Literature DB >> 35000004

Emergence of two distinct variants of SARS-CoV-2 and an explosive second wave of COVID-19: the experience of a tertiary care hospital in Pune, India.

Shubham Shrivastava1, Suhas T Mhaske1, Meera S Modak2, Rashmi G Virkar1, Shamburaje S Pisal1, Akhilesh Chandra Mishra1, Vidya A Arankalle3.   

Abstract

The emergence of novel variants of SARS-CoV-2 in several countries has been associated with increased transmissibility or reduced neutralization potential of antibodies against the Wuhan virus (wild type). From August 2021 onwards, India experienced a progressive decline in the number of active SARS-CoV-2 infections, indicative of a downward trend in the explosive second wave. This prospective study was conducted quarterly for one year (May 2020 to June 2021) at a tertiary care hospital in the city of Pune in western India. Receptor-binding domain (RBD, n = 319) and full genome (n = 20) sequences from viral-RNA-positive nasopharyngeal swabs of COVID-19 patients representing the first and second waves were used for analysis. No Brazilian, South African, or California variants were detected in this study. Until December 2020, only the wild-type strain was prevalent. Concurrent with the upsurge of the second wave in March 2021, 73% (33/45) of RBD sequences harboured L452R/E484Q mutations characteristic of the Kappa variant. In April 2021, co-circulation of Kappa (37%) and Delta (L452R/T478K, 59%) variants was recorded. During May and June 2021, the Delta variant became the predominant circulating variant, and this coincided with a significant decline in the number of COVID-19 cases. Of the 20 full genome sequences, six isolates each exhibited signature mutations of the Kappa and Delta variant. With several states witnessing a reduction in the number of COVID-19 cases, continuous monitoring of newer mutations and assessment of their effect on virus transmissibility and their impact on vaccinated or previously exposed individuals is necessary.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

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Year:  2022        PMID: 35000004      PMCID: PMC8742689          DOI: 10.1007/s00705-021-05320-7

Source DB:  PubMed          Journal:  Arch Virol        ISSN: 0304-8608            Impact factor:   2.685


Introduction

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, was declared a pandemic on March 11, 2020, and continued to be a global public health concern in 2021. Several countries have experienced a resurgence leading to second or third waves of the disease [1]. Several vaccines have been approved or approved for emergency use and are being used in different countries, depending on their availability and national policies [2]. However, the proportion of the global population that is vaccinated remains low. The original SARS-CoV-2 strain from Wuhan (wild-type) was rapidly transmitted in a large number of countries through infected travellers, followed by establishment of community transmission and further rapid spread. In India, the first COVID-19 case was reported on January 29, 2020, in a student returning from China [3]. At the peak in September 2020, 97,860 cases were recorded [4]. Subsequently, the number of cases decreased considerably, with the lowest number of cases in January and February 2021 [4]. The second wave started from the middle of March 2021, with the highest number of cases (414,188) recorded on May 6, 2021. Currently, India is experiencing a significant drop in the number of active infections, with 41,831 as of July 31, 2021 [4]. The state of Maharashtra was the first to report an increase in the number of cases during the second wave and remains the worst-affected state, so far. Although mutation is an ongoing process for RNA viruses, the identification of a variant harbouring a set of mutations in the spike protein accompanying enhanced transmissibility of SARS-CoV-2 in the UK (UK variant, B.1.1.7, Alpha) was alarming [5, 6]. Subsequently, additional variants of concern with higher transmissibility, virulence, or resistance to the vaccines currently in use were identified in different continents. These include the South African variant B.1.351 (Beta) [7], the Brazilian variants P.1 and P.2, (Gamma) [8, 9], the California variants B.1.429, (Epsilon) and B.1.427 [10, 11], and the most recent Indian variant, B.1.617.2, (Delta) [12]. The first case in the state of Maharashtra was reported on March 19, 2020, in Pune, a city with a population of 5,057,709 that has remained a major hotspot. To monitor SARS-CoV-2 strains over time on a quarterly basis, a single-centre study was undertaken at Pune. Changes in the variants that occurred during the two waves of disease are reported here.

Materials and methods

Clinical specimens

In May 2020, eight nasopharyngeal swab (NPS) specimens from patients with confirmed COVID-19 were collected from a designated COVID treatment facility. Subsequent NPS samples were collected from Bharati Vidyapeeth (Deemed to be University) Medical College and Hospital (BVDUMCH), Pune. NPS specimens collected from suspected COVID-19 patients for diagnosis were tested at BVDUMCH for the presence of SARS-CoV-2 RNA. Depending on their availability, three different kits were used for RT-PCR: Mylab, India; Covipath, Thermo Fisher, USA; and Aargene, France. RNA was extracted from NPS specimens (QIAGEN, USA), and RT-PCR was performed according to the instructions provided by the manufacturers. SARS-CoV-2-positive NPS specimens were stored in aliquots at -80°C until testing. Samples yielding Ct values of <20 in RT-PCR were selected for amplification of the RBD region (669 nt) using PCR. Of the total 319 samples selected for sequencing, 30 and 289 were collected during the first and second wave of the pandemic, respectively. The samples collected in September 2020 represented the peak of the first wave, while those obtained in April 2021 corresponded to the second wave. Five samples were collected in May 2020, 10 in September 2020, 15 in December 2020, 45 in March 2021 (including 20 samples collected in the first week and 25 collected in the fourth week), 91 in April 2021, 132 in May 2021, and 21 in June 2021.

