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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Coordinating Coronavirus Research: The Virus Infectious Disease Ontology</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>John Beverley</string-name>
          <email>johnbeverley2021@u.northwestern.edu</email>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Shane Babcock</string-name>
          <email>babcock8@buffalo.edu</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Barry Smith</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Yongqun He</string-name>
          <email>yongqunh@med.umich.edu</email>
          <xref ref-type="aff" rid="aff5">5</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Eric Merrell</string-name>
          <xref ref-type="aff" rid="aff2">2</xref>
          <xref ref-type="aff" rid="aff3">3</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Lindsay Cowell</string-name>
          <email>Lindsay.Cowell@utsouthwestern.edu</email>
          <xref ref-type="aff" rid="aff6">6</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Regina Hurley</string-name>
          <email>ReginaHurley2023@u.northwestern.edu</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Sebastian Deusing</string-name>
          <xref ref-type="aff" rid="aff4">4</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Department of Philosophy, Niagara University</institution>
          ,
          <addr-line>Lewiston, NY</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Department of Philosophy, Northwestern University</institution>
          ,
          <addr-line>Evanston, IL</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff2">
          <label>2</label>
          <institution>Department of Philosophy, University at Buffalo</institution>
          ,
          <addr-line>Buffalo, NY</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff3">
          <label>3</label>
          <institution>Johns Hopkins University Applied Physics Laboratory</institution>
          ,
          <addr-line>Laurel, MD</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff4">
          <label>4</label>
          <institution>Loyola University</institution>
          ,
          <addr-line>Chicago, Il</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff5">
          <label>5</label>
          <institution>University of Michigan Medical School</institution>
          ,
          <addr-line>Ann Arbor, MI</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
        <aff id="aff6">
          <label>6</label>
          <institution>University of Texas Southwestern Medical School</institution>
          ,
          <addr-line>Dallas TX</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <abstract>
        <p>The COVID-19 pandemic prompted immense work on the investigation of the SARS-CoV-2 virus. Ontologies structured, controlled, vocabularies - are designed to support consistency of interpretation, and thereby to prevent the development of data silos. This paper describes how ontologies are serving this purpose in the virus research domain, following the principles of the Open Biological and Biomedical Ontology (OBO) Foundry and drawing on the resources of the Infectious Disease Ontology (IDO) Core. We report the development of the Virus Infectious Disease Ontology (VIDO), a reference ontology extending IDO Core covering viral infectious diseases. We examine newly minted terms, showcase ontology term reuse, and illustrate the use of VIDO by annotating selections from recent life science research on SAR-CoV-2, in the interest of supporting machine learning projects.</p>
      </abstract>
      <kwd-group>
        <kwd>eol&gt;Virus</kwd>
        <kwd>SARS-CoV-2</kwd>
        <kwd>coronavirus</kwd>
        <kwd>COVID-19</kwd>
        <kwd>applied ontology</kwd>
        <kwd>infectious disease ontology</kwd>
        <kwd>CIDO</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        1. Introduction entities and relations across disciplines using
consensus terminologies – constitute a well-known
The volume of data collected by life-science solution to the formation of data silos. The need for
researchers, the speed at which it is generated, rapid analysis of evolving datasets representing
range of its sources, quality, accuracy, and need for coronavirus research motivated the development of
assessment of usefulness, results in complex, the Virus Infectious Disease Ontology (VIDO)
multidimensional datasets [
        <xref ref-type="bibr" rid="ref1 ref2">1,2</xref>
        ], often annotated comprised of textual definitions for terms and
using discipline- or institution-specific relations and logical axioms supporting automated
terminologies and coding systems that lead to data consistency checking, querying over datasets, and
silos. These undermine interoperability, meta-data interoperability with other ontologies. VIDO is an
analysis, pattern identification, and discovery across extension of the widely used Infectious Disease
disciplines [
        <xref ref-type="bibr" rid="ref3">3</xref>
        ]. The value of cross-discipline meta- Ontology Core (IDO Core) [
        <xref ref-type="bibr" rid="ref7">7</xref>
        ], comprised of
data analysis is evident during the present pandemic terminological content common to all investigations
[
        <xref ref-type="bibr" rid="ref4 ref5">4,5</xref>
        ]. of infectious disease. VIDO extends IDO with
terms specific to the domain of infectious diseases
Ontologies – interoperable, logically well-defined,
caused by viruses and provides a foundation for
controlled vocabularies representing common
ontologies representing specific viral infectious
diseases such as the Coronavirus Infectious Disease
Ontology (CIDO), which is itself an extension of
VIDO covering coronavirus infectious diseases
such as COVID-19. The most recent version of
VIDO can be found at the National Center for
Biomedical Ontology Bioportal [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ].
