Molecular Evolution of Human Coronavirus Genomes
Identifieur interne : 001422 ( Pmc/Corpus ); précédent : 001421; suivant : 001423Molecular Evolution of Human Coronavirus Genomes
Auteurs : Diego Forni ; Rachele Cagliani ; Mario Clerici ; Manuela SironiSource :
- Trends in Microbiology [ 0966-842X ] ; 2016.
Abstract
Human coronaviruses (HCoVs), including SARS-CoV and MERS-CoV, are zoonotic pathogens that originated in wild animals. HCoVs have large genomes that encode a fixed array of structural and nonstructural components, as well as a variety of accessory proteins that differ in number and sequence even among closely related CoVs. Thus, in addition to recombination and mutation, HCoV genomes evolve through gene gains and losses. In this review we summarize recent findings on the molecular evolution of HCoV genomes, with special attention to recombination and adaptive events that generated new viral species and contributed to host shifts and to HCoV emergence.
Url:
DOI: 10.1016/j.tim.2016.09.001
PubMed: 27743750
PubMed Central: 7111218
Links to Exploration step
PMC:7111218Le document en format XML
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<front><div type="abstract" xml:lang="en"><sec><p>Human coronaviruses (HCoVs), including SARS-CoV and MERS-CoV, are zoonotic pathogens that originated in wild animals. HCoVs have large genomes that encode a fixed array of structural and nonstructural components, as well as a variety of accessory proteins that differ in number and sequence even among closely related CoVs. Thus, in addition to recombination and mutation, HCoV genomes evolve through gene gains and losses. In this review we summarize recent findings on the molecular evolution of HCoV genomes, with special attention to recombination and adaptive events that generated new viral species and contributed to host shifts and to HCoV emergence.</p>
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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>
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<issn pub-type="epub">1878-4380</issn>
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<article-id pub-id-type="pmc">7111218</article-id>
<article-id pub-id-type="publisher-id">S0966-842X(16)30133-0</article-id>
<article-id pub-id-type="doi">10.1016/j.tim.2016.09.001</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
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<title-group><article-title>Molecular Evolution of Human Coronavirus Genomes</article-title>
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<contrib-group><contrib contrib-type="author" id="aut0005"><name><surname>Forni</surname>
<given-names>Diego</given-names>
</name>
<xref rid="aff0005" ref-type="aff">1</xref>
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<contrib contrib-type="author" id="aut0010"><name><surname>Cagliani</surname>
<given-names>Rachele</given-names>
</name>
<xref rid="aff0005" ref-type="aff">1</xref>
</contrib>
<contrib contrib-type="author" id="aut0015"><name><surname>Clerici</surname>
<given-names>Mario</given-names>
</name>
<xref rid="aff0010" ref-type="aff">2</xref>
<xref rid="aff0015" ref-type="aff">3</xref>
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<contrib contrib-type="author" id="aut0020"><name><surname>Sironi</surname>
<given-names>Manuela</given-names>
</name>
<email>manuela.sironi@bp.lnf.it</email>
<xref rid="aff0005" ref-type="aff">1</xref>
<xref rid="cor0005" ref-type="corresp">⁎</xref>
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</contrib-group>
<aff id="aff0005"><label>1</label>
Scientific Institute IRCCS E. MEDEA, Bioinformatics, Bosisio Parini, Italy</aff>
<aff id="aff0010"><label>2</label>
Department of Physiopathology and Transplantation, University of Milan, Milan, Italy</aff>
<aff id="aff0015"><label>3</label>
Don C. Gnocchi Foundation ONLUS, IRCCS, Milan, Italy</aff>
<author-notes><corresp id="cor0005"><label>⁎</label>
Correspondence: <email>manuela.sironi@bp.lnf.it</email>
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<pub-date pub-type="pmc-release"><day>19</day>
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<year>2017</year>
</pub-date>
<pub-date pub-type="epub"><day>19</day>
<month>10</month>
<year>2016</year>
</pub-date>
<volume>25</volume>
<issue>1</issue>
<fpage>35</fpage>
<lpage>48</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"><sec><p>Human coronaviruses (HCoVs), including SARS-CoV and MERS-CoV, are zoonotic pathogens that originated in wild animals. HCoVs have large genomes that encode a fixed array of structural and nonstructural components, as well as a variety of accessory proteins that differ in number and sequence even among closely related CoVs. Thus, in addition to recombination and mutation, HCoV genomes evolve through gene gains and losses. In this review we summarize recent findings on the molecular evolution of HCoV genomes, with special attention to recombination and adaptive events that generated new viral species and contributed to host shifts and to HCoV emergence.</p>
</sec>
<sec><title>Video Abstract</title>
<p><supplementary-material content-type="local-data" id="mmc1"><media xlink:href="mmc1.flv"></media>
</supplementary-material>
</p>
</sec>
</abstract>
<abstract abstract-type="author-highlights" id="abs0010"><title>Trends</title>
<p>Human coronaviruses (HCoVs) are zoonotic pathogens with large and complex genomes. Some HCoV accessory proteins were acquired from host genes, and some were lost or split during HCoV evolution. Most likely SARS-CoV ORF8 became dispensable during the shift to the human/civet host.</p>
<p>HCoV spike proteins adapted to use diverse cellular receptors. This occurred by divergence followed, in some cases, by convergent evolution to bind the same receptor.</p>
<p>Recombination and positive selection shaped the diversity of CoV genomes, especially the S gene. Positive selection in the S gene of MERS-CoV and related CoVs mainly acted on the heptad repeats.</p>
<p>In MERS-CoV and other lineage C beta-CoVs, positive selection targeted the nonstructural components, particularly ORF1a. Most adaptive events occurred in nsp3, which acts as a viral protease and contributes to suppression of interferon responses.</p>
</abstract>
<kwd-group id="kwd0005"><title>Keywords</title>
<kwd>human coronavirus</kwd>
<kwd>molecular evolution</kwd>
<kwd>gene gain/loss</kwd>
<kwd>positive selection</kwd>
<kwd>recombination</kwd>
<kwd>host shift</kwd>
</kwd-group>
</article-meta>
</front>
<body><sec id="sec0005"><title>Human Coronaviruses Are Zoonotic Pathogens</title>
<p id="par0005">The recent emergence of severe acute respiratory syndrome-related coronavirus (SARS-CoV) and of Middle East respiratory syndrome-related Coronavirus (MERS-CoV) (order Nidovirales, family Coronaviridae, subfamily Coronavirinae) as dangerous zoonoses stirred great interest in the ecology and evolution of coronaviruses. Before the SARS-CoV epidemic only two HCoVs were known: HCoV-229E and HCoV-OC43. Two additional HCoVs, HCoV-NL63 and HCoV-HKU1, were discovered in 2004–2005 from clinical specimens <xref rid="bib0455" ref-type="bibr">[1]</xref>
. These viruses originated in animals and are mainly responsible for respiratory diseases in humans (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