Viral RNA extraction, PCR, and sequencing

Viral RNA was extracted using a QIAamp viral RNA Mini Kit (QIAGEN, CA, USA), and cDNA was synthesized using a high-capacity reverse transcription kit using the reverse primer RBD-R. The PCR product was amplified using AmpliTaq polymerase (Thermo Fisher Scientific, MA, USA) with specific primers. The forward primer RBD-F (5’-GCGGTCTAGAATGAATATTACAAACTTGTGCCCT-3’) and the reverse primer RBD-R (5’-TACATGCACCAGCAACTGTTTAACTCGAGCCAT-3’) were designed to amplify the RBD region, encoding amino acid residues 331-524 of the SARS-CoV-2 spike protein, using a reference sequence from NCBI (accession number NC045512). PCR products (~600 bp) were gel purified and sequenced from both the ends using a Big Dye Terminator Cycle Sequencing Kit (Thermo Fisher Scientific, MA, USA). RBD sequences were confirmed using BLAST (www.ncbi.nlm.nih.gov/BLAST). The forward and reverse sequences were aligned and edited manually using CodonCode Aligner v.9.0.1 software to obtain a consensus sequence. Partial RBD sequences were submitted to the GenBank database at www.ncbi.nlm.nih.gov (Supplementary Table S1).

Sequencing of full SARS-CoV-2 genomes

Full genomes of SARS-CoV-2 were sequenced from NPS specimens using an Ion Torrent targeted next-generation sequencing platform (Thermo Fisher Scientific, MA, USA). The analysis was performed on Torrent Suite Server v5.14 using plugins specifically for the Ion Ampliseq SARS-CoV-2 panel, including IRMA report, to build a consensus sequence. The consensus sequences were assembled using Trinity Assembler v. 1.3.0.2, and contigs were annotated using the NCBI database. Complete genome sequences were submitted to the GenBank database at www.ncbi.nlm.nih.gov (accession numbers MT416725, MT416726, MW969752 to MW969758, MZ021503 to MZ021506, and MZ574051 to MZ574056). One sequence was deposited in the GISAID database (EPI_ISL_1710598).

Sequence analysis

The sequences obtained during the present study and other sequences retrieved from GenBank and GISAID were aligned against that of the Wuhan-Hu-1 reference strain (NC045512) using the MAFFT online alignment tool (v7.475, 2020), and Pangolin v2.1.6 (www.github.com/cov-lineages/pangolin) was used to determine their lineages. The Nextclade web tool (v0.14.2) (https://clades.nextstrain.org) was used to compare the sequences to those of reference strains for clade assignment.

Results

Comparison of COVID-19 cases in Pune and those diagnosed at Bharati Hospital (March 2020-June 2021)

Figure 1A shows the number of COVID-19 cases each month in the city of Pune as reported by the Pune Municipal Corporation [13]. The first case was detected on March 19, 2020, and the number of cases increased steadily until June, with a sharp rise in July 2020. At the peak in September 2020, 49,918 cases were reported, and this peak was followed by a sharp decline until February 2021. In March 2021, there was a rapid increase in the number of COVID-19 cases, which reached a peak of 150,175 cases in April 2021. Starting in the third week of April, the number declined sharply again, continuing through May and June 2021. During June 2021, 8,590 cases were reported. Figure 1B presents the number of patients advised and the number with confirmed COVID-19 diagnosis at BVDUMCH after permission was given by the government to provide diagnostic services. At Bharati Hospital, during the first wave of disease, the number of COVID-19 cases increased steadily from June to September 2020. The highest number (n = 800) was recorded in September 2020, followed by a sharp decline (n = 285) in October 2020. An increasing trend in the number of cases was observed during March 2021 that reached a peak (n = 3203) in April 2021 during the second wave of the disease. Clearly, the patterns of the number of COVID-19 cases detected at different times were identical when the city of Pune and Bharati Hospital were compared.
Fig. 1

(A) The number of confirmed COVID-19 cases in the city of Pune from March 2020 to June 2021 and (B) the number of NPS specimens from suspected COVID-19 cases tested at the tertiary care hospital and the number that scored positive for SARS-CoV-2 RNA by RT-PCR (June 2020 to June 2021)

(A) The number of confirmed COVID-19 cases in the city of Pune from March 2020 to June 2021 and (B) the number of NPS specimens from suspected COVID-19 cases tested at the tertiary care hospital and the number that scored positive for SARS-CoV-2 RNA by RT-PCR (June 2020 to June 2021)

