</td>
</tr>
<tr>
<td align="left">
<italic>P. australis</italic>
</td>
<td valign="top" align="left">
<italic>P. brevis</italic>
</td>
<td align="left">
<italic>P. semifasciata</italic>
</td>
<td align="left">
<italic>P. obermulleri</italic>
</td>
<td align="char" char=".">&#x2212;0.0052311</td>
<td align="char" char=".">0.10302304</td>
<td align="char" char=".">180.764028</td>
<td align="char" char=".">182.665167</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Abbreviations: D, overrepresentation of ABBA against BABA patterns as measured by the D-statistics; Z, Z-score test to assess whether the D-statistics is significantly (Z &#x3e; 3) different from zero; ABBA, frequency of ABBA patterns; BABA, Frequency of BABA patterns.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>Discussion</title>
<p>Here the first genomic evaluation of five <italic>Pyrrhulina</italic> species was performed. Our results highlight that genetic diversity among the analyzed <italic>Pyrrhulina</italic> species is consistent with their chromosomal features. In addition, evidence was found that the occurrence of chromosomal rearrangements including variation in sex chromosome systems might have contributed to increase differentiation.</p>
<p>Overall, the genetic diversity indexes (<italic>&#x3c0;; &#x3b8;</italic>
<sub>
<italic>W</italic>
</sub>) (<xref ref-type="table" rid="T2">Table 2</xref>) were low, being the highest ones observed in <italic>P. obermulleri</italic> and <italic>P. semifasciata</italic> and the lowest in <italic>P. marilynae</italic> followed by <italic>P. brevis</italic>. Low diversity values are somewhat expected due to the nature of our sequencing technique (see methods) and similar results were found in populations from <italic>Hoplias malabaricus</italic> under the same sequencing technique (Souza et al. submitted). According to <italic>Dxy</italic> and <italic>Da</italic> values (<xref ref-type="fig" rid="F2">Figure 2</xref>), <italic>P. semifasciata</italic> and <italic>P. marilynae</italic> are very distinct from each other, presenting the highest observed values (0.01770 and 0.0158). They are also distinct morphologically (<xref ref-type="bibr" rid="B31">Netto-Ferreira and Marinho, 2013</xref>) and present non-overlapping distributions in the Amazon basin. <italic>Pyrrhulina semifasciata</italic> occur in the Purus, Juru&#xe1;, Negro, Branco rivers, Amazonas main channel (<xref ref-type="bibr" rid="B10">Dagosta and De Pinna, 2021</xref>), and Madeira River while <italic>P. marilynae</italic> is restricted to the upper portions of Tapaj&#xf3;s and Xingu (<xref ref-type="bibr" rid="B31">Netto-Ferreira &#x26; Marinho, 2013</xref>) (<xref ref-type="fig" rid="F1">Figure 1</xref>). Similarly, values of <italic>Dxy</italic> and <italic>Da</italic> between <italic>P. semifasciata</italic> and <italic>P. australis</italic> are also very high (0.0171 and 0.0144), indicating their genetic distinctiveness. Furthermore, their distribution does not overlap (<xref ref-type="fig" rid="F1">Figure 1</xref>) and they are also quite distinct morphologically and probably distantly related species, according to a morphology-based phylogenetic analysis (<xref ref-type="bibr" rid="B31">Marinho, 2014</xref>). This results are also in agreement with the species tree, as <italic>P. marilynae</italic> and <italic>P. australis</italic> were recovered as sister species in a distinct clade (<xref ref-type="fig" rid="F1">Figure 1</xref>). However, it is important to emphasize that a more comprehensive species-level sampling is still necessary before claiming sister species relationships, especially in taxa that are apparently divergent such as <italic>P. brevis</italic> and <italic>P. obermulleri.</italic>
</p>
<p>
<italic>Pyrrhulina semifasciata</italic>, the only species in the family up to now analyzed with heteromorphic sex chromosomes, presents high genetic differentiation values when compared to all other species. This could suggest that the presence of such multiple sex system promoted genetic differentiation in the species. The association of sex chromosomes and a high genetic differentiation was also evidenced in previous studies for some populations of other species such as the wolf fishes <italic>Hoplias malabaricus</italic> (Souza et al., submitted) and <italic>Erythrinus erythrinus</italic> (<xref ref-type="bibr" rid="B53">Souza et al., 2022</xref>). In addition, other studies suggest that an event of sex chromosome turnover in plants could have promoted the reduction of gene flow between groups of <italic>Rumex hastatulus</italic>, which could have contributed to further accumulation of genetic differences (<xref ref-type="bibr" rid="B6">Beaudry et al., 2019</xref>). Furthermore, the emergence of a neo-sex chromosome system is suggested as a factor that may have driven the speciation process in sticklebacks (<xref ref-type="bibr" rid="B27">Kitano et al., 2009</xref>). Therefore, the emergence of sex neo-chromosomes could result in a rapid evolutionary mechanism fixing genetic variation in different species (<xref ref-type="bibr" rid="B6">Beaundry et al., 2019</xref>). Indeed, our results suggest that <italic>P. semifasciata</italic>, which was collected in syntopy with <italic>P. brevis</italic> and presents a different chromosomal structure with a multiple sex chromosome system, is also genetically highly divergent from that latter species.</p>
