Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses
Identifieur interne : 001901 ( Pmc/Corpus ); précédent : 001900; suivant : 001902Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses
Auteurs : Shuo Su ; Gary Wong ; Weifeng Shi ; Jun Liu ; Alexander C. K. Lai ; Jiyong Zhou ; Wenjun Liu ; Yuhai Bi ; George F. GaoSource :
- Trends in Microbiology [ 0966-842X ] ; 2016.
Abstract
Human coronaviruses (HCoVs) were first described in the 1960s for patients with the common cold. Since then, more HCoVs have been discovered, including those that cause severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), two pathogens that, upon infection, can cause fatal respiratory disease in humans. It was recently discovered that dromedary camels in Saudi Arabia harbor three different HCoV species, including a dominant MERS HCoV lineage that was responsible for the outbreaks in the Middle East and South Korea during 2015. In this review we aim to compare and contrast the different HCoVs with regard to epidemiology and pathogenesis, in addition to the virus evolution and recombination events which have, on occasion, resulted in outbreaks amongst humans.
Url:
DOI: 10.1016/j.tim.2016.03.003
PubMed: 27012512
PubMed Central: 7125511
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses</title><author><name sortKey="Su, Shuo" sort="Su, Shuo" uniqKey="Su S" first="Shuo" last="Su">Shuo Su</name><affiliation><nlm:aff id="aff0005">Engineering Laboratory of Animal Immunity of Jiangsu Province, Institute of immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China</nlm:aff></affiliation></author><author><name sortKey="Wong, Gary" sort="Wong, Gary" uniqKey="Wong G" first="Gary" last="Wong">Gary Wong</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Shi, Weifeng" sort="Shi, Weifeng" uniqKey="Shi W" first="Weifeng" last="Shi">Weifeng Shi</name><affiliation><nlm:aff id="aff0025">Institute of Pathogen Biology, Taishan Medical College, Taian, China</nlm:aff></affiliation></author><author><name sortKey="Liu, Jun" sort="Liu, Jun" uniqKey="Liu J" first="Jun" last="Liu">Jun Liu</name><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0030">National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Lai, Alexander C K" sort="Lai, Alexander C K" uniqKey="Lai A" first="Alexander C. K." last="Lai">Alexander C. K. Lai</name><affiliation><nlm:aff id="aff0035">Kentucky State University, Frankfort, Kentucky, USA</nlm:aff></affiliation></author><author><name sortKey="Zhou, Jiyong" sort="Zhou, Jiyong" uniqKey="Zhou J" first="Jiyong" last="Zhou">Jiyong Zhou</name><affiliation><nlm:aff id="aff0005">Engineering Laboratory of Animal Immunity of Jiangsu Province, Institute of immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China</nlm:aff></affiliation></author><author><name sortKey="Liu, Wenjun" sort="Liu, Wenjun" uniqKey="Liu W" first="Wenjun" last="Liu">Wenjun Liu</name><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Bi, Yuhai" sort="Bi, Yuhai" uniqKey="Bi Y" first="Yuhai" last="Bi">Yuhai Bi</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Gao, George F" sort="Gao, George F" uniqKey="Gao G" first="George F." last="Gao">George F. Gao</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0030">National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0040">Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang University, Hangzhou, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0045">University of Chinese Academy of Sciences Medical School, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">27012512</idno><idno type="pmc">7125511</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7125511</idno><idno type="RBID">PMC:7125511</idno><idno type="doi">10.1016/j.tim.2016.03.003</idno><date when="2016">2016</date><idno type="wicri:Area/Pmc/Corpus">001901</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">001901</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses</title><author><name sortKey="Su, Shuo" sort="Su, Shuo" uniqKey="Su S" first="Shuo" last="Su">Shuo Su</name><affiliation><nlm:aff id="aff0005">Engineering Laboratory of Animal Immunity of Jiangsu Province, Institute of immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China</nlm:aff></affiliation></author><author><name sortKey="Wong, Gary" sort="Wong, Gary" uniqKey="Wong G" first="Gary" last="Wong">Gary Wong</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Shi, Weifeng" sort="Shi, Weifeng" uniqKey="Shi W" first="Weifeng" last="Shi">Weifeng Shi</name><affiliation><nlm:aff id="aff0025">Institute of Pathogen Biology, Taishan Medical College, Taian, China</nlm:aff></affiliation></author><author><name sortKey="Liu, Jun" sort="Liu, Jun" uniqKey="Liu J" first="Jun" last="Liu">Jun Liu</name><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0030">National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Lai, Alexander C K" sort="Lai, Alexander C K" uniqKey="Lai A" first="Alexander C. K." last="Lai">Alexander C. K. Lai</name><affiliation><nlm:aff id="aff0035">Kentucky State University, Frankfort, Kentucky, USA</nlm:aff></affiliation></author><author><name sortKey="Zhou, Jiyong" sort="Zhou, Jiyong" uniqKey="Zhou J" first="Jiyong" last="Zhou">Jiyong Zhou</name><affiliation><nlm:aff id="aff0005">Engineering Laboratory of Animal Immunity of Jiangsu Province, Institute of immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China</nlm:aff></affiliation></author><author><name sortKey="Liu, Wenjun" sort="Liu, Wenjun" uniqKey="Liu W" first="Wenjun" last="Liu">Wenjun Liu</name><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Bi, Yuhai" sort="Bi, Yuhai" uniqKey="Bi Y" first="Yuhai" last="Bi">Yuhai Bi</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author><author><name sortKey="Gao, George F" sort="Gao, George F" uniqKey="Gao G" first="George F." last="Gao">George F. Gao</name><affiliation><nlm:aff id="aff0010">Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0015">CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0020">CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0030">National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0040">Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang University, Hangzhou, China</nlm:aff></affiliation><affiliation><nlm:aff id="aff0045">University of Chinese Academy of Sciences Medical School, Chinese Academy of Sciences, Beijing, China</nlm:aff></affiliation></author></analytic><series><title level="j">Trends in Microbiology</title><idno type="ISSN">0966-842X</idno><idno type="eISSN">1878-4380</idno><imprint><date when="2016">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Human coronaviruses (HCoVs) were first described in the 1960s for patients with the common cold. Since then, more HCoVs have been discovered, including those that cause severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), two pathogens that, upon infection, can cause fatal respiratory disease in humans. It was recently discovered that dromedary camels in Saudi Arabia harbor three different HCoV species, including a dominant MERS HCoV lineage that was responsible for the outbreaks in the Middle East and South Korea during 2015. In this review we aim to compare and contrast the different HCoVs with regard to epidemiology and pathogenesis, in addition to the virus evolution and recombination events which have, on occasion, resulted in outbreaks amongst humans.