RBD sequence analysis

In view of the role of RBD in the attachment of the virus to the ACE2 receptor, in neutralization of the virus by antibodies, and as a major target for vaccine development, RBD sequences were monitored over time. Table 1 shows the frequency of selected mutations in the RBD region over a period of one year (May 2020 to June 2021). Until December 2020, none of the samples exhibited the characteristic mutations (K417N/T, E484K, N501Y, T478K) found in the variants of concern that have been identified so far. Two of the 15 samples from December 2020 contained the N440K mutation. At the beginning of March 2021, when the number of cases started showing an upward trend (Fig. 1B), we did not find the N501Y mutation, which is a characteristic of the UK variant (and shared by the Brazil and SA variants), or the K417N mutation that is found in the Brazil/SA variants.
Table 1

SARS-CoV-2 RBD mutant profiles during the first (2020) and second (2021) waves of COVID-19 in Pune, Western India*

Collection month (no. of samples sequenced)Original (Wuhan)
UK Alpha (N501Y)Indian**Others
Kappa (L452R, E484Q)Delta (L452R, T478K)N440KE484KE484Q
May 2020 (5)5 (100%)000000
Sep 2020 (10)10 (100%)000000
Dec 2020 (15)13 (87%)0002 (13%)00
Mar 2021 (45)4 (8.9%)033 (73.3%)2 (4.4%)2 (4.4%)3 (6.7%)1 (2.2%)
Apr 2021 (91)1 (1.1%)1 (1.1%)34 (37.3%)54 (59.3%)1 (1.1%)00
May 2021 (132)0010 (7.6%)122 (92.4%)000
June 2021(21)00021 (100%)000

*Mutants specific to Brazil/South Africa were not found. **Additionally, in 2021, the V382L mutation was found in 14 out of 289 COVID-19 cases (4.8%).

SARS-CoV-2 RBD mutant profiles during the first (2020) and second (2021) waves of COVID-19 in Pune, Western India* *Mutants specific to Brazil/South Africa were not found. **Additionally, in 2021, the V382L mutation was found in 14 out of 289 COVID-19 cases (4.8%). Strikingly, 70% of the NPS specimens sequenced during the beginning of March 2021 and 83% of the NPS samples sequenced at the end of March contained the L452R mutation observed in the California variant. In addition, instead of the E484K mutation seen in strains from Brazil and South Africa, Indian strains exhibited an E484Q mutation, defined later as the Kappa variant. Overall, in the month of March, 33 out of 45 samples (73%) harboured the India-specific L452R/E484Q mutations. Week-wise analysis revealed the same trend, with 70% and 76% of Kappa-related cases in the first and last week of March 2021. A simultaneous exponential rise in the number of COVID-19 cases (Fig. 1B) revealed a clear association of the emergence of this mutant with the second wave of the disease. Unfortunately, we did not collect samples during January or February, and hence, the possibility of earlier detection was missed. As shown in Table 1, we identified the V382L mutation in 4.8% of NPS specimens in 2021. Analysis of 91 RBD sequences from the samples collected during the month of April led to striking observations. At that time, 34 variants contained L452R/E484Q (37%), while 54 sequences harboured L452R/T478K mutations (59%), characteristic of the Delta variant. One sequence each exhibited the N501Y mutation characteristic of the UK strain, an N440K mutation, and no mutation. Overall, the L452R mutation increased from 0/30 in December to 123/136 (90%) in April (p < 0.001). Importantly, as compared to March (35/45), a significant rise in L452R mutants was seen in April (88/91, p = 0.001). Interestingly, at the same time, the frequency of the T478K mutation increased dramatically from 4% in March to 59% in April (p < 0.001). The increasing frequency of the dominant mutation L452R/T478K continued in May and June 2021, but we experienced a significant decline in the number of patients seeking COVID-19 diagnosis at the hospital (Table 1). Our results indicated that the dominant clade G virus strains in Pune seem to have been replaced by the variant of concern Delta (L452R/T478K) during the second wave of the disease.

Analysis of SARS-CoV-2 full genome sequences from Pune, India

During 2020-21, 20 full SARS-CoV-2 genomes from Pune were sequenced (two in May and two in September of 2020; 10 in March, two in April, and four in May of 2021). The four mutations, C241T, C3037T, C14408T, and A23403G, were observed in all 20 genome sequences from the clade “G” isolates (named after the D614G mutation). Of the 10 genomes from March 2021 selected for sequencing, four were wild type, while six were the Kappa variant (B.1.617.1) according to RBD analysis. As shown in Table 2, two sequences each from May and September 2020 belonged to lineage B.1.1.306 and clade 20B. Of the 10 sequences from March 2021, two (CD211295 [MW969753] and CD210761 [MZ021503] belonged to the original prevalent lineage B.1.1.306, clade 20B, while the other two sequences, CD210922 (MW969752) and CD210896 (EPI_ISL_1710598) belonged to separate lineages, B.1.1 (clade 20B) and B.1.36.29 (clade 20A), respectively, suggesting simultaneous low-level circulation of the wild-type virus. The remaining six sequences from March 2021 (CD210871 [MZ021506], CD210927 [MZ021505], CD210929 [MZ021504], CD211290 [MW969754], CD211294 [MW969755], and CD211406 [MW969756] formed a distinct lineage, B.1.617.1, Kappa variant (clade 21B). Two sequences from April 2021 (CD212095, CD212098) and four sequences from May 2021 (CD213366, CD213522, CD213523, and CD213570) formed a distinct clade, 21A, and belonged to the B.1.617.2 lineage (Delta variant, VoC).
Table 2