      </p>
      <p>
        VIDO was developed in collaboration with relevant
domain experts and drawing on the expertise of the
IDO developers to ensure alignment with OBO
Foundry principles [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ], supporting interoperability
with Foundry ontologies [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ]. Development of
VIDO is transparent, with discussions available on
GitHub [
        <xref ref-type="bibr" rid="ref11">11</xref>
        ]. VIDO term additions are driven by the
needs of researchers investigating viruses and
nearby domains, and so remains sensitive to
evolving knowledge.
      </p>
    </sec>
    <sec id="sec-2">
      <title>2. Methods</title>
      <sec id="sec-2-1">
        <title>Biomedical and Biological Ontologies (OBO)</title>
        <p>
          Foundry was created to provide guidance for
ontology developers and promote alignment and
interoperability. OBO Foundry design principles
require ontologies: use a well-specified syntax
unambiguous with a common space of identifiers,
be openly available in the public domain, be
modularly developed with a specified scope in a
collaboration with ontologists covering nearby
domains and conform to a common top-level
architecture. The OBO library consists of over 250
ontologies, including some externally developed
ontologies such as the NCI Thesaurus [
          <xref ref-type="bibr" rid="ref18">18</xref>
          ] and the
NCBI Taxonomy [
          <xref ref-type="bibr" rid="ref19">19</xref>
          ], and some constructed ab
initio to satisfy OBO principles. At its core is Basic
Formal Ontology (BFO), a top-level ontology
covering general classes such as material entity,
quality, process, and role [
          <xref ref-type="bibr" rid="ref20 ref21 ref22">20,21,22</xref>
          ], which
provides the architecture referred to in the last
Foundry principle. BFO is, moreover, an ISO/IEC
approved standard 21838-2 [
          <xref ref-type="bibr" rid="ref23">23</xref>
          ].
        </p>
      </sec>
      <sec id="sec-2-2">
        <title>VIDO and is formally represented in OWL 2 Web</title>
        <p>
          Ontology Language. VIDO was developed using
the Protégé-OWL editor and tested against
automated reasoners such as HermiT and Pellet
[
          <xref ref-type="bibr" rid="ref12 ref13">12,13</xref>
          ]. Axioms underwriting VIDO were
translated into a decidable fragment of first-order
logic readable by the Mace4 [
          <xref ref-type="bibr" rid="ref14">14</xref>
          ] model checker,
which allowed for manual graphical inspection of
classes of models constrained by the asserted
axioms. An automated proof-checker Prover9
bundled with Mace4 was used to validate expected
theorems while refining axiom models.
        </p>
        <p>
          Where BFO is domain-neutral, OBO Foundry
ontologies represent types of entities in more
specific domains, using terms such as disease, cell
division, surgical procedure, and so forth. Each
domain ontology is constructed using a
methodology for formulating definitions through a
process of downward population from BFO. The
resulting alignment with BFO, and the conformance
to OBO Foundry principles, fosters integration
across ontologies. VIDO was designed with
2.1 OBO Foundry Alignment alignment and conformance in mind. Development
followed metadata conventions adopted by many
Ontologies are widely used in bioinformatics, OBO Foundry ontologies. These conventions
supporting data standardization, integration, require that every term introduced into the ontology
sharing, reproducibility, and automated reasoning. has a unique IRI, textual definitions, definition
The Gene Ontology (GO), for example, maintains source, designation of term editor(s), and preferred
species-neutral annotations of gene products and term label. In the interest of coordinating
functions, and – since its inception in 1998 – has development with existing OBO ontologies, VIDO
inspired an explosion of biomedical ontologies developers imported terms where possible from
covering all domains of the life sciences [
          <xref ref-type="bibr" rid="ref15 ref16 ref17">15,16,17</xref>
          ]. OBO library ontologies and constructed logical
These early developments led to worries, however, definitions using imported terms. Development was
that data silos – the very problem ontologies were guided by best practices for definition construction
designed to address – might reemerge as [
          <xref ref-type="bibr" rid="ref24">24</xref>
          ]. New terms were introduced when needed,
researchers developed ontologies using concepts after consultation with domain experts, relevant
local to their discipline. By 2007, the Open literature, and examination of the OBO library.
disorder =def Material entity that is a clinically
abnormal part of an extended organism.
