Literature DB >> 34522191

The viral phoenix: enhanced infectivity and immunity evasion of SARS-CoV-2 variants.

Hosoon Choi1, Piyali Chatterjee1, Munok Hwang1, Eric Lichtfouse2, Virender K Sharma3, Chetan Jinadatha1,4.   

Abstract

SARS-CoV-2 pandemic continues with emergence of new variants of concerns. These variants are fueling the third and fourth waves of pandemic across many nations. Here we describe the new emerging variants of SARS-CoV-2 and why they have enhanced infectivity and possess the ability to evade immunity.
© The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021.

Entities:  

Year:  2021        PMID: 34522191      PMCID: PMC8428212          DOI: 10.1007/s10311-021-01318-4

Source DB:  PubMed          Journal:  Environ Chem Lett        ISSN: 1610-3653            Impact factor:   13.615


The coronavirus disease that started in 2019, named COVID-19, has induced more than 210 million cases and 4 million deaths in September 2021, following the infection by the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2, Sharma et al. 2020, 2021). Actually, many scientific issues remain unanswered such as the virus origin, transmission and adaptation, and the role of environmental factors such as pollution (Chen et al. 2021a, b; Choi et al. 2021a, b; Dai et al. 2021; Khan et al. 2021; Roviello and Roviello 2020; Paital and Agrawal 2021; Sun and Han 2021; Ufnalska and Lichtfouse 2021). Despite the design and massive administration of several vaccines, the pandemic continues with emergence of new variants of concerns, similarly to the Greek mythological phoenix, an immortal bird that cyclically regenerates by obtaining new life by arising from the ashes of its predecessor. These variants are fueling the third and fourth waves of the pandemic across many nations. Here, we describe the new emerging variants of SARS-CoV-2 and why they have enhanced infectivity and possess the ability to evade immunity.

Variants of concern

SARS-CoV-2 has slower mutation rate than other RNA viruses due to the presence of the proofreading 3’-5’ exonuclease nsp14 (Robson et al. 2020). However, many viral genome replications that occur during the pandemic are increasing the genetic diversity of SARS-CoV-2. Most mutations are detrimental to virus fitness, yet mutations beneficial to virus survival and transmission are selected and accumulated over time to give rise to variants with enhanced transmissibility, hence leading to a rapid rise of worldwide infections. Variant of concerns are variants for which there is significant evidence to have increased transmissibility, disease severity, and immune evasion potency. Currently, four variants of SARS-CoV-2, alpha—lineage B.1.1.7, beta—lineage B.1.351, gamma—lineage P.1, and delta—lineage B.1.617.2 are recognized as variants of concern by the World Health Organization (WHO) and the Centers for Disease Control and Prevention (CDC) (Table 1). The two main features that control the natural selection of SARS-CoV-2 are the extreme variability of disease severity and the temporal patterns of viral shedding. Patients with SARS-CoV-2 infection undergo a range of clinical symptoms, from no symptoms to critical illness and death (Garcia 2020). About one fourth of infections are asymptomatic cases (Alene et al. 2021). Theoretically, direct selection pressure against virulence of SARS-CoV-2 is likely very weak because of the wide symptomatic spectrum and the fact that the peak viral load and transmissibility occur days before symptom onset. However, there is evidence that all four variants of concern have increased disease severity (https://www.ecdc.europa.eu/en/covid-19/variants-concern).
Table 1

Variants of concern according to the Centers for Disease Control and Prevention, on December 8, 2021

Nextstrain Clade(b)WHO ClassificationPango Lineage(a)Sequence changeSpike Protein SubstitutionsFirst Identified
20I/501Y.V1AlphaB.1.1.7

Δ(21,767 ~ 21,773)

Δ(21,991 ~ 21,993)

69 ~ 70 del 144delUnited Kingdom
G23012A(E484K*)
T23042C(S494P*)
A23063TN501Y
C23271AA570D
A23403GD614G
C23604AP681H
C23709TT716I
T24506GS982A
G24914CD1118H
G25135C(K1191N*)
20H/501.V2Beta