A, Key Figure). Specifically, all HCoVs are thought to have a bat origin, with the exception of lineage A beta-CoVs, which may have reservoirs in rodents <xref rid="bib0460" ref-type="bibr">[2]</xref>
. The phylogenetic relationships of HCoVs and other animal CoVs mentioned in this review are summarized in <xref rid="fig0005" ref-type="fig">Figure 1</xref>
A.<fig id="fig0005"><label>Figure 1</label>
<caption><p>Key Figure: Phylogenetic Relationships and Genome Organization of Human and Animal Coronaviruses (CoVs)</p>
</caption>
<caption><p>CoVs that infect nonhuman mammals are included only if they are mentioned in the text for comparative purposes. (A) The phylogenetic tree of complete genome sequences of HCoVs and selected mammalian CoVs was obtained with RAxML 8.2.4 <xref rid="bib0790" ref-type="bibr">[68]</xref>
. Numbers indicate bootstrap support. CoVs are colored according to genus and lineage. Information about origin, intermediate host, and clinical presentation is reported for the six HCoVs <xref rid="bib0455" ref-type="bibr">1</xref>
, <xref rid="bib0460" ref-type="bibr">2</xref>
, <xref rid="bib0465" ref-type="bibr">3</xref>
, <xref rid="bib0470" ref-type="bibr">4</xref>
, <xref rid="bib0475" ref-type="bibr">5</xref>
, <xref rid="bib0895" ref-type="bibr">89</xref>
. Data about case fatality rate were derived from the World Health Organization website (<ext-link ext-link-type="uri" xlink:href="http://www.who.int/mediacentre/factsheets/mers-cov/;" id="intr0005">http://www.who.int/mediacentre/factsheets/mers-cov/;</ext-link>
<ext-link ext-link-type="uri" xlink:href="http://www.who.int/csr/sars/country/table2004_04_21/en/" id="intr0010">http://www.who.int/csr/sars/country/table2004_04_21/en/</ext-link>
). (B) CoV genome organization is schematically reported together with information on receptor/coreceptor usage. Virus names are colored according to their genus or lineage, as in (A). Only ORFs mentioned in the text are colored or shaded. Empty boxes represent accessory ORFs that are not described in the text.</p>
</caption>
<graphic xlink:href="gr1_lrg"></graphic>
</fig>
</p>
<p id="par0010">A number of field studies identified and sequenced viruses related to HCoVs in wildlife reservoirs, and phylogenetic reconstruction provided important clues on the most likely events that led to the introduction of HCoVs in human populations. Several recent excellent reviews delve into the knowns and unknowns of HCoV origin in terms of reservoir species, amplification host, and, more generally, of CoV ecology <xref rid="bib0455" ref-type="bibr">1</xref>
, <xref rid="bib0465" ref-type="bibr">3</xref>
, <xref rid="bib0470" ref-type="bibr">4</xref>
, <xref rid="bib0475" ref-type="bibr">5</xref>
. In this review we instead focus on the molecular evolution of HCoV genomes. The general concepts of evolutionary analyses in viruses are outlined in <xref rid="tb0010" ref-type="boxed-text">Box 1</xref>
, whereas the most common approaches that were applied to the analysis of CoV sequence evolution in terms of phylogenetic reconstruction, detection of recombination, and identification of selection signatures are summarized in <xref rid="tb0010" ref-type="boxed-text">Boxes 1</xref>
and <xref rid="tb0015" ref-type="boxed-text">2</xref>
.<boxed-text id="tb0010"><label>Box 1</label>
<caption><title>Molecular Evolution in Viruses: General Concepts</title>
</caption>
<p id="par0175">RNA viruses are rapidly evolving pathogens that can accumulate considerable genetic diversity in relatively short time periods. This is mostly due to their high nucleotide mutation rates (but see text for CoVs). The diversity of extant viral sequences can be analyzed to construct phylogenetic relationships among species/strains and to infer the underlying evolutionary patterns. In the presence of recombination a single phylogenetic tree is unable to describe the evolution of homologous sequences. Because recombination is common in many viruses, including HCoVs, the evolution of viral genomes is best modeled by several phylogenies, one for each nonrecombinant fragment (<xref rid="tb0015" ref-type="boxed-text">Box 2</xref>
). By reassorting mutations, recombination has the potential to generate novel viral phenotypes. Thus, not only recombination is of interest <italic>per se</italic>
, but failure to account for its presence can distort phylogeny-based analyses, including estimates of natural selection <xref rid="bib0780" ref-type="bibr">[66]</xref>
. Natural selection acts pervasively on viral sequences. When coding regions are concerned, natural selection is commonly estimated in terms of ω (also referred to as dN/dS) – that is, the observed number of nonsynonymous differences per nonsynonymous site (dN) over the observed number of synonymous differences per synonymous site (dS). Under neutral evolution, ω is expected to be equal to 1, as the rate at which amino acid substitutions accumulate is similar to the rate for synonymous changes. Due to the fact that essential protein domains can often tolerate only minor sequence changes, most amino acid replacements are eliminated by selection; this generates ω values <1, a situation referred to as negative (or purifying) selection. Nevertheless, amino acid replacements can be advantageous for a virus in terms, for example, of host adaptation or immune evasion: in this case ω values can be higher than 1 (positive selection). Thus, evaluation of how ω varies from site to site or from branch to branch in a phylogeny is commonly used to describe selective events. Some possible caveats should nevertheless be kept in mind. (i) The saturation of substitution rates (especially dS) may occur and affect evolutionary inference when fast-evolving sequences are analyzed (see <xref rid="tb0020" ref-type="boxed-text">Box 3</xref>
for an example, and <xref rid="tb0015" ref-type="boxed-text">Box 2</xref>
for methods to overcome this problem). (ii) In viral genomes synonymous substitutions are not always neutral; this may be due to the presence of overlapping reading frames, conserved RNA secondary structures, packaging signals, and other functional elements (<xref rid="tb0020" ref-type="boxed-text">Box 3</xref>
). (iii) A relaxation in the intensity of both negative and positive selection may occasionally occur (<xref rid="tb0015" ref-type="boxed-text">Box 2</xref>
and <xref rid="fig2" ref-type="fig">Figure 2</xref>
A).</p>
</boxed-text>
<boxed-text id="tb0015"><label>Box 2</label>
<caption><title>Molecular Evolution in Viruses: Methods and Caveats</title>
</caption>
<sec id="sec0065"><title>Phylogenetic tree construction</title>
<p id="par0180">Distance-based and character-based approaches can be used in phylogenetic tree reconstruction. Distance-based methods measure pairwise differences among sequences and generate the tree from the resultant distance matrix (e.g., UPGMA, Neighbour Joining). Character-based methods evaluate all possible trees and estimate the one that best fits the data. This approach includes <bold>maximum likelihood</bold>
(ML) and Bayesian methods (e.g., phyML <xref rid="bib0785" ref-type="bibr">[67]</xref>
, RaxML <xref rid="bib0790" ref-type="bibr">[68]</xref>