        </p>
        <p>A part of a material entity is “clinically abnormal”
if it is not expected in the life plan for entities of the
relevant type and is causally linked to elevated risk
– that is, risk exceeding some threshold – of illness,
death, or disfunction [32]. Organism is imported
from OBI:
organism =def Object that is an individual living
system, such as animal, plant, bacteria, or virus,
that is capable of replicating or reproducing,
growth and maintenance in the right environment.</p>
        <p>An organism may be unicellular or made up, like
humans, of many billions of cells divided into
specialized tissues and organs.</p>
      </sec>
      <sec id="sec-2-3">
        <title>VIDO follows the “hub and spokes” methodology</title>
        <p>[25] for ontology development. VIDO is a spoke
ontology, extending from the Infectious Disease
Ontology Core (IDO Core) as its hub. IDO Core is
an OBO ontology consisting of terms, relations,
natural language definitions and associated logical
axioms representing phenomena common across
infectious diseases research [26]. IDO Core has
long provided a base from which more specific
infectious disease ontologies extend and has been
recently updated to keep pace with scientific and
top-level architecture changes [27]. Extensions of
IDO Core covering specific infectious diseases are
created, first, by importing needed terms from IDO
Core and other OBO Foundry ontologies, and
second, by constructing the domain-specific terms Here we run into the first of several ontological
where needed to adequately characterize entities in puzzles that emerged while developing VIDO. On
the relevant domain. Examples include the the one hand, this definition aligns with common
Brucellosis Infectious Disease Ontology (IDOBRU) use of the term “organism” among researchers
the Influenza Infectious Disease Ontology insofar as instances are cellular entities [33,34]. On
(IDOFLU), and more recently the Coronavirus the other hand, the textual definition includes
Infectious Disease Ontology (CIDO), each viruses among instances, which are in every case
semantically interoperable with other OBO library acellular. Debates [35] among ontology developers
ontologies [28,29,30]. over organism have resulted in deprecation of the
OBI term in favor of a term from the Common
VIDO was designed to occupy the ontological Anatomy Reference Ontology [36]: organism or
space between such virus-specific ontologies and virus or viroid. This avoids the preceding worries
IDO Core. As a result, more specific virus-related but reveals two more. First, introducing disjunctive
ontologies such as CIDO and IDOFLU are being classes suggests closure over instances. We should,
curated to extend directly from VIDO, rather than however, avoid suggesting that classes – especially
IDO Core. in biological domains – are settled results of
scientific discoveries. Second, this disjunctive class
3. Results leads naturally to debates over whether viruses are
VIDO takes IDO Core as its starting point, but also alive, since it classifies viruses alongside
imports terms relevant to the domain of viruses paradigmatic living entities. Decades of discussion
from other OBO Foundry ontologies, such as GO, have not resolved this question [37,38,39], and it is
the Ontology for General Medical Science (OGMS) not obvious we need an answer for the purposes of
and the Ontology for Biomedical Investigation ontological modelling. Rather than introduce an ad
(OBI) [31]. hoc disjunctive class, IDO Core and VIDO
developers collaborated to add the following
disjoint sibling class of organism to IDO Core:</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>3.1 Virus</title>
      <sec id="sec-3-1">
        <title>Like IDO Core, VIDO imports from OGMS:</title>
        <p>acellular structure =def Object consisting of an
arrangement of interrelated acellular parts
forming an acellular biological unit that is able to exhaustive classes based on genetic structure. For
initiate replication of the structure in a host. example, a subclass of virus:</p>
      </sec>
      <sec id="sec-3-2">
        <title>Imported to VIDO as the parent class of the term</title>
        <p>virus. The term virus is imported from the
NCBITaxon [40], alongside other terms
representing entities investigated by virologists,
such as prion, viroid, and satellite.
positive-sense single-stranded RNA virus =def
Virus with genetic material encoded in
singlestranded RNA that can be translated directly into
proteins.</p>
      </sec>
      <sec id="sec-3-3">
        <title>Which provides the parent class for:</title>
      </sec>
      <sec id="sec-3-4">
        <title>The NCBITaxon provides an exhaustive list of life</title>
        <p>science terms but has its limitations. First, with coronavirus =def Positive-sense single-stranded
respect to virus terms NCBITaxon appears to align RNA virus with a helically symmetrical
with the International Committee on Taxonomy of nucleocapsid, lipid bilayer viral envelope, and
Viruses (ICTV). The ICTV, however, lacks surface spike peplomers.
systematic classification criteria and consequently Figure 1 illustrates how the Baltimore
leaves several viruses unclassified [41,42]. Second, Classification appears in the Protégé visualization
when NCBITaxon is combined with automated of the class positive-sense single-stranded RNA
importing tools such as Ontofox [43], ontology virus, supplemented by a textbook image of the
developers (for example, the developers of the seven viral replication pathways underwritten by
Schistosomiasis Ontology [27]) sometimes import virus genetic differences.