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Weiss, S R" uniqKey="Weiss S">S.R. Weiss</name></author><author><name sortKey="Navas Martin, S" uniqKey="Navas Martin S">S. 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<front><journal-meta><journal-id journal-id-type="nlm-ta">Trends Microbiol</journal-id><journal-id journal-id-type="iso-abbrev">Trends Microbiol</journal-id><journal-title-group><journal-title>Trends in Microbiology</journal-title></journal-title-group><issn pub-type="ppub">0966-842X</issn><issn pub-type="epub">1878-4380</issn><publisher><publisher-name>Elsevier Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">27012512</article-id><article-id pub-id-type="pmc">7125511</article-id><article-id pub-id-type="publisher-id">S0966-842X(16)00071-8</article-id><article-id pub-id-type="doi">10.1016/j.tim.2016.03.003</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title-group><article-title>Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses</article-title></title-group><contrib-group><contrib contrib-type="author" id="aut0005"><name><surname>Su</surname><given-names>Shuo</given-names></name><email>shuosu@njau.edu.cn</email><xref rid="aff0005" ref-type="aff">1</xref><xref rid="cor0005" ref-type="corresp">⁎</xref></contrib><contrib contrib-type="author" id="aut0010"><name><surname>Wong</surname><given-names>Gary</given-names></name><xref rid="aff0010" ref-type="aff">2</xref><xref rid="aff0015" ref-type="aff">3</xref><xref rid="aff0020" ref-type="aff">4</xref></contrib><contrib contrib-type="author" id="aut0015"><name><surname>Shi</surname><given-names>Weifeng</given-names></name><xref rid="aff0025" ref-type="aff">5</xref></contrib><contrib contrib-type="author" id="aut0020"><name><surname>Liu</surname><given-names>Jun</given-names></name><xref rid="aff0020" ref-type="aff">4</xref><xref rid="aff0030" ref-type="aff">6</xref></contrib><contrib contrib-type="author" id="aut0025"><name><surname>Lai</surname><given-names>Alexander C.K.</given-names></name><xref rid="aff0035" ref-type="aff">7</xref></contrib><contrib contrib-type="author" id="aut0030"><name><surname>Zhou</surname><given-names>Jiyong</given-names></name><xref rid="aff0005" ref-type="aff">1</xref></contrib><contrib contrib-type="author" id="aut0035"><name><surname>Liu</surname><given-names>Wenjun</given-names></name><xref rid="aff0015" ref-type="aff">3</xref><xref rid="aff0020" ref-type="aff">4</xref></contrib><contrib contrib-type="author" id="aut0040"><name><surname>Bi</surname><given-names>Yuhai</given-names></name><email>beeyh@im.ac.cn</email><xref rid="aff0010" ref-type="aff">2</xref><xref rid="aff0015" ref-type="aff">3</xref><xref rid="aff0020" ref-type="aff">4</xref><xref rid="cor0005" ref-type="corresp">⁎</xref></contrib><contrib contrib-type="author" id="aut0045"><name><surname>Gao</surname><given-names>George F.</given-names></name><email>gaof@im.ac.cn</email><xref rid="aff0010" ref-type="aff">2</xref><xref rid="aff0015" ref-type="aff">3</xref><xref rid="aff0020" ref-type="aff">4</xref><xref rid="aff0030" ref-type="aff">6</xref><xref rid="aff0040" ref-type="aff">8</xref><xref rid="aff0045" ref-type="aff">9</xref><xref rid="cor0005" ref-type="corresp">⁎</xref></contrib></contrib-group><aff id="aff0005"><label>1</label>Engineering Laboratory of Animal Immunity of Jiangsu Province, Institute of immunology and College of Veterinary Medicine, Nanjing Agricultural University, Nanjing, China</aff><aff id="aff0010"><label>2</label>Shenzhen Key Laboratory of Pathogen and Immunity, Shenzhen Third People's Hospital, Shenzhen, China</aff><aff id="aff0015"><label>3</label>CAS Key Laboratory of Pathogenic Microbiology and Immunology, Institute of Microbiology, Chinese Academy of Sciences, Beijing, China</aff><aff id="aff0020"><label>4</label>CAS Center for Influenza Research and Early-Warning (CASCIRE), Chinese Academy of Sciences, Beijing, China</aff><aff id="aff0025"><label>5</label>Institute of Pathogen Biology, Taishan Medical College, Taian, China</aff><aff id="aff0030"><label>6</label>National Institute for Viral Disease Control and Prevention, Chinese Center for Disease Control and Prevention (China CDC), Beijing, China</aff><aff id="aff0035"><label>7</label>Kentucky State University, Frankfort, Kentucky, USA</aff><aff id="aff0040"><label>8</label>Collaborative Innovation Center for Diagnosis and Treatment of Infectious Disease, Zhejiang University, Hangzhou, China</aff><aff id="aff0045"><label>9</label>University of Chinese Academy of Sciences Medical School, Chinese Academy of Sciences, Beijing, China</aff><author-notes><corresp id="cor0005"><label>⁎</label>Correspondence: <email>shuosu@njau.edu.cn</email><email>beeyh@im.ac.cn</email><email>gaof@im.ac.cn</email></corresp></author-notes><pub-date pub-type="pmc-release"><day>21</day><month>3</month><year>2016</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="ppub"><month>6</month><year>2016</year></pub-date><pub-date pub-type="epub"><day>21</day><month>3</month><year>2016</year></pub-date><volume>24</volume><issue>6</issue><fpage>490</fpage><lpage>502</lpage><permissions><copyright-statement>© 2016 Elsevier Ltd. All rights reserved.