<?xml version="1.0" encoding="UTF-8"?><!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Publishing DTD v1.2 20190208//EN" "http://jats.nlm.nih.gov/publishing/1.2/JATS-journalpublishing1.dtd"><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article" dtd-version="1.2" xml:lang="en">
    <front>
        <journal-meta>
            <journal-id journal-id-type="pmc">F1000Research</journal-id>
            <journal-title-group>
                <journal-title>F1000Research</journal-title>
            </journal-title-group>
            <issn pub-type="epub">2046-1402</issn>
            <publisher>
                <publisher-name>F1000 Research Limited</publisher-name>
                <publisher-loc>London, UK</publisher-loc>
            </publisher>
        </journal-meta>
        <article-meta>
            <article-id pub-id-type="doi">10.12688/f1000research.22627.2</article-id>
            <article-categories>
                <subj-group subj-group-type="heading">
                    <subject>Research Article</subject>
                </subj-group>
                <subj-group>
                    <subject>Articles</subject>
                </subj-group>
            </article-categories>
            <title-group>
                <article-title>Identification 
                    <italic>Sus scrofa </italic>and 
                    <italic>Mus musculus </italic>as potential hosts of SARS-CoV-2 via phylogenetic and homologous recombination analysis</article-title>
                <fn-group content-type="pub-status">
                    <fn>
                        <p>[version 2; peer review: 1 approved with reservations]</p>
                    </fn>
                </fn-group>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Hu</surname>
                        <given-names>Xiaopeng</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Data Curation</role>
                    <role content-type="http://credit.niso.org/">Formal Analysis</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Original Draft Preparation</role>
                    <role content-type="http://credit.niso.org/">Writing &#x2013; Review &amp; Editing</role>
                    <uri content-type="orcid">https://orcid.org/0000-0002-6533-8024</uri>
                    <xref ref-type="aff" rid="a1">1</xref>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>Li</surname>
                        <given-names>Weixin</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Project Administration</role>
                    <role content-type="http://credit.niso.org/">Resources</role>
                    <role content-type="http://credit.niso.org/">Software</role>
                    <xref ref-type="aff" rid="a1">1</xref>
                </contrib>
                <contrib contrib-type="author" corresp="no">
                    <name>
                        <surname>He</surname>
                        <given-names>Zhendan</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Funding Acquisition</role>
                    <role content-type="http://credit.niso.org/">Investigation</role>
                    <xref ref-type="aff" rid="a2">2</xref>
                </contrib>
                <contrib contrib-type="author" corresp="yes">
                    <name>
                        <surname>Zhang</surname>
                        <given-names>Fengxue</given-names>
                    </name>
                    <role content-type="http://credit.niso.org/">Supervision</role>
                    <role content-type="http://credit.niso.org/">Validation</role>
                    <role content-type="http://credit.niso.org/">Visualization</role>
                    <xref ref-type="corresp" rid="c1">a</xref>
                    <xref ref-type="aff" rid="a3">3</xref>
                </contrib>
                <aff id="a1">
                    <label>1</label>Shenzhen Samii Medical Center, Shenzhen, China</aff>
                <aff id="a2">
                    <label>2</label>Department of Pharmacology, Shenzhen University, Shenzhen, China</aff>
                <aff id="a3">
                    <label>3</label>School of Basic Medical Sciences, Guangzhou University of Chinese Medicine, Guangzhou, China</aff>
            </contrib-group>
            <author-notes>
                <corresp id="c1">
                    <label>a</label>
                    <email xlink:href="mailto:zhangfengxue@gzucm.edu.cn">zhangfengxue@gzucm.edu.cn</email>
                </corresp>
                <fn fn-type="conflict">
                    <p>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>22</day>
                <month>4</month>
                <year>2020</year>
            </pub-date>
            <pub-date pub-type="collection">
                <year>2020</year>
            </pub-date>
            <volume>9</volume>
            <elocation-id>190</elocation-id>
            <history>
                <date date-type="accepted">
                    <day>15</day>
                    <month>4</month>
                    <year>2020</year>
                </date>
