Strategy To Assess Zoonotic Potential Reveals Low Risk Posed by SARS-Related Coronaviruses from Bat and Pangolin.

In the last 2 decades, pathogens originating in animals may have triggered three coronavirus pandemics, including the coronavirus disease 2019 pandemic. Thus, evaluation of the spillover risk of animal severe acute respiratory syndrome (SARS)-related coronavirus (SARSr-CoV) is important in the context of future disease preparedness. However, there is no analytical framework to assess the spillover risk of SARSr-CoVs, which cannot be determined by sequence analysis alone. Here, we established an integrity framework to evaluate the spillover risk of an animal SARSr-CoV by testing how viruses break through key human immune barriers, including viral cell tropism, replication dynamics, interferon signaling, inflammation, and adaptive immune barriers, using human ex vivo lung tissues, human airway and nasal organoids, and human lung cells. Using this framework, we showed that the two pre-emergent animal SARSr-CoVs, bat BtCoV-WIV1 and pangolin PCoV-GX, shared similar cell tropism but exhibited less replicative fitness in the human nasal cavity or airway than did SARS-CoV-2. Furthermore, these viruses triggered fewer proinflammatory responses and less cell death, yet showed interferon antagonist activity and the ability to partially escape adaptive immune barriers to SARS-CoV-2. Collectively, these animal viruses did not fully adapt to spread or cause severe diseases, thus causing successful zoonoses in humans. We believe that this experimental framework provides a path to identifying animal coronaviruses with the potential to cause future zoonoses. IMPORTANCE Evaluation of the zoonotic risk of animal SARSr-CoVs is important for future disease preparedness. However, there are misconceptions regarding the risk of animal viruses. For example, an animal SARSr-CoV could readily infect humans. Alternately, human receptor usage may result in spillover risk. Here, we established an analytical framework to assess the zoonotic risk of SARSr-CoV by testing a series of virus-host interaction profiles. Our data showed that the pre-emergent bat BtCoV-WIV1 and pangolin PCoV-GX were less adapted to humans than SARS-CoV-2 was, suggesting that it may be extremely rare for animal SARSr-CoVs to break all bottlenecks and cause successful zoonoses.

A bat MERS-like coronavirus circulates in pangolins and utilizes human DPP4 and host proteases for cell entry.

It is unknown whether pangolins, the most trafficked mammals, play a role in the zoonotic transmission of bat coronaviruses. We report the circulation of a novel MERS-like coronavirus in Malayan pangolins, named Manis javanica HKU4-related coronavirus (MjHKU4r-CoV). Among 86 animals, four tested positive by pan-CoV PCR, and seven tested seropositive (11 and 12.8%). Four nearly identical (99.9%) genome sequences were obtained, and one virus was isolated (MjHKU4r-CoV-1). This virus utilizes human dipeptidyl peptidase-4 (hDPP4) as a receptor and host proteases for cell infection, which is enhanced by a furin cleavage site that is absent in all known bat HKU4r-CoVs. The MjHKU4r-CoV-1 spike shows higher binding affinity for hDPP4, and MjHKU4r-CoV-1 has a wider host range than bat HKU4-CoV. MjHKU4r-CoV-1 is infectious and pathogenic in human airways and intestinal organs and in hDPP4-transgenic mice. Our study highlights the importance of pangolins as reservoir hosts of coronaviruses poised for human disease emergence.

Induction of Significant Neutralizing Antibodies against SARS-CoV-2 by a Highly Attenuated Pangolin Coronavirus Variant with a 104nt Deletion at the 3'-UTR.

SARS-CoV-2 related coronaviruses (SARS-CoV-2r) from Guangdong and Guangxi pangolins have been implicated in the emergence of SARS-CoV-2 and future pandemics. We previously reported the culture of a SARS-CoV-2r GX_P2V from Guangxi pangolins. Here we report the GX_P2V isolate rapidly adapted to Vero cells by acquiring two genomic mutations: an alanine to valine substitution in the nucleoprotein and a 104-nucleotide deletion in the hypervariable region (HVR) of the 3'-terminus untranslated region (3'-UTR). We further report the characterization of the GX_P2V variant (renamed GX_P2V(short_3UTR)) in in vitro and in vivo infection models. In cultured Vero, BGM and Calu-3 cells, GX_P2V(short_3UTR) had similar robust replication kinetics, and consistently produced minimum cell damage. GX_P2V(short_3UTR) infected golden hamsters and BALB/c mice but was highly attenuated. Golden hamsters infected intranasally had a short duration of productive infection in pulmonary, not extrapulmonary, tissues. These productive infections induced neutralizing antibodies against pseudoviruses of GX_P2V and SARS-CoV-2. Collectively, our data show that the GX_P2V(short_3UTR) is highly attenuated in in vitro and in vivo infection models. Attenuation of the variant is likely partially due to the 104-nt deletion in the HVR in the 3'-UTR. This study furthers our understanding of pangolin coronaviruses pathogenesis and provides novel insights for the design of live attenuated vaccines against SARS-CoV-2.