</copyright-statement><copyright-year>2016</copyright-year><copyright-holder>Elsevier Ltd</copyright-holder><license><license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p></license></permissions><abstract id="abs0005"><p>Human coronaviruses (HCoVs) were first described in the 1960s for patients with the common cold. Since then, more HCoVs have been discovered, including those that cause severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS), two pathogens that, upon infection, can cause fatal respiratory disease in humans. It was recently discovered that dromedary camels in Saudi Arabia harbor three different HCoV species, including a dominant MERS HCoV lineage that was responsible for the outbreaks in the Middle East and South Korea during 2015. In this review we aim to compare and contrast the different HCoVs with regard to epidemiology and pathogenesis, in addition to the virus evolution and recombination events which have, on occasion, resulted in outbreaks amongst humans.</p></abstract><abstract abstract-type="author-highlights" id="abs0010"><title>Trends</title><p>Six coronaviruses (CoVs) are known to infect humans: 229E, OC43, SARS-CoV, NL63, HKU1, and MERS-CoV.</p><p>Many CoVs are simultaneously maintained in nature, allowing for genetic recombination, resulting in novel viruses.</p><p>Recombination of CoV in camels has resulted in a dominant MERS lineage that caused human outbreaks in 2015.</p></abstract><kwd-group id="kwd0005"><title>Keywords</title><kwd>coronavirus</kwd><kwd>MERS</kwd><kwd>SARS</kwd><kwd>evolution</kwd><kwd>recombination</kwd><kwd>pathogenesis</kwd></kwd-group></article-meta></front><body><sec id="sec0005"><title>A Brief Introduction to Human and Animal Coronaviruses</title><p id="par0005">Coronaviruses (CoVs), of the family Coronaviridae, are enveloped viruses with a single-strand, positive-sense RNA genome approximately 26–32 kilobases in size, which is the largest known genome for an RNA virus <xref rid="bib0005" ref-type="bibr">[1]</xref>. The term ‘coronavirus’ refers to the appearance of CoV virions when observed under electron microscopy, in which spike projections from the virus membrane give the semblance of a crown, or <italic>corona</italic> in Latin <xref rid="bib0010" ref-type="bibr">2</xref>, <xref rid="bib0015" ref-type="bibr">3</xref>. All coronaviruses share similarities in the organization and expression of their genome, in which 16 nonstructural proteins (nsp1 through nsp16), encoded by open reading frame (ORF) 1a/b at the 5′ end, are followed by the structural proteins spike (S), envelope (E), membrane (M), and nucleocapsid (N), which are encoded by other ORFs at the 3′ end. CoVs are separated into four genera based on phylogeny: alpha-CoV (group 1), beta-CoV (group 2), gamma-CoV (group 3) and delta-CoV (group 4) (<ext-link ext-link-type="uri" xlink:href="http://ictvonline.org/proposals/2008.085-122%20V.v4.Coronaviridae.pdf" id="intr0005">http://ictvonline.org/proposals/2008.085-122 V.v4.Coronaviridae.pdf</ext-link>). Within the beta-CoV genus, four lineages (A, B, C, and D) are recognized. Distinct from other beta-CoV lineages, lineage A viruses also encode a smaller protein called hemagglutinin esterase (HE), which is functionally similar to the S protein <xref rid="bib0020" ref-type="bibr">[4]</xref>.</p><p id="par0010">Since the early 1970s, a variety of pathological conditions in domestic animals have been attributed to CoV infections <xref rid="bib0025" ref-type="bibr">[5]</xref>. With the exception of infectious bronchitis virus (IBV), which causes avian infectious bronchitis in chickens <xref rid="bib0030" ref-type="bibr">[6]</xref>, canine respiratory coronavirus (CRCoV), which causes respiratory disease in dogs <xref rid="bib0035" ref-type="bibr">[7]</xref>, and mouse hepatitis virus (MHV), which can cause a progressive demyelinating encephalitis in mice <xref rid="bib0015" ref-type="bibr">3</xref>, <xref rid="bib0040" ref-type="bibr">8</xref>, other CoV infections typically result in gastrointestinal symptoms. For instance, transmissible gastroenteritis coronavirus (TGEV) <xref rid="bib0045" ref-type="bibr">9</xref>, <xref rid="bib0050" ref-type="bibr">10</xref>, bovine coronavirus (BCV) <xref rid="bib0055" ref-type="bibr">[11]</xref>, feline coronavirus (FCoV) <xref rid="bib0060" ref-type="bibr">[12]</xref>, canine coronavirus (CCoV) <xref rid="bib0065" ref-type="bibr">[13]</xref>, and turkey coronavirus (TCV) <xref rid="bib0070" ref-type="bibr">[14]</xref> are known to cause enteritis in their respective hosts <xref rid="bib0005" ref-type="bibr">[1]</xref>.</p><p id="par0015">In humans, CoV infections primarily involve the upper respiratory tract and the gastrointestinal tract, and vary from mild, self-limiting disease, such as the common cold, to more severe manifestations, such as bronchitis and pneumonia with renal involvement <xref rid="bib0075" ref-type="bibr">[15]</xref>. The first human coronavirus (HCoV) was isolated during 1965 from the nasal discharge of patients with the common cold and termed B814 <xref rid="bib0080" ref-type="bibr">[16]</xref>. Currently, six different CoV strains are known to infect humans. These include: HCoV-229E (229E), HCoV-OC43 (OC43), severe acute respiratory syndrome coronavirus (SARS-CoV), HCoV-NL63 (NL63), HCoV-HKU1 (HKU1), and Middle East respiratory syndrome coronavirus (MERS-CoV) <xref rid="bib0085" ref-type="bibr">[17]</xref>. 229E and OC43 are the prototype viruses from the two main HCoV lineages (Alpha and Beta, respectively) that cause 15–29% of all common colds, and are the best characterized <xref rid="bib0090" ref-type="bibr">[18]</xref>. SARS-CoV is the aetiological agent that was behind an outbreak of severe respiratory disease through China during 2002–2003 <xref rid="bib0095" ref-type="bibr">[19]</xref>, and MERS-CoV is the pathogen responsible for an ongoing outbreak of severe respiratory disease centered in the Middle East since 2012 <xref rid="bib0100" ref-type="bibr">[20]</xref>. In this review, we first compare and contrast the epidemiology and pathogenesis of the known CoVs infecting humans, in which CoVs that cause mild to severe disease in humans are newly emerged from a zoonotic source. Second, we describe the ecology of CoVs, and highlight evidence for viral recombination between the different CoVs within animal populations, which may result in the generation of novel CoVs that are transmissible and lethal to humans. Finally, we summarize the phylogeny, evolution, and genetic recombination of CoVs in detail.</p></sec><sec id="sec0010"><title>Epidemiology and Pathogenesis of HCoV</title><p id="par0020">The epidemiology and pathogenesis of each HCoV are discussed within the following sections and summarized in <xref rid="tbl0005" ref-type="table">Table 1</xref>and <xref rid="fig0005" ref-type="fig">Figure 1</xref>, respectively. In general, 229E, OC43, and NL63 are distributed globally (<xref rid="fig0005" ref-type="fig">Figure 1</xref>A) and tend to be transmitted predominantly during the winter season in temperate-climate countries <xref rid="bib0105" ref-type="bibr">[21]</xref>, while NL63 showed a spring–summer peak of activity from a study in Hong Kong <xref rid="bib0110" ref-type="bibr">[22]</xref>.