entire ICTV hierarchies –from kingdom to species –
resulting in large, unwieldy, taxonomies obscuring
classes of interest. Third, NCBITaxon provides few
textual definitions for terms. To align with OBO
Foundry metadata conventions and best practices,
definitions are needed for virus and its subclasses.</p>
        <p>Standard definitions of “virus” provide a starting
point, but caution is needed. Viruses are often
described as obligate pathogens [44,45], since virus Figure 1: Baltimore Classification in Protégé Editor
replication requires host machinery for production
and assembly of viral components. However,
defining a class virus solely in terms of what
viruses typically do runs the risk of overlooking
what viruses are, materially speaking. Compare:
Homo sapiens are obligate aerobes, but this is no
definition of the class. Insofar as we are defining
the material entity virus, better to attend to genetic
and structural components common to all viruses,
and best to define the material entity in a way that
captures obligate pathogenicity. VIDO defines:</p>
      </sec>
      <sec id="sec-3-5">
        <title>By incorporating the Baltimore Classification,</title>
        <p>VIDO provides developers of more specific virus
classes within a succinct, navigable, ontological
structure which refers to viral replication pathways,
and so to virus pathogenicity.</p>
        <p>VIDO subclasses of virus include those common in
virology research, such as bacteriophage – viruses
that infect bacteria – virophage – viruses that infect
viruses – oncovirus – viruses that cause cancer –
and mycovirus – viruses that infect fungi. One
subclass of virus imported from NCBITaxon is the
VIDO term:
virus =def Acellular structure with RNA or DNA
genetic material which uses host metabolic
resources for RNA or DNA replication.</p>
      </sec>
      <sec id="sec-3-6">
        <title>Subclasses of virus in VIDO are imported from NCBITaxon in alignment with the Baltimore Classification [46], which groups viruses into seven</title>
        <p>virion =def Virus that is in its assembled state
consisting of genomic material (DNA or RNA)
surrounded by coating molecules.</p>
        <p>
          Some researchers use “virion” and “virus”
synonymously [47]. Some define “virion” so that
instances only exist outside host cells [
          <xref ref-type="bibr" rid="ref25">48</xref>
          ] or
distinguish virions outside host cells from those
inside host cells, calling the former “mature
virions.” Some claim “virion” is best understood as
analogous to a sperm cell [
          <xref ref-type="bibr" rid="ref26 ref27">49,50</xref>
          ]. Ontologically
speaking, one might model the relationship between
a virus and its virion in a variety of ways: virion is
to a virus as human infant is to human, or as human
student is to human, or as human gamete is to
human. Treating virions as akin to gametes is
uncommon among researchers. Between the
remaining options, we adopt the first, treating virion
as a type of virus, since adopting the alternative
would suggest a virion is just a virus in a specific
context, with a specific role.
        </p>
        <p>
          Some viruses do not replicate faithfully, perhaps
resulting in genetically distinct mutants or – in
extreme cases – an inactive aggregate of virion
components. Virus mutations may undermine host
immune system recognition of viral threats, as
evidenced by the difficulty in developing vaccines
for certain influenza strains. Too many mutations,
however, and a virus may lose its ability to
replicate, an observation used in development of
treatments for polio and hepatitis C which
exacerbate respective virus mutations [
          <xref ref-type="bibr" rid="ref28 ref29">51,52</xref>
          ].
VIDO provides the term:
disordered virus =def Acellular structure having
some clinically abnormal arrangement of viral
components (e.g. viral capsid, viral DNA/RNA)
Viruses falling in this class may be associated with
diseases much different from those of the clinically
normal variety. Terms for viral components are
imported to VIDO. From GO, VIDO imports viral
nucleocapsid, viral capsid, capsomere, from the
Chemical Entities of Biological Interest (ChEBI)
ontology [
          <xref ref-type="bibr" rid="ref30">53</xref>
          ] the terms nucleic acid and ribonucleic
acid, and from the Protein Ontology [
          <xref ref-type="bibr" rid="ref31">54</xref>
          ] the terms
protein and viral protein are imported.
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>3.2 Infectious Structure</title>
      <p>
        The term “pathogen” is indexed to species or to
stages in the developmental cycle of a species. A
given virus may engage in mutual symbiosis with
one species, while exhibiting pathogenic behavior
towards others [
        <xref ref-type="bibr" rid="ref32 ref33">55,56</xref>
        ]. Mature plants are often
susceptible to different pathogens than developing
plants [
        <xref ref-type="bibr" rid="ref34 ref35">57,58</xref>
        ]. We capture virus pathogenicity in
VIDO in steps. From IDO Core, we import
dispositions borne by pathogens and infectious
agents, as follows:
pathogenic disposition =def Disposition borne by a
material entity to establish localization in or
produce toxins that can be transmitted to an
organism or acellular structure, either of which
may form disorder in the entity or
immunocompetent members of the entity’s
species.
infectious disposition =def Pathogenic disposition
borne by a pathogen to be transmitted to a host
and then become part of an infection in that host
or immunocompetent members of the same
species as the host.