B.1.351

B.1.351.2

B.1.351.3

A21801CD80ASouth Africa
A22206GD215G
Δ(22,283 ~ 22,291)241 ~ 3 del
G22813CK417N
G23012AE484K
A23063TN501Y
A23403GD614G
C23664TA701V
20 J/501Y.V3Gamma

P.1

P.1.1

P.1.2

C21614TL18F

Japan

Brazil

C21621AT20N
C21638TP26S
G21974TD138Y
G22132CR190S
A22812CK417T
G23012AE484K
A23063TN501Y
A23403GD614G
C23525TH655Y
C24642TT1027I
21A/S:478 KDelta

B.1.617.2

AY.1

AY.2

AY.3

C21618G

T19R

(V70F*)

T95I

India
G21770T
C21846T
G21987A
Δ(22,028 ~ 22,033)G142D
A22034GE156- F157-
C22227TR158G
G22335T(A222V*)
G22813C(W258L*)
T22917G(K417N*)
C22995AL452R
A23403GT478K
C23604GD614G
G24410AP681R
D950N

(*) = detected in some sequences but not all

aPhylogenetic Assignment of Named Global Outbreak (PANGO) Lineages is a software tool developed by members of the Rambaut Lab. The associated web application was developed by the Centre for Genomic Pathogen Surveillance in South Cambridgeshire and is intended to implement the dynamic nomenclature of SARS-CoV-2 lineages, known as the PANGO nomenclature

bNextstrain, a collaboration between researchers in Seattle, USA and Basel, Switzerland, provides an open-source tool for visualizing the genetics of outbreaks. The goal is to support public health surveillance by facilitating understanding of the spread and evolution of pathogens

Variants of concern according to the Centers for Disease Control and Prevention, on December 8, 2021 Δ(21,767 ~ 21,773) Δ(21,991 ~ 21,993) B.1.351 B.1.351.2 B.1.351.3 P.1 P.1.1 P.1.2 Japan Brazil B.1.617.2 AY.1 AY.2 AY.3 T19R (V70F*) T95I (*) = detected in some sequences but not all aPhylogenetic Assignment of Named Global Outbreak (PANGO) Lineages is a software tool developed by members of the Rambaut Lab. The associated web application was developed by the Centre for Genomic Pathogen Surveillance in South Cambridgeshire and is intended to implement the dynamic nomenclature of SARS-CoV-2 lineages, known as the PANGO nomenclature bNextstrain, a collaboration between researchers in Seattle, USA and Basel, Switzerland, provides an open-source tool for visualizing the genetics of outbreaks. The goal is to support public health surveillance by facilitating understanding of the spread and evolution of pathogens

Evolving viral keys unlock cell entrance

Amid rapid spread of COVID-19, transmissibility is a major selective force for SARS-CoV-2. Indeed, higher viral loads are increasing the transmission rate and, in turn, more transmission can be accompanied by more severe illness. The transmission rate is mainly controlled by the recognition and binding of the virus to host cells. The spike (S) protein of SARS-CoV-2 plays a key role in the receptor recognition and cell membrane fusion process (Hoffmann et al. 2020; Luchini et al. 2021). In the host cell membrane, the angiotensin-converting enzyme 2 (ACE2) has been identified as the viral receptor (Fig. 1). The S glycoprotein mediates the entry of the virus into host cells through its receptor-binding domain (RBD) and ACE2 interaction (Wan et al. 2020; Yan et al. 2020). The crystal structure of the S glycoprotein bound to ACE2 has been determined (Lan et al. 2020). SARS-CoV-2 has an almost identical binding complex as SARS-CoV-1, the coronavirus strain that caused the death of 9% of patients in 2003, but SARS-CoV-2 displays a tenfold higher binding affinity (Li et al. 2005). Indeed, in the SARS-CoV-2 receptor-binding domain, hydrogen bonds are formed between amino acid residues of host ACE2 and the following sites of the virus spike protein: K417, G446, Y449, N487, Y489, Q493, T500, N501, G502, and Y505. A salt-bridge connection has also been identified between the virus K417 site and the D30 site of host ACE2 (Lan et al. 2020). Here, mutations in the receptor-binding domain of the spike protein can result in higher affinity to ACE2 and can thus lead to an increase in infectivity and transmissibility of the virus. For instance, N501 is mutated in alpha, beta, and gamma variants. Mutations in K417 are found in beta, gamma, and delta plus variant-lineage AY.1.
Fig. 1

