Literature DB >> 34480864

The origins of SARS-CoV-2: A critical review.

Edward C Holmes1, Stephen A Goldstein2, Angela L Rasmussen3, David L Robertson4, Alexander Crits-Christoph5, Joel O Wertheim6, Simon J Anthony7, Wendy S Barclay8, Maciej F Boni9, Peter C Doherty10, Jeremy Farrar11, Jemma L Geoghegan12, Xiaowei Jiang13, Julian L Leibowitz14, Stuart J D Neil15, Tim Skern16, Susan R Weiss17, Michael Worobey18, Kristian G Andersen19, Robert F Garry20, Andrew Rambaut21.   

Abstract

Since the first reports of a novel severe acute respiratory syndrome (SARS)-like coronavirus in December 2019 in Wuhan, China, there has been intense interest in understanding how severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) emerged in the human population. Recent debate has coalesced around two competing ideas: a "laboratory escape" scenario and zoonotic emergence. Here, we critically review the current scientific evidence that may help clarify the origin of SARS-CoV-2.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; SARS-CoV-2; evolution; origins; zoonosis

Mesh:

Year:  2021        PMID: 34480864      PMCID: PMC8373617          DOI: 10.1016/j.cell.2021.08.017

Source DB:  PubMed          Journal:  Cell        ISSN: 0092-8674            Impact factor:   41.582


Evidence supporting a zoonotic origin of severe acute respiratory syndrome coronavirus 2

Coronaviruses have long been known to present a high pandemic risk. Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the ninth documented coronavirus that infects humans and the seventh identified in the last 20 years (Lednicky et al., 2021; Vlasova et al., 2021). All previous human coronaviruses have zoonotic origins, as have the vast majority of human viruses. The emergence of SARS-CoV-2 bears several signatures of these prior zoonotic events. It displays clear similarities to SARS-CoV that spilled over into humans in Foshan, Guangdong province, China in November 2002, and again in Guangzhou, Guangdong province in 2003 (Xu et al., 2004). Both these SARS-CoV emergence events were associated with markets selling live animals and involved species, particularly civets and raccoon dogs (Guan et al., 2003), that were also sold live in Wuhan markets in 2019 (Xiao et al., 2021) and are known to be susceptible to SARS-CoV-2 infection (Freuling et al., 2020). Animal traders working in 2003, without a SARS diagnosis, were documented to have high levels of immunoglobulin G (IgG) to SARS-CoV (13% overall and >50% for traders specializing in civets) (Centers for Disease Control and Prevention, 2003). Subsequent serological surveys found ∼3% positivity rates to SARS-related coronaviruses (SARSr-CoV) in residents of Yunnan province living close to bat caves (Wang et al., 2018), demonstrating regular exposure in rural locations. The closest known relatives to both SARS-CoV and SARS-CoV-2 are viruses from bats in Yunnan, although animals from this province have been preferentially sampled. For both SARS-CoV and SARS-CoV-2, there is a considerable geographic gap between Yunnan and the location of the first human cases, highlighting the difficulty in identifying the exact pathway of virus emergence and the importance of sampling beyond Yunnan. SARS-CoV-2 also shows similarities to the four endemic human coronaviruses: human coronavirus-OC43 (HCoV-OC43), human coronavirus-HKU1 (HCoV-HKU1), human coronavirus-229E (HCoV-229E), and human coronavirus NL63 (HCoV-NL63). These viruses have zoonotic origins, and the circumstances of their emergence are unclear. In direct parallel to SARS-CoV-2, HCoV-HKU1, which was first described in a large Chinese city (Shenzhen, Guangdong) in the winter of 2004, has an unknown animal origin, contains a furin cleavage site in its spike protein and was originally identified in a case of human pneumonia (Woo et al., 2005). Based on epidemiological data, the Huanan market in Wuhan was an early and major epicenter of SARS-CoV-2 infection. Two of the three earliest documented coronavirus disease 2019 (COVID-19) cases were directly linked to this market selling wild animals, as were 28% of all cases reported in December 2019 (World Health Organization, 2021). Overall, 55% of cases during December 2019 had an exposure to either the Huanan or other markets in Wuhan, with these cases more prevalent in the first half of that month (World Health Organization, 2021). Examination of the locations of early cases shows that most cluster around the Huanan market, located north of the Yangtze river (Figures 1 B–1E), although case reporting may be subject to sampling biases reflecting the density and age structure of the population in central Wuhan, and the exact location of some early cases is uncertain. These districts were also the first to exhibit excess pneumonia deaths in January 2020 (Figures 1F–1H), a metric that is less susceptible to the potential biases associated with case reporting. There is no epidemiological link to any other locality in Wuhan, including the Wuhan Institute of Virology (WIV) located south of the Yangtze and the subject of considerable speculation. Although some early cases do not have a direct epidemiological link to a market (World Health Organization, 2021), this is expected given high rates of asymptomatic transmission and undocumented secondary transmission events and was similarly observed in early SARS-CoV cases in Foshan (Xu et al., 2004).
Figure 1

