<!DOCTYPE article PUBLIC "-//NLM//DTD JATS (Z39.96) Journal Archiving and Interchange DTD v1.0 20120330//EN" "JATS-archivearticle1.dtd">
<article xmlns:xlink="http://www.w3.org/1999/xlink">
  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>OGG-CoV: Ontology Representation and Analysis of Genes and Genomes of Coronaviruses</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Anthony Huffman</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yongqun He</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>University of Michigan Medical School Ann Arbor</institution>
          ,
          <addr-line>MI 48109</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The current SARS-CoV-2 pandemic has brought about significant influx of coronavirus data for better disease understanding and treatment and vaccine development. As such, ontologies to help categorize the massive amount of research and information being done are required. The Ontology of Genes and Genomes (OGG) systematically represents genes and genomes for specific organisms. OGGCoV is a branch of OGG that provides an ontological representation of genes and genomes within different coronavirus strains and species. OGG-CoV adopts a pangenome strategy and systematically represents coronavirus genes based on their ortholog classification.</p>
      </abstract>
      <kwd-group>
        <kwd />
        <kwd>Ontology</kwd>
        <kwd>Coronavirus</kwd>
        <kwd>Genes</kwd>
        <kwd>Genomes</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Coronaviruses are a subfamily of RNA viruses, some of which are responsible for
various human respiratory illnesses [
        <xref ref-type="bibr" rid="ref1">1</xref>
        ]. The latest, SARS-COV-2, has caused the
COVID-19 pandemic that, as of 08/17/2020, has reached over 21,707,773 confirmed
cases in 188 countries and has prompted a massive expansion of genomic sequencing to
support a better understanding of the disease and rational development of effective and
safe treatments and cures (https://coronavirus.jhu.edu/us-map). The NIH already has
16,084 sequences uploaded for this virus and there are 23,295 articles on PubMed written
within the last eight months, demonstrating the need to categorize the massive data influx.
      </p>
      <p>
        Coronavirus genes are generally divided into structural proteins and accessory
proteins. The structural proteins are responsible for the formation of the virion and its
transmission and have well-characterized functions and roles [
        <xref ref-type="bibr" rid="ref2">2</xref>
        ]. Accessory proteins
form parts of the virion and vary more often between species, with some being linked as
contributing to the coronavirus pathology [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. RNA viruses are highly mutable, with
SARS-CoV-2 having mutation rates of ~30% within some of their genes [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ].
      </p>
      <p>
        Ontologies are a tool used to classify and systematize the information of entities and
relations to aid further research and inquiry. The Ontology of Genes and Genomes
(OGG) is an ontology developed to classify the genes and genomes of organisms, with
sub-ontologies developed for specific model species [
        <xref ref-type="bibr" rid="ref5">5</xref>
        ]. The Coronavirus Infectious
Disease Ontology (CIDO) (https://github.com/CIDO-ontology/) is a community-based
ontology in the domain of coronavirus diseases, which covers various topics such as virus
etiology, hosts, host-virus interactions, drugs and vaccines [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]
      </p>
      <p>In this study, we present OGG-CoV, an extension of the OGG core with a focus on
logically modeling and representing genes and genomes in various coronaviruses.
OGGCoV has then been imported into the CIDO to support integrative representation and
analysis of coronavirus genes and their usages in different applications.
2.
2.1.</p>
    </sec>
    <sec id="sec-2">
      <title>Methods</title>
      <sec id="sec-2-1">
        <title>Coronavirus gene and genome information extraction</title>
        <p>The genes and genetic sequences were all collected and extracted from NCBI. Sections
of polyprotein genes that produce functional gene products were assigned from UniProt’s
InterPro.
2.2.</p>
      </sec>
      <sec id="sec-2-2">
        <title>OGG-CoV development</title>
        <p>
          OGG-CoV was developed by aligning it with OGG and CIDO [
          <xref ref-type="bibr" rid="ref7">7</xref>
          ]. Orthologs between
coronaviruses were determined using the NCBI gene annotation and literature annotation
for genes with known protein products. Genes that do not have labeled orthologs were
classified using nucleotide alignments from MUSCLE
(https://www.ebi.ac.uk/Tools/msa/) and ViPR BLAST
(https://www.viprbrc.org/brc/home.spg?decorator=vipr). If both programs predicted a different set of orthologs or
there was no match, the gene was placed within its own class. The basic OGG terms and
structure were obtained using Ontofox [
          <xref ref-type="bibr" rid="ref6">6</xref>
          ]. Extracted genome and gene data were
uploaded using Ontorat into version 5.5 of Protégé-OWL editor
(https://protege.stanford.edu/) for editing.