<table-wrap position="float" id="tbl0005"><label>Table 1</label><caption><p>Comparison of Clinical Symptoms, Incubation Time, Median Time to Death, and Case Fatality Rates of Human Coronaviruses</p></caption><alt-text id="at1">Table 1</alt-text><table frame="hsides" rules="groups"><thead><tr><th align="left">HCoV</th><th align="left">Clinical Symptoms</th><th align="left">Case Fatality Rate</th><th align="left">Incubation Period</th><th align="left">Median Time to Death</th><th align="left">Refs</th></tr></thead><tbody><tr><td align="left">229E</td><td align="left">General malaise<break></break>Headache<break></break>Nasal discharge<break></break>Sneezing<break></break>Sore throat<break></break>Fever and cough (10–20% of patients)</td><td align="left">N/A<xref rid="tblfn0005" ref-type="table-fn">a</xref></td><td align="left">2–5 days</td><td align="left">—</td><td align="left"><xref rid="bib0090" ref-type="bibr">18</xref>, <xref rid="bib0405" ref-type="bibr">81</xref>, <xref rid="bib0410" ref-type="bibr">82</xref></td></tr><tr><td align="left">OC43</td><td align="left">General malaise<break></break>Headache<break></break>Nasal discharge<break></break>Sneezing<break></break>Sore throat<break></break>Fever and cough (10–20% of patients)</td><td align="left">N/A</td><td align="left">2–5 days</td><td align="left">—</td><td align="left"><xref rid="bib0090" ref-type="bibr">18</xref>, <xref rid="bib0410" ref-type="bibr">82</xref>, <xref rid="bib0415" ref-type="bibr">83</xref>, <xref rid="bib0420" ref-type="bibr">84</xref></td></tr><tr><td align="left">SARS-CoV</td><td align="left">Fever<break></break>Myalgia<break></break>Headache<break></break>Malaise<break></break>Chills<break></break>Nonproductive cough<break></break>Dyspnea<break></break>Respiratory distress<break></break>Diarrhea (30–40% of patients)</td><td align="left">9%</td><td align="left">2–11 days</td><td align="left">23 days</td><td align="left"><xref rid="bib0095" ref-type="bibr">19</xref>, <xref rid="bib0210" ref-type="bibr">42</xref>, <xref rid="bib0425" ref-type="bibr">85</xref>, <xref rid="bib0430" ref-type="bibr">86</xref>, <xref rid="bib0435" ref-type="bibr">87</xref>, <xref rid="bib0440" ref-type="bibr">88</xref></td></tr><tr><td align="left">NL63</td><td align="left">Cough, Rhinorrhea<break></break>Tachypnea<break></break>Fever<break></break>Hypoxia<break></break>Obstructive laryngitis (croup)</td><td align="left">N/A</td><td align="left">2–4 days</td><td align="left">—</td><td align="left"><xref rid="bib0445" ref-type="bibr">89</xref>, <xref rid="bib0450" ref-type="bibr">90</xref>, <xref rid="bib0455" ref-type="bibr">91</xref>, <xref rid="bib0460" ref-type="bibr">92</xref></td></tr><tr><td align="left">HKU1</td><td align="left">Fever<break></break>Running nose<break></break>Cough<break></break>Dyspnea</td><td align="left">N/A</td><td align="left">2–4 days</td><td align="left">—</td><td align="left"><xref rid="bib0010" ref-type="bibr">2</xref>, <xref rid="bib0160" ref-type="bibr">32</xref>, <xref rid="bib0165" ref-type="bibr">33</xref>, <xref rid="bib0170" ref-type="bibr">34</xref>, <xref rid="bib0465" ref-type="bibr">93</xref>, <xref rid="bib0470" ref-type="bibr">94</xref></td></tr><tr><td align="left">MERS-CoV</td><td align="left">Fever<break></break>Cough<break></break>Chills<break></break>Sore throat<break></break>Myalgia<break></break>Arthralgia<break></break>Dyspnea<break></break>Pneumonia<break></break>Diarrhea and vomiting (one-third of patients)<break></break>Acute renal impairment</td><td align="left">36%</td><td align="left">2–13 days</td><td align="left">14 days</td><td align="left"><xref rid="bib0205" ref-type="bibr">41</xref>, <xref rid="bib0210" ref-type="bibr">42</xref>, <xref rid="bib0215" ref-type="bibr">43</xref>, <xref rid="bib0475" ref-type="bibr">95</xref>, <xref rid="bib0480" ref-type="bibr">96</xref></td></tr></tbody></table><table-wrap-foot><fn id="tblfn0005"><label>a</label><p id="npar0005">N/A, not applicable.</p></fn></table-wrap-foot></table-wrap><fig id="fig0005"><label>Figure 1</label><caption><p>Global Distribution of Human Coronaviruses. (A) Green, blue, brown, and purple represent the global distribution of the NL63, HKU1, OC43, and 229E human coronaviruses, respectively. (B) Red and yellow represent the global distribution of MERS-CoV and SARS-CoV, respectively.</p></caption><graphic xlink:href="gr1_lrg"></graphic></fig></p><sec id="sec0015"><title>Human Coronavirus 229E (alphacoronavirus)</title><p id="par0025">Strain 229E was discovered during 1966, when researchers were characterizing five novel agents that were isolated from the respiratory tract of humans who had contracted the common cold <xref rid="bib0115" ref-type="bibr">[23]</xref>. 229E was adapted to grow in WI-38 lung fibroblast cell lines, and was later shown to be morphologically identical to IBV and MHV <xref rid="bib0120" ref-type="bibr">[24]</xref>. Symptoms of 229E infection include general malaise, headache, nasal discharge, sneezing, and a sore throat <xref rid="bib0125" ref-type="bibr">[25]</xref>. A small portion of patients (10–20%) will also exhibit fever and cough. The incubation time is approximately 2–5 days, followed by illness lasting between 2 and 18 days, and clinically indistinguishable from respiratory tract infections caused by other pathogens, such as rhinovirus and influenza A <xref rid="bib0090" ref-type="bibr">[18]</xref>. 229E is distributed globally (<xref rid="fig0005" ref-type="fig">Figure 1</xref>A).</p></sec><sec id="sec0020"><title>Human Coronavirus OC43 (betacoronavirus, lineage A)</title><p id="par0030">Strain OC43 was discovered, during 1967, in the nasopharyngeal wash of a patient with the common cold, and is adapted to grow in organ cultures containing suckling mouse brains. Similar to 229E, OC43 is morphologically indistinguishable from IBV and MHV <xref rid="bib0120" ref-type="bibr">[24]</xref>, and patients infected with OC43 present the same clinical symptoms as that of 229E <xref rid="bib0120" ref-type="bibr">[24]</xref>. However, there is no serological cross-reactivity between 229E and OC43 <xref rid="bib0120" ref-type="bibr">[24]</xref>. OC43 is also distributed globally (<xref rid="fig0005" ref-type="fig">Figure 1</xref>A).