Phylogenetic and epidemiological data on the early COVID-19 pandemic in Wuhan

(A) Phylogenetic tree of early SARS-CoV-2 genomes sampled from Wuhan during December 2019–January 2020. The split between lineages A and B is labeled with the coordinates and base of the two differentiating nucleotide mutations. Cases with a known association to the Huanan or other markets are denoted by symbols (reported in World Health Organization, 2021).

(B) Map of districts of Wuhan showing the location of markets, the Wuhan National Biosafety Laboratory at the Zhengdian Scientific Park of the Wuhan Institute of Virology (denoted WIV), where the coronavirus isolation and culture work of Dr. Shi Zhengli is performed, and the earliest known cases.

(C–E) Location of recorded COVID-19 cases in Wuhan from December 8 to December 31, 2019. Cases with a home address outside of Wuhan city are not shown.

(F–H) Map of districts of Wuhan indicating the first record of excess deaths due to pneumonia (shaded green) from January 15, 2020. Case and excess death data were extracted and redrawn from figures provided in World Health Organization (2021).

See also Document S1.

Phylogenetic and epidemiological data on the early COVID-19 pandemic in Wuhan (A) Phylogenetic tree of early SARS-CoV-2 genomes sampled from Wuhan during December 2019–January 2020. The split between lineages A and B is labeled with the coordinates and base of the two differentiating nucleotide mutations. Cases with a known association to the Huanan or other markets are denoted by symbols (reported in World Health Organization, 2021). (B) Map of districts of Wuhan showing the location of markets, the Wuhan National Biosafety Laboratory at the Zhengdian Scientific Park of the Wuhan Institute of Virology (denoted WIV), where the coronavirus isolation and culture work of Dr. Shi Zhengli is performed, and the earliest known cases. (C–E) Location of recorded COVID-19 cases in Wuhan from December 8 to December 31, 2019. Cases with a home address outside of Wuhan city are not shown. (F–H) Map of districts of Wuhan indicating the first record of excess deaths due to pneumonia (shaded green) from January 15, 2020. Case and excess death data were extracted and redrawn from figures provided in World Health Organization (2021). See also Document S1. During 2019, markets in Wuhan—including the Huanan market—traded many thousands of live wild animals including high-risk species such as civets and raccoon dogs (Xiao et al., 2021). Following its closure, SARS-CoV-2 was detected in environmental samples at the Huanan market, primarily in the western section that traded in wildlife and domestic animal products, as well as in associated drainage areas (World Health Organization, 2021). Although animal carcasses retrospectively tested negative for SARS-CoV-2, these were unrepresentative of the live animal species sold and specifically did not include raccoon dogs and other animals known to be susceptible to SARS-CoV-2 (Xiao et al., 2021). The earliest split in the SARS-CoV-2 phylogeny defines two lineages—denoted A and B (Rambaut et al., 2020)—that likely circulated contemporaneously (Figure 1A). Lineage B, which became dominant globally, was observed in early cases linked to the Huanan market and