            </history>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2020 Hu X et al.</copyright-statement>
                <copyright-year>2020</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <self-uri content-type="pdf" xlink:href="https://f1000research.com/articles/9-190/pdf"/>
            <abstract>
                <p>
                    <bold>Background:</bold> Previously, most studies focus on the wild animal  being sold in the Wuhan Huanan seafood wholesale market, neglecting that the livestock living around other place could also be the original hosts.</p>
                <p>
                    <bold>Methods:</bold> First, relative synonymous codon usage was utilized to analyze the potential hosts of SARS-CoV-2; Then cluster SARS-CoV-2 and related coronavirus through the phylogenetic tree. Next, we used Recombination Detection Program to identify the possible recombination region, as well as verifying via Simplot.</p>
                <p>
                    <bold>Results:</bold> Related coronavirus from porcine or murine sources may faciliatate the evolution and reorganization of SARS-CoV-2.</p>
                <p>
                    <bold>Conclusions:</bold> Overall, to our knowledge, this is the first paper to illustrate that swine and mice could be probable reservoirs for the SARS-CoV-2.</p>
            </abstract>
            <kwd-group kwd-group-type="author">
                <kwd>SARS-CoV-2</kwd>
                <kwd>Sus scrofa</kwd>
                <kwd>Mus musculus</kwd>
                <kwd>phylogenetic analysis</kwd>
                <kwd>homologous recombination analysis</kwd>
            </kwd-group>
            <funding-group>
                <award-group id="fund-1" xlink:href="http://dx.doi.org/10.13039/501100001809">
                    <funding-source>National Natural Science Foundation of China</funding-source>
                    <award-id>31670360</award-id>
                    <award-id>U1702286</award-id>
                </award-group>
                <funding-statement>This study was funded by National Natural Science Foundation of China (U1702286, 31670360).</funding-statement>
                <funding-statement>
                    <italic>The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</italic>
                </funding-statement>
            </funding-group>
        </article-meta>
        <notes>
            <sec sec-type="version-changes">
                <label>Revised</label>
                <title>Amendments from Version 1</title>
                <p>In order to&#x00a0;avoid the risk of stigmatization with SARS-CoV-2, we shall not use the geographical hot map to depict the distribution of PEDV in China.</p>
            </sec>
        </notes>
    </front>
    <body>
        <sec sec-type="intro">
            <title>Introduction</title>
            <p>A novel coronavirus, SARS-CoV-2, was recently reported in the city of Wuhan, Hubei province, China, causing severe respiratory diseases as well as epidemic all around the China. The inflection point of confirmed cases didn&#x2019;t occur until February 2020, with the first patient hospitalized on the 12
                <sup>th</sup> of December 2019
                <sup>
                    <xref ref-type="bibr" rid="ref-1">1</xref>
                </sup>. On 29
                <sup>th</sup> February, 573 new confirmed cases of novel coronavirus infection were reported on the Chinese mainland, bringing the total to 78,630. There were 35 new fatalities reported daily, with the cumulative fatalities were up to 2761. Meanwhile, outside the Chinese mainland, more than 5000 cases have been confirmed in Asia, in places such as Japan, Singapore, Thailand and South Korea, in Europe, in places like Germany and France, and in the Americas. Consensus that the SARS-CoV-2 originated from bats has been reached
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. However, intermediate hosts are deemed as having mediated human infection via gradually adapting the mechanism of transcription and translation in the human body.</p>
            <p>The exact putative parent of SARS-CoV-2 remains uncertain. Frequent contact between humans and swine could lead to a higher risk of cross-species transmission or virus recombination. For the sake of identifying intermediate host, relative synonymous codon usage (RSCU) analysis was applied to evaluate the potential diversity of species acting as reservoirs. Phylogenetic and homologous recombination analysis were also used to illuminate the correlated coronavirus hosting in the most possible host.</p>
        </sec>
        <sec sec-type="methods">
            <title>Methods</title>
            <sec>
                <title>Sequence data collection</title>
                <p>Porcine and murine coronavirus were refined and downloaded from NCBI virus database (Table S1, Extended data B)
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>. Here, the mitochondrial genes represent the whole genome of potential host (Table S2, Extended data B)
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>. 