, MrBayes <xref rid="bib0795" ref-type="bibr">[69]</xref>
).</p>
</sec>
<sec id="sec0070"><title>Recombination detection</title>
<p id="par0185">The location of recombination breakpoints can be detected using phylogenetic incongruence among segments in a sequence alignment (e.g., GARD <xref rid="bib0800" ref-type="bibr">[70]</xref>
) or by evaluating the distribution of nucleotide substitution along genomic regions (e.g., Recco <xref rid="bib0805" ref-type="bibr">[71]</xref>
). A common approach is to use different methodologies to identify breakpoint locations and contributing sequences (e.g., RDP <xref rid="bib0810" ref-type="bibr">[72]</xref>
).</p>
</sec>
<sec id="sec0075"><title>Positive selection analyses</title>
<p id="par0190">Positive selection is usually estimated based on ω variation across sites and/or lineages (<xref rid="tb0010" ref-type="boxed-text">Box 1</xref>
). A common approach is to compare ML models that allow or not a class of codons in the alignment to evolve with ω > 1 (e.g., the ‘site models’ in PAML <xref rid="bib0815" ref-type="bibr">[73]</xref>
) Likelihood ratio tests are then applied to determine whether the neutral model can be rejected in favor of the positive selection model. Alternatively, branch-site models can be applied to detect episodic positive selection on specific branches of the phylogeny. Different methods allow to test <italic>a priori</italic>
whether a branch is under selection <xref rid="bib0820" ref-type="bibr">74</xref>
, <xref rid="bib0825" ref-type="bibr">75</xref>
or to model different evolutionary scenarios for each branch <xref rid="bib0830" ref-type="bibr">[76]</xref>
. When evolutionary analysis is focused on recent timescales, selection may not have yet fixed the advantageous mutations or removed the deleterious ones. One possibility is to compare the distribution of nonsynonymous and synonymous polymorphisms in a specific lineage with the ratio of nonsynonymous to synonymous fixed differences between lineages/species. The McDonald-Kreitman test <xref rid="bib0835" ref-type="bibr">[77]</xref>
has been widely applied for this purpose.</p>
</sec>
<sec id="sec0080"><title>Relaxed selection</title>
<p id="par0195">When selection is relaxed, smaller <italic>ω</italic>
values tend toward 1, whereas <italic>ω</italic>
values higher than 1 decrease. This phenomenon can be confused with episodic selection. Specific methods allow one to infer whether a branch in the phylogeny is under positive or relaxed selection <xref rid="bib0540" ref-type="bibr">[18]</xref>
.</p>
</sec>
<sec id="sec0085"><title>Subsitution rate saturation</title>
<p id="par0200">Saturation of substitution rates can be a serious issue for deep tree branches. Nonetheless, branch-site methods are relatively insensitive to biases introduced by dS saturation, and can be applied to the analysis of distantly related species <xref rid="bib0840" ref-type="bibr">[78]</xref>
. Alternatively, specific indexes have been developed to detect substitution saturation <xref rid="bib0845" ref-type="bibr">[79]</xref>
; in the presence of dS saturation, third-codon positions can be removed to obtain reliable phylogenies.</p>
</sec>
<sec id="sec0090"><title>Synonymous constraint</title>
<p id="par0205">Regions with an excess of synonymous constraint can be identified using a recently developed sliding-window ML-based method <xref rid="bib0850" ref-type="bibr">[80]</xref>
.</p>
</sec>
</boxed-text>
</p>
</sec>
<sec id="sec0010"><title>HCoV Genome Organization</title>
<p id="par0015">CoVs are positive-sense, single-strand RNA viruses with a likely ancient origin, and HCoVs repeatedly emerged during the past 1000 years (<xref rid="tb0020" ref-type="boxed-text">Box 3</xref>
). All CoVs have nonsegmented genomes that share a similar organization. About two thirds of the genome consists of two large overlapping <bold>open reading frames</bold>
(ORF1a and ORF1b; see <xref rid="glo0005" ref-type="glossary">Glossary</xref>
), that are translated into the pp1a and pp1ab polyproteins. These are processed to generate 16 nonstructural proteins (nsp1 to 16). The remaining portion of the genome includes ORFs for the structural proteins: spike (S), envelope (E), membrane (M) and nucleoprotein (N). A variable number of accessory proteins are also encoded by distinct viruses (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B).<boxed-text id="tb0020"><label>Box 3</label>
<caption><title>Time Origin of CoV Genera and HCoV Emergence</title>
</caption>
<p id="par0210">Coronaviruses are classified into four distinct genera (alpha, beta, gamma, and delta) <xref rid="bib0855" ref-type="bibr">[81]</xref>
; alpha-CoVs and beta-CoVs circulate in mammalian hosts, whereas gamma-CoVs and delta-CoVs mainly infect birds <xref rid="bib0860" ref-type="bibr">[82]</xref>
. An analysis of the RNA-dependent RNA polymerase (RdRp) gene in 43 CoVs provided a first estimate of around 10 000 years ago for the time of the most recent common ancestor (tMRCA) of the four genera <xref rid="bib0865" ref-type="bibr">[83]</xref>
. This result was questioned on the basis of observations suggesting a longstanding interaction between CoVs and their hosts <xref rid="bib0860" ref-type="bibr">[82]</xref>
. Thus, Wertheim and coworkers hypothesized that natural selection, in particular negative selection, resulted in a bias of the tMRCA estimate <xref rid="bib0860" ref-type="bibr">[82]</xref>
. Indeed, strong negative selection can result in the saturation of substitutions at synonymous sites and consequently in underestimation of branch lengths in a phylogeny. To overcome this issue, the authors applied a branch-site test (see <xref rid="tb0010" ref-type="boxed-text">Box 1</xref>
) <xref rid="bib0830" ref-type="bibr">[76]</xref>
to estimate branch lengths while taking into account the effect of different selective pressures among lineages in the CoV phylogeny <xref rid="bib0860" ref-type="bibr">[82]</xref>
. Their findings placed the separation of the four CoV genera around 300 million years ago, highlighting the importance of evolutionary models in molecular clock dating. Interestingly, this tMRCA is consistent with the separation time between mammals and aves <xref rid="bib0870" ref-type="bibr">[84]</xref>
, suggesting a coevolutionary relationship between coronavirus and their hosts. However, the dating estimates obtained for closely related viruses by Wertheim and coworkers were in agreement with previous studies, suggesting that the action of natural selection is not biasing the estimation of more recent divergence times. Although most HCoVs were identified only recently, molecular clock analyses indicate that some of these viruses diverged from closely related CoVs hundreds of years ago. In particular, the emergence of HCoV-NL63 and HCoV-229E has been roughly estimated around 500–800 and 200 years ago, respectively <xref rid="bib0875" ref-type="bibr">85</xref>
, <xref rid="bib0880" ref-type="bibr">86</xref>
. HCoV-OC43 is thought to have shared a common ancestor with BCoV around 120 years ago <xref rid="bib0885" ref-type="bibr">[87]</xref>
. As for SARS-CoV and MERS-CoV, molecular dating studies estimated that they diverged from bat CoVs in the last three decades <xref rid="bib0520" ref-type="bibr">14</xref>