environmental samples taken there, whereas lineage A contains a case with exposure to other markets (Figures 1A and 1B) as well as with later cases in Wuhan and other parts of China (World Health Organization, 2021). This phylogenetic pattern is consistent with the emergence of SARS-CoV-2 involving one or more contacts with infected animals and/or traders, including multiple spill-over events, as potentially infected or susceptible animals were moved into or between Wuhan markets via shared supply chains and sold for human consumption (Xiao et al., 2021). The potential emergence of SARS-CoV-2 across multiple markets again mirrors SARS-CoV in which high levels of infection, seroprevalence, and genetic diversity in animals were documented at both the Dongmen market in Shenzhen (Yaqing, 2004; Guan et al., 2003) and the Xinyuan market in Guangzhou (Tu et al., 2004; Wang et al., 2005). Viruses closely related to SARS-CoV-2 have been documented in bats and pangolins in multiple localities in South-East Asia, including in China, Thailand, Cambodia, and Japan (Lytras et al., 2021; Zhou et al., 2021), with serological evidence for viral infection in pangolins for more than a decade (Wacharapluesadee et al., 2021). However, a significant evolutionary gap exists between SARS-CoV-2 and the closest related animal viruses: for example, the bat virus RaTG13 collected by the WIV has a genetic distance of ∼4% (∼1,150 mutations) to the Wuhan-Hu-1 reference sequence of SARS-CoV-2, reflecting decades of evolutionary divergence (Boni et al., 2020). Widespread genomic recombination also complicates the assignment of which viruses are closest to SARS-CoV-2. Although RaTG13, sampled from a Rhinolophus affinis bat in Yunnan (Zhou et al., 2020b), has the highest average genetic similarity to SARS-CoV-2, a history of recombination means that three other bat viruses—RmYN02, RpYN06, and PrC31—are closer in most of the virus genome (particularly ORF1ab) and thus share a more recent common ancestor with SARS-CoV-2 (Li et al., 2021; Lytras et al., 2021; Zhou et al., 2021). None of these three closer viruses were collected by the WIV and all were sequenced after the pandemic had begun (Li et al., 2021; Zhou et al., 2020a, 2021). Collectively, these data demonstrate beyond reasonable doubt that RaTG13 is not the progenitor of SARS-CoV-2, with or without laboratory manipulation or experimental mutagenesis. No bat reservoir or intermediate animal host for SARS-CoV-2 has been identified to date. This is presumably because the right animal species and/or populations have not yet been sampled and/or any progenitor virus may be at low prevalence. Initial cross-species transmission events are also very likely to go undetected. Most SARS-CoV-2 index case infections will not have resulted in sustained onward transmission (Pekar et al., 2021), and only a very small fraction of spillovers from animals to humans result in major outbreaks. Indeed, the animal origins of many well-known human pathogens, including Ebola virus, hepatitis C virus, poliovirus, and the coronaviruses HCoV-HKU1 and HCoV-NL63, are yet to be identified, while it took over a decade to discover bat viruses with >95% similarity to SARS-CoV and able to use hACE-2 as a receptor (Hu et al., 2017).