Comparison of spike protein mutations in the Indian variant and other variant viruses (reference: Wuhan strain, accession number, NC045512)

Pangolin lineageSequence ID*N-terminal domain in S1 subunitRBDC-terminal domain in S1 subunitS2 subunit
aa positionaa positionaa positionaa position
1819202627709513814214315417119022238241743344045247848450157061464765567567768171695098210271071110111181133115311761251
BNC-045512, WuhanLTTPAVTDGVEVRAVKVNLTENADAHQQPTDSTQHDVDVG
B.1.1.3068003-IRSHA (MT416725)GH
8004-IRSHA (MT416726)GH
B.1.1.306CD208550 (MW969758)G
CD208560 (MW969757)IGV
B.1.1CD210922 (MW969752)FGHF
B.1.36.29CD210896 (EPI_ISL_1710598)KG
B.1.1.306CD211295 (MW969753)FSIKGH
B.1.1.306CD210761 (MZ021503)FSKGH
B.1.617.1CD210871 (MZ021506)IDRQGRH
B.1.617.1CD210927 (MZ021505)DKLRQGRHY
B.1.617.1CD210929 (MZ021504)DKLRQGRHY
B.1.617.1CD211290 (MW969754)DKLRQGSRHY
B.1.617.1CD211406 (MW969756)DKLRQGRHY
B.1.617.1CD211294 (MW969755)DKRQGRHD
B.1.617.2CD212098 (MZ574054)RDVRKGRN
B.1.617.2CD213366 (MZ574051)RDRKGRN
B.1.617.2CD212095 (MZ574052)RDRKGRN
B.1.617.2CD213570 (MZ574053)RDRKGRN
B.1.617.2CD213522 (MZ574055)RDRKGRN
B.1.617.2CD213523 (MZ574056)RDRKGRN
B.1.617.2EPI_ISL_2880930 (India/HR)RVRKGR
B.1.617.2EPI_ISL_2272481 (India/DL)RDVRKGRN
B.1.617.2EPI_ISL_2036277 (India/WB)RDRKGRN
B.1.617.2EPI_ISL_2897823 (India/MH)RRKGR
B.1.617.2EPI_ISL_2956019 (Sweden)RDVRKGRN
B.1.617.2EPI_ISL_2958767 (France)RRKGRN
AY.2EPI_ISL_2923711 (USA/CA-CDPH)RFVNRKGRN
AY.2EPI_ISL_2545667 (USA/HI-TAMC)RFDVNRKGRN
AY.2EPI_ISL_2929274 (USA/CA-CDC)RFDVNRKGRN
AY.2EPI_ISL_2928214 (USA/CA-OC)RFVNRKGRN
B.1.1.7 (UK)EPI_ISL_601443YDGHIAH
B.1.1.7 (L18F)EPI_ISL_720875FYDGHIAH
B.1.1.7 (F490S)EPI_ISL_736026YDGHIAH
B.1.1.7 (S494P)EPI_ISL_741039YDGHIAH
B.1.1.7 (E484K)EPI_ISL_782148KYDGHIAH
B.1.351 (SA)EPI_ISL_1012924NKYG
P.1 (Brazil)EPI_ISL_792681FNSYSTKYGYIF
P.1 (Brazil)EPI_ISL_875566FNSYSTKYGYIF
P.1 (Brazil)EPI_ISL_875567FNSYSTKYGYIF
P.1 (Brazil)EPI_ISL_875568FNSYSTKYGYIF
B.1.427 (California, L452R)EPI_ISL_1620465RG
B.1.429EPI_ISL_824555RG
B.1.525 (E484K)EPI_ISL_1615794KG
B.1.2EPI_ISL_824741G
B.1.1.432EPI_ISL_913915G

*Sequence IDs in bold denote sequences from India. Black, wild type; red, variant viruses

Comparison of spike protein mutations in the Indian variant and other variant viruses (reference: Wuhan strain, accession number, NC045512) *Sequence IDs in bold denote sequences from India. Black, wild type; red, variant viruses Complete genome sequence analysis of sample CD210896 (EPI_ISL_1710598) revealed an in-frame stop codon in Orf3a at amino acid position 261 (nucleotide position 26,173). The first strain with this amino acid change was reported in Germany (hCoV-19/Germany/NW-KRO-2355/2020) in March 2020 and more recently in England in June 2021 (hCoV-19/England/HSLL-17FBAD3/2021). It has been reported in 35 countries so far (https://www.gisaid.org/epiflu-applications/covsurver-mutations-app/).