, <xref rid="bib0890" ref-type="bibr">88</xref>
. Finally, the MRCA of HCoV-HKU1 extant lineages was estimated to have existed in the 1950s <xref rid="bib0750" ref-type="bibr">[60]</xref>
. Clearly, these dates should be regarded as estimates and confidence intervals are often wide. A timeline for the emergence of HCoVs is depicted in <xref rid="fig0010" ref-type="fig">Figure I</xref>
.<fig id="fig0010"><label>Figure I</label>
<caption><p>Timeline for the Emergence of HCoVs.</p>
</caption>
<graphic xlink:href="gr1b3_lrg"></graphic>
</fig>
</p>
</boxed-text>
</p>
<p id="par0020">Among RNA viruses, CoVs have exceptionally long genomes (up to 32 kb). Genome expansion in CoVs is believed to be at least partially mediated by increased replication fidelity. Although estimates of the mutation rate for CoVs differ, possibly depending on the phase of CoV adaptation to novel hosts, several studies have shown that these viruses may possess an unusually high replication fidelity <xref rid="bib0480" ref-type="bibr">6</xref>
, <xref rid="bib0485" ref-type="bibr">7</xref>
, <xref rid="bib0490" ref-type="bibr">8</xref>
. Indeed, a major step that allowed genome expansion in CoVs and, more generally, in Nidovirales, was the acquisition of a set of RNA-processing enzymes that improved the low fidelity of RNA replication <xref rid="bib0495" ref-type="bibr">[9]</xref>
. These enzymes include an RNA 3′-to-5′ exoribonuclease (ExoN) and possibly an endoribonuclease (NendoU) <xref rid="bib0495" ref-type="bibr">[9]</xref>
. Additional evidence, though, suggests that features distinct from replication fidelity underlie genome expansion in Nidovirales. These include a peculiar genome organization <xref rid="bib0495" ref-type="bibr">[9]</xref>
and a processive replication complex <xref rid="bib0500" ref-type="bibr">[10]</xref>
.</p>
<p id="par0025">Importantly, CoV genome expansion allowed the acquisition and maintenance of genes encoding diverse accessory proteins that may promote virus adaptation to specific hosts and often contribute to the suppression of immune responses, as well as to virulence. Accessory proteins differ in number and sequence even among CoVs belonging to the same lineage (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B), raising interesting questions about their origin and evolution.</p>
</sec>
<sec id="sec0015"><title>Gene Gains and Gene Losses</title>
<p id="par0030">The acquisition (or loss) of novel protein-coding genes has the potential to drastically modify viral phenotypes. Thus, tracing these gain/loss events may identify important turning points in viral evolution.</p>
<p id="par0035">Among SARS-CoV accessory proteins, the origin of ORF8 has remained mysterious for a while, as SARS-CoV-related (SARSr) bat viruses were isolated but found to encode divergent ORF8 proteins (amino acid identity with SARS-CoV ORF8 around 33%) <xref rid="bib0505" ref-type="bibr">11</xref>
, <xref rid="bib0510" ref-type="bibr">12</xref>
, <xref rid="bib0515" ref-type="bibr">13</xref>
. Very recently, SARSr-BatCoVs from <italic>Rhinolophus sinicus</italic>
(Rs) and <italic>Rhinolophus ferrumequinum</italic>
(Rf) were isolated <xref rid="bib0520" ref-type="bibr">14</xref>
, <xref rid="bib0525" ref-type="bibr">15</xref>
. Analysis of the ORF8 region revealed high sequence identity with civet/human SARS-CoV. Two groups came to the conclusion that recombination within SARSr-Rs-CoVs or between SARSr-Rs-CoVs and SARSr-Rf-CoVs led to the acquisition of an ORF8 closely related to that of civet/human SARS-CoV and ultimately originated the virus responsible for the human epidemic <xref rid="bib0520" ref-type="bibr">14</xref>
, <xref rid="bib0525" ref-type="bibr">15</xref>
. Interestingly, Lau and coworkers also reported that the ORF8 region has a <bold>dN/dS</bold>
= 3.5 in SARS-CoVs isolated from humans (but not in SARSr-BatCoVs), indicating the action of <bold>positive selection</bold>
(<xref rid="tb0010" ref-type="boxed-text">Box 1</xref>
) <xref rid="bib0520" ref-type="bibr">[14]</xref>
. This finding is interesting <italic>per se</italic>
and becomes even more important considering that, early in the human epidemic, SARS-CoVs acquired a signature 29-nucleotide deletion which split ORF8 into two functional ORFs (ORF8a and b) <xref rid="bib0530" ref-type="bibr">[16]</xref>
. These findings suggest that rapid evolution of ORF8 might facilitate host shifts <xref rid="bib0520" ref-type="bibr">[14]</xref>
. This possibility is, however, questioned by the presence of additional SARS-CoV human isolates that carry independent and larger deletions in the ORF8 region <xref rid="bib0530" ref-type="bibr">[16]</xref>
. Thus, an alternative explanation for these findings is that the activity of ORF8 became dispensable in the human host. If this were the case, relaxed <bold>purifying selection</bold>
rather than positive selection might be responsible for the high dN/dS. To disentangle these alternative possibilities we analyzed ORF8 in human and civet viruses that carry an intact gene, as well as in bat viruses. Although we confirmed that dN/dS is well above 1 for human/civet SARS-CoV ORF8, we detected no evidence of positive selection using the M7/M8 ‘site models’ from PAML (<xref rid="tb0015" ref-type="boxed-text">Box 2</xref>
) or with PARRIS (PARtitioning approach for Robust Inference of Selection) <xref rid="bib0535" ref-type="bibr">[17]</xref>
(<xref rid="fig2" ref-type="fig">Figure 2</xref>
A). Instead, we obtained evidence that relaxation of natural selection <xref rid="bib0540" ref-type="bibr">[18]</xref>
in ORF8 accompanied the shift from bats to civets/humans (<xref rid="fig2" ref-type="fig">Figure 2</xref>
A). These results suggest no major adaptive role for ORF8 during the human SARS-CoV epidemic and support the view that ORF8 is dispensable for virulence and transmission at least in the human/civet host.<fig id="fig2"><label>Figure 2</label>
<caption><p>Evolution of Human Coronavirus (HCoV) Accessory Proteins.(A) Test for relaxation of selective strength for SARS-CoV and SARSr-BatCoVs ORF8. Branches are colored according to the selection intensity parameter k. RELAX evaluates if selection on the test branches (bold) is relaxed (<italic>k</italic>
< 1) or intensified (<italic>k</italic>
> 1) compared to background branches. In the evolutionary analysis table the number of sequences differs from that in the tree because RELAX removes identical sequences. Evidence of positive selection was searched for using the M7/M8 ‘site models’ from PAML (see <xref rid="tb0015" ref-type="boxed-text">Box 2</xref>
) and with PARRIS. M7 and M8 represent the null and the positive selection models, respectively. A likelihood ratio test (with 2 degrees of freedom) was applied. (B) An amino acid alignment of rodent AKAP7 and four viral phosphodiesterases (PDEs) is shown. Amino acids are colored red if they are identical, orange if they have very similar properties. PDEs belonging to the 2H family are characterized by two H-Φ-[S/T]-Φ motifs (blue boxes), where Φ is a hydrophobic residue. The structure of rat AKAP7 (gray, PDB ID: 2VFK) is superimposed on MERS-CoV NS4b (green, model generated from 2VFK), MHV NS2a (cyan, PDB ID: 4Z5V), and Rotavirus A VP3 (yellow, PDB ID: 5AF2). Catalytic histidines are shown in red. (C) Sequence and membrane topology comparison of HCoV viroporins. Transmembrane regions (TM1-3) predicted by the TMHMM algorithm <xref rid="bib0900" ref-type="bibr">[90]</xref>