                    <ext-link ext-link-type="uri" xlink:href="http://www.clustal.org/">ClustalX</ext-link> 1.83 was applied to align the sequences.</p>
            </sec>
            <sec>
                <title>Phylogenetic analysis</title>
                <p>
                    <ext-link ext-link-type="uri" xlink:href="https://www.megasoftware.net/">MEGA X</ext-link> (v1.0.3) was used to construct the phylogenetic trees using the Neighbor-Joining method
                    <sup>
                        <xref ref-type="bibr" rid="ref-4">4</xref>
                    </sup> (The input GenBank accessions are shown in Table S1,  Extended data B)
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>. The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (1000 replicates) is shown next to the branches
                    <sup>
                        <xref ref-type="bibr" rid="ref-5">5</xref>
                    </sup>. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. All genome sequences were aligned before implementing of phylogenetic analysis.</p>
            </sec>
            <sec>
                <title>Synonymous codon usage analysis</title>
                <p>In order to identify the relative synonymous codon usage (RSCU) bias of the SARS-CoV-2 and its potential host, the coding sequences of suspect species were calculated using 
                    <ext-link ext-link-type="uri" xlink:href="https://sourceforge.net/projects/codonw/files/codonw/Win32-Executables-1.4.2/">CodonW</ext-link> 1.4.2. (Table S4, Extended data C)
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>
                    </sup>. Whole coding sequences of the genomes, downloaded from NCBI, were utilized for identifying the host among different viruses
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup> (the input GenBank accessions are shown in Table S1, Extended data B)
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>. The RSCU were calculated with 
                    <ext-link ext-link-type="uri" xlink:href="https://sourceforge.net/projects/codonw/files/codonw/Win32-Executables-1.4.2/">CodonW</ext-link> 1.4.2. The heat map clustering of RSCU was realized via applying 
                    <ext-link ext-link-type="uri" xlink:href="https://sourceforge.net/projects/mev-tm4/files/mev-tm4/MeV%204.9.0/">MeV 4.9.0</ext-link>. The homologous analysis was executed via analyzing the pairwise distance of mitochondrial genes from the potential host animal. The pairwise distances were computed with MEGA X via the bootstrap test (1000 replicates) to evaluate potential hosts
                    <sup>
                        <xref ref-type="bibr" rid="ref-8">8</xref>
                    </sup>.</p>
            </sec>
            <sec>
                <title>Genome homologous recombination analysis
                    <sup>
                        <xref ref-type="bibr" rid="ref-1">1</xref>
                    </sup>
                </title>
                <p>The genome sequences of bat RaTG13 (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/MN996532.1/">MN996532.1</ext-link>), murine JHM (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/AC_000192.1">AC_000192.1</ext-link>), Human HKU1 (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/NC_006577.2">NC_006577.2</ext-link>), PEDV H11-SD2017 (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/MH708243.1">MH708243.1</ext-link>) and PEDV YN15 (
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/nuccore/KT021228.1">KT021228.1</ext-link>) were obtained from the 
                    <ext-link ext-link-type="uri" xlink:href="https://www.ncbi.nlm.nih.gov/labs/virus/vssi/#/">NCBI Virus database</ext-link>. Potential recombination events of SARS-CoV-2 were first implemented with 
                    <ext-link ext-link-type="uri" xlink:href="https://web.cbio.uct.ac.za/~darren/rdp.html">Recombination Detection Program</ext-link> v4 (RDP4), then 
                    <ext-link ext-link-type="uri" xlink:href="https://sray.med.som.jhmi.edu/SCRoftware/simplot/">Simplot</ext-link> (version 3.5.1) was utilized to verify the possible breakpoints. The BootScan method were taken into the RDP4 analysis. Potential recombination events were characterized with similarity plots, with possible regions of recombination indicated.</p>
            </sec>
        </sec>
        <sec sec-type="results">
            <title>Results</title>
            <sec>
                <title>The intermediate animal reservoirs of the SARS-CoV-2 point to swine and mice</title>
                <p>RSCU has been widely utilized to analyze the association between virus and potential host
                    <sup>
                        <xref ref-type="bibr" rid="ref-7">7</xref>
                    </sup>. The output from RSCU heat map, based on the Euclidean distance, inferred that both 
                    <italic toggle="yes">Sus scrofa</italic> and 
                    <italic toggle="yes">Mus musculus</italic> have similar synonymous codon usage bias with SARS-CoV-2 (
                    <xref ref-type="fig" rid="f1">Figure 1A</xref>). The Euclidean distance between 
                    <italic toggle="yes">Sus scrofa</italic> and SARS-CoV-2 is minimal, hinting that SARS-CoV-2 could effectively use porcine translation machinery better than that of other animals, suggesting that the epidemic SARS-CoV-2 might originate from swine. The pairwise distance between the SARS-CoV-2 complete genome and the potential host mitochondrial genome also supports the above judgments. Regarding the pairwise distances of SARS-CoV-2, both swine and mice presented shorter than snakes, marmots, mink, bats and humans and (
                    <xref ref-type="fig" rid="f1">Figure 1B</xref>). Pairwise distance between the SARS-CoV-2 and 
                    <italic toggle="yes">Sus scrofa</italic> is 14.89, and for SARS-CoV-2 and 
                    <italic toggle="yes">Mus musculus</italic> is 14.94. This result indicates that SARS-CoV-2 may originate from both swine and mice.</p>
                <fig fig-type="figure" id="f1" orientation="portrait" position="float">
