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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Parasitol.</journal-id>
<journal-title>Frontiers in Parasitology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Parasitol.</abbrev-journal-title>
<issn pub-type="epub">2813-2424</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpara.2023.1249593</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Parasitology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Elucidating <italic>Spirocerca lupi</italic> spread in the Americas by using phylogenetic and phylogeographic analyses</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Alfaro-Segura</surname>
<given-names>Paula</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2372386"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Robleto-Quesada</surname>
<given-names>Joby</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2361634"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Montenegro-Hidalgo</surname>
<given-names>V&#xed;ctor M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1400044"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Molina-Mora</surname>
<given-names>Jose Arturo</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1880610"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Baneth</surname>
<given-names>Gad</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/167241"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Verocai</surname>
<given-names>Guilherme G.</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2211227"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rodriguez-Vivas</surname>
<given-names>Roger I.</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1079717"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Rojas</surname>
<given-names>Alicia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1076349"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Laboratory of Helminthology, Faculty of Microbiology, University of Costa Rica</institution>, <addr-line>San Jos&#xe9;</addr-line>, <country>Costa Rica</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>School of Veterinary Medicine, Universidad Nacional de Costa Rica</institution>, <addr-line>Heredia</addr-line>, <country>Costa Rica</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Centro de Investigaci&#xf3;n en Enfermedades Tropicales, University of Costa Rica</institution>, <addr-line>San Jos&#xe9;</addr-line>, <country>Costa Rica</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Koret School of Veterinary Medicine, The Hebrew University of Jerusalem</institution>, <addr-line>Rehovot</addr-line>, <country>Israel</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Department of Veterinary Pathobiology, School of Veterinary Medicine &amp; Biomedical Sciences, Texas A&amp;M University, College Station</institution>, <addr-line>TX</addr-line>, <country>United States</country>
</aff>
<aff id="aff6">
<sup>6</sup>
<institution>Campus de Ciencias Biol&#xf3;gicas y Agropecuarias, Facultad de Medicina Veterinaria y Zootecnia, Universidad Aut&#xf3;noma de Yucat&#xe1;n</institution>, <addr-line>Yucat&#xe1;n</addr-line>, <country>Mexico</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Wang Nguitragool, Mahidol University, Thailand</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Serena Cavallero, Sapienza University of Rome, Italy; Petras Prakas, Nature Research Centre, Lithuania</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Alicia Rojas, <email xlink:href="mailto:anaalicia.rojas@ucr.ac.cr">anaalicia.rojas@ucr.ac.cr</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>27</day>
<month>09</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2023</year>
</pub-date>
<volume>2</volume>
<elocation-id>1249593</elocation-id>
<history>
<date date-type="received">
<day>28</day>
<month>06</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>29</day>
<month>08</month>
<year>2023</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Alfaro-Segura, Robleto-Quesada, Montenegro-Hidalgo, Molina-Mora, Baneth, Verocai, Rodriguez-Vivas and Rojas</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Alfaro-Segura, Robleto-Quesada, Montenegro-Hidalgo, Molina-Mora, Baneth, Verocai, Rodriguez-Vivas and Rojas</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>
<italic>Spirocerca lupi</italic> is a parasitic nematode of domestic and wild canids of the world. This nematode induces esophageal spirocercosis and may eventually lead to carcinomas, aortic aneurisms, and death of the animal. Two genotypes of <italic>S. lupi</italic> have been described based on specimens from Europe, Asia, Africa, and Oceania, but no profound analysis has been conducted with <italic>S. lupi</italic> from the Americas. To study this, <italic>S. lupi</italic> specimens isolated from domestic dogs from Mexico, Costa Rica, and the United States, were molecularly characterized using 18S rDNA and <italic>cox</italic>1 fragments. Bayesian inference (BI) phylogenetic trees, Templeton-Crandall-Sing (TCS) haplotype networks and Principal coordinate analysis on nucleotide distances were constructed for each locus separately. In addition, a phylogeographic study using a fragment of the <italic>cox</italic>1 gene was used to infer the evolutionary history of the genus. BI <italic>cox</italic>1 trees grouped <italic>S. lupi</italic> from the Americas in genotype 1, together with Israeli specimens, and showed a high nucleotide identity with those worms. In the TCS network, American specimens clustered next to Israeli <italic>S. lupi</italic>. Furthermore, the 18S rDNA gene fragment separated Costa Rican worms from African, Asian, and European specimens and other species of the family Spiruridae. Interestingly, the phylogeographic analysis suggested that the origin of <italic>S. vulpis</italic> was in Europe, and it later diverged into <italic>S. lupi</italic> that spread first to Africa, then to Asia and finally to the Americas. Therefore, we suggest that the worms from the American continent might have originated from Asia by dispersion of infected intermediate, paratenic or definitive hosts.</p>
</abstract>
<kwd-group>
<kwd>
<italic>Spirocerca lupi</italic>
</kwd>
<kwd>phylogenetics</kwd>
<kwd>phylogeography</kwd>
<kwd>
<italic>Spirocerca vulpis</italic>
</kwd>
<kwd>migration</kwd>
</kwd-group>
<counts>