2.3.
        </p>
      </sec>
      <sec id="sec-2-3">
        <title>OGG-CoV source code</title>
        <p>The source code of OGG-CoV is available at GitHub:
https://github.com/CIDOontology/OGG-CoV. The source code uses the license CC-BY.
3.
3.1.</p>
        <p>Results</p>
      </sec>
      <sec id="sec-2-4">
        <title>High level ontology design</title>
        <p>genes (e.g., orf1ab gene of SARS-CoV-2 Wuhan strain) under the gene of its own strain
(e.g., gene of SARS-CoV-2 Wuhan strain) and meanwhile under its evolution-derived
ortholog hierarchy (e.g., coronavirus S gene). This design asserts S gene of
SARS-CoV2 Wuhan strain under two parent classes. However, this design allows us to compare
different genes within an ortholog.</p>
      </sec>
      <sec id="sec-2-5">
        <title>3.2. Specific OGG-CoV development</title>
        <p>In our current OGG-CoV development, we included 13 strains from 8 different species.
SARS-CoV-2 Wuhan strain, the first sequenced SARS-CoV-2 strain, has 10 genes. As
seen in Figure 2, the coronavirus genes are classified based on their taxonomic
classification and orthology gene type. For example, the S gene of SARS-CoV-2 Wuhan
strain can be classified as a gene under different strains (e.g., Wuhan strain) (Figure 2a)
or as a gene under an ortholog S gene type (Figure 2b).</p>
        <p>The orf1ab gene is made up of two different genes, orf1a and orf1b. Orf1a gene
encodes a single polypeptide which produces 11 specific nonstructural proteins (nsps)
Orf1b produces a polypeptide that which produces all but the last nsp produced by orf1a
in addition to 5 unique nsps responsible for viral replication. This is due to a frame shift
caused by ribosomal slippage during translation of orf1a. Together they code for the
coronavirus replicase polyprotein. Each nsp-encoding portion of this replicase gene is
represented in ontology as a part of the polygene sequence which encodes a specific nsp
protein.
4.</p>
        <p>
          OGG-CoV Use case: Creation of a Coronavirus Pan-genome
Pan-genome is defined as the entire set of genes for all strains within a clade (i.e., a group
of organisms evolved from a common ancestor) [
          <xref ref-type="bibr" rid="ref9">9</xref>
          ]. While originally restricted to
bacteria, this can be expanded to other organisms, including viruses. A pan-genome
typically includes a set of core genes that are present in all strains with the clade and
accessory genes that are present in some but not all strains. Our OGG-CoV is designed
to represent the genes in all the coronavirus clade based on the ortholog analysis, which
allows pan-genome representation.
        </p>
        <p>The selected coronaviruses genomes had a consistent pattern of the orf1ab gene, and
the S (spike), E (envelope), M (membrane), and N (nucleocapsid) structure genes
occurring in this specific order from the 5’ to 3’ direction. The one exception, AIBV
NCBI reference genome, did not have a gene labeled as an M protein but did have an
unlabeled gene between the E and N proteins. The orf1ab always demonstrated a -1
frameshift which coded for a single polypeptide that is cleaved to create 13-16 total
nonstructural proteins, depending on the species. This seems to indicate that the
coronavirus pan-genome has these structural proteins has its core genes.</p>
        <p>The accessory genome of coronaviruses contains some structures genes that are part
of the core genome for certain coronavirus sub-clades and the various accessory genes.
We found that the structural gene HE (hemagglutinin-esterase) was found to be part of
the core genome subgenus Embecovirus but not present in other coronavirus species. The
various accessory genes differed in quantity between each species and were labeled by
their ordinal location within the genome from the 5’ to 3’ direction. This nomenclature,
while allowing for quick comparison of the number of accessory genes between
coronaviruses, is insufficient to match accessory proteins within the ontology without
supporting evidence from sequence alignment.</p>
        <p>Interestingly, we found the name of the orf10 gene only in SARS-CoV-2 strains but
not in other branches of coronaviruses. However, a unique name does not guarantee its
unique presence among all coronavirus genes. To address this issue, we performed a
MUSCLE analysis, and found that orf10 had no significant alignment with any other
coronavirus proteins, suggesting that orf10 is uniquely present in SARS-CoV-2. We will
later include more genomes from different coronavirus strains to confirm the unique
presence of this gene in SARS-CoV-2. If the conclusion is true, orf10 likely plays an
important role in making SARS-CoV-2 unique in terms of the viral pathogenesis and/or
transmission.</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Discussion and Conclusion</title>
      <p>OGG-CoV is developed to serves as a knowledge base of coronavirus genes and genomes.