      </p>
      <p>The class infectious agent in IDO Core is a subclass
of organism, and so cannot include instances of
virus. To address this issue, the term infectious
structure was developed to parallel the IDO Core
term infectious agent and is a logically defined
subclass of acellular structure. The term infectious
disposition bridges infectious acellular structures
and infectious organisms since instances of each
bear an infectious disposition. Moreover, the logical
definitions of infectious structure and infectious
agent are such that, though the former is a defined
subclass of acellular structure and the latter a
subclass of organism, they are both inferred
subclasses of pathogen.</p>
      <p>
        Establishment of localization used in pathogenic
disposition is characterized using the GO term
establishment of localization in host representing
tethering or adhesion to a host, while “formation of
disorder” abbreviates two imported IDO Core
terms: appearance of disorder, which is a process
that results in formation of a disorder. The
definition of pathogenic disposition is meant to
reflect a temporal ordering between establishment counts as a human infant pathogen. Nevertheless,
of localization and appearance of disorder. This is because C. botulinum is not itself disposed to
reflected explicitly in the logical axioms associated invade or be transmitted to human infants, we do
with the class. Similarly, in the definition of not say the bacterium is infectious [62]. Being part
infectious disposition there is an intended temporal of an infection is not itself sufficient to be counted
ordering between transmission to a host – as infectious. Pathogens bearing an infectious
represented by pathogen transmission process disposition must be disposed to both transmit and
imported from the Pathogen Transmission Ontology become part of an infection. Many opportunistic
[
        <xref ref-type="bibr" rid="ref36">59</xref>
        ] – and becoming part of an infection – pathogens are not infectious.
represented by the IDO Core process of establishing
an infection. A pathogen bearing an infectious
disposition that generates disorder in a host will
have been transmitted to the host prior to
establishing localization in the host and will have
established an infection prior to the appearance of
disorder.
      </p>
      <p>
        The complexity of the definitions of pathogenic
disposition and infectious disposition reflect the
variety of pathogen examples in contemporary
literature. Consider S. aureus, an opportunistic
pathogen [
        <xref ref-type="bibr" rid="ref37">60</xref>
        ] in humans. We count S. aureus as a
pathogen, even when it does not realize disorder in
a host, since it is nevertheless disposed to localize
in a human host and generate disorder if given the
opportunity. This is a disposition of S. aureus in
BFO terms because it is an “internally-grounded”
property of the entity [61]. That is, it is part of the
material basis of S. aureus to generate disorder in
human hosts if given the chance. This is analogous
to the way salt has a disposition to dissolve, based
on its lattice structure, independently of whether it
ever realizes this disposition. Opportunistic
pathogens are not pathogens because of an
opportunity; they are pathogens because they are
disposed to localize and cause disorder in a host.
      </p>
      <p>Consider now, C. botulinum, a pathogen which
produces toxin spores sometimes ingested by
humans. This bacterium is a pathogen for adult
humans since the toxins often result in disorder
when ingested. Furthermore, C. botulinum may
cause infection in human infants if, say honey
colonized by C. botulinum is ingested. The sugar
content of honey inhibits C. botulinum growth, but
in the low-oxygen, low-acid intestines of human
infants, spores can localize, grow, and produce
toxins resulting in disorder. Thus, C. botulinum
The immunocompetence and species membership
clauses in the respective definitions of infectious
disposition and pathogenic disposition are included
in IDO Core to address instances where mutations
in hosts may block realization of disorder or
infection. In such cases, an infectious pathogen may
nevertheless be transmissible and cause disorder or
infection in others. For example, HIV-1 is a
pathogen that may localize in a host with CCR-5
mutations [63] that block the virus from attaching to
host cells, and so block pathogenesis to AIDS.</p>
      <p>Similarly, P. falciparum may be transmitted to a
host with a sickle-cell trait that blocks manifestation
of the disease malaria [64,65]. However, P.
falciparum and HIV-1 count as pathogens even if
they do not result in the formation of disorders for
hosts with a sickle-cell trait or CCR-5 mutation,
respectively. Each pathogen may be transmitted to
immunocompetent members of the same species as
the host, and so counts as bearing instances of
infectious disposition and pathogenic disposition.</p>
      <p>Note, that P. falciparum and HIV-1 do not result in
the formation of disorders in hosts with sickle-cell
traits or CCR-5 mutations should not suggest there
are no clinical abnormalities associated with these
traits or mutations. Individuals with, say, CCR-5
mutations may exhibit clinical abnormalities [66],
and so do exhibit disorders. But these disorders are
due to the CCR-5 mutation rather than the HIV-1
infection.