<fig-count count="4"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="56"/>
<page-count count="11"/>
<word-count count="5318"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Epidemiology and Ecology</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>
<italic>Spirocerca lupi</italic> is a parasitic nematode of mainly wild and domestic canids belonging to the order Spirurida, family Spirocercidae (<xref ref-type="bibr" rid="B39">Nascimento Gomes et&#xa0;al., 2021</xref>). This parasite has an indirect life cycle with coprophagous beetles as intermediate hosts, canids as definitive hosts, and other animals such as rats, lizards, or birds that can act as paratenic hosts (<xref ref-type="bibr" rid="B47">Rojas et&#xa0;al., 2020b</xref>). Canids become infected by eating beetles or paratenic hosts with the infective L3 larvae, which then migrate through the stomach, penetrate the gut wall, and travel through the gastric artery walls until they reach the aorta and the esophagus (<xref ref-type="bibr" rid="B47">Rojas et&#xa0;al., 2020b</xref>). In this way, <italic>S. lupi</italic> induces a disease known as spirocercosis, which usually presents as esophageal nodules that can progress from fibrous and inflammatory lesions to neoplastic lesions in the esophagus (<xref ref-type="bibr" rid="B47">Rojas et&#xa0;al., 2020b</xref>).</p>    <p>This parasite is distributed in the tropics and subtropics of the world, and extensive reports from Israel (<xref ref-type="bibr" rid="B2">Aroch et&#xa0;al., 2015</xref>), Southeast Asia (<xref ref-type="bibr" rid="B2">Aroch et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B26">Hoa et&#xa0;al., 2021</xref>), Africa (<xref ref-type="bibr" rid="B23">Greeff et&#xa0;al., 2018</xref>), and different regions of Europe (<xref ref-type="bibr" rid="B21">Giannelli et&#xa0;al., 2014</xref>; <xref ref-type="bibr" rid="B43">Ps&#xe1;der et&#xa0;al., 2017</xref>) have been published. In the Americas, <italic>S. lupi</italic> has been detected in Southern United States of America (USA) in coyotes (<italic>Canis latrans)</italic>, gray foxes (<italic>Urocyon cinereoargenteus</italic>), red foxes (<italic>Vulpes vulpes</italic>) and bobcats (<italic>Lynx rufus</italic>) (<xref ref-type="bibr" rid="B40">Pence and Stone, 1978</xref>; <xref ref-type="bibr" rid="B37">Morrison and Gier, 1979</xref>), in domestic dogs from USA (<xref ref-type="bibr" rid="B40">Pence and Stone, 1978</xref>), Mexico (<xref ref-type="bibr" rid="B45">Rodr&#xed;guez-Vivas et&#xa0;al., 2019</xref>), Costa Rica (<xref ref-type="bibr" rid="B16">De Aguiar et&#xa0;al., 2021</xref>), and Brazil (<xref ref-type="bibr" rid="B14">Costa Santos et&#xa0;al., 2012</xref>), in maned wolves (<italic>Chrysocyon brachyurus</italic>) from Brazil (<xref ref-type="bibr" rid="B5">Blume et&#xa0;al., 2014</xref>), Andean foxes (<italic>Lycalopex culpaeus</italic>) from Peru (<xref ref-type="bibr" rid="B22">Gomez-Puerta et&#xa0;al., 2018</xref>) and Chile (<xref ref-type="bibr" rid="B17">Di Cataldo et&#xa0;al., 2023</xref>), dogs in Colombia (<xref ref-type="bibr" rid="B51">Santisteban-Arenas and Piedrahita, 2016</xref>), bush dogs (<italic>Speothos venaticus</italic>) in Argentina (<xref ref-type="bibr" rid="B44">Rinas et&#xa0;al., 2009</xref>), and dogs in Grenada (<xref ref-type="bibr" rid="B13">Chikweto et&#xa0;al., 2012</xref>). Most reports have been done with the observation of eggs in feces or post-mortem macroscopic observation of adult worms in lesions at necropsy, but molecular analyses have been implemented for species confirmation only is some of these reports (<xref ref-type="bibr" rid="B22">Gomez-Puerta et&#xa0;al., 2018</xref>). The importance of running both microscopic and molecular methods was demonstrated with the description of <italic>Spirocerca vulpis</italic>, a sister species of <italic>S. lupi</italic> that infects red foxes in Europe (<xref ref-type="bibr" rid="B20">Gama et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B46">Rojas et&#xa0;al., 2020a</xref>). <italic>S. vulpis</italic> is macroscopically undistinguishable from <italic>S. lupi</italic> but shows 30 um teeth in the buccal capsule and molecular divergence of 0.19-0.25% in the 18S rDNA and 9.34% in the cytochrome oxidase subunit 1 (<italic>cox</italic>1) when compared to <italic>S. lupi</italic> (<xref ref-type="bibr" rid="B49">Rojas et&#xa0;al., 2018b</xref>). In this setting, cryptic diversity within species can also be detected by using morphometric comparisons and mitochondrial and ribosomal markers (<xref ref-type="bibr" rid="B11">Chaves-Gonzalez et&#xa0;al., 2022</xref>). Importantly, <italic>S. vulpis</italic> has not been reported in the Americas, despite the introduction and range expansion of red foxes to North America in modern times (<xref ref-type="bibr" rid="B27">Hoffman and Sillero-Zubiri, 2021</xref>) and its finding in Portugal (<xref ref-type="bibr" rid="B20">Gama et&#xa0;al., 2020</xref>), Switzerland (<xref ref-type="bibr" rid="B46">Rojas et&#xa0;al., 2020a</xref>) and France (<xref ref-type="bibr" rid="B35">Medkour et&#xa0;al., 2020</xref>).</p>
<p>Molecular variation among <italic>S. lupi</italic> isolates has been observed in the internal transcribed spacer 1 (ITS1) loci and the <italic>cox</italic>1 gene, which has been useful to trace the species variability (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>). Furthermore, <italic>cox</italic>1 sequences are easier to work with <italic>S. lupi</italic> than the highly variable ITS1, due to the great intraindividual variation observed in the ITS1 with up to six different copies of the loci in a single specimen (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>). Accordingly, a phylogenetic study using the ITS1, <italic>cox</italic>1 and 18S rDNA loci, concluded that there is a high genetic variation among <italic>S. lupi</italic> specimens circulating in Africa, Asia, and Europe (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>). The findings in the three loci led to the identification of two genotypes of <italic>S. lupi</italic>: the first genotype included specimens from Australia, India, Israel, and South Africa, and the second genotype with specimens from Hungary and Italy (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>). Accordingly, a 0.14%, 8.06% and 6.48% variation in the 18S rDNA, ITS1 and <italic>cox</italic>1, respectively, were found between genotypes. However, the phylogenetic relationships of <italic>S. lupi</italic> in the Americas is not yet elucidated, and <italic>cox</italic>1 sequences from Andean foxes from Peru and Chile (<xref ref-type="bibr" rid="B22">Gomez-Puerta et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B17">Di Cataldo et&#xa0;al., 2023</xref>) confirmed the high genetic variability observed in geographical locations in the Americas. The present study analyzed <italic>cox</italic>1 and 18S rDNA gene fragments of specimens from Costa Rica, Mexico, and the United States and compared them with the specimens from the Old World.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Specimen collection</title>