</p></sec><sec id="sec0025"><title>SARS-CoV (betacoronavirus, lineage B)</title><p id="par0035">Patients infected with SARS-CoV initially present with fever, myalgia, headache, malaise, and chills, followed by a nonproductive cough, dyspnea, and respiratory distress generally 5 to 7 days later, which may result in death (<ext-link ext-link-type="uri" xlink:href="http://www.who.int/csr/sars/en/WHOconsensus.pdf?ua=1" id="intr0010">http://www.who.int/csr/sars/en/WHOconsensus.pdf?ua=1</ext-link>). Other notable features in some cases include infection of the gastrointestinal tract, liver, kidney, and brain. Diffuse alveolar damage, epithelial cell proliferation, and an increase in macrophages is seen in SARS-CoV infection of the lung. Lymphopenia, hemophagocytosis in the lung, in addition to white-pulp atrophy of the spleen observed in SARS patients, are similar to fatal H5N1 influenza virus infections <xref rid="bib0005" ref-type="bibr">[1]</xref>. Diarrhea is observed in approximately 30–40% of SARS infections (<ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/sars/about/faq.html" id="intr0015">http://www.cdc.gov/sars/about/faq.html</ext-link>).</p><p id="par0040">An outbreak of disease caused by SARS-CoV, originating from Guangdong Province in southern China during November 2002, eventually spread to other countries in Asia, in addition to North America and Europe (37 countries/regions in total) over 9 months (<ext-link ext-link-type="uri" xlink:href="http://www.who.int/ith/diseases/sars/en/" id="intr0020">http://www.who.int/ith/diseases/sars/en/</ext-link>) (<xref rid="fig0005" ref-type="fig">Figure 1</xref>B). An eventual 8273 cases were reported, with 775 deaths for a case fatality rate (CFR) of 9%, and the majority of cases and deaths occurred in mainland China and in Hong Kong <xref rid="bib0095" ref-type="bibr">[19]</xref>. The elderly were more susceptible to SARS disease, with a mortality rate of over 50% (<ext-link ext-link-type="uri" xlink:href="http://www.cdc.gov/sars/surveillance/absence.html" id="intr0025">http://www.cdc.gov/sars/surveillance/absence.html</ext-link>).</p></sec><sec id="sec0030"><title>Human Coronavirus NL63 (alphacoronavirus)</title><p id="par0045">NL63 is primarily associated with young children, the elderly, and immunocompromised patients with respiratory illnesses <xref rid="bib0130" ref-type="bibr">[26]</xref>. NL63 was a novel HCoV isolated from a 7-month-old child with coryza, conjunctivitis, fever, and bronchiolitis in the Netherlands during late 2004 <xref rid="bib0130" ref-type="bibr">[26]</xref>, and an independent investigation described the isolation of virtually the same virus from a nasal sample collected from an 8-month-old boy suffering from pneumonia in the Netherlands <xref rid="bib0135" ref-type="bibr">[27]</xref>. NL63 was also detected in New Haven, USA, during 2005 amongst 79 of 895 children, and was initially called HCoV-NH (NH), but genetic and phylogenetic analyses showed that NH and HKU1 likely are the same species <xref rid="bib0130" ref-type="bibr">26</xref>, <xref rid="bib0140" ref-type="bibr">28</xref>. Infections with NL63 typically result in mild respiratory disease similar to the common cold, characterized by cough, rhinorrhea, tachypnea, fever, and hypoxia, and resolve on their own <xref rid="bib0145" ref-type="bibr">[29]</xref>. Obstructive laryngitis, also known as croup, is frequently observed with NL63 infections. A study estimated that NL63 accounts for an estimated 4.7% of common respiratory diseases <xref rid="bib0130" ref-type="bibr">[26]</xref>. NL63 is distributed globally (<xref rid="fig0005" ref-type="fig">Figure 1</xref>A).</p></sec><sec id="sec0035"><title>Human Coronavirus HKU1 (betacoronavirus, lineage A)</title><p id="par0050">HKU1 was first discovered during January 2005 in a 71-year-old patient from Hong Kong who had been hospitalized with pneumonia and bronchiolitis <xref rid="bib0150" ref-type="bibr">[30]</xref>. The symptoms of HKU1 respiratory tract infections are not able to be separated from those caused by other respiratory viruses. Most patients present with fever, running nose, and cough for infections in the upper respiratory tract, whereas a fever, productive cough, and dyspnea are the common symptoms presenting for infections in the lower respiratory tract <xref rid="bib0155" ref-type="bibr">[31]</xref>. Most HKU1 infections are self-limiting, with only two deaths reported in patients with pneumonia due to HKU1 <xref rid="bib0160" ref-type="bibr">[32]</xref>. Although HKU1 is clinically relatively mild in children, HKU1 infection is associated with a high incidence of seizures, and was found in a patient with meningitis <xref rid="bib0165" ref-type="bibr">33</xref>, <xref rid="bib0170" ref-type="bibr">34</xref>. HKU1 cases outside Asia were detected in New Haven, USA, in 2 out of 851 children <xref rid="bib0175" ref-type="bibr">[35]</xref>, and also in Australia <xref rid="bib0180" ref-type="bibr">[36]</xref>, France <xref rid="bib0185" ref-type="bibr">[37]</xref>, and Brazil <xref rid="bib0190" ref-type="bibr">[38]</xref>, indicating a global distribution for the virus (<xref rid="fig0005" ref-type="fig">Figure 1</xref>A).</p></sec><sec id="sec0040"><title>MERS-CoV (betacoronavirus, lineage C)</title><p id="par0055">MERS-CoV was first isolated from the lungs of a 60-year-old patient who had died from a severe respiratory illness in Jeddah, Saudi Arabia, 2012 <xref rid="bib0195" ref-type="bibr">[39]</xref>. Clinical manifestations of MERS-CoV infection range from asymptomatic to severe pneumonia with acute respiratory distress, septic shock, and renal failure resulting in death <xref rid="bib0200" ref-type="bibr">[40]</xref>. A typical disease course begins with fever, cough, chills, sore throat, myalgia, and arthralgia, followed by dyspnea and rapid progression to pneumonia <xref rid="bib0200" ref-type="bibr">40</xref>, <xref rid="bib0205" ref-type="bibr">41</xref>, <xref rid="bib0210" ref-type="bibr">42</xref>, <xref rid="bib0215" ref-type="bibr">43</xref>. Approximately one-third of patients present with gastrointestinal symptoms, such as diarrhea and vomiting. Acute renal impairment was the most striking feature of disease caused by MERS-CoV, which is thus far unique for human CoV infections <xref rid="bib0200" ref-type="bibr">40</xref>, <xref rid="bib0220" ref-type="bibr">44</xref>. Seventy-five percent of patients with MERS disease also had at least one other comorbidity, and patients who died were more likely to have a pre-existing/underlying condition <xref rid="bib0200" ref-type="bibr">[40]</xref>. Countries around the Arabian Peninsula are known to be endemic for MERS-CoV, and Saudi Arabia has reported the most cases, but since its discovery in 2012, cases have been occasionally exported to other countries through travel, sometimes causing clusters of secondary outbreaks (<xref rid="fig0005" ref-type="fig">Figure 1</xref>B) <xref rid="bib0225" ref-type="bibr">[45]</xref>. As of December 31, 2015, a total of 1621 laboratory-confirmed infections have been reported, with 584 deaths (CFR = 36.0%) over 26 countries (<ext-link ext-link-type="uri" xlink:href="http://www.who.int/csr/disease/coronavirus_infections/en" id="intr0030">http://www.who.int/csr/disease/coronavirus_infections/en</ext-link>), making MERS-CoV one of the most dangerous viruses known to humans.