                    <label>Figure 1. </label>
                    <caption>
                        <title>SARS-CoV-2 phylogeny analysis based on the codon usage.</title>
                        <p>(
                            <bold>A</bold>) Heat map of relative synonymous codon usage (RSCU) derived from the complete genome of SARS-CoV-2, as well as the mitochondrial genome of diverse animals (
                            <italic toggle="yes">Sus scrofa, Mus musculus</italic>, 
                            <italic toggle="yes">Najaatra</italic>, 
                            <italic toggle="yes">Mustela Pulourius</italic>, 
                            <italic toggle="yes">Marmota flaviventris</italic>, 
                            <italic toggle="yes">Rhinolophus sinicus</italic>, 
                            <italic toggle="yes">Homo sapiens</italic>). (
                            <bold>B</bold>) Homology analysis between the SARS-CoV-2 and different animal species (Table S4), Pairwise Distance was applied to evaluate the homology as compared with SARS-CoV-2 via MEGA-X.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/25827/73f78433-12f9-4c87-8d72-3a0f47771405_figure1.gif"/>
                </fig>
            </sec>
            <sec>
                <title>Phylogenetic analysis</title>
                <p>The 21 PEDV strains were filtered from 2010~2020 in Hubei based on the NCBI virus database (The GenBank accessions were shown in 
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). Phylogenetic analysis of the coronavirus (HKU15, PHEV, NL63, H11-SD2017, 229E, HKU2, TGEV, etc.) derived from varied species (bats, swine, humans), representing the sister lineage to SARS-CoV-2 with 99% bootstrap support (
                    <xref ref-type="fig" rid="f2">Figure 2</xref>). RSCU revealed that related coronaviruses have similar synonymous codon usage bias with SARS-CoV-2 (
                    <xref ref-type="fig" rid="f3">Figure 3</xref>). The other PEDV strains obtained from Hubei also showed the closely phylogenetic correlation with SARS-CoV-2. Overall, the close phylogenetic relationship to 
                    <italic toggle="yes">Sus scrofa</italic> provides evidence for bat-swine axis, being one of the origins of SARS-CoV-2.</p>
                <fig fig-type="figure" id="f2" orientation="portrait" position="float">
                    <label>Figure 2. </label>
                    <caption>
                        <title>Phylogenetic tree of SARS-CoV-2 and related coronavirus strains.</title>
                        <p>The neighbor-joining tree (bootstrap 
                            <italic toggle="yes">n</italic>=1,000; p-distance) was exerted to represent the evolutionary history of the taxa analyzed. Phylogeny-based geographical dissection of 21 PEDV strains (Brown box) derived from Hubei. Information about the 21 PEDV strains is shown in Table S1 Extended data B
                            <sup>
                                <xref ref-type="bibr" rid="ref-3">3</xref>
                            </sup>.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/25827/73f78433-12f9-4c87-8d72-3a0f47771405_figure2.gif"/>
                </fig>
                <fig fig-type="figure" id="f3" orientation="portrait" position="float">
                    <label>Figure 3. </label>
                    <caption>
                        <title>Relative synonymous codon usage (RSCU) analysis of SARS-CoV-2 and related coronavirus.</title>
                        <p>The heat map of RSCU derived from the complete genome of SARS-CoV-2 and other polyphyletic coronaviruses. The Euclidean distance was calculated to cluster the related coronavirus.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/25827/73f78433-12f9-4c87-8d72-3a0f47771405_figure3.gif"/>
                </fig>
                <p>Meanwhile, the result of RSCU also presented that both SARS-CoV-2 and related coronavirus lean towards to having similar synonymous codon usage bias (
                    <xref ref-type="fig" rid="f3">Figure 3</xref> and Table S5, Extended data C)
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>
                    </sup>. Therefore, the origination of SARS-CoV-2 could be further focus on the coronavirus isolating from swine and mice. Particularly, the relationship with PEDV H11-SD2017 and PEDV YN15 needed to be further studied.</p>
                <p>To our knowledge, this is the first study to report that porcine and murine coronavirus may attend the reorganization of SARS-CoV-2. The RDP4 estimated the possible reorganization regions for SARS-CoV-2 (
                    <xref ref-type="table" rid="T1">Table 1</xref>, 
                    <xref ref-type="fig" rid="f4">Figure 4A</xref>). Furthermore, SimPlot analysis confirmed the homologous recombination of sequence similarity between SARS-CoV-2 and coronavirus from potential hosts. The potential recombination breakpoints (16205-16358nt) are shown in red dashed lines (
                    <xref ref-type="fig" rid="f4">Figure 4B</xref>), indicating recombination between PEDV YN15 and the murine hepatitis virus JHM when SARS-CoV-2 was queried. In addition, the region between 20923 and 21181 nt also indicated a recombination event taking place between PEDV H11-SD2017 and Human coronavirus HKU1 when SARS-CoV-2 was queried (
                    <xref ref-type="fig" rid="f4">Figure 4C</xref>).</p>
                <table-wrap id="T1" orientation="portrait" position="anchor">
                    <label>Table 1. </label>
                    <caption>
                        <title>Recombinants detected with Recombinance Detection Program.</title>
                    </caption>
                    <table content-type="article-table" frame="hsides">
                        <thead>
                            <tr>
                                <th align="center" colspan="1" rowspan="1" valign="top">Reorganization
                                    <break/>sequence</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Major and minor