are boxed in blue. The corresponding topology model for SARS-CoV ORF3A, HCoV-229E ORF4a (from the Inf-1 strain), and HCoV-NL63 ORF3 is shown. The topology model of HCoV-OC43 OFR5 was derived from recent data <xref rid="bib0620" ref-type="bibr">[34]</xref>
.</p>
</caption>
<graphic xlink:href="gr2_lrg"></graphic>
</fig>
</p>
<p id="par0040">A similar gene loss from the genome of a bat-derived ancestor occurred during the evolution of HCoV-229E. CoVs closely related to HCoV-229E were recently isolated from African hipposiderid bats <xref rid="bib0545" ref-type="bibr">[19]</xref>
, and a CoV belonging to the same species as HCoV-229E had been described in captive alpacas suffering from an acute respiratory syndrome <xref rid="bib0550" ref-type="bibr">20</xref>
, <xref rid="bib0555" ref-type="bibr">21</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
A). Analysis of these viral genomes indicated that, compared to HCoV-229E, they carry an additional ORF at the genomic 3’ end <xref rid="bib0550" ref-type="bibr">[20]</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). This ORF, which is designated ORF8 but shares no <bold>homology</bold>
with the homonymous SARS-CoV gene, has unknown function and shows limited similarities to any other CoV gene <xref rid="bib0550" ref-type="bibr">[20]</xref>
. We analyzed the sequences of recently identified alpha-CoVs from camels <xref rid="bib0560" ref-type="bibr">[22]</xref>
and found that ORF8 is encoded by these viruses, as well (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). Thus, it is presently unknown whether the loss of ORF8 conferred some advantage during the host shift to humans or, as in the case of ORF8 in SARS-CoV, it became dispensable in the human host.</p>
<p id="par0045">Another interesting feature of some CoVs is that they encode <bold>phosphodiesterases</bold>
(<bold>PDEs</bold>
) (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). These viral enzymes cleave 2’,5’-oligoadenylate, the product of OAS proteins, to prevent activation of the cellular endoribonuclease RNase L and consequently block interferon (IFN)-induced antiviral responses <xref rid="bib0565" ref-type="bibr">[23]</xref>
. The PDE activity in the mouse hepatitis virus (MHV) NS2a protein is critical for hepatovirulence <xref rid="bib0565" ref-type="bibr">[23]</xref>
. HCoV-OC43, as well as other lineage A nonhuman beta-CoVs, encode NS2a proteins that are characterized by a high degree of sequence similarity to the MHV PDE (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). A protein with structure and sequence homology to NS2a is also encoded by an unrelated virus, Group A rotavirus. In this case the PDE activity resides in the C-terminal portion of VP3, a virulence factor <xref rid="bib0570" ref-type="bibr">[24]</xref>
. Interestingly, both VP3 and NS2a show two motifs that are characteristic of the 2H-PDE family and share very little sequence similarity to the PDE domain of a cellular protein, AKAP7 <xref rid="bib0570" ref-type="bibr">[24]</xref>
(<xref rid="fig2" ref-type="fig">Figure 2</xref>
B). AKAP7 and the viral PDEs display structural homology (<xref rid="fig2" ref-type="fig">Figure 2</xref>
B), and murine AKAP7 can complement an inactive MHV NS2a gene <xref rid="bib0575" ref-type="bibr">[25]</xref>
. From an evolutionary standpoint, these observations suggest that: (i) beta-CoVs and rotaviruses have independently acquired PDE activities; and (ii) AKAP7 served as the source gene in both viral genera (<xref rid="fig2" ref-type="fig">Figure 2</xref>
B). More recently, a PDE activity was also discovered in the NS4b protein of MERS-CoV (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B) and other lineage C beta-CoVs <xref rid="bib0580" ref-type="bibr">[26]</xref>
. Similar to those in lineage A beta-CoVs and rotavirus, NS4b belongs to the 2H-phosphoesterase family and displays a predicted structure homologous to AKAP7 <xref rid="bib0580" ref-type="bibr">[26]</xref>
(<xref rid="fig2" ref-type="fig">Figure 2</xref>
B). It remains to be determined whether NS4b was acquired by capturing a vertebrate AKAP7, but the observation that distinct viruses acquired, most likely independently, a PDE activity underscores the importance of these enzymes for viral fitness.</p>
<p id="par0050">It was recently proposed that CoVs (and other viruses) stole additional genes from their hosts <xref rid="bib0585" ref-type="bibr">[27]</xref>
. <bold>Hemagglutinin-esterases</bold>
(<bold>HEs</bold>
) are encoded by lineage A beta-CoVs (e.g., HCoV-HKU1 and HCoV-OC43) (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B), as well as influenza C virus and toroviruses. Structural analysis suggested that these viral enzymes derive from an ancestral host <bold>lectin</bold>
, although it is unclear whether acquisition occurred in an ancestral virus followed by speciation or multiple times <xref rid="bib0585" ref-type="bibr">[27]</xref>
. Incidentally, the N-terminal domain of the CoV spike protein is also believed to derive from a cellular lectin <xref rid="bib0590" ref-type="bibr">[28]</xref>
. Unlike the influenza virus C enzyme, CoV HEs lack membrane-fusion activity and are accessory to the spike protein by serving primarily as receptor-destroying enzymes (RDE) – that is, they aid viral detachment from carbohydrates present on infected cells <xref rid="bib0595" ref-type="bibr">29</xref>
, <xref rid="bib0600" ref-type="bibr">30</xref>
. In fact, HEs are present only in the genome of lineage A beta-CoVs, most of which use sialic acids as coreceptors <xref rid="bib0455" ref-type="bibr">[1]</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). These observations suggest that sialic acid-binding spike proteins coevolved with HE genes serving as RDEs. This hypothesis is supported by the observation that the MHV spike protein evolved from an ancestral sugar-binding preference to a protein-binding mode and that several MHV strains lost expression of HE <xref rid="bib0585" ref-type="bibr">27</xref>
, <xref rid="bib0590" ref-type="bibr">28</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B).</p>
<p id="par0055">Finally, it is important to notice that artificial selection can lead to unintended changes in viral genomes. Such changes most likely result from passages in culture that, on one hand, relieve the virus from pressures exerted <italic>in vivo</italic>
(e.g., by the host immune system) and, on the other hand, derive from viral adaptation to the <italic>in vitro</italic>
system. An example of these effects is the loss of a full-length ORF4 in the HCoV-229E prototype strain which, due to a two-nucleotide deletion, has a split gene, encoding two proteins (ORF4a and ORF4b) <xref rid="bib0605" ref-type="bibr">31</xref>
, <xref rid="bib0610" ref-type="bibr">32</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). Conversely, clinical isolates display a full-length ORF4 sequence <xref rid="bib0610" ref-type="bibr">[32]</xref>