<p>A total of eight adult specimens of <italic>S. lupi</italic>, six from Costa Rica, three from Mexico and three from the US were obtained from domestic dogs. Two of these nematodes were found in subcutaneous tissues in a dog from Costa Rica (<xref ref-type="bibr" rid="B41">Porras-Silesky et&#xa0;al., 2022</xref>), and the other specimens were obtained from esophageal nodules after a <italic>post-mortem</italic> dissection or collection during endoscopic examination. Ethics Committee evaluation was not required since specimens were collected during routine animal evaluation without any intervention to patients.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>DNA extraction</title>
<p>DNA was extracted using the DNeasy Blood and Tissue kit (Qiagen, Hilden, Germany), following the manufacturer&#x2019;s instructions. Samples from Mexico and the US were incubated with 20 &#xb5;L of proteinase K and 400 &#xb5;L of ATL buffer at 56&#xb0;C for 16 hours. DNA concentration and purity was measured in a NanoDrop (Thermo Scientific, US).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Amplification of the 18S rDNA and <italic>cox</italic>1 loci</title>
<p>Ribosomal 18S rDNA and mitochondrial <italic>cox</italic>1 genes were amplified in conventional PCRs. Analysis of the ITS1 loci was not included herein since genotyping with 18S rDNA and <italic>cox</italic>1 render the same genotyping results. In addition, <italic>Spirocerca</italic> spp. ITS1 have high intraindividual variability, leading to additional steps of cloning and sequencing (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>).</p>
<p>To study the <italic>cox</italic>1 gene, two overlapping fragments were amplified. First, a 600 bp fragment, referred to as fragment A was amplified, using primers NTF (5&#x2019;-TGATTGGTGGTTTTGGTAA-3&#x2019;) and NTR (5&#x2019;-ATAAGTACGAGTATCAATATC-3&#x2019;) (<xref ref-type="bibr" rid="B9">Casiraghi et&#xa0;al., 2001</xref>) at 200 nM. Then, a 350 bp fragment, referred to as fragment B, was amplified using the JB3 (5&#x2019;-TTTTTTGGGCATCCTGAGGTTTAT-3&#x2019;) and JB4.5 (5&#x2019;-TAAAGAAAGAACATAATGAAAATG-3&#x2019;) (<xref ref-type="bibr" rid="B7">Bowles et&#xa0;al., 1992</xref>) primers at 400 nM. A fragment of approximately 850 bp of the 18S rDNA gene was amplified using the Nem18S rDNA-F (5&#x2019;-CGCGAATRGCTCATTACAACAGC-3&#x2019;) and Nem18S rDNA-R (5&#x2019;-GGGCGGTATCTGATCGCC-3&#x2019;) (<xref ref-type="bibr" rid="B19">Floyd et&#xa0;al., 2005</xref>) primers at 200 nM. All reactions were run at a final volume of 25 &#xb5;L, 3 &#xb5;L of DNA template, a positive control with <italic>S. lupi</italic> from Israel, a negative control of <italic>Ehrlichia canis</italic>, and a non-template control with ultra-purified water.</p>
<p>The obtained amplicons were examined on 1.5% agarose gels stained with SYBR-Safe at 90&#xa0;V for 30 minutes. All DNA amplicons were purified with Exo-SAP (Thermo Scientific, US) and sequenced in both directions according to the Sanger method, using the ABI 3730xl System in Macrogen Inc., Korea.</p>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Phylogenetic and species delimitation analyses</title>
<p>All sequences were inspected and trimmed using the MEGA 7.0 software (<ext-link ext-link-type="uri" xlink:href="https://www.megasoftware.net/">https://www.megasoftware.net/</ext-link>) (<xref ref-type="bibr" rid="B31">Kumar et&#xa0;al., 2016</xref>). The obtained 18S rDNA and <italic>cox</italic>1 sequences were aligned together with other <italic>Spirocerca</italic> spp. sequences, retrieved from the Genbank database using the MUSCLE algorithm (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Tables&#xa0;1</bold>
</xref>, <xref ref-type="supplementary-material" rid="SM1">
<bold>2</bold>
</xref>). Sequences corresponded to samples from Bosnia and Herzegovina, China, Hungary, India, Israel, Peru, South Africa, and Spain. Moreover, <italic>Dirofilaria immitis</italic> was used as an outgroup for both genes.</p>
<p>Data on 18S rDNA and <italic>cox</italic>1 genes were analyzed with Bayesian inference (BI) phylogenetic algorithm. First, the best nucleotide substitution models were calculated using the BI criteria of JModelTest 2.1.10 (<xref ref-type="bibr" rid="B24">Guindon and Gascuel, 2003</xref>; <xref ref-type="bibr" rid="B15">Darriba et&#xa0;al., 2012</xref>). The three-parameter model 2 with gamma distribution (TPM2+G) (<xref ref-type="bibr" rid="B36">Michalek and Ventura, 2019</xref>) was chosen for the 18S rDNA sequences and Tamura-Nei with gamma distribution (TrN+G) (<xref ref-type="bibr" rid="B54">Tamura and Nei, 1993</xref>) for the <italic>cox</italic>1. Phylogenetic trees were generated using the package Bayesian Evolutionary Analysis by Sampling Trees (BEAST v1.10.4) (<xref ref-type="bibr" rid="B6">Bouckaert et&#xa0;al., 2019</xref>), and an.xml input file was created with Bayesian Evolutionary Analysis Utility (BEAUti v1.10.4) with 10<sup>7</sup> Markov chain Monte Carlo (MCMC) generations and a burn-in length of 10<sup>3</sup>. Tree priors were verified with Tracer v1.7.2, and trees were summarized using the TreeAnnotator v1.10.4. software and subsequently visualized with the FigTree 1.4.3 program. Moreover, maximum likelihood trees were traced using MEGA 10.0 to compare the topology to the BI tree. Additionally, a Templeton-Crandall-Sing (TCS) haplotype network was constructed to determine the phylogenetic relationships of the 18S rDNA and <italic>cox</italic>1 genes, with a 95% connection limit using the PopArt software (<xref ref-type="bibr" rid="B33">Leigh and Bryant, 2015</xref>).</p>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Nucleotide distance and genetic structure analysis</title>