Spike protein

Next, spike protein sequences from the Indian variants were compared with those of other known variants (Table 2). The Indian variants formed two distinct clusters, B.1.617.1 (Kappa) and B.1.617.2 (Delta). The presence of the D614G mutation in all of the Indian sequences revealed that clade G continued to be the only clade circulating so far in Pune. Mutations specific to the recently emergent variants (UK, South Africa, Brazil, and California) were not shared by the Indian variants; however, signature mutations of the Delta variant were observed in all six sequences obtained in April and May of 2021. Two sequences from 2021 (CD211295 [MW969753] and CD210761 [MZ021503]) belonging to the original prevalent lineage B.1.1.306 had four characteristic mutations, L18F, A27S, E484K, and Q675H, in the spike protein. None of these mutations were present in the four sequences from 2020, suggesting that SARS-CoV-2 is continuously evolving. Two isolates, CD210922 (MW969752) and CD210896 (EPI_ISL_1710598), had the unique mutations V143F, Q677H, and N440K (Table 2). All six Indian variants of the B.1.617.1 lineage exhibited five unique mutations: G142D, L452R, E484Q, P681R, and Q1071H. Additionally, the E154K mutation was found in five and the V382L and D1153Y mutations were found in four of the six Kappa variants. For the Delta variant, all six sequences belonged to B.1.617.2 lineage and had six unique mutations (T19R, G142D, L452R, T478K, P681R, and D950N). Together with the substitution E156G, two deletions at F157 and R158 were identified. Notably, the position of the P681R mutation in the Kappa and Delta variants is immediately adjacent to the furin cleavage site (682-685). In vitro site-directed mutagenesis experiments have shown that this mutation leads to an increase in the fusion activity of the SARS-CoV-2 spike protein [14]. Importantly, P681H was present in the UK variant B.1.1.7 (Table 2). The acquisition of A222V and K417N by the Delta variant (AY.2 lineage) was associated with an upsurge in COVID-19 cases in Europe and the USA, and importantly, these amino acid changes were not found in the Delta variants from this study.

Nucleoprotein

The Indian variants were distinct in this protein as well (Table 3) and did not share the D3L and S236F mutations and the P80R mutation seen in the UK and Brazilian variants, respectively. The two Indian sequences (CD211295, CD210761) had tyrosine (Y) instead of leucine (L) at the third amino acid position, as was observed in the UK strain. The R203M and D377Y mutations were observed in all twelve Kappa and Delta variants. At position 203, the change is from a hydrophilic arginine to a hydrophobic methionine, while at position 377, aspartic acid is changed to tyrosine. The biological significance of these mutations needs to be evaluated. The remaining Indian sequences continued to harbour the R203K and G204R mutations, which were present since May 2020. One Indian sequence (CD210896_EPI_ISL_1710598) was unique, without amino acid substitutions at positions 203 and 204. Like the Delta variant, the six Indian variants contained the unique mutation D63G.
Table 3

Mutations in the nucleocapsid protein with reference to the Wuhan strain (accession number, NC045512).

Domain of the nucleocapsid proteinN-terminal domainSR-richLinker region
Amino acid position236380119142194203204236377
Pangolin lineageSequence ID*
BNC-045512 (Wuhan)SDDPAPSRGSD
B.1.1.3068003-IRSHA (MT416725)KR
8004-IRSHA (MT416726)KR
B.1.1.306208550 (MW969758)KR
208560 (MW969757)KR
B.1.1CD210922 (MW969752)KR
B.1.36.29CD210896 (EPI_ISL_1710598)PL
B.1.1.306CD211295 (MW969753)YSKR
B.1.1.306CD210761 (MZ021503)YTKR
B.1.617.1CD210871 (MZ021506)MY
B.1.617.1CD210927 (MZ021505)MY
B.1.617.1CD210929 (MZ021504)MY
B.1.617.1CD211290 (MW969754)MY
B.1.617.1CD211406 (MW969756)MY
B.1.617.1CD211294 (MW969755)MY
B.1.617.2CD212098 (MZ574054)GMY
B.1.617.2CD213366 (MZ574051)GMY
B.1.617.2CD212095 (MZ574052)GMY
B.1.617.2CD213570 (MZ574053)GMY
B.1.617.2CD213522 (MZ574055)GMY
B.1.617.2CD213523 (MZ574056)GMY
B.1.617.2EPI_ISL_2880930 (India/HR)GMY
B.1.617.2EPI_ISL_2272481 (India/DL)GMY
B.1.617.2EPI_ISL_2036277 (India/WB)GMY
B.1.617.2EPI_ISL_2897823 (India/MH)GMY
B.1.617.2EPI_ISL_2956019 (Sweden)GMY
B.1.617.2EPI_ISL_2958767 (France)GMY
AY.2EPI_ISL_2923711 (USA/CA-CDPH)GMY
AY.2EPI_ISL_2545667 (USA/HI-TAMC)GMY
AY.2EPI_ISL_2929274 (USA/CA-CDC)GMY
AY.2EPI_ISL_2928214 (USA/CA-OC)GMY
B.1.1.7 (UK)EPI_ISL_601443LKRF
B.1.1.7 (L18F)EPI_ISL_720875LKRF
B.1.1.7 (F490S)EPI_ISL_736026LKRF
B.1.1.7 (S494P)EPI_ISL_741039LKRF
B.1.1.7 (E484K)EPI_ISL_782148LKRF
B.1.351 (SA)EPI_ISL_1012924
P.1 (Brazil)EPI_ISL_792681RKR
P.1 (Brazil)EPI_ISL_875566RKR
P.1 (Brazil)EPI_ISL_875567RKR
P.1 (Brazil)EPI_ISL_875568RKR
B.1.427 (California, L452R)EPI_ISL_1620465
B.1.429EPI_ISL_824555
B.1.525 (E484K)EPI_ISL_1615794
B.1.2EPI_ISL_824741
B.1.1.432EPI_ISL_913915KR