Could SARS-CoV-2 have escaped from a laboratory?

There are precedents for laboratory incidents leading to isolated infections and transient transmission chains, including SARS-CoV (Parry, 2004). However, with the exception of Marburg virus (Ristanović et al., 2020), all documented laboratory escapes have been of readily identifiable viruses capable of human infection and associated with sustained work in high titer cultures (Geddes, 2006; Lim et al., 2004; Senior, 2003). The 1977 A/H1N1 influenza pandemic, that most likely originated from a large-scale vaccine challenge trial (Rozo and Gronvall, 2015), is the only documented example of a human epidemic or pandemic resulting from research activity. No epidemic has been caused by the escape of a novel virus, and there is no data to suggest that the WIV—or any other laboratory—was working on SARS-CoV-2, or any virus close enough to be the progenitor, prior to the COVID-19 pandemic. Viral genomic sequencing without cell culture, which was routinely performed at the WIV, represents a negligible risk because viruses are inactivated during RNA extraction (Blow et al., 2004). No case of laboratory escape has been documented following the sequencing of viral samples. Known laboratory outbreaks have been traced to both workplace and family contacts of index cases and to the laboratory of origin (Geddes, 2006; Lim et al., 2004; Ristanović et al., 2020; Senior, 2003). Despite extensive contact tracing of early cases during the COVID-19 pandemic, there have been no reported cases related to any laboratory staff at the WIV, and all staff in the laboratory of Dr. Shi Zhengli were said to be seronegative for SARS-CoV-2 when tested in March 2020 (World Health Organization, 2021), with the laboratory reportedly following the appropriate biosafety protocols during their coronavirus work (Cohen, 2020). During a period of high influenza transmission and other respiratory virus circulation (Liu et al., 2020a), reports of illnesses would need to be confirmed as caused by SARS-CoV-2 to be relevant. Epidemiological modeling suggests that the number of hypothetical cases needed to result in multiple hospitalized COVID-19 patients prior to December 2019 is incompatible with observed clinical, genomic, and epidemiological data (Pekar et al., 2021). The WIV possesses an extensive catalog of samples derived from bats (Latinne et al., 2020) and has reportedly successfully cultured three SARSr-CoVs from bats—WIV1, WIV16, and Rs4874 (Ge et al., 2013; Hu et al., 2017; Yang et al., 2015). Importantly, all three viruses are more closely related to SARS-CoV than to SARS-CoV-2 (Ge et al., 2013; Hu et al., 2017; Yang et al., 2015). In contrast, bat virus RaTG13 from the WIV has reportedly never been isolated or cultured and only exists as a nucleotide sequence assembled from short sequencing reads (Cohen, 2020). The three cultured viruses were isolated from fecal samples through serial amplification in Vero E6 cells, a process that consistently results in the loss of the SARS-CoV-2 furin cleavage site (Davidson et al., 2020; Klimstra et al., 2020; Liu et al., 2020b; Ogando et al., 2020; Sasaki et al., 2021; Wong et al., 2021; Zhu et al., 2021b). It is therefore highly unlikely that these techniques would result in the isolation of a SARS-CoV-2 progenitor with an intact furin cleavage site. No published work indicates that other methods, including the generation of novel reverse genetics systems, were used at the WIV to propagate infectious SARSr-CoVs based on sequence data from bats. Gain-of-function research would be expected to utilize an established SARSr-CoV genomic backbone, or at a minimum a virus previously identified via sequencing. However, past experimental research using recombinant coronaviruses at the WIV has used a genetic backbone (WIV1) unrelated to SARS-CoV-2 (Hu et al., 2017), and SARS-CoV-2 carries no evidence of genetic markers one might expect from laboratory experiments (Andersen et al., 2020). There is no rational experimental reason why a new genetic system would be developed using an unknown and unpublished virus, with no evidence nor mention of a SARS-CoV-2-like virus in any prior publication or study from the WIV (Ge et al., 2012; Hu et al., 2017; Menachery et al., 2015), no evidence that the WIV sequenced a virus that is closer to SARS-CoV-2 than RaTG13, and no reason to hide research on a SARS-CoV-2-like virus prior to the COVID-19 pandemic. Under any laboratory escape scenario, SARS-CoV-2 would have to have been present in a laboratory prior to the pandemic, yet no evidence exists to support such a notion and no sequence has been identified that could have served as a precursor. A specific laboratory escape scenario involves accidental infection in the course of serial passage of a SARSr-CoV in common laboratory animals such as mice. However, early SARS-CoV-2 isolates were unable to infect wild-type mice (Wan et al., 2020). Although murine models are useful for studying infection in vivo and testing vaccines, they often result in mild or atypical disease in hACE2 transgenic mice (Bao et al., 2020; Hassan et al., 2020; Israelow et al., 2020; Rathnasinghe et al., 2020; Sun et al., 2020b). These findings are inconsistent with a virus selected for increased pathogenicity and transmissibility through serial passage through susceptible rodents. Although SARS-CoV-2 has since been engineered (Dinnon et al., 2020) and mouse-adapted by serial passage (Gu et al., 2020; Leist et al., 2020; Sun et al., 2020a), specific mutations in the spike protein, including N501Y, are necessary for such adaptation in mice (Gu et al., 2020; Sun et al., 2020a). Notably, N501Y has arisen convergently in multiple SARS-CoV-2 variants of concern in the human population, presumably being selected to increase ACE2 binding affinity (Khan et al., 2021; Kuzmina et al., 2021; Liu et al., 2021; Starr et al., 2020). If SARS-CoV-2 resulted from attempts to adapt a SARSr-CoV for study in animal models, it would likely have acquired mutations like N501Y for efficient replication in that model, yet there is no evidence to suggest such mutations existed early in the pandemic. Both the low pathogenicity in commonly used laboratory animals and the absence of genomic markers associated with rodent adaptation indicate that SARS-CoV-2 is highly unlikely to have been acquired by laboratory workers in the course of viral pathogenesis or gain-of-function experiments.