Instead of presenting genes and genomes in a single species as done in previous OGG
branches, OGG-CoV adopts a pan-genome strategy to systematically represent
coronavirus genes not only in terms of its genomes, but also based on their ortholog
classification. The ortholog classification method will then allow us to easily define the
core and accessory genes of the pan-genome of all coronaviruses. Our use case
demonstrates that many structure genes belong to the core genes. However, some genes
such as the orf10 gene is unique is only SARS-CoV-2 strain.</p>
      <p>Future work will include its integration with the other parts of CIDO and allow the
other entities (e.g., vaccine and drug target) defined in CIDO to possibly link to the genes
and genomes in OGG-CoV. We will also expand OGG-CoV to possibly identify and
represent gene mutations that occur naturally in various coronaviruses, allowing for
mechanistic analysis of host-virus interactions and fight against COVID-19 pandemic.</p>
    </sec>
    <sec id="sec-4">
      <title>Acknowledgments References</title>
      <p>Edison Ong and Lauren Austin for their aid and commentary. This was funded by the
ImmPort project (NIH NIAID grant 1UH2AI132931).</p>
    </sec>
  </body>
  <back>
    <ref-list>
      <ref id="ref1">
        <mixed-citation>
          [1]
          <string-name>
            <surname>Cui</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Li</surname>
            <given-names>F</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shi</surname>
            <given-names>ZL</given-names>
          </string-name>
          .
          <article-title>Origin and evolution of pathogenic coronaviruses</article-title>
          .
          <source>Nat Rev Microbiol</source>
          . 2019 Mar;
          <volume>17</volume>
          (
          <issue>3</issue>
          ):
          <fpage>181</fpage>
          -
          <lpage>192</lpage>
          . doi:
          <volume>10</volume>
          .1038/s41579-018-0118-
          <fpage>9</fpage>
          . PMID: 30531947; PMCID:
          <fpage>PMC7097006</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref2">
        <mixed-citation>
          [2]
          <string-name>
            <surname>Fehr</surname>
            <given-names>AR</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Perlman</surname>
            <given-names>S.</given-names>
          </string-name>
          <article-title>Coronaviruses: an overview of their replication and pathogenesis</article-title>
          .
          <source>Methods Mol Biol</source>
          .
          <year>2015</year>
          ;
          <volume>1282</volume>
          :
          <fpage>1</fpage>
          -
          <lpage>23</lpage>
          . doi:
          <volume>10</volume>
          .1007/978-1-
          <fpage>4939</fpage>
          -2438-
          <issue>7</issue>
          _
          <fpage>1</fpage>
          . PMID: 25720466; PMCID:
          <fpage>PMC4369385</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref3">
        <mixed-citation>
          [3]
          <string-name>
            <surname>Yue</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Nabar</surname>
            <given-names>NR</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Shi</surname>
            <given-names>CS</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kamenyeva</surname>
            <given-names>O</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Xiao</surname>
            <given-names>X</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hwang</surname>
            <given-names>IY</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wang</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Kehrl</surname>
            <given-names>JH</given-names>
          </string-name>
          .
          <article-title>SARS-Coronavirus Open Reading Frame-3a drives multimodal necrotic cell death</article-title>
          .
          <source>Cell Death Dis. 2018 Sep</source>
          <volume>5</volume>
          ;
          <issue>9</issue>
          (
          <issue>9</issue>
          ):
          <fpage>904</fpage>
          . doi:
          <volume>10</volume>
          .1038/s41419-018-0917-y. PMID: 30185776; PMCID:
          <fpage>PMC6125346</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref4">
        <mixed-citation>
          [4]
          <string-name>
            <surname>Pachetti</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Marini</surname>
            <given-names>B</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Benedetti</surname>
            <given-names>F</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Giudici</surname>
            <given-names>F</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Mauro</surname>
            <given-names>E</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Storici</surname>
            <given-names>P</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Masciovecchio</surname>
            <given-names>C</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Angeletti</surname>
            <given-names>S</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ciccozzi</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Gallo</surname>
            <given-names>RC</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zella</surname>
            <given-names>D</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ippodrino R. Emerging</surname>
          </string-name>
          SARS-CoV-
          <article-title>2 mutation hot spots include a novel RNA-dependent-RNA polymerase variant</article-title>
          .
          <source>J Transl Med</source>
          .