. An intact ORF4 is also observed in bat and camel viruses related to HCoV-229E <xref rid="bib0545" ref-type="bibr">19</xref>
, <xref rid="bib0560" ref-type="bibr">22</xref>
, whereas the alpaca alpha-CoV displays a one-nucleotide insertion, resulting in a frameshift <xref rid="bib0550" ref-type="bibr">[20]</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). The availability of only a single alpaca CoV genome makes it impossible to determine whether the inserted sequence is representative of the alpaca CoV population or, else, if it represents a sequencing error.</p>
<p id="par0060">Overall, these observations suggest that loss of full-length ORF4 is a result of passaging in cell culture, a process that often generates attenuated viruses. An interesting finding on the role of ORF4a came from the observation that its protein product regulates virus production <italic>in vitro</italic>
by functioning as a <bold>viroporin</bold>
<xref rid="bib0615" ref-type="bibr">[33]</xref>
. Most likely, the same function is performed by the full-length ORF4 as well.</p>
<p id="par0065">Viroporins were also detected in SARS-CoV, HCoV-OC43, and HCoV-NL63 <xref rid="bib0620" ref-type="bibr">34</xref>
, <xref rid="bib0625" ref-type="bibr">35</xref>
(<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). As expected, given the relatedness of the two viruses, the proteins from HCoV-NL63 and HCoV-229E share substantial sequence similarity. Limited similarity is also observed with the SARS-CoV protein, especially in the first and second transmembrane regions, suggesting either a common origin or independent acquisition followed by convergent optimization of residues in the transmembrane helices (<xref rid="fig2" ref-type="fig">Figure 2</xref>
C). Conversely, the HCoV-OC43 protein (encoded by ORF5, originally denoted NS12.9) is unrelated to the other CoV viroporins, both in terms of sequence and of domain topology <xref rid="bib0620" ref-type="bibr">[34]</xref>
(<xref rid="fig2" ref-type="fig">Figure 2</xref>
C). A protein homologous to the HCoV-OC43 viroporin is instead encoded by MHV (accessory protein NS5a) and functions as an antagonist of IFN-induced antiviral responses <xref rid="bib0620" ref-type="bibr">34</xref>
, <xref rid="bib0630" ref-type="bibr">36</xref>
. Whether the HCoV-OC43 viroporin has the same IFN-antagonizing activity remains to be investigated; however, mutant viruses lacking ORF5 display growth defects <italic>in vitro</italic>
and <italic>in vivo</italic>
, as well as reduced virulence in mice <xref rid="bib0620" ref-type="bibr">[34]</xref>
. Interestingly, the viroporins from SARS-CoV, HCoV-NL63, and HCoV-229E can complement the viroporin-defective mutant HCoV-OC43 <italic>in vitro</italic>
<xref rid="bib0620" ref-type="bibr">[34]</xref>
. Thus, the conserved function of CoV viroporins was most likely attained by convergent evolution for acquisition of unrelated genes.</p>
</sec>
<sec id="sec0020"><title>Evolution of Structural and Nonstructural Proteins</title>
<p id="par0070">Clearly, CoV genomes do not only evolve by gene gains and losses, but also via subtler changes that modify protein sequences, and recombination has an important role in reassorting variants.</p>
<p id="par0075">Several excellent reviews have focused on the evolutionary history of SARS-CoV genomes in terms of recombination and natural selection <xref rid="bib0635" ref-type="bibr">37</xref>
, <xref rid="bib0640" ref-type="bibr">38</xref>
, <xref rid="bib0645" ref-type="bibr">39</xref>
; hereafter, SARS-CoV will be mentioned only to draw comparisons with other CoVs.</p>
<p id="par0080">From an evolutionary standpoint, nonstructural proteins have attracted less attention than the structural components. This is likely due to the fact that proteins exposed on the virus surface represent the preferential targets of the host immune response. Thus, analyzing and describing their variability and evolutionary dynamics has a clear relevance for the development of preventive strategies (e.g., vaccines) and of treatment options (e.g., administration of neutralizing antibodies). Moreover, structural proteins, and the S protein in particular, determine the first and essential steps in infection and most likely represent the major determinants of host and tissue tropism.</p>
<p id="par0085">In CoVs, the S protein includes two functionally distinct units: the S1 region contains an N-terminal domain (NTD) and the receptor-binding domain (RBD, also referred to as C-terminal domain or CTD), whereas the S2 region includes the fusion peptide, two heptad repeats (HR1 and HR2), and the transmembrane region (<xref rid="fig3" ref-type="fig">Figure 3</xref>
A)
<xref rid="bib0640" ref-type="bibr">[38]</xref>
. A striking feature of HCoV spike proteins is that they have adapted to use diverse cellular receptors and there is no congruence in the phylogeny of HCoV and their receptor usage. In fact, closely related viruses may use different receptors (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). For instance, HCoV-229E uses aminopeptidase N (ANPEP), whereas HCoV-NL63 exploits ACE2, this latter representing the receptor for the relatively divergent SARS-CoV (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B). It is presently unclear how these binding specificities evolved. The latest developments on this topic and, more generally, on the evolution of structural and nonstructural proteins are detailed below for the five known HCoVs.<fig id="fig3"><label>Figure 3</label>
<caption><p>Evolution at the Coronavirus (CoV)–Host Interaction Surface.(A) Schematic representation of MERS-CoV spike protein domains. Positively selected sites in MERS-CoV and other lineage C beta-CoVs are shown in red, RBD mutations emerged in the South Korean outbreak are in magenta (see text). A detail of the interaction surface between the MERS-CoV RBD and human DPP4 (PDB ID: 4F5C) is also reported. (B) Ribbon diagram of the interaction surface of human ACE2 with the spike protein of SARS-CoV (PDB ID: 2AJF) and HCoV-NL63 (PDB ID: 3KBH). The binding surface of porcine ANPEP with the TGEV spike protein (PDB ID: 4F5C) is also shown. The location of the HCoV-299E binding site on ANPEP is circled. Red denotes protein regions involved in binding.</p>
</caption>
<graphic xlink:href="gr3_lrg"></graphic>
</fig>
</p>
<sec id="sec0025"><title>MERS-CoV</title>
<p id="par0090">The evolutionary analysis of MERS-CoV is a rapidly moving field, as sequences from the latest phases of the epidemic have just become available. Analysis of an ever increasing number of viral sequences of both MERS-CoV and of related beta-CoVs revealed that genetic variability in the S gene was shaped by recombination and positive selection. In fact, both ancient and recent intra-spike recombination events were described <xref rid="bib0560" ref-type="bibr">22</xref>
, <xref rid="bib0650" ref-type="bibr">40</xref>
, <xref rid="bib0655" ref-type="bibr">41</xref>
. Interestingly, recombination events with breakpoints within the S gene occurred in camels in Saudi Arabia and originated the MERS-CoV lineage that spread to South Korea.</p>
<p id="par0095">Analysis of positive selection of MERS-CoV spike genes indicated that several adaptive variants arose in MERS-CoV and in phylogenetically related CoVs <xref rid="bib0660" ref-type="bibr">[42]</xref>