Evidence from genomic structure and ongoing evolution of SARS-CoV-2

Considerable attention has been devoted to claims that SARS-CoV-2 was genetically engineered or adapted in cell culture or “humanized” animal models to promote human transmission (Zhan et al., 2020). Yet, since its emergence, SARS-CoV-2 has experienced repeated sweeps of mutations that have increased viral fitness (Deng et al., 2021; Otto et al., 2021; Simmonds, 2020). The first clear adaptive mutation, the D614G substitution in the spike protein, occurred early in the pandemic (Korber et al., 2020; Volz et al., 2021). Recurring mutations in the receptor binding domain of the spike protein, including N501Y, K417N/T, L452R, and E484K/Q—constituent mutations of the variants of concern—similarly enhance viral infectivity (Cai et al., 2021; Khan et al., 2021; Kuzmina et al., 2021) and ACE2 binding (Liu et al., 2021; Starr et al., 2020; Zhu et al., 2021a), refuting claims that the SARS-CoV-2 spike protein was optimized for binding to human ACE2 upon its emergence (Piplani et al., 2021). Further, some pangolin-derived coronaviruses have receptor binding domains that are near-identical to SARS-CoV-2 at the amino acid level (Andersen et al., 2020; Xiao et al., 2020) and bind to human ACE2 even more strongly than SARS-CoV-2, showing that there is capacity for further human adaptation (Dicken et al., 2021). SARS-CoV-2 is also notable for being a host generalist virus (Conceicao et al., 2020), capable of efficient transmission in multiple mammalian species (including mink, tigers, cats, gorillas, dogs, raccoon dogs, and ferrets), and large outbreaks have been documented in mink with spill-back to humans (Oude Munnink et al., 2021) and to other animals (van Aart et al., 2021). Combined, these findings show that no specific human “pre” adaptation was required for the emergence or early spread of SARS-CoV-2, and the claim that the virus was already highly adapted to the human host (Zhan et al., 2020), or somehow optimized for binding to human ACE2, is without validity. The genesis of the polybasic (furin) cleavage site in the spike protein of SARS-CoV-2 has been subject to recurrent speculation. Although the furin cleavage site is absent from the closest known relatives of SARS-CoV-2 (Andersen et al., 2020), this is unsurprising because the lineage leading to this virus is poorly sampled and the closest bat viruses have divergent spike proteins due to recombination (Boni et al., 2020; Lytras et al., 2021; Zhou et al., 2021). Furin cleavage sites are commonplace in other coronavirus spike proteins, including some feline alphacoronaviruses, MERS-CoV, most but not all strains of mouse hepatitis virus, as well as in endemic human betacoronaviruses such as HCoV-OC43 and HCoV-HKU1 (Gombold et al., 1993; de Haan et al., 2008; Kirchdoerfer et al., 2016). A near identical nucleotide sequence is found in the spike gene of the bat coronavirus HKU9-1 (Gallaher, 2020), and both SARS-CoV-2 and HKU9-1 contain short palindromic sequences immediately upstream of this sequence that are indicative of natural recombination break-points via template switching (Gallaher, 2020). Hence, simple evolutionary mechanisms can readily explain the evolution of an out-of-frame insertion of a furin cleavage site in SARS-CoV-2 (Figure 2 ).
Figure 2

Evolution of the furin cleavage site in the spike protein of betacoronaviruses

(A) Sequence alignment of the region around the furin cleavage site (FCS) in SARS-CoV-2 (NCBI: MN908947) and bat coronavirus RaTG13 (NCBI: MN996532) showing that the former was the result of an out-of-frame nucleotide sequence insertion.

(B) Amino acid sequence alignment of the FCS region in representative members of the different subgenera of betacoronaviruses, highlighting the evolutionary volatility of this site and that the relevant amino acid motif (RRAR) in SARS-CoV-2 is functionally suboptimal. The residues predicted to be O-linked glycans are also marked.

See also Document S1.