<p>Fragment B <italic>cox</italic>1 sequences were amplified in most (10 out of 14) <italic>S. lupi</italic> specimens, hence, were the most represented among geographical locations. A pairwise genetic nucleotide distance heatmap was constructed with fragment B <italic>cox</italic>1 sequences using the Sequence Demarcation Tool version 1.2 (<ext-link ext-link-type="uri" xlink:href="http://web.cbio.uct.ac.za/~brejnev/">http://web.cbio.uct.ac.za/~brejnev/</ext-link>) (<xref ref-type="bibr" rid="B38">Muhire et&#xa0;al., 2014</xref>). Additionally, a principal coordinate analysis (PCoA) was created using GenAIEx 6.503 to determine Nei&#xb4;s genetic distance among fragment B <italic>cox</italic>1 sequences from different locations (<xref ref-type="bibr" rid="B53">Smouse et&#xa0;al., 2017</xref>). Pairwise nucleotide distances by using the p-distance method and bootstraps as the variance estimation method were calculated in MEGA 10.0.</p>    <p>To infer genetic structure, fragment B <italic>cox</italic>1 sequences from 28 <italic>S. lupi</italic> and five <italic>S. vulpis</italic> worms were analyzed using the Structure 2.3.4 software. Genetic population structure assigns individuals of the same species to a certain population or &#x2018;<italic>k</italic> cluster&#x2019; based on genetic markers (<xref ref-type="bibr" rid="B42">Pritchard et&#xa0;al., 2000</xref>). The analysis was run with a burn-in length period of 5000 and several MCMC replicas after a burn-in of 10000 based on the MCMC algorithm. Moreover, ten simulations were performed for each <italic>k</italic> value (set from 1 to 10). (<ext-link ext-link-type="uri" xlink:href="https://web.stanford.edu/group/pritchardlab/structure.html">https://web.stanford.edu/group/pritchardlab/structure.html</ext-link>) (<xref ref-type="bibr" rid="B28">Hubisz et&#xa0;al., 2009</xref>). The optimum <italic>k</italic> value was determined using Structure harvester software (<ext-link ext-link-type="uri" xlink:href="https://taylor0.biology.ucla.edu/structureHarvester/">https://taylor0.biology.ucla.edu/structureHarvester/</ext-link>) (<xref ref-type="bibr" rid="B18">Earl and Vonholdt, 2012</xref>), which generated the in-files to use in the CLUMPP version 1.1.2 software. The CLUMPP software (<ext-link ext-link-type="uri" xlink:href="https://rosenberglab.stanford.edu/clumpp.html">https://rosenberglab.stanford.edu/clumpp.html</ext-link>) was used as a supporting software to identify the most frequent clustering patterns (<xref ref-type="bibr" rid="B29">Jakobsson and Rosenberg, 2007</xref>). Bar graphs of the clusters generated in CLUMPP for the optimum <italic>k</italic> value were plotted in Microsoft Excel.</p>
</sec>
<sec id="s2_6">
<label>2.6</label>
<title>Phylogeographic analysis</title>
<p>Phylogeographic analysis was done in all fragment B <italic>cox1</italic> sequences as also applied in other studies with eukaryotes (<xref ref-type="bibr" rid="B55">Tremetsberger et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B56">Vasquez-Aguilar et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B1">Andersen et&#xa0;al., 2022</xref>). A discrete phylogenetic diffusion analysis with the BEAST v1.10.4 software (<xref ref-type="bibr" rid="B6">Bouckaert et&#xa0;al., 2019</xref>) was applied. Briefly, BEAUti v1.10.4 was used to configure the parameters, including an asymmetric diffusion model for species and location (latitude and longitude) as traits. A Bayes factor test was implemented to identify the rates of the most parsimonious description of the phylogeographic diffusion process within categories of traits by considering a Bayesian stochastic search variable selection (BSSVS) analysis. The MCMC was run with a chain length of 2 x 10<sup>8</sup> steps with a sub-sampling every 10 000 generations. The substitution model was set as a Hasegawa-Kishino-Yano (HKY) approach using 4 gamma rate categories. The approach included a constant size tree prior, and a strict molecular clock. Tracer v1.7.2 was used to monitor the convergence of the model with an Effective Sample Size ESS &gt;200 for all parameters. Bayes factors were estimated using spreaD3_v0.9.7.1, in which values &gt;10 were considered as strong evidence for diffusion events, as suggested before (<xref ref-type="bibr" rid="B6">Bouckaert et&#xa0;al., 2019</xref>). The resulting tree was annotated using the TreeAnnotator v1.10.4 software with a subsequent analysis in spreaD3_v0.9.7.1 to generate the phylogeographic map.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>Analysis of the 18S rDNA gene</title>
<p>A 908 bp portion of the 18S rDNA gene in five <italic>S. lupi</italic> from Costa Rica was successfully amplified (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>). In contrast, sequences of the specimens from Mexico and the USA could not be obtained possibly to low DNA concentration or fragmentation. Due to the low variability in this employed fragment, <italic>S. lupi and S. vulpis</italic> cannot be resolved. The BI tree clustered the Costa Rican specimens together with other <italic>Spirocerca</italic> spp. and closer to worms from Israel, South Africa, and India with 0.998 posterior probabilities (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>). The ML tree mirrored the topology of the BI analysis and sequences from Costa Rica were clustered with other <italic>Spirocerca</italic> spp (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1A</bold>
</xref>).</p>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Analysis of the 18S rDNA gene. <bold>(A)</bold> Bayesian inference phylogenetic tree using a Three-parameter model 2 with gamma distribution for <italic>Spirocerca</italic> spp. and other species of the family Spiruridae. Posterior probability values are shown above the branches. <bold>(B)</bold> Templeton-Crandall-Sing (TCS) haplotype network, different colors correspond to the different sampling localities, and the size corresponds to the number of sequences that share the same haplotype. Mutations between sequences are shown as small lines in the branches. CR, Costa Rican specimens.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpara-02-1249593-g001.tif"/>
</fig>