Detecting wildlife trafficking in images from online platforms: A test case using deep learning with pangolin images

E-commerce has become a booming market for wildlife trafficking, as online platforms are increasingly more accessible and easier to navigate by sellers, while still lacking adequate supervision. Artificial intelligence models, and specifically deep learning, have been emerging as promising tools for the automated analysis and monitoring of digital online content pertaining to wildlife trade. Here, we used and fine-tuned freely available artificial intelligence models (i.e., convolutional neural networks) to understand the potential of these models to identify instances of wildlife trade. We specifically focused on pangolin species, which are among the most trafficked mammals globally and receiving increasing trade attention since the COVID-19 pandemic. Our convolutional neural networks were trained using online images (available from iNaturalist, Flickr and Google) displaying both traded and non-traded pangolin settings. The trained models showed great performances, being able to identify over 90 % of potential instances of pangolin trade in the considered imagery dataset. These instances included the showcasing of pangolins in popular marketplaces (e.g., wet markets and cages), and the displaying of commonly traded pangolin parts and derivates (e.g., scales) online. Nevertheless, not all instances of pangolin trade could be identified by our models (e.g., in images with dark colours and shaded areas), leaving space for further research developments. The methodological developments and results from this exploratory study represent an advancement in the monitoring of online wildlife trade. Complementing our approach with other forms of online data, such as text, would be a way forward to deliver more robust monitoring tools for online trafficking. © 2023 The Author(s)

The emergence, spread and vanishing of a French SARS-CoV-2 variant exemplifies the fate of RNA virus epidemics and obeys the Mistigri rule.

The nature and dynamics of mutations associated with the emergence, spread, and vanishing of SARS-CoV-2 variants causing successive waves are complex. We determined the kinetics of the most common French variant ("Marseille-4") for 10 months since its onset in July 2020. Here, we analyzed and classified into subvariants and lineages 7453 genomes obtained by next-generation sequencing. We identified two subvariants, Marseille-4A, which contains 22 different lineages of at least 50 genomes, and Marseille-4B. Their average lifetime was 4.1 ± 1.4 months, during which 4.1 ± 2.6 mutations accumulated. Growth rate was 0.079 ± 0.045, varying from 0.010 to 0.173. Most of the lineages exhibited a bell-shaped distribution. Several beneficial mutations at unpredicted sites initiated a new outbreak, while the accumulation of other mutations resulted in more viral heterogenicity, increased diversity and vanishing of the lineages. Marseille-4B emerged when the other Marseille-4 lineages vanished. Its ORF8 gene was knocked out by a stop codon, as reported in SARS-CoV-2 of mink and in the Alpha variant. This subvariant was associated with increased hospitalization and death rates, suggesting that ORF8 is a nonvirulence gene. We speculate that the observed heterogenicity of a lineage may predict the end of the outbreak.

A SARS-CoV-2-Related Virus from Malayan Pangolin Causes Lung Infection without Severe Disease in Human ACE2-Transgenic Mice.