Evolution of the furin cleavage site in the spike protein of betacoronaviruses (A) Sequence alignment of the region around the furin cleavage site (FCS) in SARS-CoV-2 (NCBI: MN908947) and bat coronavirus RaTG13 (NCBI: MN996532) showing that the former was the result of an out-of-frame nucleotide sequence insertion. (B) Amino acid sequence alignment of the FCS region in representative members of the different subgenera of betacoronaviruses, highlighting the evolutionary volatility of this site and that the relevant amino acid motif (RRAR) in SARS-CoV-2 is functionally suboptimal. The residues predicted to be O-linked glycans are also marked. See also Document S1. The SARS-CoV-2 furin cleavage site (containing the amino acid motif RRAR) does not match its canonical form (R-X-R/K-R), is suboptimal compared to those of HCoV-HKU1 and HCoV-OC43, lacks either a P1 or P2 arginine (depending on the alignment), and was caused by an out-of-frame insertion (Figure 2). The RRAR and RRSR S1/S2 cleavage sites in feline coronaviruses (FCoV) and cell-culture adapted HCoV-OC43, respectively, are not cleaved by furin (de Haan et al., 2008). There is no logical reason why an engineered virus would utilize such a suboptimal furin cleavage site, which would entail such an unusual and needlessly complex feat of genetic engineering. The only previous studies of artificial insertion of a furin cleavage site at the S1/S2 boundary in the SARS-CoV spike protein utilized an optimal “RRSRR” sequence in pseudotype systems (Belouzard et al., 2009; Follis et al., 2006). Further, there is no evidence of prior research at the WIV involving the artificial insertion of complete furin cleavage sites into coronaviruses. The recurring P681H/R substitution in the proline (P) residue preceding the SARS-CoV-2 furin cleavage site improves cleavage of the spike protein and is another signature of ongoing human adaptation of the virus (Peacock et al., 2021a). The SARS-CoV-2 furin site is also lost under standard cell culture conditions involving Vero E6 cells (Ogando et al., 2020; Peacock et al., 2021b), as is true of HCoV-OC43 (Follis et al., 2006). The presence of two adjacent CGG codons for arginine in the SARS-CoV-2 furin cleavage site is similarly not indicative of genetic engineering (Maxmen and Mallapaty, 2021). Although the CGG codon is rare in coronaviruses, it is observed in SARS-CoV, SARS-CoV-2, and other human coronaviruses at comparable frequencies (Maxmen and Mallapaty, 2021). Further, if low-fitness codons had been artificially inserted into the virus genome they would have been quickly selected against during SARS-CoV-2 evolution, yet both CGG codons are more than 99.8% conserved among the >2,300,000 near-complete SARS-CoV-2 genomes sequenced to date, indicative of strong functional constraints (supplemental information; Table S1).

Conclusions

As for the vast majority of human viruses, the most parsimonious explanation for the origin of SARS-CoV-2 is a zoonotic event. The documented epidemiological history of the virus is comparable to previous animal market-associated outbreaks of coronaviruses with a simple route for human exposure. The contact tracing of SARS-CoV-2 to markets in Wuhan exhibits striking similarities to the early spread of SARS-CoV to markets in Guangdong, where humans infected early in the epidemic lived near or worked in animal markets. Zoonotic spillover by definition selects for viruses able to infect humans. Although strong safeguards should be consistently employed to minimize the likelihood of laboratory accidents in virological research, those laboratory escapes documented to date have almost exclusively involved viruses brought into laboratories specifically because of their known human infectivity. There is currently no evidence that SARS-CoV-2 has a laboratory origin. There is no evidence that any early cases had any connection to the WIV, in contrast to the clear epidemiological links to animal markets in Wuhan, nor evidence that the WIV possessed or worked on a progenitor of SARS-CoV-2 prior to the pandemic. The suspicion that SARS-CoV-2 might have a laboratory origin stems from the coincidence that it was first detected in a city that houses a major virological laboratory that studies coronaviruses. Wuhan is the largest city in central China with multiple animal markets and is a major hub for travel and commerce, well connected to other areas both within China and internationally. The link to Wuhan therefore more likely reflects the fact that pathogens often require heavily populated areas to become established (Pekar et al., 2021). We contend that although the animal reservoir for SARS-CoV-2 has not been identified and the key species may not have been tested, in contrast to other scenarios there is substantial body of scientific evidence supporting a zoonotic origin. Although the possibility of a laboratory accident cannot be entirely dismissed, and may be near impossible to falsify, this conduit for emergence is highly unlikely relative to the numerous and repeated human-animal contacts that occur routinely in the wildlife trade. Failure to comprehensively investigate the zoonotic origin through collaborative and carefully coordinated studies would leave the world vulnerable to future pandemics arising from the same human activities that have repeatedly put us on a collision course with novel viruses.
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Journal:  PLoS Pathog       Date:  2022-07-18       Impact factor: 7.464

Review 4.  The Lancet Commission on lessons for the future from the COVID-19 pandemic.