<p>Therefore, we present three main hypotheses for the observed scenario (I) <italic>P. brevis</italic> and <italic>P. semifasciata</italic> evolved in allopatry. Later, their distribution overlapped and the current genetic differences are the result of this previous allopatric period and not related to the sex chromosomes emergence (II) these species evolved in allopatry and the sex chromosomes present in <italic>P. semifasciata</italic> may have acted as an additional barrier to introgression, fostering their genetic differentiation after they became sympatric, and (III) the emergence of a multiple sex chromosome system of the X<sub>1</sub>X<sub>2</sub>Y-type in <italic>P. semifasciata</italic> have acted as key factor to reduction of the gene flow and contributed to the speciation process and the significant genetic differentiation observed for this species.</p>
<p>The PCoA result also suggested that <italic>P. semifasciata</italic> stayed isolated from all other species, while <italic>P. brevis</italic> clustered with <italic>P. obermulleri</italic> (<xref ref-type="fig" rid="F3">Figure 3</xref>). Many works highlight the important role of neo-sex chromosomes in preventing introgression, which is agreement with the lack of introgression between sympatric species detected here (<xref ref-type="table" rid="T4">Table 4</xref>), due to pairing problems associated with meiotic segregation of heterozygous rearrangements (e.g., <xref ref-type="bibr" rid="B35">McKee et al., 1998</xref>; <xref ref-type="bibr" rid="B26">Kitano and Peichel, 2012</xref>; <xref ref-type="bibr" rid="B6">Beaudry et al., 2019</xref>). Similarly, sex chromosomes might promote speciation, as some genes that play a role in reproductive isolation between populations can be accumulated in neo-sex chromosomes (<xref ref-type="bibr" rid="B45">Reinhold, 1998</xref>; <xref ref-type="bibr" rid="B29">Lindholm and Breden, 2002</xref>; <xref ref-type="bibr" rid="B26">Kitano and Peichel, 2012</xref>). Haldane&#x2019;s rule postulates that hybrids of the heterogametic sex from closely related species are often sterile, thus hybrid incompatibility also may act as a reproductive isolating barrier and contribute to prevent introgression (<xref ref-type="bibr" rid="B24">Haldane, 1922</xref>; <xref ref-type="bibr" rid="B9">Coyne and Orr, 2004</xref>). In both scenarios, the neo-sex chromosomes system could have contributed to genetic differentiation or speciation. Hence, it may be possible that the chromosomal rearrangements present in <italic>P. semifasciata</italic> may have had an impact on the diversity of <italic>Pyrrhulina</italic> species.</p>
<p>In contrast, some species showed low differentiation, indicating that they are more similar genetically. The <italic>Dxy</italic> and <italic>Da</italic> values between <italic>P. marilynae</italic> and <italic>P. australis</italic> were the lowest ones (0.008 and 0.0066 respectively) and these two species were recovered as sister species in our phylogenetic analysis (<xref ref-type="fig" rid="F1">Figure 1</xref>). Also, both species share with <italic>P. vittata</italic> a series of unique morphological characters which indicate that they form a monophyletic clade (<xref ref-type="bibr" rid="B31">Netto-Ferreira and Marinho, 2013</xref>). <italic>Pyrrhulina brevis</italic> and <italic>P. obermulleri</italic> presented low <italic>Dxy</italic> and <italic>Da</italic> values as well (0.0121 and 0.0090) in addition to be close to each other in the PCoA analysis (<xref ref-type="fig" rid="F3">Figure 3</xref>) and be recovered in the same clade in the species tree, although not as sister species (<xref ref-type="fig" rid="F1">Figure 1</xref>). All Tajima&#x2019;s D values were negative except for <italic>P. marilynae.</italic> Negative results may suggest a recent event of population expansion, or that purifying selection is acting mainly in <italic>P. semifasciata</italic> and <italic>P. brevis</italic>. The small positive value presented by <italic>P. marilynae</italic> could indicate a bottleneck event, but this seems unlikely due to the low value.</p>
<p>The results of PCoA indicated a clear clustering of species sampled in the same geographical region, except for <italic>P. semifasciata</italic>, which was collected in sympatry with <italic>P. brevis</italic> and did not cluster with any other species (<xref ref-type="fig" rid="F3">Figure 3</xref>). In fastStructure K &#x3d; 4 result, only <italic>P. australis</italic> and <italic>P. marilynae</italic> were grouped. In both fastStructure and PCoA results, <italic>P. australis</italic> and <italic>P. marilynae</italic> were closely related, and such a connection is also presented in the speciestree (<xref ref-type="fig" rid="F1">Figure 1</xref>) and supported by the species tree presented by <xref ref-type="bibr" rid="B31">Marinho (2014)</xref>.</p>