                                    <break/>parent sequence</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">P value</th>
                                <th align="center" colspan="1" rowspan="1" valign="top">Reorganization
                                    <break/>region (nt)</th>
                            </tr>
                        </thead>
                        <tbody>
                            <tr>
                                <td align="center" colspan="1" rowspan="2" valign="top">MN908947.3</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">KT021228.1&#x2014;AC000192</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">4.764&#x00d7;10
                                    <sup>-3</sup>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">16205&#x2013;16358</td>
                            </tr>
                            <tr>
                                <td align="center" colspan="1" rowspan="1" valign="top">MH708243.1&#x2014;NC006577.2</td>
                                <td align="center" colspan="1" rowspan="1" valign="top">2.579&#x00d7;10
                                    <sup>-2</sup>
                                </td>
                                <td align="center" colspan="1" rowspan="1" valign="top">20923&#x2013;21181</td>
                            </tr>
                        </tbody>
                    </table>
                    <table-wrap-foot>
                        <fn>
                            <p>MN908947.3: Wuhan_seafood_market_pneumonia_virus_isolate_Wuhan-Hu-1_complete_genome; KT021228.1: Porcine_epidemic_diarrhea_virus_strain_YN15_complete_genome; AC_000192.1: Murine_hepatitis_virus_strain_JHM_complete_genome; NC_006577.2: Human_coronavirus_HKU1_complete_genome; MH708243.1: Porcine_epidemic_diarrhea_virus_strain_H11-SD2017_complete_genome.</p>
                        </fn>
                    </table-wrap-foot>
                </table-wrap>
                <fig fig-type="figure" id="f4" orientation="portrait" position="float">
                    <label>Figure 4. </label>
                    <caption>
                        <title>Simplot analysis of varies coronavirus from potential host.</title>
                        <p>The similarities to different reference sequences are indicated by different colors shown in the legend box at the top. (
                            <bold>A</bold>) The sequence of SARS-CoV-2(query), Bat coronavirus RaTG13, Human coronavirus HKU1, Murine hepatitis virus JHM, PEDV YN15 and PEDV H11-SD2017 were assessed with similarity plot. (
                            <bold>B</bold>) The enlarged figure identifies the homologous recombination region (16205&#x2013;16358 nt) of PEDV YN15 and Murine hepatitis strain JHM. (
                            <bold>C</bold>) The enlarged figure identifies the homologous recombination region(20923&#x2013;21181nt) of PEDV H11-SD2017 and Human coronavirus HKU1.</p>
                    </caption>
                    <graphic orientation="portrait" position="float" xlink:href="https://f1000research-files.f1000.com/manuscripts/25827/73f78433-12f9-4c87-8d72-3a0f47771405_figure4.gif"/>
                </fig>
            </sec>
        </sec>
        <sec sec-type="discussion">
            <title>Discussion</title>
            <p>In China, the cumulative number of patients diagnosed as infected with SARS-CoV-2 is thought to over 100,000, with more than 2000 deaths. It is the most severe public health emergency since the outbreak of SARS 17 years ago
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. Local residents were reined with anxiety and confused during the virus outbreak, although the Chinese government has taken substantial action to prevent and control the spread of the virus. However, multiple different messages could disrupt the attention of medical workers and science researchers. Current research about the origin of SARS-CoV-2 mostly focuses on wildlife, since the first case was thought to be highly associated with wild animals in Wuhan sea food market.</p>
            <p>The origin of SARS-CoV-2 had caused great concern to the public. Natural variation was the dominant view holding by most scholars, believing that bats and other wild animals provide reservoirs for the virus. However, coronavirus from bats is unlikely to infect humans directly; one or two intermediate hosts may facilitate the homologous recombination, enabling the coronavirus to gradually adjust to the human genetic code, then survival and breeding successfully.</p>
            <p>From our perspective, natural variation would be a more reasonable explanation for the origin of SARS-CoV-2. However, the wild animals in Wuhan seafood market should not accept all the liability, since there is evidence that patients with early infection didn&#x2019;t have any contact with the market
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. Some researchers
                <sup>
                    <xref ref-type="bibr" rid="ref-10">10</xref>
                </sup> have also pointed out that the Wuhan seafood market is not the only area of origin, indicating that another creature may act as intermediate host apart from those animals being sold at the market. In our study, the captivity animal, 
                <italic toggle="yes">Sus scrofa</italic> (swine) and 
                <italic toggle="yes">Mus musculus</italic> (mice) were suspected to be critical hosts of SARS-CoV-2.</p>
            <p>Our finding supports the theory of natural variation. Natural variation believes that people get infected because they eat or come into contact with intermediate hosts. SARS-CoV-2 was found to be 96% identical at the whole-genome level to the bat coronavirus
                <sup>
                    <xref ref-type="bibr" rid="ref-2">2</xref>
                </sup>. Other reports state that snakes, mink, and pangolins could be potential hosts for SARS-CoV-2
                <sup>
                    <xref ref-type="bibr" rid="ref-11">11</xref>
                </sup>.</p>