<p>The TCS haplotype network demonstrated five different <italic>Spirocerca</italic> haplotypes (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>). One haplotype is shared among sequences of <italic>S. lupi</italic> specimens from Costa Rica, Israel, India, and South Africa and another one is shared between <italic>S. lupi</italic> from Hungary and <italic>S. vulpis</italic> from Spain, Bosnia and Herzegovina, and USA sequences. Additionally, two independent haplotypes were represented by two sequences from Costa Rican specimens.</p>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Analysis of the <italic>cox</italic>1 gene</title>
<p>Fragment B of the <italic>cox</italic>1 gene was amplified in 10 out of 14 <italic>S. lupi</italic> specimens from Costa Rica, Mexico, and the USA, whereas fragment A was amplified only for worms from Costa Rica. Therefore, this fragment was used for subsequent analyses. Two polymorphic sites among American sequences were observed in positions 115 and 154. When compared to Israeli sequences in the same fragment, five additional polymorphic sites were obtained, namely in positions 4, 49, 82, 157 and 196. Sequences from the American specimens (Costa Rica, Peru, Mexico, and USA) clustered in genotype 1, with a posterior probability of 0.995 in the BI phylogenetic tree (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>), very close to Israeli specimens. In addition, the same clustering of sequences was obtained in the ML tree (<xref ref-type="supplementary-material" rid="SF1">
<bold>Supplementary Figure&#xa0;1B</bold>
</xref>), with <italic>S. lupi</italic> sequences from the Americas in the same group of Israel with 70 bootstraps. Moreover, the nucleotide distance heatmap showed a similarity from 97.74% to 99.35% (mean= 98.90%, standard deviation (SD)=0.47) between the specimens from the Americas and Israel. A lower pairwise identity was observed between specimens from the Americas and South Africa and India ranging from 94.52% to 98.38% similarity (mean=96.19%, SD=1.44). Nucleotide distance between <italic>S. lupi</italic> specimens from the Americas and <italic>S. vulpis</italic> showed 94.78% similarity (SD=0.22, range from 94.19 to 95.161). Meanwhile, nucleotide distance between <italic>S. lupi</italic> from the Americas and Hungary showed the lowest pairwise identity of all, with a range from 92.85% to 93.55% (mean=93.01%, SD=0.32). Pairwise nucleotide p-distance results are shown in <xref ref-type="supplementary-material" rid="SF4">
<bold>Supplementary File 1</bold>
</xref>.</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Analysis of <italic>S. lupi cox</italic>1 gene. <bold>(A)</bold> Bayesian inference phylogenetic tree based on the Tamura-Nei with gamma distribution model, inferred from fragment B of the <italic>cox</italic>1 gene. A color-coded heatmap of pairwise genetic distances of the <italic>cox</italic>1 fragment B sequences. The black, gray, and light gray dots refer to the host species of each sequence.(Pence and Stone) <bold>(B)</bold>. Principal coordinates analysis for the <italic>cox</italic>1 gene. <bold>(C)</bold> Templeton-Crandall-Sing (TCS) haplotype network for the <italic>cox</italic>1 gene, different colors correspond to the different sampling localities, and the size corresponds to the number of sequences that share the same haplotype. nucleotide substitutions are shown as small lines in the branches and hypothetical sequences are shown as black dots connecting the haplotypes.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpara-02-1249593-g002.tif"/>
</fig>
<p>The nucleotide distance PCoA confirmed previous findings by clustering sequences according to geographical locations (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>). Accordingly, a greater divergence was obtained between <italic>S. vulpis</italic> from Spain and <italic>S. lupi</italic> from Hungary compared to the divergence of <italic>S. lupi</italic> from Hungary to the other <italic>S. lupi</italic> genotype 1. Additionally, a close sequence association was observed between Israeli and American sequences. The greatest separation was observed in axis Y which separated genotypes 1 and 2 of <italic>S. lupi</italic> from <italic>S. vulpis</italic> sequences and explained 61.1% of the variance. Furthermore, axis X explained 33.5% of the observed variance and divided <italic>S. vulpis</italic> from both <italic>S. lupi</italic> genotypes. Sequences of specimens from China and India were clustered apart from the sequences obtained from Israeli and American specimens. Interestingly, sequences of South African nematodes were located between these two groups.</p>
<p>The TCS network showed 16 haplotypes and demonstrated a close association between the specimens from the Americas, as well as a shared haplotype of the Costa Rican, US, and Peruvian specimens (<xref ref-type="fig" rid="f2">
<bold>Figure 2C</bold>
</xref>). Moreover, the specimen from Hungary, which was grouped in genotype 2 (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>), presented a clear separation from the specimens that belonged to genotype 1 with 18 mutational steps. And, as expected, <italic>S. vulpis</italic> from Spain and Bosnia and Herzegovina created another cluster separated from <italic>S. lupi</italic> specimens.</p>
<p>Population structure analysis defined <italic>k</italic>=3 as the optimum <italic>k</italic> value, so the populations were divided into 3 different groups or genetic clusters (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3A</bold>
</xref>). Group 1 contained all <italic>S. lupi</italic> sequences from the Americas, Israel, and partially one of the sequences from South Africa. In addition, group 2 clustered the sequences from India, China, and the other South African sequences, whereas group 3 contained sequences of <italic>S. vulpis</italic> from Spain. Interestingly, the two sequences from Hungary were placed in both group 2 and 3, approximately a 55% of the sequences belong to group 3, and 43% belong to group 2, the other 2% was placed in group 1. Likewise, graphs for the <italic>k</italic>=4 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>) and <italic>k</italic>=5 (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>) were plotted, and the results were very similar to <italic>k=3</italic> but including additional subdivisions.</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Graphs for the k=3 <bold>(A)</bold>, k=4 <bold>(B)</bold>, and k=5 <bold>(C)</bold> population structure results. Each bar represents an individual, which is identified by accession number, country, and host in the &#x2018;x&#x2019; axis. The legend shows a different color for the hosts and geographic distributions for each of the 33 sequences of the cox1 gene. The different colors in the bars represent their probability of being a part of each group, which is shown in the `y` axis.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpara-02-1249593-g003.tif"/>