Coronavirus disease 2019 (COVID-19), which is caused by the novel coronavirus severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is the most severe emerging infectious disease in the current century. The discovery of SARS-CoV-2-related coronaviruses (SARSr-CoV-2) in bats and pangolins in South Asian countries indicates that SARS-CoV-2 likely originated from wildlife. To date, two SARSr-CoV-2 strains have been isolated from pangolins seized in Guangxi and Guangdong by the customs agency of China, respectively. However, it remains unclear whether these viruses cause disease in animal models and whether they pose a transmission risk to humans. In this study, we investigated the biological features of a SARSr-CoV-2 strain isolated from a smuggled Malayan pangolin (Manis javanica) captured by the Guangxi customs agency, termed MpCoV-GX, in terms of receptor usage, cell tropism, and pathogenicity in wild-type BALB/c mice, human angiotensin-converting enzyme 2 (ACE2)-transgenic mice, and human ACE2 knock-in mice. We found that MpCoV-GX can utilize ACE2 from humans, pangolins, civets, bats, pigs, and mice for cell entry and infect cell lines derived from humans, monkeys, bats, minks, and pigs. The virus could infect three mouse models but showed limited pathogenicity, with mild peribronchial and perivascular inflammatory cell infiltration observed in lungs. Our results suggest that this SARSr-CoV-2 virus from pangolins has the potential for interspecies infection, but its pathogenicity is mild in mice. Future surveillance among these wildlife hosts of SARSr-CoV-2 is needed to monitor variants that may have higher pathogenicity and higher spillover risk. IMPORTANCE SARS-CoV-2, which likely spilled over from wildlife, is the third highly pathogenic human coronavirus. Being highly transmissible, it is perpetuating a pandemic and continuously posing a severe threat to global public health. Several SARS-CoV-2-related coronaviruses (SARSr-CoV-2) in bats and pangolins have been identified since the SARS-CoV-2 outbreak. It is therefore important to assess their potential of crossing species barriers for better understanding of their risk of future emergence. In this work, we investigated the biological features and pathogenicity of a SARSr-CoV-2 strain isolated from a smuggled Malayan pangolin, named MpCoV-GX. We found that MpCoV-GX can utilize ACE2 from 7 species for cell entry and infect cell lines derived from a variety of mammalian species. MpCoV-GX can infect mice expressing human ACE2 without causing severe disease. These findings suggest the potential of cross-species transmission of MpCoV-GX, and highlight the need of further surveillance of SARSr-CoV-2 in pangolins and other potential animal hosts.

Detecting wildlife trafficking in images from online platforms: A test case using deep learning with pangolin images

E-commerce has become a booming market for wildlife trafficking, as online platforms are increasingly more accessible and easier to navigate by sellers, while still lacking adequate supervision. Artificial intelligence models, and specifically deep learning, have been emerging as promising tools for the automated analysis and monitoring of digital online content pertaining to wildlife trade. Here, we used and fine-tuned freely available artificial intelligence models (i.e., convolutional neural networks) to understand the potential of these models to identify instances of wildlife trade. We specifically focused on pangolin species, which are among the most trafficked mammals globally and receiving increasing trade attention since the COVID-19 pandemic. Our convolutional neural networks were trained using online images (available from iNaturalist, Flickr and Google) displaying both traded and non-traded pangolin settings. The trained models showed great performances, being able to identify over 90 % of potential instances of pangolin trade in the considered imagery dataset. These instances included the showcasing of pangolins in popular marketplaces (e.g., wet markets and cages), and the displaying of commonly traded pangolin parts and derivates (e.g., scales) online. Nevertheless, not all instances of pangolin trade could be identified by our models (e.g., in images with dark colours and shaded areas), leaving space for further research developments. The methodological developments and results from this exploratory study represent an advancement in the monitoring of online wildlife trade. Complementing our approach with other forms of online data, such as text, would be a way forward to deliver more robust monitoring tools for online trafficking.

Cross-reaction of current available SARS-CoV-2 MAbs against the pangolin-origin coronavirus GX/P2V/2017.

Since the identification of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiological agent of COVID-19, multiple SARS-CoV-2-related viruses have been characterized, including pangolin-origin GD/1/2019 and GX/P2V/2017. Our previous study indicated that both viruses have the potential to infect humans. Here, we find that CB6 (commercial name etesevimab), a COVID-19 therapeutic monoclonal antibody (MAb) developed by our group, efficiently inhibits GD/1/2019 but not GX/P2V/2017. A total of 50 SARS-CoV-2 MAbs divided into seven groups based on their receptor-binding domain (RBD) epitopes, together with the COVID-19 convalescent sera, are systematically screened for their cross-binding and cross-neutralizing properties against GX/P2V/2017. We find that GX/P2V/2017 displays substantial immune difference from SARS-CoV-2. Furthermore, we solve two complex structures of the GX/P2V/2017 RBD with MAbs belonging to RBD-1 and RBD-5, providing a structural basis for their different antigenicity. These results highlight the necessity for broad anti-coronavirus countermeasures and shed light on potential therapeutic targets.

Insertion/deletion hotspots in the Nsp2, Nsp3, S1, and ORF8 genes of SARS-related coronaviruses.