Authors:  Jeffrey D Sachs; Salim S Abdool Karim; Lara Aknin; Joseph Allen; Kirsten Brosbøl; Francesca Colombo; Gabriela Cuevas Barron; María Fernanda Espinosa; Vitor Gaspar; Alejandro Gaviria; Andy Haines; Peter J Hotez; Phoebe Koundouri; Felipe Larraín Bascuñán; Jong-Koo Lee; Muhammad Ali Pate; Gabriela Ramos; K Srinath Reddy; Ismail Serageldin; John Thwaites; Vaira Vike-Freiberga; Chen Wang; Miriam Khamadi Were; Lan Xue; Chandrika Bahadur; Maria Elena Bottazzi; Chris Bullen; George Laryea-Adjei; Yanis Ben Amor; Ozge Karadag; Guillaume Lafortune; Emma Torres; Lauren Barredo; Juliana G E Bartels; Neena Joshi; Margaret Hellard; Uyen Kim Huynh; Shweta Khandelwal; Jeffrey V Lazarus; Susan Michie
Journal:  Lancet       Date:  2022-09-14       Impact factor: 202.731

5.  COVID-19 in Missouri 2020-2021: A Perspective on Origins, Spread & Controversies, Part I.

Authors:  David S McKinsey; Joel P McKinsey; Neil B Hampson; Maithe Enriquez
Journal:  Mo Med       Date:  2022 Mar-Apr

6.  Transmission history of SARS-CoV-2 in humans and white-tailed deer.

Authors:  Katriina Willgert; Xavier Didelot; Meera Surendran-Nair; Suresh V Kuchipudi; Rachel M Ruden; Michele Yon; Ruth H Nissly; Kurt J Vandegrift; Rahul K Nelli; Lingling Li; Bhushan M Jayarao; Nicole Levine; Randall J Olsen; James J Davis; James M Musser; Peter J Hudson; Vivek Kapur; Andrew J K Conlan
Journal:  Sci Rep       Date:  2022-07-15       Impact factor: 4.996

7.  Heterogeneous Infectivity and Pathogenesis of SARS-CoV-2 Variants Beta, Delta and Omicron in Transgenic K18-hACE2 and Wildtype Mice.

Authors:  Ferran Tarrés-Freixas; Benjamin Trinité; Anna Pons-Grífols; Miguel Romero-Durana; Eva Riveira-Muñoz; Carlos Ávila-Nieto; Mónica Pérez; Edurne Garcia-Vidal; Daniel Perez-Zsolt; Jordana Muñoz-Basagoiti; Dàlia Raïch-Regué; Nuria Izquierdo-Useros; Cristina Andrés; Andrés Antón; Tomàs Pumarola; Ignacio Blanco; Marc Noguera-Julián; Victor Guallar; Rosalba Lepore; Alfonso Valencia; Victor Urrea; Júlia Vergara-Alert; Bonaventura Clotet; Ester Ballana; Jorge Carrillo; Joaquim Segalés; Julià Blanco
Journal:  Front Microbiol       Date:  2022-05-04       Impact factor: 6.064

8.  Performance evaluation of a non-invasive one-step multiplex RT-qPCR assay for detection of SARS-CoV-2 direct from saliva.

Authors:  Chris Denning; Andrew V Benest; Claire Seedhouse; Harry H Jenkins; Ana A Tellechea Lopez; Francesco Saverio Tarantini; Hannah Tomlin; Danielle Scales; I-Ning Lee; Siyu Wu; Ralph Hyde; Katarzyna Lis-Slimak; Timothy Byaruhanga; Jamie L Thompson; Sara Pijuan-Galito; Lara Doolan; Kazuyo Kaneko; Penny Gwynne; Caroline Reffin; Emily Park; Jayasree Dey; Jack Hill; Asta Arendt-Tranholm; Amy Stroud; Moira Petrie
Journal:  Sci Rep       Date:  2022-07-07       Impact factor: 4.996

9.  COVID-19 Conspiracy Beliefs are not Barriers to HIV Status Neutral Care Among Black Cisgender Sexual Minority Men and Black Transgender Women at the Initial Peak of the COVID-19 Pandemic in Chicago, USA.

Authors:  Yen-Tyng Chen; Dustin T Duncan; Natascha Del Vecchio; Liadh Timmins; Jade Pagkas-Bather; Justin Knox; Shaina Lacap; Hillary Hanson; John A Schneider
Journal:  AIDS Behav       Date:  2022-06-22

Review 10.  Proteome expansion in the Potyviridae evolutionary radiation.

Authors:  Fabio Pasin; José-Antonio Daròs; Ioannis E Tzanetakis
Journal:  FEMS Microbiol Rev       Date:  2022-07-01       Impact factor: 15.177

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