. Contrary to common expectation and to what happened during the SARS-CoV host shift to humans, positive selection did not target the RBD. In fact, most adaptive substitutions were detected in the region encompassing the heptad repeats, regions of central importance for virus cell entry (<xref rid="fig3" ref-type="fig">Figure 3</xref>
A) <xref rid="bib0660" ref-type="bibr">42</xref>
, <xref rid="bib0665" ref-type="bibr">43</xref>
. In other CoVs, variants in the heptad repeats were previously shown to affect host or tissue tropism <xref rid="bib0670" ref-type="bibr">44</xref>
, <xref rid="bib0675" ref-type="bibr">45</xref>
, <xref rid="bib0680" ref-type="bibr">46</xref>
. Interestingly, during the South Korean outbreak, MERS-CoVs that carry point mutations in the spike protein RBD emerged and rapidly spread <xref rid="bib0685" ref-type="bibr">[47]</xref>
. These viruses showed decreased binding to the cellular receptor <xref rid="bib0685" ref-type="bibr">[47]</xref>
(<xref rid="fig3" ref-type="fig">Figure 3</xref>
A). Because several immune epitopes are located in the RBD, these findings point to the possibility that MERS-CoV is evolving to avoid the binding of neutralizing antibodies, resulting in a trade-off with receptor-binding affinity <xref rid="bib0685" ref-type="bibr">[47]</xref>
. If this were the case, the phases of MERS-CoV adaptation to humans may have consisted of initial events that modulated host tropism through changes in the heptad repeats followed by the emergence of virus variants that escape immune responses. In MERS-CoV and other lineage C beta-CoVs, positive selection also targeted the nonstructural components, particularly ORF1a <xref rid="bib0690" ref-type="bibr">[48]</xref>
. Most adaptive events occurred in nsp3, a multifunctional protein which acts as a viral protease and contributes to the suppression of interferon responses through its deubiquitinating and deISGylating activities <xref rid="bib0695" ref-type="bibr">[49]</xref>
. Selection in nsp3 is ongoing among MERS-CoV isolated from humans and camels <xref rid="bib0690" ref-type="bibr">[48]</xref>
. In analogy to the S protein, though, no major selective event was found to be associated with camel-to-human transmission, although a positively selected change (R911C) in nsp3 was observed among human-derived viruses alone, suggesting that viral adaptation to our species represented the underlying pressure <xref rid="bib0690" ref-type="bibr">[48]</xref>
.</p>
</sec>
<sec id="sec0030"><title>HCoV-229E</title>
<p id="par0100">A recent analysis indicated that HCoV-229E may have recombined with the alpaca alpha-CoV virus within the S gene, as also demonstrated by the distinct phylogenetic trees for the S1 and S2 regions <xref rid="bib0545" ref-type="bibr">[19]</xref>
. Also, HCoV-229E acquired a deletion in the S gene compared to bat viruses <xref rid="bib0545" ref-type="bibr">[19]</xref>
. Recent sequencing of several of such viruses showed that this deletion is also present in the alpaca CoV S gene and in camel-derived alpha-CoVs <xref rid="bib0560" ref-type="bibr">[22]</xref>
. This finding is particularly interesting because deletions in the NTD are associated with changes in tissue tropism in TGEV (transmissible gastroenteritis virus): in this porcine virus the spike has dual tropism for the respiratory and intestinal tracts, but the N-terminally deleted variants from PRCV (porcine respiratory coronavirus) only infect the respiratory tract <xref rid="bib0700" ref-type="bibr">50</xref>
, <xref rid="bib0705" ref-type="bibr">51</xref>
. In chiroptera, CoVs are mainly restricted to the gastrointestinal tract, whereas in humans and camelids, the upper and lower respiratory airways are infected. It will be important to determine whether the S gene deletion in HCoV-229E and camelid alphaCoVs is indeed responsible for a change in tissue tropism.</p>
</sec>
<sec id="sec0035"><title>HCoV-NL63</title>
<p id="par0105">Recombination contributed to shaping the diversity of the S gene among HCoV-NL63 viruses. Recombination between an ancestral HCoV-NL63 virus and the related PEDV was also detected in the M gene that, in its 3′ portion, is more similar to PEDV than to HCoV-229E <xref rid="bib0710" ref-type="bibr">[52]</xref>
. Like SARS-CoV, HCoV-NL63 uses its RBD to bind ACE2. The binding site on the cellular receptor is the same for the two viruses but the RDBs show no sequence similarity. Interestingly, the RBDs of SARS-CoV and HCoV-NL63 do not display any structural similarity either: HCoV-NL63 contacts ACE2 with three discontinuous beta-loops, whereas SARS-CoV binds the receptor through a continuous subdomain <xref rid="bib0715" ref-type="bibr">[53]</xref>
(<xref rid="fig3" ref-type="fig">Figure 3</xref>
B). These observations suggest that the two viruses independently acquired the ability to bind the same ACE2 region via convergent evolution or that they shared an ACE2-binding ancestor long ago. Strikingly, TGEV, which is phylogenetically related to HCoV-NL63, uses two regions corresponding to the HCoV-NL63 beta-loops to bind a distinct cellular receptor, ANPEP (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
B, <xref rid="fig3" ref-type="fig">Figure 3</xref>
B) <xref rid="bib0720" ref-type="bibr">[54]</xref>
. Finally, HCoV-229E, sharing sequence homology with HCoV-NL63 and TGEV (<xref rid="fig0005" ref-type="fig">Figure 1</xref>
A), binds ANPEP, but engages a region distinct from that bound by TGEV <xref rid="bib0725" ref-type="bibr">[55]</xref>
. Overall, these data highlight the extraordinary plasticity of CoV RBDs, and their complex evolutionary dynamics whereby divergent evolution can be followed by convergent adaptation to the same receptor. This complexity is further expanded by the ability of some CoVs to use other cellular attachment molecules to complement the function of the RBD. Indeed, the S protein of HCoV-NL63 exploits heparan sulfate proteoglycans to adhere to host cells <xref rid="bib0730" ref-type="bibr">[56]</xref>
. Interestingly, a similar ability to bind heparan sulfate can be gained by MHV with relatively few <italic>in vitro</italic>
-acquired mutations in the S protein <xref rid="bib0735" ref-type="bibr">[57]</xref>
. In line with the view that heparan sulfate is an aspecific receptor, the mutant MHV viruses display expanded host tropism <xref rid="bib0735" ref-type="bibr">[57]</xref>
, highlighting the potential relevance of combinatorial receptor usage or receptor shifts for interspecies transmission.</p>
</sec>
<sec id="sec0040"><title>HCoV-OC43</title>
<p id="par0110">Recombination seems to be rampant in HCoV-OC43 viruses and contributed to originate the A to E viral genotypes, as well as viruses that do not belong to these major genotypes <xref rid="bib0740" ref-type="bibr">58</xref>
, <xref rid="bib0745" ref-type="bibr">59</xref>
, <xref rid="bib0750" ref-type="bibr">60</xref>
. To our knowledge, no study has analyzed the fitness of recombinant viruses or, more generally, of viruses belonging to distinct genotypes. Nonetheless, two reports indicated that genotype D has become predominant in the East Asian population <xref rid="bib0740" ref-type="bibr">58</xref>