            <p>Either wild animals or reared livestock could serve as hosts. It has been reported that Wuhan seafood market may not be the only source of novel virus spreading globally because the earliest patient became ill on 1 December 2019 and had no epidemiological link to the seafood market or later cases. The official details about the first 41 hospitalized patients showed 13 of the 41 patients had no link to the marketplace at all
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>. One possible hypothesis is that the cross-species transmission has occurred in other places before the outbreak of Wuhan Huanan Seafood market.</p>
            <p>Previous study into fatal swine acute diarrhea syndrome (SADS) revealed that SADS-related coronavirus was responsible for a large-scale outbreak of fatal disease in pigs in China
                <sup>
                    <xref ref-type="bibr" rid="ref-12">12</xref>
                </sup>. Here we discovered Porcine epidemic diarrhea virus (PEDV) periodicity burst in China
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. Among one of the strains, H11-SD2017 showed closely affiliation with SARS-CoV-2 via implementing relative synonymous codon usage (RSCU) and phylogenetic analysis. Swine-to-human cross species transmission may explain why many patients with coronavirus disease-19 (COVID-19) not only suffer from severe respiratory diseases, but also diarrhea
                <sup>
                    <xref ref-type="bibr" rid="ref-9">9</xref>
                </sup>.</p>
            <p>In the past 10 years, PEDV has spread into most provinces with the swine industry in China. Hubei was the first region to be infected with PEDV strain CH/HBQX/10 in 2010; from then on, more and more provinces reported the presence of PEDV
                <sup>
                    <xref ref-type="bibr" rid="ref-13">13</xref>
                </sup>. The spread of PEDV has gone beyond its initial geographical limitation. There were more than 300 PEDV strains clustered into pandemic, meaning the significant natural variation took place in the spread of PEDV in different regions. Further analysis among 21 strains of PEDV and coronavirus from varied species indicate that swine and mice could be other hosts of SARS-CoV-2 (
                <xref ref-type="fig" rid="f1">Figure 1A</xref>, 
                <xref ref-type="fig" rid="f2">Figure 2</xref> and 
                <xref ref-type="fig" rid="f3">Figure 3</xref>).</p>
            <p>RDP4 and Simplot analysis helped us better understand the homologous recombination of SARS-CoV-2 (
                <xref ref-type="table" rid="T1">Table 1</xref>, 
                <xref ref-type="fig" rid="f4">Figure 4</xref>). It verified that not only porcine coronavirus, but also murine coronavirus, experienced recombination events. Therefore, we speculate that SARS-CoV-2 may originate from the bat firstly, undergoing a series of recombination events, with swine and mice playing critical role in mediating cross species transmission.</p>
            <p>Pairwise analysis of distance also indicated that 
                <italic toggle="yes">Mus musculus</italic> could be a possible host of SARS-CoV-2 (
                <xref ref-type="fig" rid="f1">Figure 1B</xref>). Previously, the Chinese Centers for Disease Control said that 33 of the samples were positive for the novel coronavirus nucleic acid. The positive samples were distributed among 22 stalls and a garbage truck in the Wuhan Huanan seafood market, so the outbreak is highly suspected to be related to the wildlife trade. But how could wild animal movement around the market lead to cross-infection with disparate species in different regions? One plausible phenomenon is that mice could be infected with SARS-CoV-2 firstly, transferring the infection to other wild species in the market. Thus, the role of mice in the market deserves more attention. In order to verify the exact intermediate host, mice and swine living around Wuhan should be collected for further proof test basing on Koch&#x2019;s postulates</p>
            <p>Eventually, the rear livestock should be deserved more notice apart from wild vertebrate creatures. To our knowledge, this is the first study to illustrate that swine and mice are the probable livestock reservoir for the SARS-CoV-2. Furthermore, the mice around the seafood market may also be involved in the cross transmission of the virus to some extent. All of those output based on the bioinformatics analysis, further identification of host should be verified from isolation and other experiments.</p>
        </sec>
        <sec>
            <title>Data availability</title>
            <sec>
                <title>Source data</title>
                <p>The genomic data assessed in this study are described below in the 
                    <italic toggle="yes">Extended data</italic>.</p>
            </sec>
            <sec>
                <title>Extended data</title>
                <p>Figshare: Identification Sus scrofaand Mus musculus as potential parasitifersof SARS-CoV-2 via phylogenetic and homologous recombination analysis. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.11925588">https://doi.org/10.6084/m9.figshare.11925588</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-14">14</xref>
                    </sup>.</p>
                <p>This project contains Extended data A: PEDV distribution in China from 2010&#x2013;2020. (The 329 PEDV genomes assessed in this study.)</p>
                <p>Figshare: Identification Sus scrofaand Mus musculus as potential parasitifersof SARS-CoV-2 via phylogenetic and homologous recombination analysis. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.11925693">https://doi.org/10.6084/m9.figshare.11925693</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-3">3</xref>
                    </sup>.</p>
                <p>This project contains Extended data B: The GenBank accession numbers used for analysis. (Contains accession numbers, strain name and species used for phylogenetic analysis.)</p>
                <p>Figshare: Identification Sus scrofaand Mus musculus as potential parasitifersof SARS-CoV-2 via phylogenetic and homologous recombination analysis. 