          <source>2020 Apr</source>
          <volume>22</volume>
          ;
          <issue>18</issue>
          (
          <issue>1</issue>
          ):
          <fpage>179</fpage>
          . doi:
          <volume>10</volume>
          .1186/s12967-020-02344-
          <fpage>6</fpage>
          . PMID: 32321524; PMCID:
          <fpage>PMC7174922</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref5">
        <mixed-citation>
          [5]
          <string-name>
            <surname>He</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liu</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zhao</surname>
            <given-names>B.</given-names>
          </string-name>
          (
          <year>2014</year>
          )
          <article-title>OGG: a Biological Ontology for Representing Genes and Genomes in Specific Organisms</article-title>
          . In:
          <string-name>
            <surname>Hogan</surname>
            <given-names>WR</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Arabandi</surname>
            <given-names>S</given-names>
          </string-name>
          , Brochhausen, M, editor.
          <source>Proceedings of the 5th International conference on Biomedical Ontologies; October 8-9</source>
          <year>2014</year>
          ; Houston, TX.
          <source>Published on CEUR-WS;</source>
          c2014 p.
          <fpage>13</fpage>
          -
          <lpage>20</lpage>
        </mixed-citation>
      </ref>
      <ref id="ref6">
        <mixed-citation>
          [6]
          <string-name>
            <surname>He</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yu</surname>
            <given-names>H</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ong</surname>
            <given-names>E</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Wang</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Liu</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Huffman</surname>
            <given-names>A</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Huang</surname>
            <given-names>HH</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Beverley</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Hur</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Yang</surname>
            <given-names>X</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Chen</surname>
            <given-names>L</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Omenn</surname>
            <given-names>GS</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Athey</surname>
            <given-names>B</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Smith</surname>
            <given-names>B. CIDO,</given-names>
          </string-name>
          <article-title>a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis</article-title>
          .
          <source>Sci Data</source>
          .
          <source>2020 Jun</source>
          <volume>12</volume>
          ;
          <issue>7</issue>
          (
          <issue>1</issue>
          ):
          <fpage>181</fpage>
          . doi:
          <volume>10</volume>
          .1038/s41597-020- 0523-
          <fpage>6</fpage>
          . PMID: 32533075; PMCID:
          <fpage>PMC7293349</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref7">
        <mixed-citation>
          [7]
          <string-name>
            <surname>Xiang</surname>
            <given-names>Z</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Courtot</surname>
            <given-names>M</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Brinkman</surname>
            <given-names>RR</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Ruttenberg</surname>
            <given-names>A</given-names>
          </string-name>
          ,
          <string-name>
            <surname>He</surname>
            <given-names>Y.</given-names>
          </string-name>
          <article-title>OntoFox: web-based support for ontology reuse</article-title>
          .
          <source>BMC Res Notes. 2010 Jun</source>
          <volume>22</volume>
          ;3:
          <fpage>175</fpage>
          . doi:
          <volume>10</volume>
          .1186/
          <fpage>1756</fpage>
          -0500-3-
          <lpage>175</lpage>
          . PMID: 20569493; PMCID:
          <fpage>PMC2911465</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref8">
        <mixed-citation>
          [8]
          <string-name>
            <surname>Xiang</surname>
            <given-names>Z</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Zheng</surname>
            <given-names>J</given-names>
          </string-name>
          ,
          <string-name>
            <surname>Lin</surname>
            <given-names>Y</given-names>
          </string-name>
          ,
          <string-name>
            <surname>He</surname>
            <given-names>Y.</given-names>
          </string-name>
          <string-name>
            <surname>Ontorat</surname>
          </string-name>
          <article-title>: automatic generation of new ontology terms, annotations, and axioms based on ontology design patterns</article-title>
          .
          <source>J Biomed Semantics. 2015 Jan</source>
          <volume>9</volume>
          ;
          <issue>6</issue>
          :4. doi:
          <volume>10</volume>
          .1186/2041- 1480-6
          <article-title>-4</article-title>
          . PMID: 25785185; PMCID:
          <fpage>PMC4362828</fpage>
          .
        </mixed-citation>
      </ref>
      <ref id="ref9">
        <mixed-citation>
          [9]
          <string-name>
            <given-names>Computational</given-names>
            <surname>Pan-Genomics Consortium</surname>
          </string-name>
          .
          <article-title>Computational pan-genomics: status, promises and challenges</article-title>
          .
          <source>Brief Bioinform</source>
          .
          <source>2018 Jan</source>
          <volume>1</volume>
          ;
          <issue>19</issue>
          (
          <issue>1</issue>
          ):
          <fpage>118</fpage>
          -
          <lpage>135</lpage>
          . doi:
          <volume>10</volume>
          .1093/bib/bbw089. PMID: 27769991; PMCID:
          <fpage>PMC5862344</fpage>
          .
        </mixed-citation>
      </ref>
    </ref-list>
  </back>
</article>