</fig>
<p>Four groups of sequences were estimated when using <italic>k=4</italic>: i) group 1 with sequences mainly from Israel, the Americas and one from South Africa, ii) group 2 with sequences mainly from South Africa, India and China, iii) group 3 formed by sequences from Hungary and iv) group 4 with <italic>S. vulpis</italic> sequences. The sequences from the Americas were not distinguishable from the Israeli, except for the Mexican sequence which shared a small percentage with group 3 from Hungary. Furthermore, all sequences from South Africa clustered in group 2, but in different percentages; however, one of these sequences shares only 30% with group 2, and 70% with other sequences in group 1.</p>
<p>When using <italic>k=5 the</italic> following groups were obtained (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>): i) group 1 with sequences from Israel and the Americas, ii) group 2 with a portion of South African and the Mexican sequence, iii) group 3 with sequences from India, China and portions of South Africa, iv) Group 4 with <italic>S. vulpis and</italic> v) group 5 with sequences from Hungary sequences.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Phylogeographic analysis</title>
<p>Based on the available sequences of <italic>cox</italic>1 gene (fragment B) and species and locations as traits, the discrete phylogenetic diffusion analysis suggests that <italic>S. vulpis</italic> sequences from Spain function as a starting point in the natural history of the distribution of <italic>Spirocerca</italic> spp. (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>). This includes the differentiation of the ancestral <italic>S. vulpis</italic> into <italic>S. lupi</italic>, as supported by the Bayes factor value of 3262.18, in contrast to the opposite transition rate among species with a value &lt;1 (<xref ref-type="fig" rid="f4">
<bold>Figure&#xa0;4</bold>
</xref>, right-bottom).</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Phylogeographic analysis of <italic>cox</italic>1 sequences of <italic>Spirocerca</italic> spp. Distribution of the worm is suggested to have started from Europe to Africa and Asia, including the differentiation of the parental <italic>S. vulpis</italic> into <italic>S. lupi</italic>, as supported by the Bayes factors (right-bottom). An eminent arrival from Western Asia to the Americas is predicted, with a new genomic profile making Israel a hub element in the spread of <italic>Spirocerca</italic> spp. Numbers indicate spreading among geographic locations over time.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fpara-02-1249593-g004.tif"/>
</fig>
<p>A first expansion seems to have occurred from Europe to Africa and subsequently to Asia in two different ways. Regarding the Chinese and Indian, sequences, these are highly related to sequences from Europe and South Africa, suggesting a first genetic group. In an independent way, a second group was predicted to have originated after the arrival of <italic>Spirocerca lupi</italic> to Israel leading to their spread to the Americas. In this second genetic cluster, the parasite probably arrived first to South America and then expanded northward into Central and North America. These results are in line with the predictions based on the TCS network, the phylogeny, and the nucleotide distance PcoA.</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The evolutionary history of the <italic>Spirocerca</italic> spp. has been speculated since the recent description of the <italic>S. vulpis and</italic> the characterization of different <italic>S. lupi</italic> genotypes. Phylogenetic analysis of <italic>S. lupi</italic> in the Americas has been limited, but our results shed light on the speciation process of this parasite. The data obtained in this study revealed that specimens from Costa Rica, Mexico, the United States, and Peru were closely related among each other, and to those from Israel according to <italic>cox</italic>1 analysis. Interestingly, our data at the phylogenetic and phylogeographic levels shows that <italic>S. vulpis</italic> from Europe was the common ancestor species from which <italic>S. lupi</italic> genotypes 1 and 2 derived and geographically expanded across Asia and Africa. According to the available data, it was shown that <italic>S. lupi</italic> from the Americas might have originated from Western Asia later in time. In fact, canids in the American continent, may have migrated across the Panama land bridge from North to South America (<xref ref-type="bibr" rid="B12">Chavez et&#xa0;al., 2022</xref>). Extant species in South America are monophyletic and have diversified throughout the years after being exposed to different environments, but the similarity in their diets and behaviors may have aided in the spread of <italic>S. lupi</italic> all over the continent (<xref ref-type="bibr" rid="B12">Chavez et&#xa0;al., 2022</xref>). Ribosomal 18S rDNA sequence analysis showed great similarities between <italic>S. lupi</italic> specimens from India, Israel, South Africa, and Costa Rica, as shown in the phylogenetic and haplotype network analyses. The 18S rDNA gene is a highly conserved and functional region, therefore, it evolves slower and is useful for phylogenetic reconstruction in higher taxonomic levels, but does not always discriminate among specimens from the same species (<xref ref-type="bibr" rid="B30">Kobayashi, 2011</xref>; <xref ref-type="bibr" rid="B10">Chan et&#xa0;al., 2021</xref>). Therefore, the 18S rDNA Bayesian phylogenetic tree showed that the <italic>Spirocerca</italic> spp. belong to a group that is separated from other members of the family Spiruridae as previously observed (<xref ref-type="bibr" rid="B49">Rojas et&#xa0;al., 2018b</xref>). This group includes two <italic>S. vulpis</italic> sequences and several <italic>S. lupi</italic> sequences, including the ones from Costa Rica. Since two <italic>S. lupi</italic> genotypes have been determined, mitochondrial genes were used in this study to attain a larger intraspecies resolution than that obtained for the 18S rDNA gene.</p>