</p></sec></sec><sec id="sec0045"><title>Ecology of Human Coronaviruses</title><p id="par0060">Based on currently available evidence, 229E, OC43, NL63, and HKU1 are well adapted to humans, and the viruses widely circulate in the human population (<xref rid="fig0010" ref-type="fig">Figure 2</xref>), with most cases causing mild disease in immunocompetent adults, and none of these viruses have been found to be maintained within an animal reservoir. However, in the case of SARS-CoV and MERS-CoV, the viruses are not as well adapted to being maintained in humans, and thus are likely spread mainly in zoonotic reservoir(s), with occasional spillover into the susceptible human population, possibly via an intermediate host species.<fig id="fig0010"><label>Figure 2</label><caption><p>Intra- and Inter-Species Transmission of Human Coronaviruses. Red, yellow, green, blue, brown, and purple arrows represent transmission of MERS-CoV, SARS-CoV, NL63, HKU1, OC43, and 229E, respectively, between bats, camels, cows, humans, and masked palm civets (shown in a legend on the side of the figure). Unbroken arrows represent confirmed transmission between the two species in question, and broken arrows represent suspected transmission.</p></caption><graphic xlink:href="gr2_lrg"></graphic></fig></p><p id="par0065">Regarding SARS-CoV, epidemiology data implicated masked palm civets (<italic>Paguma larvata</italic>) from live animal markets (LAM) in Guangdong Province, China, as a route of exposure to SARS-CoV <xref rid="bib0230" ref-type="bibr">[46]</xref>. However, masked palm civets from the wild or from farms without LAM exposure were largely negative for SARS-CoV <xref rid="bib0235" ref-type="bibr">[47]</xref>. This suggests that palm civets were an intermediate host, but not a reservoir for SARS-CoV <xref rid="bib0240" ref-type="bibr">[48]</xref>. Subsequent studies have shown that wild horseshoe bats (Rhinolophidae family), which can also be found in LAM in China and served in some Chinese restaurants in Guangdong, China, have detectable levels of antibodies against SARS-CoV and a SARS-CoV-like virus (SARSr-Rh-Bat CoV) <xref rid="bib0245" ref-type="bibr">49</xref>, <xref rid="bib0250" ref-type="bibr">50</xref>, suggesting a bat origin for SARS-CoV. An evolutionary relationship between coronaviruses and bats was proposed, in which the ancestor for SARS-CoV first spread to bats of the Hipposideridae family, then Rhinolophidae, then masked palm civets and eventually humans <xref rid="bib0255" ref-type="bibr">[51]</xref>. Recently, two new SARS-like CoVs were isolated in horseshoe bats, and these viruses showed the highest relationship to SARS-CoV from all known bat coronaviruses <xref rid="bib0260" ref-type="bibr">[52]</xref>. ORF8 analysis of the SARS-like CoVs in bats suggests that Chinese horseshoe bats are the natural reservoirs of SARS-CoV <xref rid="bib0260" ref-type="bibr">52</xref>, <xref rid="bib0265" ref-type="bibr">53</xref>, and that intermediate hosts might not be needed for direct human infection, particularly for some bat SARS-CoV-like viruses <xref rid="bib0260" ref-type="bibr">[52]</xref>.</p><p id="par0070">In the case of MERS-CoV, studies in Oman, Saudi Arabia, Qatar, United Arab Emirates, and Jordan have shown that dromedary camels are seropositive for neutralizing antibodies against MERS-CoV <xref rid="bib0270" ref-type="bibr">[54]</xref>, as well as camels of Middle East origin in Africa, including Egypt, Kenya, Nigeria, Ethiopia, Tunisia, Somalia, and Sudan <xref rid="bib0275" ref-type="bibr">[55]</xref>. Subsequent studies on dromedary camels in Saudi Arabia <xref rid="bib0280" ref-type="bibr">[56]</xref>, Qatar <xref rid="bib0285" ref-type="bibr">[57]</xref>, and Egypt <xref rid="bib0290" ref-type="bibr">[58]</xref> show that live MERS-CoV can be isolated primarily from the nasal swabs of camels, showing that camels are potential source of MERS-CoV infection. However, many confirmed cases lack contact history with camels <xref rid="bib0295" ref-type="bibr">[59]</xref>, suggesting direct human-to-human transmission, or through contact with a yet-to-be-identified animal species that is maintaining MERS-CoV. Studies on HKU4, a coronavirus of bat origin and the most phylogenically closely related to MERS-CoV, had shown that HKU4 is able to utilize the CD26 receptor for virus entry <xref rid="bib0300" ref-type="bibr">[60]</xref>. As CD26 is a known receptor for MERS-CoV <xref rid="bib0305" ref-type="bibr">[61]</xref>, the similarity in receptor specificity of these two CoVs supports the hypothesis that MERS-CoVs is also a bat-originated CoV. However, live MERS-CoV has not been isolated from wild bats, nor have viral sequences been detected.</p><p id="par0075">A recent investigation discovered that multiple HCoV species, including MERS-CoV, beta-CoV group A, and a 229E-like virus, circulate amongst dromedary camels in Saudi Arabia <xref rid="bib0310" ref-type="bibr">[62]</xref>. Furthermore, multiple lineages of circulating MERS-CoV in these camels had resulted in a dominant, recombinant MERS-CoV strain that was responsible for the MERS-CoV outbreaks during 2015 <xref rid="bib0310" ref-type="bibr">[62]</xref>. These results show that various CoVs of human and animal origin are currently circulating in the wild, providing ample opportunity for CoVs to undergo evolution and genetic recombination, thereby resulting in recombinant CoVs that may potentially be more deadly to humans. In the following sections, we summarize the evolution and genetic recombination of the current HCoVs.