a Overall topology of the spike monomer of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). b Sequence and secondary structures of SARS-CoV-2 receptor-binding domain (RBD). The RBM sequence is shown in red. c Overall structure of the SARS-CoV-2 RBD bound to ACE2. ACE2 is shown in green. The SARS-CoV-2 RBD core is shown in cyan and receptor-binding motif (RBM) in red. Disulfide bonds in the SARS-CoV-2 RBD are shown as sticks and indicated by arrows. The N-terminal helix of ACE2 responsible for binding is labeled. ACE2: angiotensin-converting enzyme 2; FP: fusion peptide; HR1: heptad repeat 1; HR2: heptad repeat 2; IC: intracellular domain; NTD: N-terminal domain; SD1: subdomain 1; SD2: subdomain 2; TM: transmembrane region.

Adapted from Lan et al. (2020) with permission from Nature

a Overall topology of the spike monomer of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). b Sequence and secondary structures of SARS-CoV-2 receptor-binding domain (RBD). The RBM sequence is shown in red. c Overall structure of the SARS-CoV-2 RBD bound to ACE2. ACE2 is shown in green. The SARS-CoV-2 RBD core is shown in cyan and receptor-binding motif (RBM) in red. Disulfide bonds in the SARS-CoV-2 RBD are shown as sticks and indicated by arrows. The N-terminal helix of ACE2 responsible for binding is labeled. ACE2: angiotensin-converting enzyme 2; FP: fusion peptide; HR1: heptad repeat 1; HR2: heptad repeat 2; IC: intracellular domain; NTD: N-terminal domain; SD1: subdomain 1; SD2: subdomain 2; TM: transmembrane region. Adapted from Lan et al. (2020) with permission from Nature

Zoonosis

Human-to-animal and animal-to-human transmission, favored by pollution, are very likely routes for the pandemic origin and propagation, and for vaccine failure (He et al. 2021a,b). Research on interspecies transmission reveals that amino acid residues play major roles in the virus transmissibility. For instance, the Danish Cluster 5 variant has spread from human to minks as a reverse-zoonotic transmission in Denmark then followed by minks to human transmission (Oreshkova et al. 2020; Oude Munnink et al. 2021). This variant contains the Y453F mutation in its receptor-binding domain of the S glycoprotein which is associated with a fourfold higher affinity to ACE2 (Welkers et al. 2021). A mouse adapted SARS-CoV-2 strain carry Q493K, Q498Y and P499T mutations (Leist et al. 2020). Tiger and lion were infected with SARS-CoV-2, which contain F456Y or Y505H mutations in the receptor-binding domain, respectively (McAloose et al. 2020).

Immune evasion

As worldwide vaccination progresses, the immune evasion potency becomes a stronger selective force in viral evolution. Indeed, the antigenic ability of the virus can change as mutations alter the protein structure. Some mutations can lead to reduced effectiveness of the existing vaccines which were developed against the original strain of the virus. For example, the receptor-binding motif (RBM) is a small patch of about 70 amino acids located in the receptor-binding domain of the host ACE2. In this domain, amino acid residues not only form bonds with the virus spike protein, but also serve as antibody binding epitopes for many neutralizing antibodies. Here, the weakening of some neutralizing antibody binding is attributed to mutations of residues K417 and E484 (Chen et al. 2021a, b; Wise 2021). K417N mutations have been found in beta and delta plus variants. Gamma variant contains a K417T mutation. E484K mutation is found in beta and gamma variants. The N-terminal domain (NTD) is another major target for neutralizing antibodies. Two deletion mutations, 69–70 ∆HV and 144 ∆Y, in the N-terminal domain of the spike protein confer the resistance against the NTD-directed antibodies to alpha variants. The resistance against NTD-targeting antibodies of beta variant largely comes from the R246I mutation. The P26S, L18F, T20N, D138Y, and R190S mutations play similar roles in immune evasion of the gamma variant. There are heightened concerns about the existing COVID-19 vaccine effectiveness against current and emerging variants of SARS-CoV-2. Potency of vaccine-induced neutralizing antibodies against SARS-CoV-2 variants showed several fold reductions against gamma and delta variants, and about 20–40 fold decreases against beta variant (Noori et al. 2021). However, the impact of this neutralization titer reduction on vaccine effectiveness is hard to predict. Although neutralizing antibody levels are predictive of immune protection, the threshold of neutralization for vaccine protection is not known yet (Khoury et al. 2021). Furthermore, the impact of the other potential protective factors besides neutralizing antibody levels, such as T-cell mediated immunity and memory B-cell, has not been fully understood yet.