3.3 Host</p>
      <sec id="sec-4-1">
        <title>IDO Core and VIDO prioritize neither host nor</title>
        <p>pathogen in representation of pathogens and
associated diseases, adopting the Damage Response
Framework (DRF) for guidance in development of
relevant terms [67,68]. According to the DRF,
pathogenesis results from interactions between both circle to the term disorder introduced above, since
host and pathogen interacting primarily through clinical abnormality is associated with disorder.
host damage, which is a function of the intensity When that disorder stems from infection it counts as
and degree of host response and pathogen factors. an:
Host and pathogen interactions thus influence
manifestations of signs, symptoms, and disease.</p>
        <p>IDO Core defines terms reflecting the DRF:
host role=def Role borne by an acellular structure
containing a distinct material entity, or organism
whose extended organism contains a distinct
material entity, realized in use of that structure or
organism as a site of reproduction or replication.
pathogen host role =def Host role borne by an
organism having a pathogen as part of its
extended organism.</p>
      </sec>
      <sec id="sec-4-2">
        <title>Symptomatic cases of virus infection can be</title>
        <p>represented by importing terms from the Symptom
Ontology, such as dry cough, fever, taste alteration,
smell alteration, among others [69]. Given the
importance of asymptomatic carriers in viral
infection spread, moreover, attention is also given
to:
symptomatic carrier role =def Pathogen host role
borne by an organism whose extended organism
contains a pathogen bearing an infectious
disposition towards the host, and the host has
manifested symptoms of the infectious disease
caused by the pathogen.
asymptomatic carrier role =def Pathogen host role
borne by an organism whose extended organism
contains a pathogen bearing an infectious
disposition towards the host, and the host has no
symptoms of the infectious disease caused by the
pathogen.
subclinical infection =def Infection that is part of
an asymptomatic carrier.</p>
        <p>The term subclinical infection reflects standard – if
somewhat obscure – use of the terms “subclinical”
and “asymptomatic” while allowing for cases of
clinically abnormal infections without symptoms.
VIDO defines subclinical virus infection as an
infection caused by some virus part of an
asymptomatic carrier. These remarks bring us full
infectious disorder =def Disorder that is part of an
extended organism which has an infectious
pathogen part, that exists as a result of a process
of formation of disorder initiated by the infectious
pathogen.</p>
      </sec>
      <sec id="sec-4-3">
        <title>And when the adverted pathogen is a virus, it falls in the VIDO class:</title>
        <p>virus disorder =def Infectious disorder that exists
as a result of a process of formation of disorder
initiated by a virus.</p>
        <p>Medical researchers draw a distinction between
symptoms and signs, which OBO Foundry
ontologies respect (from OGMS):
symptom =def Process experienced by the patient
which can only be experienced by the patient, that
is hypothesized to be clinically relevant.
qualitative sign =def Abnormal observable quality
of a part of a patient that is hypothesized to be
clinically relevant.
processual sign =def Abnormal processual entity
occurring in a patient that is hypothesized to be
clinically relevant.</p>
        <p>An asymptomatic carrier infected with
SARS-CoV2 likely exhibits signs indicating that the infection is
clinically abnormal, such as ground-glass opacities
or positive PCR test results. Such asymptomatic
carriers exhibit an instance of the VIDO class virus
disorder which is the material basis of a viral
disease:
infectious disease =def Disease whose physical
basis is an infectious disorder.
viral disease =def Infectious disease inhering in a
virus disorder that is a disorder due to the
presence of the virus.</p>
      </sec>
      <sec id="sec-4-4">
        <title>This result aligns with the CDC’s case criteria</title>
        <p>adopted on April 5, 2020 which indicate that the
presence of the SARS-CoV-2 genome or relevant
antigens in an individual is sufficient to count as a
case of COVID-19, asymptomatic or not [70,71].</p>
      </sec>
    </sec>
    <sec id="sec-5">
      <title>3.4 Viral Pathogenesis</title>
      <p>Accurately representing viral pathogenesis is of
great importance, in particular, as researchers are
still working to understand how SARS-CoV-2
infections cause such a wide range of signs and
symptoms across demographics. Representing
disease pathogenesis is aided by importing terms
from relevant OBO Foundry ontologies, to define:
viral pathogenesis =def Pathogenesis process
realization of an infectious disposition inhering in a
virus or virus population, having at least the proper
process parts:
(1) pathogen transmission,
(2) establishment of localization in host,
(3) process of establishing an infection, and
(4) appearance of a virus disorder.</p>
      <p>Where pathogenesis is imported from GO:
pathogenesis =def Process that generates the ability
of a pathogen to induce disorder in an organism.