, <xref rid="bib0745" ref-type="bibr">59</xref>
. Whether this is due to population acquired immunity against the older A and B genotypes or to viral features unrelated to antigenicity remains to be determined.</p>
<p id="par0115">The active recombination in HCoV-OC43 suggests that inference of natural selection is best performed by analysis of sequences belonging to the same genotype. In one such analysis, positive selection was found to act on the S gene of genotype D viruses <xref rid="bib0755" ref-type="bibr">[61]</xref>
. Interestingly, several positively selected sites with high posterior probability of positive selection are located in the NTD, which is involved in the binding of sialic acids.</p>
<p id="par0120">A positively selected site was located in the CTD, a region that has unclear function in the HCoV-OC43 S protein, as no known protein receptor has been identified to date <xref rid="bib0755" ref-type="bibr">[61]</xref>
. However, recent data from HKU1 suggest that, by analogy, a protein receptor for HCoV-OC43 may exist <xref rid="bib0760" ref-type="bibr">[62]</xref>
(see below).</p>
</sec>
<sec id="sec0045"><title>HCoV-HKU1</title>
<p id="par0125">The structure of the S protein of HKU1 was recently solved; the glycan-binding site is located in the NTD and is conserved with bovine coronavirus (BCoV) S1 <xref rid="bib0765" ref-type="bibr">[63]</xref>
. Nonetheless, antibodies against the CTD, but not those against the NTD, block HKU1 infection of human tracheal–bronchial epithelial cells, suggesting that the CTD is the major RBD, and that a protein receptor for HKU1 exists <xref rid="bib0760" ref-type="bibr">[62]</xref>
. In analogy to HCoV-NL63, glycans may mediate only the initial attachment to the host cells.</p>
<p id="par0130">A recent survey of HKU1 clinical isolates from different geographic origins indicated that most viruses from Colorado form a subclade in the HKU1 phylogeny and carry three distinctive substitutions in the S protein within the NTD, CTD, and close to the S1/S2 cleavage site (W197F, F613Y, and H716D, respectively) <xref rid="bib0770" ref-type="bibr">[64]</xref>
. It will be interesting to assess whether these differences are functional and derive from a selective process.</p>
</sec>
</sec>
<sec id="sec0050"><title>Concluding Remarks</title>
<p id="par0135">Thanks to high-throughput techniques, a large number of complete CoV genomes have become available to the scientific community, and many more will be coming in the near future. Field studies have contributed enormously to widen our knowledge on the diversity of CoVs hosted by different vertebrates, and epidemiological surveys have provided CoV sequences from distinct geographic areas and associated with different disease phenotypes. In parallel, resources have been created to store and mine these data (e.g., The Virus Pathogen Database and Analysis Resource, ViPR <xref rid="bib0775" ref-type="bibr">[65]</xref>
). These advances have allowed tracing the evolutionary history of the large and complex CoV genomes to an unprecedented detail. The emerging picture indicates that CoV genomes display high plasticity in terms of gene content and recombination. The long CoV genome expands the sequence space available for adaptive mutation, and the spike protein can adapt with relative ease to exploit different cellular receptors. These features are likely to underlie the alarming propensity of CoVs for host jumps. Despite these advances, major challenges remain (see Outstanding Questions). Efforts to underscore the viral genetic determinants that favor interspecies transmission should be pursued as an effective strategy to prevent or prepare for future HCoV emergence.<boxed-text id="tb0005"><label>Outstanding Questions</label>
<p id="par0140">Do different genotypes (arising from recombination or mutation) of the same CoV species result in distinct viral phenotypes?</p>
<p id="par0145">What is the relevance of adaptive changes in nonstructural proteins for host adaptation? And what is the role played by accessory proteins in interspecies transmission and virulence?</p>
<p id="par0150">Why do similar viruses determine very different disease phenotypes in distinct mammalian hosts? Do the viral and host genome interplay in determining disease? And to what extent?</p>
<p id="par0155">What is the distribution of CoVs in different mammalian orders? And how genetically diverse are CoVs hosted in wild or domestic mammals?</p>
<p id="par0160">Can evolutionary information be applied to develop tools to predict which viruses have greater zoonotic potential and may result in the next epidemic?</p>
</boxed-text>
</p>
</sec>
</body>
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<glossary id="glo0005"><title>Glossary</title>
<def-list id="glos0005"><def-item><term>dN</term>
<def><p>the observed number of nonsynonymous substitutions per nonsynonymous site.</p>
</def>
</def-item>
<def-item><term>dS</term>
<def><p>the observed number of synonymous substitutions per synonymous site.</p>
</def>
</def-item>
<def-item><term>Hemagglutinin-esterases (HEs)</term>
<def><p>a family of viral proteins that mediate binding to <italic>O</italic>
-acetylated sialic acids.</p>
</def>
</def-item>
<def-item><term>Homology</term>
<def><p>the relationship between elements (e.g., genes, proteins) deriving from a common ancestor.</p>
</def>
</def-item>
<def-item><term>Lectins</term>
<def><p>a group of proteins with carbohydrate recognition activity. Lectins are categorized in many distinct families depending on structural and functional properties.</p>
</def>
</def-item>
<def-item><term>Maximum likelihood (ML)</term>
<def><p>is a statistical method for estimating population parameters from a data sample. Given one or more unknown parameters and a sample data, the ML estimates of the parameters are the values maximizing the probability of obtaining the observed data.</p>
</def>
</def-item>
<def-item><term>Open reading frame (ORF)</term>
<def><p>the part of a reading frame that contains no stop codons. An ORF is a continuous stretch of nucleotide triplets that have the potential to code for a protein or a peptide.</p>
</def>
</def-item>
<def-item><term>Phosphodiesterases (PDEs)</term>
<def><p>are enzymes that break a phosphodiester bond. PDEs belonging to the 2H family are characterized by two H-Φ-[S/T]-Φ motifs (where Φ is a hydrophobic residue) separated by an average of 80 residues.</p>
</def>
</def-item>
<def-item><term>Positive selection</term>
<def><p>the accumulation of favorable amino acid-replacing substitutions, which results in more nonsynonymous changes than expected under neutrality (dN/dS>1).</p>
</def>
</def-item>
<def-item><term>Purifying selection</term>
<def><p>the elimination of deleterious amino acid-replacing substitutions, which results in fewer nonsynonymous changes than expected under neutrality (dN/dS < 1) (it is also referred to as negative selection).</p>
</def>
</def-item>
<def-item><term>Viroporins</term>
<def><p>hydrophobic viral proteins that can promote the formation of channels following insertion into the host cell membrane and oligomerization.</p>
</def>
</def-item>
</def-list>
</glossary>
</back>
</pmc>
</record>
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