Delta variant

SARS-CoV-2 is expected to continuously change. Some variants will emerge and replace existing variants. The Delta variant is currently the subject of the main concern. Delta variant contains L452R and T478K in the receptor-binding motif and P681R in the S1/S2 cleavage site in its spike protein. Delta variants are rapidly spread globally and reached actually more than 90% of new cases in US (https://covid.cdc.gov/covid-data-tracker/#variant-proportions). The delta variant is highly contagious. The transmission rate is 2 to 3 times higher than original virus, and the viral load in respiratory tract is about 1,000 times higher than original virus (Li et al. 2021). Delta variants show reduced sensitivity to sera from vaccinated individuals (Planas et al., 2021). However, current vaccines are still highly effective against the delta variant (Nasreen et al. 2021; Sheikh et al. 2021). For instance, only modest difference of the vaccine effectiveness between delta and alpha variants was reported when two doses of the BNT162b2 Pfizer–BioNTech or the Oxford–AstraZeneca ChAdOx1 nCoV-19 vaccines were received (Lopez Bernal et al. 2021). However, some vaccinated can not only be infected with Delta variants but also may spread virus to others (Brown et al. 2021). As SARS-CoV-2 spread rapidly, there is a higher chance that new variants can escape immune surveillance, thus rendering current vaccines ineffective. Thorough investigations of variant infection cases and close monitoring of the emergence of new variant are urgently needed. Expediting vaccine deployment and implementing other mitigation measures including mask wearing and social distancing are critical in preventing the emergence and transmission of vaccine escape variants of SARS-CoV-2. Moreover, in the long run, research on alternative cures and prevention measures is definitively needed to outsmart the virus adaptation (Dai et al. 2021).
  37 in total

1.  Reduced sensitivity of SARS-CoV-2 variant Delta to antibody neutralization.

Authors:  Timothée Bruel; Etienne Simon-Lorière; Felix A Rey; Olivier Schwartz; Delphine Planas; David Veyer; Artem Baidaliuk; Isabelle Staropoli; Florence Guivel-Benhassine; Maaran Michael Rajah; Cyril Planchais; Françoise Porrot; Nicolas Robillard; Julien Puech; Matthieu Prot; Floriane Gallais; Pierre Gantner; Aurélie Velay; Julien Le Guen; Najiby Kassis-Chikhani; Dhiaeddine Edriss; Laurent Belec; Aymeric Seve; Laura Courtellemont; Hélène Péré; Laurent Hocqueloux; Samira Fafi-Kremer; Thierry Prazuck; Hugo Mouquet
Journal:  Nature       Date:  2021-07-08       Impact factor: 49.962

2.  Environmental chemistry is most relevant to study coronavirus pandemics.

Authors:  Virender K Sharma; Chetan Jinadatha; Eric Lichtfouse
Journal:  Environ Chem Lett       Date:  2020-05-20       Impact factor: 13.615

3.  A Mouse-Adapted SARS-CoV-2 Induces Acute Lung Injury and Mortality in Standard Laboratory Mice.

Authors:  Sarah R Leist; Kenneth H Dinnon; Alexandra Schäfer; Longping V Tse; Kenichi Okuda; Yixuan J Hou; Ande West; Caitlin E Edwards; Wes Sanders; Ethan J Fritch; Kendra L Gully; Trevor Scobey; Ariane J Brown; Timothy P Sheahan; Nathaniel J Moorman; Richard C Boucher; Lisa E Gralinski; Stephanie A Montgomery; Ralph S Baric
Journal:  Cell       Date:  2020-09-23       Impact factor: 41.582