needed to characterize transporters are imported
from IDO Core:
pathogen transporter role =def Role borne by a
material entity in or on which a pathogen is
located, from which the pathogen may be
transmitted to a new host.</p>
      <sec id="sec-5-1">
        <title>A subclass – fomite role, roughly, a pathogen transporter role borne by non-living entities – plays an important function in virus transmission.</title>
      </sec>
      <sec id="sec-5-2">
        <title>Viral pathogenesis involves replication in a host. The term virus replication is defined in VIDO as a subclass of the IDO Core term replication, specifically:</title>
        <p>virus replication =def Replication process in which
a virus containing some portion of genetic
material inherited from a parent virus is
replicated.</p>
        <p>Instances of virus pathogenesis have virus
replication parts. Viral replication typically occurs
within an:
incubation process =def Process beginning with the
establishing of an infection in a host and ending
with the onset of symptoms by the host during
which pathogens are multiplying in the host.</p>
        <p>As defined, pathogenesis is a success term, in that it
encompasses formation of disorder in an entity.</p>
        <p>This is reflected in (1)-(4) of the viral pathogenesis Which occupies an incubation interval and may
definition and motivated by the GO Consortium precede a communicability interval. The
focus on canonical biological processes [72]. This is corresponding process during which viral hosts bear
not to say all virus infections result in successful a contagiousness disposition has proper part some
pathogenesis. An individual may be infected by a latency process which itself has an eclipse process
virus without a relevant disorder. Absent the part:
disorder, there is no material basis for the
associated disease. Consequently, this would not
count as an instance of viral pathogenesis.
communicability interval =def One-dimensional
temporal region during which a pathogen host
bears a contagiousness disposition.</p>
        <p>Viral pathogenesis involves transmission of virions.</p>
        <p>
          From PTRANS [
          <xref ref-type="bibr" rid="ref36">59</xref>
          ] is imported:
pathogen transmission process =def Process during
which a pathogen is transmitted directly or
indirectly to a new host.
        </p>
        <p>
          Role terms – reflecting “externally-grounded”
realizable entities acquired based on circumstance,
such as the role a student takes on in university –
latency process =def Process beginning with the
establishing of an infection in a host and ending
when the host becomes contagious, during which
pathogens are multiplying in the host.
eclipse process =def Process beginning with the
establishment of a virus in a host and ending with
the first appearance of a virion following viral
release, during which an infecting virus is vaccines. Several members of both the IDO Core
uncoating to begin genome replication. and the VIDO development teams are members of
the CIDO development team working to ensure
The last being specific to viruses, so specific to alignment among these ontologies. Terms reflecting
VIDO. The remaining terms are found in IDO Core. common features of coronaviruses can be imported
Viral dormancy is a virus-specific term from VIDO
occurring over a:
from OBO ontologies to characterize features of
coronaviruses, such as the viral genome including a
five-prime nucleotide cap, or the common
glycoprotein spikes found in the viral envelope
[76,77]. Some terms are specializations of terms
from the Protein Ontology [
          <xref ref-type="bibr" rid="ref31">54</xref>
          ], including
membrane protein (SARS-CoV-2) and spike
glycoprotein (SARS-CoV-2). Worth noting is that
while CIDO is not the only ontology developed to
support curation of COVID-19 data [78,79,80,81],
most alternatives are stand-alone initiatives, and so
subject to the silo problems typically found in
ontologies developed outside the scope of the OBO
Foundry and with no attention to its principles.
        </p>
      </sec>
    </sec>
    <sec id="sec-6">
      <title>3.6 Annotations</title>
      <p>The extent of coverage in VIDO and related
ontologies can be illustrated by annotation of
coronavirus research articles.
viral dormancy interval =def One-dimensional
temporal region on which a virus is no longer
replicating but remains within a host cell and
which may be reactivated to begin replication
again.</p>
      <sec id="sec-6-1">
        <title>With participants found from familiar viruses such as varicella zoster and herpes simplex.</title>
      </sec>
      <sec id="sec-6-2">
        <title>Generative stage is imported from IDO Core,</title>
        <p>defined as a temporal subdivision of a
developmental process, as well as:
virus generative stage =def Infectious structure
generative stage that is a temporal subdivision of
a virus developmental process.</p>
        <p>Subclasses of which include the stages through
which viruses may proceed during replication:
virus attachment stage =def Virus generative stage
during which a virion protein binds to molecules
on the host surface or host cell surface projection.