The genome of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contains many insertions/deletions (indels) from the genomes of other SARS-related coronaviruses. Some of the identified indels have recently reported to involve relatively long segments of 10-300 consecutive bases and with diverse RNA sequences around gaps between virus species, both of which are different characteristics from the classical shorter in-frame indels. These non-classical complex indels have been identified in non-structural protein 3 (Nsp3), the S1 domain of the spike (S), and open reading frame 8 (ORF8). To determine whether the occurrence of these non-classical indels in specific genomic regions is ubiquitous among broad species of SARS-related coronaviruses in different animal hosts, the present study compared SARS-related coronaviruses from humans (SARS-CoV and SARS-CoV-2), bats (RaTG13 and Rc-o319), and pangolins (GX-P4L), by performing multiple sequence alignment. As a result, indel hotspots with diverse RNA sequences of different lengths between the viruses were confirmed in the Nsp2 gene (approximately 2500-2600 base positions in the overall 29,900 bases), Nsp3 gene (approximately 3000-3300 and 3800-3900 base positions), N-terminal domain of the spike protein (21,500-22,500 base positions), and ORF8 gene (27,800-28,200 base positions). Abnormally high rate of point mutations and complex indels in these regions suggest that the occurrence of mutations in these hotspots may be selectively neutral or even benefit the survival of the viruses. The presence of such indel hotspots has not been reported in different human SARS-CoV-2 strains in the last 2 years, suggesting a lower rate of indels in human SARS-CoV-2. Future studies to elucidate the mechanisms enabling the frequent development of long and complex indels in specific genomic regions of SARS-related coronaviruses would offer deeper insights into the process of viral evolution.

A Study on the Nature of SARS-CoV-2 Using the Shell Disorder Models: Reproducibility, Evolution, Spread, and Attenuation.

The basic tenets of the shell disorder model (SDM) as applied to COVID-19 are that the harder outer shell of the virus shell (lower PID-percentage of intrinsic disorder-of the membrane protein M, PID_M) and higher flexibility of the inner shell (higher PID of the nucleocapsid protein N, PID_N) are correlated with the contagiousness and virulence, respectively. M protects the virion from the anti-microbial enzymes in the saliva and mucus. N disorder is associated with the rapid replication of the virus. SDM predictions are supported by two experimental observations. The first observation demonstrated lesser and greater presence of the Omicron particles in the lungs and bronchial tissues, respectively, as there is a greater level of mucus in the bronchi. The other observation revealed that there are lower viral loads in 2017-pangolin-CoV, which is predicted to have similarly low PID_N as Omicron. The abnormally hard M, which is very rarely seen in coronaviruses, arose from the fecal-oral behaviors of pangolins via exposure to buried feces. Pangolins provide an environment for coronavirus (CoV) attenuation, which is seen in Omicron. Phylogenetic study using M shows that COVID-19-related bat-CoVs from Laos and Omicron are clustered in close proximity to pangolin-CoVs, which suggests the recurrence of interspecies transmissions. Hard M may have implications for long COVID-19, with immune systems having difficulty degrading viral proteins/particles.

Molecular Characterization of Whole-Genome SARS-CoV-2 from the First Suspected Cases of the XE Variant in the Lazio Region, Italy.

We report two cases of SARS-CoV-2 recombinant variant XE detected in nasopharyngeal swabs (NPS) of hospitalized patients with no evident epidemiological link in Lazio, Central Italy. Whole-Genome Sequencing (WGS) performed on an Ion Torrent GSS5 platform according to Italian flash surveys showed genomes corresponding to the PANGOLIN unclassified lineage and the Nextclade XE clade. Further analyses were then carried out to investigate more deeply the genetic characteristics of these XE-like sequences. When phylogenetic trees, by using IQ-TREE, were built splitting the genome into two regions according to the putative XE recombination site, the upstream and downstream regions were seen to be clustered near BA.1 and BA.2 sequences, respectively. However, our XE-like sequences clustered separately, with a significant bootstrap, from the classified European and Italian XE strains, although the recombination site between BA.1 and BA.2 was identified at the nucleotide site 11556 by RDP4 software, consistent with the putative XE breakpoint. These findings show the risk of the introduction of novel recombinant variants of SARS-CoV-2 and the existence of XE-like strains, phylogenetically separated, that could make their exact taxonomy difficult. It follows the need for continued SARS-CoV-2 surveillance by WGS.