<p>In addition, AMOVA results suggest that grouping individuals by species maximize the variation between groups, although the groups generated by fastStructure and PCoA have also shown informative values (<xref ref-type="table" rid="T3">Table 3</xref>). Therefore, AMOVA results show that the clustering of individuals by species best explains the complexity of the data and therefore suggests that the species are well separated. The relationships between river reorganizations and biodiversity are a complex issue, as previously isolated habitats and populations can be merged, increasing dispersal and local diversity, and reducing speciation and extinction rates. They can also separate previously connected environments, leading to increased genetic isolation and speciation, and extinction rates (<xref ref-type="bibr" rid="B56">Tagliacollo et al., 2015</xref>; <xref ref-type="bibr" rid="B1">Albert et al., 2018</xref>). Therefore, the complex biogeographic history of the region complicates the understanding of <italic>Pyrrhulina</italic> genetic diversity considering that the current geographic distribution of species may not be the same as in the past and a comprehensive species-level phylogeny is still necessary to infer past geographic distributions.</p>
<p>It is widely known that chromosomal rearrangements might have a role in speciation (<xref ref-type="bibr" rid="B46">Rieseberg, 2001</xref>; <xref ref-type="bibr" rid="B38">Navarro and Barton, 2003</xref>; <xref ref-type="bibr" rid="B4">Basset et al., 2008</xref>). Chromosomal rearrangements have the potential to limit introgression, thus facilitating the origin and maintenance of reproductive isolation through recombination suppression (<xref ref-type="bibr" rid="B19">Faria and Navarro, 2010</xref>; <xref ref-type="bibr" rid="B51">Sichov&#xe1; et al., 2015</xref>). Here, <italic>P. australis</italic> and <italic>P. marilynae</italic> were recovered as sister species in our phylogenetic analysis. This suggests a low genetic difference despite their different chromosomal formulae. Conversely, the species <italic>P.</italic> semifasciata, the only with a multiple sex chromosome system, showed high differentiation to all other species. This furnishes additional evidence for the role of chromosomal rearrangements, especially those associated with sex chromosomes, as potential important reproductive barriers between these species.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>Conclusion</title>
<p>Our results highlighted the distribution of the genetic diversity among the analyzed <italic>Pyrrhulina</italic> species and contributed to our understanding of their evolutionary history. However, the scarcity of phylogenetic data involving all <italic>Pyrrhulina</italic> species does not permit us to do a cause-and-effect correlation. Besides, the occurrence of chromosomal rearrangements leading to the presence of the X<sub>1</sub>X<sub>2</sub>Y sex chromosome system in <italic>P. semifasciata</italic> could have led to an intensification of the genetic differentiation of this species by preventing introgression with the other species. Future work with a better population and species-level sampling is still needed to bring new insights to 1) species delimitation, 2) infer demographic trends, 2) infer past distributional ranges, and 4) study the tempo and mode of speciation, including chromosomal rearrangements as a mechanism for isolation.</p>
</sec>
</body>
<back>
<sec id="s6">
<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: SRA, PRJNA804560.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The animal study was reviewed and approved by the Ethics Committee on Animal Experimentation of the Universidade Federal de S&#xe3;o Carlos (Process number CEUA 1853260315).</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>PF, FS, RR, and MP carried out the analysis and drafted the manuscript. TE, FS, and PV helped in the analysis, drafted and revised the manuscript. TL, LB, EF, and MC drafted and revised the manuscript. All authors read and approved the final version of the manuscript.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>MC was supported by Conselho Nacional de Desenvolvimento Cient&#xed;fico e Tecnol&#xf3;gico (CNPq) (Proc. No. 302449/2018-3) and Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo (FAPESP) (Proc. No. 2020/11772-8). RR was supported by 306 Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado de S&#xe3;o Paulo (FAPESP) (Proc. No. 2019/25045-3).</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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 sec-type="disclaimer" id="s11">
<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>
<ack>
<p>The authors are grateful for FAPESP and CNPq. We also appreciate the contributions in the animal&#xb4;s identification performed by Dra. Manoela Marinho.</p>
</ack>
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