                    <ext-link ext-link-type="uri" xlink:href="https://doi.org/10.6084/m9.figshare.11925654">https://doi.org/10.6084/m9.figshare.11925654</ext-link>
                    <sup>
                        <xref ref-type="bibr" rid="ref-6">6</xref>
                    </sup>.</p>
                <p>This project contains Extended data C: RSCU analysis of diverse genome. (Contains RSCU analysis of codons derived from SARS-CoV-2.)</p>
                <p>Data are available under the terms of the 
                    <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International license</ext-link> (CC-BY 4.0).</p>
            </sec>
        </sec>
    </body>
    <back>
        <ack>
            <title>Acknowledgements</title>
            <p>We are appreciated with the sharing of SARS-CoV-2 complete genome (GenBank accession MN908947) from Prof. Yongzhen Zhang research team, as well as the related genome GenBank accessions from other researchers.</p>
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    <sub-article article-type="reviewer-report" id="report290448">
        <front-stub>
            <article-id pub-id-type="doi">10.5256/f1000research.25827.r290448</article-id>
            <title-group>
                <article-title>Reviewer response for version 2</article-title>
            </title-group>
            <contrib-group>
                <contrib contrib-type="author">
                    <name>
                        <surname>Wolf</surname>
                        <given-names>Jonas</given-names>
                    </name>
                    <xref ref-type="aff" rid="r290448a1">1</xref>
                    <role>Referee</role>
                    <uri content-type="orcid">https://orcid.org/0000-0001-7577-464X</uri>
                </contrib>
                <aff id="r290448a1">
                    <label>1</label>Hospital Moinhos de Vento, Porto Alegre, State of Rio Grande do Sul, Brazil</aff>
            </contrib-group>
            <author-notes>
                <fn fn-type="conflict">
                    <p>
                        <bold>Competing interests: </bold>No competing interests were disclosed.</p>
                </fn>
            </author-notes>
            <pub-date pub-type="epub">
                <day>13</day>
                <month>6</month>
                <year>2024</year>
            </pub-date>
            <permissions>
                <copyright-statement>Copyright: &#x00a9; 2024 Wolf J</copyright-statement>
                <copyright-year>2024</copyright-year>
                <license xlink:href="https://creativecommons.org/licenses/by/4.0/">
                    <license-p>This is an open access peer review report distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.</license-p>
                </license>
            </permissions>
            <related-article ext-link-type="doi" id="relatedArticleReport290448" related-article-type="peer-reviewed-article" xlink:href="10.12688/f1000research.22627.2"/>
            <custom-meta-group>
                <custom-meta>
                    <meta-name>recommendation</meta-name>
                    <meta-value>approve-with-reservations</meta-value>
                </custom-meta>
            </custom-meta-group>
        </front-stub>
        <body>
            <p>The study titled "Identification 
                <italic>Sus scrofa</italic> and 
                <italic>Mus musculus</italic> as potential hosts of SARS-CoV-2 via phylogenetic and homologous recombination analysis" explores a novel perspective on the origins and potential hosts of the SARS-CoV-2 virus. Traditionally, investigations into the origin of SARS-CoV-2 have centered on wildlife in the Wuhan Huanan seafood market. However, this study shifts focus to domestic animals, specifically 
                <italic>Sus scrofa</italic> (pigs) and 
                <italic>Mus musculus</italic> (house mice), providing a fresh and potentially crucial viewpoint on the epidemiological landscape of SARS-CoV-2.</p>
            <p> </p>
            <p> Positive Aspects</p>
            <p> Novel Perspective: The study takes a commendably innovative approach by considering livestock as potential hosts of SARS-CoV-2, which broadens the scope of research beyond the commonly suspected wildlife. This helps in potentially identifying new pathways for zoonotic transmission which might have been overlooked.</p>
            <p> </p>
            <p> Methodological Rigor: The use of relative synonymous codon usage (RSCU) to assess potential hosts demonstrates a thorough and sophisticated understanding of viral evolution. The combination of phylogenetic analysis and recombination detection adds robustness to the findings, providing a comprehensive view of the virus's potential to adapt to different hosts.</p>
            <p> </p>
            <p> Use of Phylogenetic and Recombination Analysis: By clustering SARS-CoV-2 with related coronaviruses and analyzing recombination events, the study offers valuable insights into the evolutionary pathways of the virus. This approach can reveal not only possible host species but also evolutionary mechanisms that might facilitate cross-species transmission.</p>