CITES as an International Instrument Against Pandemics that Threaten Human Life

The COVID-19 pandemic caused by the SARS-CoV-2 virus requires revisiting many global issues, One of these being is the wildlife trade and its adverse effects. Scientific studies have revealed the possibility that the SARS-CoV-2, a zoonotic virus, was transmitted to humans through an endangered wild species (pangolin). Despite pangolins being protected by strict rules under the Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) they are still the subject of illegal trade. CITES is a comprehensive global convention regulating trade of endangered wildlife species. The convention does not contain any regulations for preventing diseases that threaten human life. However, CITES can indirectly play a role by regulating international trade. This article discusses the possible role CITES and its mechanisms have in preventing SARS-CoV-2 and similar zoonotic viruses. For this purpose, the study examines the proposals for revisions to CITES, including the integration of species shipment regulations and the addition of a new appendix involving animal health. Moreover, the study evaluates proposals to completely ban the trade of wildlife species and the possibility of having CITES intervene in domestic trade. Lastly, the article discusses proposals for recognizing illegal trade as a serious international crime. The main purpose of CITES is to regulate and protect the trade of endangered wild species. No matter what future arrangements are made, acting very meticulously will be necessary by taking into account the concerns of state parties, as this convention depends on states implementing the arrangements.

Cross-Neutralization of SARS-CoV-2-Specific Antibodies in Convalescent and Immunized Human Sera against the Bat and Pangolin Coronaviruses.

Coronaviruses isolated from bats and pangolins are closely related to SARS-CoV-2, the causative agent of COVID-19. These so-called sarbecoviruses are thought to pose an acute pandemic threat. As SARS-CoV-2 infection and vaccination have become more widespread, it is not known whether neutralizing antibodies to SARS-CoV-2 can cross-neutralize coronaviruses transmitted by bats or pangolins. In this study, we analyzed antibody-mediated neutralization with serum samples from COVID-19 patients (n = 31) and those immunized with inactivated SARS-CoV-2 vaccines (n = 20) against lentivirus-based pseudo-viruses carrying the spike derived from ancestral SARS-CoV-2, bat (RaTG13 or RshSTT182), or pangolin coronaviruses (PCoV-GD). While SARS-CoV-2, PCoV-GD, and RshSTT182 spikes could promote cell-cell fusion in VeroE6 cells, the RaTG13 spike did not. RaTG13, on the other hand, was able to induce cell-cell fusion in cells overexpressing ACE2. Dramatic differences in neutralization activity were observed, with the highest level observed for RaTG13, which was even significantly higher than SARS-CoV-2, PCoV-GD, and RshSTT182 pseudo-viruses. Interestingly, pseudo-viruses containing the chimeric protein in which the receptor-binding domain (RBD) of PCoV-GD spike was replaced by that of RaTG13 could be strongly neutralized, whereas those carrying RaTG13 with the RBD of PCoV-GD were significantly less neutralized. Because the high neutralizing activity against RaTG13 appears to correlate with its low affinity for binding to the human ACE2 receptor, our data presented here might shed light on how pre-existing immunity to SARS-CoV-2 might contribute to protection against related sarbecoviruses with potential spillover to the human host.

Role of the Pangolin in Origin of SARS-CoV-2: An Evolutionary Perspective.

After the recent emergence of SARS-CoV-2 infection, unanswered questions remain related to its evolutionary history, path of transmission or divergence and role of recombination. There is emerging evidence on amino acid substitutions occurring in key residues of the receptor-binding domain of the spike glycoprotein in coronavirus isolates from bat and pangolins. In this article, we summarize our current knowledge on the origin of SARS-CoV-2. We also analyze the host ACE2-interacting residues of the receptor-binding domain of spike glycoprotein in SARS-CoV-2 isolates from bats, and compare it to pangolin SARS-CoV-2 isolates collected from Guangdong province (GD Pangolin-CoV) and Guangxi autonomous regions (GX Pangolin-CoV) of South China. Based on our comparative analysis, we support the view that the Guangdong Pangolins are the intermediate hosts that adapted the SARS-CoV-2 and represented a significant evolutionary link in the path of transmission of SARS-CoV-2 virus. We also discuss the role of intermediate hosts in the origin of Omicron.

Human parainfluenza 3 and respiratory syncytial viruses detected in pangolins.