*Sequence IDs in bold denote sequences from India. Black, wild type; red, variant viruses

Mutations in the nucleocapsid protein with reference to the Wuhan strain (accession number, NC045512). *Sequence IDs in bold denote sequences from India. Black, wild type; red, variant viruses

Other genomic regions

The other genome regions were also compared with the Wuhan strain as well. The Kappa-variant-specific mutations were Nsp3-T749I, Nsp6-T77A (Orf1a), Nsp12-P323L, Nsp13-M429I, Nsp15-K259R (Orf1b), S26L (Orf3a), I33T (Orf6), and V82A (Orf7a). The other proteins (E, M, Orf7b, Orf8, and Orf10) remained unchanged in the Kappa variant. The Indian Delta variant-specific mutations were G210T (5’UTR) Nsp2-P129L, Nsp3-P822L, Nsp4-A446V, Nsp6-V149A (Orf1a), Nsp12-P323L, Nsp12-G671S, Nsp13-P77L (Orf1b), S26L (Orf3a), I82T (M), V82A, T120I (Orf7a), and deletions of D119 and F120 in Orf8. The other proteins (E, Orf6, Orf7b, and Orf10) remained unchanged in the Delta variant.

Discussion

Here, we report the association of the emergence of two SARS-CoV-2 variants with the progression of the second wave of COVID-19, as evidenced by the data from a large tertiary care hospital in Pune, India. At the beginning of the pandemic, diagnostic facilities were available only at a few national laboratories, and hence, the first five samples analysed in May 2020 came from a central treatment facility. From the first week of June onward, BVDUMCH, a tertiary care hospital at Pune serving a population of 5 million (2011 census), was permitted to undertake RT-PCR testing for COVID-19 diagnosis. Therefore, the subsequent 314 samples were collected at BVDUMCH. Although our study is restricted to a single hospital, it does reflect situation in the city of Pune. The variants of concern (VoC) identified as UK, Brazil, and SA were not detected during the first wave of the disease in 2020. It seems that the spread of SARS-CoV-2 during the first wave of disease in India could be attributed to the replacement of clade L (original Wuhan strain) with clade G, characterized by the spike mutation D614G. All of the Pune strains exhibited this mutation and belonged to clade G. Notably, the D614G mutation was shown to enhance the rate of SARS-CoV-2 infection in the upper airway [15, 16]. The second wave in India was first noticed in the state of Maharashtra, to which Pune belongs. The emergence of the second wave was characterized by the appearance of the Kappa variant in the first week of March 2021 (Table 1). Within weeks, the virus evolved further, replacing the E484Q mutation with T478K, and this variant was later named the Delta variant. Interestingly, the L452R mutation was maintained. Later, both variants circulated for a time until the Delta variant became dominant. The reasons for the simultaneous mutations at positions 484 and 478 in the RBD and the replacement of the highly transmissible Kappa variant with the Delta variant are not yet clear. The role of factors other than the error-prone replication of RNA viruses remains to be determined. Another puzzling fact is the association of the emergence of the Delta variant in Pune with the sharp decline in the number of cases. The role of other mutations in the viral genome and host immunity needs to be examined. Because India is a large country with distinct geographic and socioeconomic differences, the second wave of COVID-19 was recorded in different states at different time points, starting with the state of Maharashtra. As a result, although there was an early peak in Pune and the state of Maharashtra, the peak of the second wave for the country as a whole did not occur until 2021 [13, 17]. It was observed that the UK variant was predominant in the North Indian states of Punjab and Delhi [18]. At the time of submission of this manuscript, similar observations of co-circulation of novel Kappa and Delta variants had been reported in Maharashtra [12]. According to WHO, the Kappa and Delta variants accounted for 21% and 7% of the sequenced samples from India in late April 2021 [19]. In a recent study in Houston, USA, all of the known mutants, in variable proportions, were detected at a single centre [20]. Outside India, the United Kingdom reported a large upsurge in the number of COVID-19 cases caused by the Delta variant, prompting WHO to declare this variant a VoC, on May 6, 2021. In the third week of June, a 79% rise in the number of COVID-19 cases in the UK was due to the Delta variant. Around the same time, the Delta variant accounted for more than 20% of the cases in USA. This variant was reported to have a faster growth rate than the UK variant [19, 21]. According to the technical briefings by Public Health England, despite the dominance of the Delta variant in UK, the rise in hospital admissions and deaths was lower than the rate of new infections [22, 23]. Regarding the L452R and E484Q mutations in the Kappa variant, the substitution of a hydrophobic leucine (L) with a hydrophilic arginine (R) is similar to what occurred in the California variant, which was shown to correlate with increased transmissibility and decreased antibody neutralization [24]. Instead of lysine at position 