</p></sec><sec id="sec0050"><title>Phylogeny, Evolution and Genetic Recombination in Human Coronaviruses</title><sec id="sec0055"><title>Phylogenetic Analysis</title><p id="par0080">The phylogenetic tree for the CoVs of zoonotic and human origin was constructed based on the full genome. It can be observed that 229E and NL63 belong to the alpha-CoV genus and are grouped together with porcine epidemic diarrhea virus (PEDV), TGEV, porcine respiratory coronavirus (PRCV), feline infectious peritonitis virus (FIPV), and some bat-derived coronaviruses (<xref rid="fig0015" ref-type="fig">Figure 3</xref>). The topology of the phylogeny is similar to the tree constructed based on the RNA-dependent RNA polymerase gene <xref rid="bib0275" ref-type="bibr">[55]</xref>.<fig id="fig0015"><label>Figure 3</label><caption><p>Phylogenetic Tree of Known Animal and Human Coronaviruses. Phylogenetic analysis of the full-length genome sequences of coronaviruses publicly available in GenBank was performed using RAxML, with 1000 bootstrap replicates. Lines with different colors represent different coronavirus species, Alpha-coronaviruses (blue lines), Beta-coronaviruses (red lines for Beta-coronavirus C, and black lines for Beta-coronavirus A, B, and D), Gamma-coronaviruses (green lines), and Delta-coronaviruses (purple lines). Human isolates are highlighted with different colors, whereas strains from other hosts are shown in black. Numbers at the branches represent bootstrap values obtained in the phylogenetic analysis.</p></caption><graphic xlink:href="gr3_lrg"></graphic></fig></p><p id="par0085">OC43, HKU1, SARS-CoV, and MERS-CoV belong to the beta-CoV genus. Lineage A includes OC43 and HKU1, MHV, porcine hemagglutinating encephalomyelitis virus (PHEV), in addition to equine, rabbit, camel, bovine, antelope-derived animal coronaviruses. Lineage B includes SARS-CoV, SARS-like viruses of bat and palm civet origin, and some bat-derived CoVs. Lineage C includes MERS-CoV and some bat-derived viruses. Lineage D contains only bat-derived coronavirus (<xref rid="fig0015" ref-type="fig">Figure 3</xref>). In contrast to alpha- and beta-CoVs, gamma-CoVs consist mainly of avian coronaviruses (such as IBV), as well as CoVs isolated from aquatic animals, whales, and dolphins. CoVs of wild-bird origin are clustered into the delta-CoV, which also contains some swine-derived CoVs (<xref rid="fig0015" ref-type="fig">Figure 3</xref>).</p><p id="par0090">In general, alpha- and beta-CoVs primarily include CoVs from mammals, whereas gamma- and delta-CoVs mostly include CoVs of avian origin. Notably, all currently known HCoVs belong to either the alpha- or betacoronavirus genera, which also contain CoVs of mainly bat origin.</p></sec><sec id="sec0060"><title>Mutation and Genetic Recombination in Coronaviruses</title><p id="par0095">The estimated mutation rates in CoV are moderate to high compared to other single-stranded RNA (ssRNA) viruses, and the average substitution rate for CoVs was ∼10<sup>−4</sup> substitutions per year per site <xref rid="bib0315" ref-type="bibr">[63]</xref>. The nucleotide mutation rate of IBV for the hypervariable region in the S gene was estimated to be 0.3–0.6 × 10<sup>–2</sup> per site per year <xref rid="bib0320" ref-type="bibr">[64]</xref>. The S gene of OC43 possessed an average rate of 6.410.58 × 10<sup>–4</sup> substitution rates per site per year <xref rid="bib0325" ref-type="bibr">[65]</xref>. Additionally, the S gene of 229E possessed a rate of ∼3 × 10<sup>− 4</sup> substitutions per site per year <xref rid="bib0315" ref-type="bibr">[63]</xref>. For SARS-CoV, the mutation rate in the whole genome was estimated to be 0.80–2.38 × 1<sup>–3</sup> nucleotide substitutions per site per year, and the nonsynonymous and synonymous substitution rates were estimated to be 1.16–3.30 × 10<sup>–3</sup> and 1.67–4.67 × 10<sup>–3</sup> per site per year, respectively, which is similar to other RNA viruses <xref rid="bib0330" ref-type="bibr">[66]</xref>. The evolutionary rate for MERS-CoV genomes was estimated as 1.12 × 10<sup>−3</sup> substitutions per site per year (95% credible interval [95% CI], 8.76 × 10<sup>−4</sup>; 1.37 × 10<sup>−3</sup>) <xref rid="bib0335" ref-type="bibr">[67]</xref>. Furthermore, the large RNA genome in CoV allows for extra plasticity in genome modification by mutations and recombinations, thereby increasing the probability for intraspecies variability, interspecies ‘host jump’, and novel CoVs to emerge under the right conditions <xref rid="bib0340" ref-type="bibr">68</xref>, <xref rid="bib0345" ref-type="bibr">69</xref>, <xref rid="bib0350" ref-type="bibr">70</xref>.</p><p id="par0100">The major reason for recombination may be at the replication step in the virus life cycle. During replication, a set of subgenomic RNAs is generated, increasing the homologous recombination rate among closely related genes from different lineages of CoVs or other viruses by template switching <xref rid="bib0165" ref-type="bibr">[33]</xref>. Concurrently, circulating CoVs in multiple host species likely contribute to increases in the rate of recombination events. However, the exact mechanism of genetic recombination in CoVs remains unclear: recombination site ‘breakpoints’ in the viral genome – the crossing point of the recombinant genes between two distinct viral strains or genotypes – appear to be random, as different recombinant strains have different breakpoints.</p><p id="par0105">Genetic recombination has been previously documented for animal CoVs, for instance: MHV <xref rid="bib0355" ref-type="bibr">[71]</xref>, TGEV <xref rid="bib0360" ref-type="bibr">[72]</xref>, as well as feline and canine coronaviruses <xref rid="bib0365" ref-type="bibr">73</xref>, <xref rid="bib0370" ref-type="bibr">74</xref>. Genetic recombination for other HCoVs including OC43, NL63, HKU1, SARS-CoV <xref rid="bib0255" ref-type="bibr">[51]</xref>, and MERS-CoV have also been documented and are discussed in detail below.</p><p id="par0110">OC43 has diverged into five distinct genotypes (A to E). Genotype A is typified by the prototype VR759 strain that was isolated in 1967 <xref rid="bib0375" ref-type="bibr">[75]</xref>. Genotypes B and C are two naturally circulating viruses. Genotype D emerged via recombination between genotypes B and C viruses at the breakpoint of 2500–5000 bp in the NSP2–NSP3 gene and 15500 bp-3′end in NSP12-N genes <xref rid="bib0375" ref-type="bibr">[75]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>, Key Figure). Genotype E, identified in 2014, emerged by recombination amongst the genotype B, C, and D viruses with different breakpoints in the genes compared to the generation of genotype D <xref rid="bib0380" ref-type="bibr">[76]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>). A study in France, between 2001 and 2013, demonstrated that OC43 strains have more recombination patterns in Lower Normandy, and circulating OC43 viruses have a high genetic diversity <xref rid="bib0085" ref-type="bibr">[17]</xref>.