<p>Mitochondrial DNA markers, such as the <italic>cox</italic>1, are suitable for species identification and establishing relationships between members of a population since they evolve fast in nematodes and, therefore, generate a higher degree of genetic variability than other molecular markers (<xref ref-type="bibr" rid="B4">Blouin, 2002</xref>; <xref ref-type="bibr" rid="B10">Chan et&#xa0;al., 2021</xref>). As pointed out before, molecular yardsticks for classifying cryptic diversity or separating species should adapt to each species, since each group has its own intrinsic variability (<xref ref-type="bibr" rid="B11">Chaves-Gonzalez et&#xa0;al., 2022</xref>). Despite the great variability in the ITS1 loci, <italic>cox</italic>1 sequences mirrors the clustering of the ITS1 (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>), therefore, the latter is more practical to analyze. Bayesian inference phylogenetic tree, nucleotide distance PcoA, haplotype network and phylogeographic analyses for the <italic>S. lupi cox</italic>1 sequences confirmed the separation within the previously defined genotype 1 (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>) into genotype 1A with sequences from specimens from the Americas and Israel and genotype 1B with sequences from South African, Indian and Chinese <italic>S. lupi</italic>. In addition, the results shown herein maintain the <italic>S. lupi</italic> genotype 2 with sequences of worms from Hungary (<xref ref-type="bibr" rid="B48">Rojas et&#xa0;al., 2018a</xref>). When comparing sequences from the Americas to the other sequences within genotype 1, the nucleotide distance heatmap showed a higher pairwise identity among the American <italic>vs</italic> Israeli specimens, than with Indian, Chinese, and South African specimens. Thus, verifying that the American sequences belong in the genotype 1A along with the Israeli sequences.</p>
<p>For the <italic>cox</italic>1 analysis of <italic>S. lupi</italic> it has been determined that the optimal number of <italic>k</italic> clusters is 3. Therefore, this analysis has been useful to categorize individuals into different populations based on objective features, such as genetic data, and not just on traits such as geographical location or hosts the specimens were found in (<xref ref-type="bibr" rid="B42">Pritchard et&#xa0;al., 2000</xref>). All specimens from the Americas, including the ones from Peru generated in another study, were categorized in Group 1 with the Israeli specimens in Genotype 1A. Group 2 contained worms from South Africa, India and China and Group 3 clustered with specimens of Bosnia and Herzegovina, Spanish, and Hungary. The results were very similar when using <italic>k=</italic>4 and <italic>k=</italic>5 clusters, however, one single individual can be a part of multiple clusters (<xref ref-type="bibr" rid="B50">Rosenberg et&#xa0;al., 2002</xref>), which was another interesting finding in this study with the South African and Mexican specimens. In <italic>k=4</italic>, the Mexican sequence showed a small percentage of divergence from Group 1 and a genetic similarity to Group 3, which mainly involves the Hungarian specimens (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3B</bold>
</xref>). In <italic>k=5</italic>, the Mexican sequences showed a genetic similarity to Group 2, which clusters the South African specimens (<xref ref-type="fig" rid="f3">
<bold>Figure&#xa0;3C</bold>
</xref>). Moreover, the PcoA and phylogeographic analyses confirmed the previous findings and clearly showed the separation of Genotype 1 into 1A and 1B. With these results, it can be inferred, once again, that the American specimens are more similar to the Israeli ones.</p>
<p>The Peruvian specimens, unlike the rest of the American specimens, were collected from Andean foxes, not domestic dogs, and the authors in this study found less than 5% nucleotide difference between the Peruvian and African, Asian, and European sequences (<xref ref-type="bibr" rid="B22">Gomez-Puerta et al., 2018</xref>). The results obtained there were fairly similar to ours, when comparing the short sequences of the <italic>cox</italic>1 (<xref ref-type="bibr" rid="B22">Gomez-Puerta et al., 2018</xref>). These sequences also showed a 98-99% similarity to the other sequences from the Americas. This high similarity might be explained by the fact that <italic>S. lupi</italic> infected a myriad of canid species, including Andean foxes due to their phylogenetic proximity, and lack of host specificity. Andean foxes might have become infected with <italic>S. lupi</italic> as a spillover effect from infected dogs or other unrecognized or extinct infected canid hosts in the area (<xref ref-type="bibr" rid="B25">Guzm&#xe1;n-Sandoval et&#xa0;al., 2007</xref>; <xref ref-type="bibr" rid="B22">Gomez-Puerta et al., 2018</xref>). However, there is still much we don&#x2019;t know about <italic>S. lupi</italic> host-specificity in the Americas. For example, a study in South Africa found that black-backed jackals (<italic>Canis mesomelas</italic>) are less susceptible than dogs to the parasite (<xref ref-type="bibr" rid="B8">Bumby et&#xa0;al., 2017</xref>), but the role of Andean foxes and other canids in the distribution and cycle of <italic>S. lupi</italic> in the Americas is not well elucidated yet. Therefore, to further understand how <italic>S. lupi</italic> circulates in this region, more epidemiological and molecular studies are needed.</p>