            <p> </p>
            <p> Potential Public Health Impact: Identifying domestic animals as potential reservoirs of SARS-CoV-2 could have significant implications for public health policies. It underscores the need for broader surveillance and biosecurity measures that encompass not only wildlife but also domestic and peridomestic animals.</p>
            <p> </p>
            <p> Pioneering Findings: The conclusion that swine and mice could be probable reservoirs for SARS-CoV-2 is groundbreaking. It opens up new avenues for research and underscores the importance of considering a wider range of species in the study of zoonotic diseases.</p>
            <p> </p>
            <p> Opportunities for Improvement</p>
            <p> Scope of Host Analysis: While the study focuses on 
                <italic>Sus scrofa</italic> and 
                <italic>Mus musculus</italic>, it might have benefitted from a broader examination of other potential domestic animal hosts. Including additional species could provide a more comprehensive understanding of the potential host range of SARS-CoV-2.</p>
            <p> </p>
            <p> Verification of Host Susceptibility: The study&#x2019;s conclusions are primarily based on genetic and phylogenetic analyses. Empirical validation through laboratory infection studies or epidemiological evidence would strengthen the claim that these animals can indeed act as reservoirs for the virus.</p>
            <p> </p>
            <p> Detailed Analysis of Recombination Events: The paper mentions the identification of recombination regions but lacks an in-depth discussion of these events and their potential implications. A more detailed analysis of how these recombination events might influence viral transmission and pathogenicity in different hosts would add significant value.</p>
            <p> </p>
            <p> Contextualizing Findings within Existing Literature: While the study introduces a new perspective, it could benefit from a more thorough comparison with existing research on SARS-CoV-2 hosts. This would help in situating the findings within the broader context of current scientific understanding and highlight how this study advances the field.</p>
            <p> </p>
            <p> Exploration of Ecological and Environmental Factors: The study could also delve deeper into the ecological and environmental factors that might facilitate the interaction between these domestic animals and humans. Understanding these dynamics is crucial for assessing the real-world risk of zoonotic spillover.</p>
            <p> </p>
            <p> Clearer Explanation of RSCU: While the use of RSCU is a strong point, the paper would benefit from a more detailed explanation of how this method works and why it is particularly suitable for identifying potential viral hosts. This would make the findings more accessible to a broader audience.</p>
            <p> </p>
            <p> Discussion of Limitations: The study would benefit from a more explicit discussion of its limitations. For example, it could address the constraints of phylogenetic analysis in predicting host range and the limitations of computational methods in the absence of empirical data.</p>
            <p> </p>
            <p> Conclusion</p>
            <p> Overall, the article "Identification 
                <italic>Sus scrofa</italic> and 
                <italic>Mus musculus</italic> as potential hosts of SARS-CoV-2 via phylogenetic and homologous recombination analysis" represents a significant contribution to the field of virology and zoonotic disease research. By expanding the focus to include domestic animals, it opens new avenues for understanding the origins and spread of SARS-CoV-2. However, the study would benefit from broader host analysis, empirical validation, and a deeper contextualization of its findings. Despite these areas for improvement, the paper provides a valuable foundation for future research and underscores the complexity of viral host dynamics.</p>
            <p>Is the work clearly and accurately presented and does it cite the current literature?</p>
            <p>Yes</p>
            <p>If applicable, is the statistical analysis and its interpretation appropriate?</p>
            <p>Partly</p>
            <p>Are all the source data underlying the results available to ensure full reproducibility?</p>
            <p>Yes</p>
            <p>Is the study design appropriate and is the work technically sound?</p>
            <p>Yes</p>
            <p>Are the conclusions drawn adequately supported by the results?</p>
            <p>Yes</p>
            <p>Are sufficient details of methods and analysis provided to allow replication by others?</p>
            <p>Partly</p>
            <p>Reviewer Expertise:</p>
            <p>Biostatistics, virology, bioinformatics, biochemistry, immunology, molecular evolution.</p>
            <p>I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.</p>
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