<fig id="fig0020"><label>Figure 4</label><caption><p>Key Figure: Genetic Recombination in Human Coronaviruses</p></caption><caption><p>The colored regions of each human coronavirus indicate genetic recombination at the genomic sites with coronaviruses of zoonotic origin. Specific nucleotide locations where recombination occurred are also shown in broken lines.</p></caption><graphic xlink:href="gr4_lrg"></graphic></fig></p><p id="par0115">NL63 also has the potential for genetic recombination, and one such example is between the Amsterdam 1 and 496 strains. Recombination site breakpoints were identified in two parts of the S gene <xref rid="bib0315" ref-type="bibr">[63]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>).</p><p id="par0120">Recombination events have been observed for different genotypes of HKU1, in which recombination breakpoints were found on genotypes B and C in the nsp6-nsp7 and nsp16-HE genes, respectively <xref rid="bib0350" ref-type="bibr">[70]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>). HKU1 was also shown to be able to recombine with other animal beta-CoVs, such as MHV, at the nsp3, nsp4, nsp6, nsp7, nps9, and nsp10 genes <xref rid="bib0385" ref-type="bibr">[77]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>).</p><p id="par0125">SARS-CoV has a possible recombinant history with lineages of alpha- and gamma-CoV <xref rid="bib0390" ref-type="bibr">[78]</xref>. Many specific breakpoints and a large number of smaller recombinant regions had been identified in the RNA-dependent RNA polymerase (RDRP, nsp12 gene) at the following locations: nucleotides 13 392–13 610, 15 259–15 342, and 15 974–16 108 based on the sequence of the SARS-CoV TOR2 strain <xref rid="bib0390" ref-type="bibr">[78]</xref>. Recombination locations were also identified in the nsp9 and most of nsp10 gene located at 12 613–13 344, and parts of nsp14 (18 117–18 980) <xref rid="bib0390" ref-type="bibr">[78]</xref>. Another study analyzing the genome of the SARS-CoV CV7 strain had shown that seven putative recombination locations were found between SARS-CoV and six other coronaviruses: PEDV, TGEV, BCV, 229E, MHV, and IBV (<xref rid="fig0020" ref-type="fig">Figure 4</xref>). This further suggests that SARS-CoV emerged via serial horizontal transmission and by genetic recombination, enhancing the adaptation process to its new host <xref rid="bib0395" ref-type="bibr">[79]</xref>.</p><p id="par0130">Recombination was also detected between the SARS-related bat-associated CoV (SARSr-Bat CoVs), in which recombination between the Rp3 strain from Guangxi Province and Rf1 strain from Hubei Province, China, generated a new strain (SARSr-Civet CoV SZ3) in civets, with a breakpoint at the nsp16/spike and S2 region <xref rid="bib0255" ref-type="bibr">[51]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>). Furthermore, the SARS-CoV Rf1/2004 strain is itself a recombinant from the bat CoV 279/2004, bat CoV Rm1/2004 and civet CoV SZ3/2003 <xref rid="bib0255" ref-type="bibr">[51]</xref> (<xref rid="fig0020" ref-type="fig">Figure 4</xref>).</p><p id="par0135">A recent study showed that the epidemic MERS-CoV experienced recombination events between the different lineages, which occurred in dromedary camels in Saudi Arabia <xref rid="bib0310" ref-type="bibr">[62]</xref>. Lineages 3 and 5 viruses were predominant during July and December 2014; however, lineage 5 became dominant within the camel population by 2015. Lineage 5, which is closely associated with the MERS-CoV causing the outbreak in South Korea in 2015, as well as recent human infections in Riyadh, Saudi Arabia, is a recombinant virus between lineages 3 and 4, or groups 3 and 5 of clade B (<xref rid="fig0020" ref-type="fig">Figure 4</xref>) <xref rid="bib0310" ref-type="bibr">62</xref>, <xref rid="bib0400" ref-type="bibr">80</xref>.</p></sec></sec><sec id="sec0065"><title>Concluding Remarks</title><p id="par0140">The result from a high frequency of recombination events in CoVs is the generation of novel viruses with a high genetic diversity, with unpredictable changes in virulence during human infections. With multiple species of CoVs circulating in the wild amongst different animal species that may constantly interact with one another, it is likely not a matter of if, but when, the next recombinant CoV will emerge and cause another outbreak in the human population. As such, some crucial future areas of investigation include: (i) the prevalence of HCoVs already circulating within the animal population, (ii) the commonality of coronavirus recombination in animals, (iii) animals which may potentially serve as mixing vessels for the generation of novel recombinant CoVs, and (iv) a surveillance network to monitor and predict the potential emergence of a highly virulent, recombinant CoV from animals (see Outstanding Questions). Furthermore, lessons from the SARS-CoV and MERS-CoV outbreaks must be urgently learned in advance to effectively prepare for the next CoV outbreak.<boxed-text id="tb0005"><label>Outstanding Questions</label><p id="par0145">How common is coronavirus recombination in animals?</p><p id="par0150">Can coronavirus undergo recombination in animal hosts other than camels?</p><p id="par0155">Is there a way to predict the potential emergence of a novel recombinant coronavirus in the human population?</p></boxed-text></p></sec><sec id="sec0070"><title>Author Contributions</title><p id="par0160">Shuo Su and Gary Wong contributed equally to this manuscript.</p></sec></body><back><ref-list id="bibl0005"><title>References</title><ref id="bib0005"><label>1</label><element-citation publication-type="journal" id="sbref0005"><person-group person-group-type="author"><name><surname>Weiss</surname><given-names>S.R.</given-names></name><name><surname>Navas-Martin</surname><given-names>S.</given-names></name></person-group><article-title>Coronavirus pathogenesis and the emerging pathogen severe acute respiratory syndrome coronavirus</article-title><source>Microbiol. 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