Pangolins have gained increasing global attention owing to their public health significance as potential zoonotic hosts since the identification of SARS-CoV-2-related viruses in them. Moreover, these animals could carry other respiratory viruses. In this study, we investigated the virome composition of 16 pangolins that died in 2018 with symptoms of pneumonia using metagenomic approaches. A total of eight whole virus sequences belonging to the Paramyxoviridae or Pneumoviridae families were identified, including one human parainfluenza virus 3, one human respiratory syncytial virus A, and six human respiratory syncytial virus B. All of these sequences showed more than 99% nucleotide identity with the virus isolated from humans at the whole-genome level and clustered with human viruses in the phylogenetic tree. Our findings provide evidence that pangolins are susceptible to HPIV3 and HRSV infection. Therefore, public awareness of the threat of pangolin-borne pathogens is essential to stop their human consumption and to prevent zoonotic viral transmission.

Recombination in Coronaviruses, with a Focus on SARS-CoV-2.

Recombination is a common evolutionary tool for RNA viruses, and coronaviruses are no exception. We review here the evidence for recombination in SARS-CoV-2 and reconcile nomenclature for recombinants, discuss their origin and fitness, and speculate how recombinants could make a difference in the future of the COVID-19 pandemics.

Origin of novel coronavirus causing COVID-19: A computational biology study using artificial intelligence.

Origin of the COVID-19 virus (SARS-CoV-2) has been intensely debated in the scientific community since the first infected cases were detected in December 2019. The disease has caused a global pandemic, leading to deaths of thousands of people across the world and thus finding origin of this novel coronavirus is important in responding and controlling the pandemic. Recent research results suggest that bats or pangolins might be the hosts for SARS-CoV-2 based on comparative studies using its genomic sequences. This paper investigates the SARS-CoV-2 origin by using artificial intelligence (AI)-based unsupervised learning algorithms and raw genomic sequences of the virus. More than 300 genome sequences of COVID-19 infected cases collected from different countries are explored and analysed using unsupervised clustering methods. The results obtained from various AI-enabled experiments using clustering algorithms demonstrate that all examined SARS-CoV-2 genomes belong to a cluster that also contains bat and pangolin coronavirus genomes. This provides evidence strongly supporting scientific hypotheses that bats and pangolins are probable hosts for SARS-CoV-2. At the whole genome analysis level, our findings also indicate that bats are more likely the hosts for the COVID-19 virus than pangolins.

Wildlife as a Source of SARS-CoV-2 Evolution- A Review

Coronavirus consists of single-stranded, enveloped and RNA virus, largest genome among all RNA viruses and has 4 proteins i.e. envelope, spike, nucleocapsid and membrane. Coronaviruses are classified into 4 genera: Alphacoronavirus, Betacoronavirus, Gammacoronavirus and Deltacoronavirus. Betacoronavirus most probably originated from bats and the virus may have jumped to avian species and evolved as Deltacoronavirus group. The avian coronaviruses jumped among other avian species, giving rise to Gammacoronavirus from Deltacoronavirus, while Betacoronavirus may have given rise to Alphacoronavirus. It is known that SARS-CoV-2 belongs to Betacoronavirus. This most similar virus is verified in bat and Malayan Pangolin. Analysis showed that SARS-CoV-2 most probably originated by recombination of both bat and pangolin viruses. Viral protein seroconversion and viral specific nucleotide positive documented in all COVID-19 patients tested provides confirmation of a link between the presence of this virus and the disease. Copyright 2022 by the authors.

Review Article - Wildlife as a Source of SARS-CoV-2 Evolution-A Review

Coronavirus consists of single-stranded, enveloped and RNA virus, largest genome among all RNA viruses and has 4 proteins i.e. envelope, spike, nucleocapsid and membrane. Coronaviruses are classified into 4 genera: Alphacoronavirus, Betacoronavirus, Gammacoronavirus and Deltacoronavirus. Betacoronavirus most probably originated from bats and the virus may have jumped to avian species and evolved as Deltacoronavirus group. The avian coronaviruses jumped among other avian species, giving rise to Gammacoronavirus from Deltacoronavirus, while Betacoronavirus may have given rise to Alphacoronavirus. It is known that SARS-CoV-2 belongs to Betacoronavirus. This most similar virus is verified in bat and Malayan Pangolin. Analysis showed that SARS-CoV-2 most probably originated by recombination of both bat and pangolin viruses. Viral protein seroconversion and viral specific nucleotide positive documented in all COVID-19 patients tested provides confirmation of a link between the presence of this virus and the disease.

Erratum: Genomic and Epidemiological Analysis of SARS-CoV-2 Viruses in Sri Lanka.

[This corrects the article DOI: 10.3389/fmicb.2021.722838.].