<p>One of the most interesting questions that derive from this study is the geographic expansion route of <italic>S. lupi</italic> between the continents, especially if the parasite migrated from Israel to America as suggested by the phylogeographic approach. The migration from one continent to another is not unique to <italic>S. lupi</italic>. Small et&#xa0;al. (<xref ref-type="bibr" rid="B52">Small et&#xa0;al., 2019</xref>), studied the spread of the human filarioid <italic>Wuchereria bancrofti</italic> through the tropics by using whole genome DNA sequences, finding that this species probably arrived to Haiti (New World) from Africa along with people during the transatlantic slave trade. In addition, the authors proposed that the genetic diversity among these parasite populations could be due to the different environments, vectors and variations in the immune response of the different hosts (<xref ref-type="bibr" rid="B52">Small et&#xa0;al., 2019</xref>). Similarly, <xref ref-type="bibr" rid="B32">Laidoudi et&#xa0;al. (2022)</xref>, also highlighted the importance of the epidemiological context when discussing genetic diversity among vector-borne helminths of canids, as well as the difference in the vectors and hosts involved (<xref ref-type="bibr" rid="B32">Laidoudi et&#xa0;al., 2022</xref>). The results obtained in the <italic>W. bancrofti</italic> analysis are highly robust due to the study of the whole set of genes of several isolates. On the other hand, herein we could analyze a single mitochondrial locus from more than 20 different specimens since the genome of <italic>S. lupi</italic> has not been sequenced yet. Therefore, conclusions drawn from the present work should be interpreted cautiously. Nevertheless, to further explain the migration of <italic>S. lupi</italic>, when it spread through the Americas and the genetic diversity established, more epidemiological studies with more comprehensive, geographic and host sampling, molecular characterization, and more robust molecular datasets is needed.</p>
<p>Phylogeographic tools employed herein have been designed for the analysis of the evolutionary processes of rapidly changing viruses and bacteria (<xref ref-type="bibr" rid="B3">Bielejec et&#xa0;al., 2016</xref>). Importantly, these methods have been used before in the analysis of other organisms like the protozoa <italic>Hepatozoon</italic> spp. (<xref ref-type="bibr" rid="B56">Vasquez-Aguilar et&#xa0;al., 2021</xref>) or Northern Birch mice (<xref ref-type="bibr" rid="B1">Andersen et&#xa0;al., 2022</xref>) using longer sequences such as mitochondrial DNA or a higher number of specimens. Therefore, a major limitation of this study relies in the analysis of a lower number of <italic>S. lupi</italic> sequences due to the difficulty in obtaining whole specimens from dog lesions. Moreover, similar phylogeographic algorithms designed specifically for helminths are scarce or do not exist. The presented results must be interpreted with caution since mutational rates and generational times vary with genome sizes and will vary in viruses and bacteria (<xref ref-type="bibr" rid="B34">Lynch, 2010</xref>), and in this case, in nematodes. The herein analyses highlight the use and limitations of bioinformatic applications and the adaptation of these tools to different biological groups, such as helminths.</p>
</sec>
<sec id="s5" sec-type="conclusions">
<label>5</label>
<title>Conclusions</title>
<p>
<italic>Spirocerca lupi</italic> collected from three geographic areas of the Americas belongs to genotype 1 according to the analysis of a <italic>cox</italic>1 fragment <italic>and</italic> is closely related to specimens from Israel, as inferred using a combination of phylogenetic, haplotype and phylogeographic analyses. Additionally, it is suggested that the <italic>Spirocerca</italic> spp. evolutionary history began with <italic>S. vulpis in</italic> Eurasia, leading to its divergence into <italic>S. lupi</italic> which later spread to Africa, Asia, and South America, along with canid hosts. This study analyzed a single locus of 32 <italic>S. lupi and S. vulpis</italic> specimens from 11 different geographical regions of the world, and thus, these results should be interpreted with caution since phylogeographic algorithms are designed for bacterial or viral genomes. This in turn, highlights the need for bioinformatic tools tailored to reflect the evolutionary history of helminths.</p>
</sec>
<sec id="s6" sec-type="data-availability">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="supplementary-material" rid="SM1"><bold>Supplementary files</bold></xref>, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The manuscript presents research on animals that do not require ethical approval for their study.</p>
</sec>
<sec id="s8" sec-type="author-contributions">
<title>Author contributions</title>
<p>PA-S, JR-Q and AR conceived the study. VM-H, GV and RR-V provided <italic>S. lupi</italic> specimens. PA-S, JR-Q, JM-M, GB, and AR analyzed the data and generated the figures. PA-S and AR wrote the first draft of the manuscript. All authors critically reviewed and edited the manuscript and approved its final version.</p>
</sec>
</body>
<back>
<sec id="s9" sec-type="funding-information">
<title>Funding</title>
<p>Funding was provided to AR by the Vicerrector&#xed;a de Investigaci&#xf3;n of the University of Costa Rica under grant C2064.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>The authors thank Irene Alvarado and Carolina Espinoza for providing <italic>S. lupi</italic> worms from domestic dogs of Costa Rica.</p>
</ack>
<sec id="s10" 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>
<p>The author(s) GB and AR declared that they were editorial board members of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s11" 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="s12" 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/fpara.2023.1249593/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fpara.2023.1249593/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Image_1.jpeg" id="SF1" mimetype="image/jpeg">
<label>Supplementary Figure&#xa0;1</label>
<caption>
<p>Maximum likelihood trees of 18S rDNA <bold>(A)</bold> and <italic>cox</italic>1 <bold>(B)</bold> gene fragments based on the Tamura-Nei with gamma distribution model. Bootstrap values below 70 are now shown.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_1.docx" id="SF4" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document">
<label>Supplementary File 1</label>
<caption>
<p>Nucleotide pairwise p-distance among <italic>S. lupi and S. vulpis cox</italic>1 sequences included in the study.</p>
</caption>
</supplementary-material>
<supplementary-material xlink:href="Table_2.docx" id="SF3" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Table_3.xlsx" id="SF2" mimetype="application/vnd.openxmlformats-officedocument.spreadsheetml.sheet"/>
<supplementary-material xlink:href="Video_1.mov" id="SM1" mimetype="video/quicktime"/>
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