484, as is found in the SA and Brazil variants, the Kappa variant has glutamine. In two different sequences, E484K was present without any change at position 452 (Table 2). The E484K variant is of serious concern because of its resistance to some therapeutic monoclonal antibodies and decreased in vitro neutralization by the serum samples from patients infected with the original SARS-CoV-2. In this regard, an elegant study by Greaney et al. is noteworthy [25]. By employing a deep mutational scanning method, they were able to assess the effect of even a single mutation in the RBD region on the binding/neutralization of well-characterized plasma samples from COVID-19 patients. Mutations at position E484 were most striking in terms of reduction in neutralization titers. More importantly, mutations to K, Q, or P led to a 10- to 60-fold decrease in the neutralizing antibody titer. Thus, the position 484 is crucial for the interaction of neutralizing antibodies with the RBD region, and mutations at this position result in a reduction in neutralizing antibody titers. Several countries have witnessed a striking increase in the number of COVID-19 cases attributed to the emergence of the Delta variant. This variant is characterized by a mutation at T478 in the RBD, which is located near the interface of the RBD binding site with the ACE2 receptor. With the T478I mutation, moderate resistance to neutralization by two monoclonal antibodies and convalescent sera from two COVID-19 patients has been documented [26]. In in-vitro experiments, an increased binding affinity of the T478K mutant for the ACE2 receptor has been shown [27]. It is pertinent to note here that a recent increase in COVID-19 cases in New York, USA, was observed to be due to the introduction of B.1.243 lineage strain with P681H and T478K mutations [28]. The immunoreactivity of the variants currently in circulation in Pune with antibodies induced by wild-type viral infection and vaccines would decide the degree of reinfections/infections among previously infected COVID-19 patients and vaccine recipients. In vaccine breakthrough infections in healthcare workers at three centres in Delhi, India, the Delta variant B.1.617.2 had 3.2-fold higher transmissibility than the UK variant, B.1.1.7 [29]. In line with these observations, the Delta variant caused a higher rate of re-infections when compared to the Alpha strain in the UK [23]. Interestingly, two Indian strains (CD211295-MW969753, CD210761-MZ021503) had a combination of two substitutions, L18F and E484K. The L18F substitution was dominant in England before the emergence of the UK strain. It was shown that the proportion of genomes with the L18F mutation increased from 35% in September to 43% in October and to 52% in November 2020, suggesting that this mutation facilitates virus transmission [30]. The role of simultaneous L18F and E484K mutations in virus transmission needs to be evaluated. Apart from the mutations of concern described above, V382L (9/55, 16.4%) and N440K (4/55, 7.3%) substitutions were found in the 2021 sequences (Table 1). The prevalence of an RBD variant with N440K was estimated to be 2.1% in India, with ~34% in Andhra Pradesh, a southern Indian state [31]. The N440K mutation was also reported in COVID-19 reinfection cases from northern India [32]. The N440K mutant showed enhanced binding affinity to the human ACE2 receptor and resulted in immune escape from a panel of neutralizing monoclonal antibodies [33, 34]. The protease cleavage site (aa 675-692) in the spike protein is the most prone to mutation. The Kappa and Delta variants both contained a mutation at position 681, located adjacent to the furin cleavage site (aa 682-685), that was shown to facilitate efficient SARS-CoV-2 transmission and infection [14, 35]. The rapid global spread of the UK variant with P681H and P681R mutations is well known. Although we also found substitutions in other regions of the genome, their significance remains unclear. The Delta variant is continuously evolving, and a new variant, AY.1 (delta plus, B.1.617.2.1), carrying an additional K417N mutation, is emerging in India and the UK. This particular mutation was first identified in B.1.351, the Beta variant, in Brazil. Acquisition of the K417N and A222V mutations by Delta resulted in the emergence of AY.2, which is being associated with an upsurge in COVID-19 infections in the United States. In summary, the beginning of the second wave of COVID-19 in Pune in March 2021 was associated with the first emergence of the Kappa variant, followed immediately by the Delta variant, which then almost completely replaced the Kappa variant. Although the cases have declined significantly since May 2021, molecular surveillance needs to be continued. Monitoring of the emergence of newer mutations and assessment of their association with virus transmission and infection of vaccinated or previously exposed individuals continues to be of utmost importance. Below is the link to the electronic supplementary material. Supplementary file1 (DOCX 63 kb)
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1.  Emergence of a Novel SARS-CoV-2 Variant in Southern California.