virus penetration stage =def Virus generative stage
during which a virion or viral nucleic acid
breaches the barriers of a host.</p>
      </sec>
    </sec>
    <sec id="sec-7">
      <title>3.5 Bridge to CIDO</title>
      <p>
        VIDO serves as a bridge between IDO Core and the
IDO extension ontologies representing specific viral Consider the following overview of SARS-CoV-2
diseases. An extension of importance during the pathogenesis (color coded as in Figure 5):
pandemic is the recently developed Coronavirus
Infectious Disease Ontology (CIDO). CIDO FCoolVlo-w2icnogrroenpalvicirautisovni,rcioelnlslycsaiussoefs ShAosRt Sc-ells
provides semantic resources needed for to release molecules which function to warn
representing coronavirus genome, surveillance, nearby cells. When recognized by epithelial
vaccine, and host data. The ontology has been used cells, endothelial, and alveolar macrophages,
to annotate data pertaining to 136 known anti- proteins such as IL-6, IP-10, and MCPI, are
coronavirus drugs [73], to identify 110 candidate released which attract T cells, macrophages,
drugs for potential COVID-19 drug repurposing and monocytes to the site of infection,
[74,75], and to provide input to machine learning promoting inflammation. In disordered
efforts [
        <xref ref-type="bibr" rid="ref4">4</xref>
        ] in identifying potential COVID-19 immune systems, immune cells accumulate
in the lungs, then propagate to and damage
other organs. In normal immune systems,
inflammation attracts T cells which
neutralize the virus at the site of infection.
      </p>
      <p>Antibodies circulate, preventing
SARS-CoV2 infection, and alveolar macrophages
recognize SARS-CoV-2 and eliminate virions
via phagocytosis [82].</p>
      <p>In more a more ontologically oriented language, we
speak of the relevant part of a host’s immune
response as being disposed to manifest a response
that eliminates SARS-CoV-2 infection, while
SARS-CoV-2 has a disposition to block
manifestation of this immune system response.</p>
      <p>Consider next a color-coded selection from the
Lancet [83] concerning SARS-CoV-2:
“The viral loads in throat swabs and sputum
samples peaked at around 5-6 days after
symptom onset, ranging from around 10^4 to
10^7 copies per mL during this time.”
challenges, however. Often, terms were developed
then presented to domain specialists for vetting,
after which they were refined through discussion.</p>
      <p>As in the case of all scientific ontologies,
refinement will continue as research advances, and
further collaborators are welcome and necessary.</p>
      <p>The existence of IDO Core extensions covering
infectious disease-causing entities other than
viruses suggests a need for the creation of reference
ontology extensions of IDO covering bacteria,
fungi, and parasites. The methodology illustrated in
the development of VIDO provides a recipe for
such reference ontology creation. Additionally, the
methodology illustrated in the development of
coronavirus-specific terms outlined above provides
a recipe for the creation of novel virus-specific
ontologies, namely, by extending them from
existing virus ontologies such as CIDO where
possible. Adoption of these methodologies by
developers during ontology construction will
significantly reduce the labor involved in ontology
creation.
viral load =def Quality inhering in a portion of
fluid that is the proportion of virions to volume of
that portion of fluid.</p>
      <p>SARS-CoV-2 infected hosts contain the highest
concentration of SARS-CoV-2 virions – the viral
load – during the incubation interval [84]. Viral VIDO represents a substantial effort to characterize
load is a common measurement of the proportion of viruses in a collaborative, computationally tractable
virions to fluid, and for SARS-CoV-2 is frequently manner. Ontologies like these are crucial in the
measured from host sputum. VIDO also provides contemporary Big Data era and will provide
resources for annotating virus quantification: researchers needed resources for gathering and
coordinating increasingly important life science
data.</p>
    </sec>
    <sec id="sec-8">
      <title>5. Acknowledgments</title>
      <p>Our color-coding of this passage models term reuse JB, SB supported by NIH/NLM T15LM012495-01
across existing ontologies. For example, developers Buffalo Research Innovation in Genomic and
can use VIDO terms alongside terms from the Healthcare Technology (BRIGHT) Education
Common Core Ontology [85] such as is measured Training Programs, 2020-2021. BS’s contributions
by, measurement information content entity, has were supported by the NIH under NCATS
integer value, uses measurement unit, and milliliter 1UL1TR001412 (Buffalo Clinical and Translational
measurement unit. Other virus quantification metric Research Center). VIDO is available under the
terms, such as multiplicity of viral infection - the Creative Commons Attribution 4.0 license and an
ratio of virions to susceptible cells in a target area – up-to-date version of the ontology.
can be found in VIDO as well.</p>
    </sec>
    <sec id="sec-9">
      <title>4. Discussion</title>
      <sec id="sec-9-1">
        <title>VIDO enables extensive representation of virusrelated research. The very scope of VIDO provides</title>
      </sec>
      <sec id="sec-9-2">
        <title>Many thanks to Asiyah Yu Lin for assistance in VIDO development; to Darren Natale for helpful critical feedback on an earlier draft. Figures were designed by or in consultation with Rain Yuan.</title>
      </sec>
    </sec>
    <sec id="sec-10">
      <title>6. References</title>
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tool for the unification of biology. The Gene Heel of Current Strategies to Control
CovidOntology Consortium. Nat Genet. 2000; 19. The New England journal of medicine,
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