4.  Magnitude of asymptomatic COVID-19 cases throughout the course of infection: A systematic review and meta-analysis.

Authors:  Muluneh Alene; Leltework Yismaw; Moges Agazhe Assemie; Daniel Bekele Ketema; Belayneh Mengist; Bekalu Kassie; Tilahun Yemanu Birhan
Journal:  PLoS One       Date:  2021-03-23       Impact factor: 3.240

5.  Possible host-adaptation of SARS-CoV-2 due to improved ACE2 receptor binding in mink.

Authors:  Matthijs R A Welkers; Alvin X Han; Chantal B E M Reusken; Dirk Eggink
Journal:  Virus Evol       Date:  2021-01-04

Review 6.  Open defecation and squat toilets, an overlooked risk of fecal transmission of COVID-19 and other pathogens in developing communities.

Authors:  Shiyi Sun; Jie Han
Journal:  Environ Chem Lett       Date:  2020-11-29       Impact factor: 9.027

Review 7.  COVID-19 transmission, vulnerability, persistence and nanotherapy: a review.

Authors:  Afzal Husain Khan; Vineet Tirth; Manal Fawzy; Alaa El Din Mahmoud; Nadeem A Khan; Sirajuddin Ahmed; Syed Sadat Ali; Muhammad Akram; Leena Hameed; Saiful Islam; Gotam Das; Sharmili Roy; Mohammad Hadi Dehghani
Journal:  Environ Chem Lett       Date:  2021-04-07       Impact factor: 9.027

8.  From People to Panthera: Natural SARS-CoV-2 Infection in Tigers and Lions at the Bronx Zoo.

Authors:  Denise McAloose; Melissa Laverack; Leyi Wang; Mary Lea Killian; Paul P Calle; Karen Terio; Mia Kim Torchetti; Diego G Diel; Leonardo C Caserta; Fangfeng Yuan; Patrick K Mitchell; Krista Queen; Matthew R Mauldin; Brittany D Cronk; Susan L Bartlett; John M Sykes; Stephanie Zec; Tracy Stokol; Karen Ingerman; Martha A Delaney; Richard Fredrickson; Marina Ivančić; Melinda Jenkins-Moore; Katie Mozingo; Kerrie Franzen; Nichole Hines Bergeson; Laura Goodman; Haibin Wang; Ying Fang; Colleen Olmstead; Colleen McCann; Patrick Thomas; Erin Goodrich; François Elvinger; David C Smith; Suxiang Tong; Sally Slavinski
Journal:  mBio       Date:  2020-10-13       Impact factor: 7.867

Review 9.  Coronavirus RNA Proofreading: Molecular Basis and Therapeutic Targeting.

Authors:  Fran Robson; Khadija Shahed Khan; Thi Khanh Le; Clément Paris; Sinem Demirbag; Peter Barfuss; Palma Rocchi; Wai-Lung Ng
Journal:  Mol Cell       Date:  2020-08-04       Impact factor: 17.970

10.  Transmission of SARS-CoV-2 on mink farms between humans and mink and back to humans.

Authors:  Bas B Oude Munnink; Reina S Sikkema; David F Nieuwenhuijse; Robert Jan Molenaar; Emmanuelle Munger; Richard Molenkamp; Arco van der Spek; Paulien Tolsma; Ariene Rietveld; Miranda Brouwer; Noortje Bouwmeester-Vincken; Frank Harders; Renate Hakze-van der Honing; Marjolein C A Wegdam-Blans; Ruth J Bouwstra; Corine GeurtsvanKessel; Annemiek A van der Eijk; Francisca C Velkers; Lidwien A M Smit; Arjan Stegeman; Wim H M van der Poel; Marion P G Koopmans
Journal:  Science       Date:  2020-11-10       Impact factor: 47.728

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Review 1.  Nucleic Acids as Biotools at the Interface between Chemistry and Nanomedicine in the COVID-19 Era.

Authors:  Nicola Borbone; Ilaria Piccialli; Andrea Patrizia Falanga; Vincenzo Piccialli; Giovanni N Roviello; Giorgia Oliviero
Journal:  Int J Mol Sci       Date:  2022-04-14       Impact factor: 6.208

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