Authors:  Wenjuan Zhang; Brian D Davis; Stephanie S Chen; Jorge M Sincuir Martinez; Jasmine T Plummer; Eric Vail
Journal:  JAMA       Date:  2021-04-06       Impact factor: 56.272

2.  Sequence Analysis of 20,453 Severe Acute Respiratory Syndrome Coronavirus 2 Genomes from the Houston Metropolitan Area Identifies the Emergence and Widespread Distribution of Multiple Isolates of All Major Variants of Concern.

Authors:  S Wesley Long; Randall J Olsen; Paul A Christensen; Sishir Subedi; Robert Olson; James J Davis; Matthew O Saavedra; Prasanti Yerramilli; Layne Pruitt; Kristina Reppond; Madison N Shyer; Jessica Cambric; Ilya J Finkelstein; Jimmy Gollihar; James M Musser
Journal:  Am J Pathol       Date:  2021-03-16       Impact factor: 4.307

3.  A Multibasic Cleavage Site in the Spike Protein of SARS-CoV-2 Is Essential for Infection of Human Lung Cells.

Authors:  Markus Hoffmann; Hannah Kleine-Weber; Stefan Pöhlmann
Journal:  Mol Cell       Date:  2020-05-01       Impact factor: 17.970

4.  Identification of SARS-CoV-2 spike mutations that attenuate monoclonal and serum antibody neutralization.

Authors:  Zhuoming Liu; Laura A VanBlargan; Louis-Marie Bloyet; Paul W Rothlauf; Rita E Chen; Spencer Stumpf; Haiyan Zhao; John M Errico; Elitza S Theel; Mariel J Liebeskind; Brynn Alford; William J Buchser; Ali H Ellebedy; Daved H Fremont; Michael S Diamond; Sean P J Whelan
Journal:  Cell Host Microbe       Date:  2021-01-27       Impact factor: 31.316

5.  Resurgence of COVID-19 in Manaus, Brazil, despite high seroprevalence.

Authors:  Ester C Sabino; Lewis F Buss; Maria P S Carvalho; Carlos A Prete; Myuki A E Crispim; Nelson A Fraiji; Rafael H M Pereira; Kris V Parag; Pedro da Silva Peixoto; Moritz U G Kraemer; Marcio K Oikawa; Tassila Salomon; Zulma M Cucunuba; Márcia C Castro; Andreza Aruska de Souza Santos; Vítor H Nascimento; Henrique S Pereira; Neil M Ferguson; Oliver G Pybus; Adam Kucharski; Michael P Busch; Christopher Dye; Nuno R Faria
Journal:  Lancet       Date:  2021-01-27       Impact factor: 79.321

6.  Early transmissibility assessment of the N501Y mutant strains of SARS-CoV-2 in the United Kingdom, October to November 2020.

Authors:  Kathy Leung; Marcus Hh Shum; Gabriel M Leung; Tommy Ty Lam; Joseph T Wu
Journal:  Euro Surveill       Date:  2021-01

7.  Transmission, infectivity, and neutralization of a spike L452R SARS-CoV-2 variant.

Authors:  Xianding Deng; Miguel A Garcia-Knight; Mir M Khalid; Venice Servellita; Candace Wang; Mary Kate Morris; Alicia Sotomayor-González; Dustin R Glasner; Kevin R Reyes; Amelia S Gliwa; Nikitha P Reddy; Claudia Sanchez San Martin; Scot Federman; Jing Cheng; Joanna Balcerek; Jordan Taylor; Jessica A Streithorst; Steve Miller; Bharath Sreekumar; Pei-Yi Chen; Ursula Schulze-Gahmen; Taha Y Taha; Jennifer M Hayashi; Camille R Simoneau; G Renuka Kumar; Sarah McMahon; Peter V Lidsky; Yinghong Xiao; Peera Hemarajata; Nicole M Green; Alex Espinosa; Chantha Kath; Monica Haw; John Bell; Jill K Hacker; Carl Hanson; Debra A Wadford; Carlos Anaya; Donna Ferguson; Phillip A Frankino; Haridha Shivram; Liana F Lareau; Stacia K Wyman; Melanie Ott; Raul Andino; Charles Y Chiu
Journal:  Cell       Date:  2021-04-20       Impact factor: 41.582

8.  Local Transmission of SARS-CoV-2 Lineage B.1.1.7, Brazil, December 2020.

Authors:  Ingra Morales Claro; Flavia Cristina da Silva Sales; Mariana Severo Ramundo; Darlan S Candido; Camila A M Silva; Jaqueline Goes de Jesus; Erika R Manuli; Cristina Mendes de Oliveira; Luciano Scarpelli; Gustavo Campana; Oliver G Pybus; Ester Cerdeira Sabino; Nuno Rodrigues Faria; José Eduardo Levi
Journal:  Emerg Infect Dis       Date:  2021-01-26       Impact factor: 16.126

9.  Comprehensive mapping of mutations in the SARS-CoV-2 receptor-binding domain that affect recognition by polyclonal human plasma antibodies.

Authors:  Allison J Greaney; Andrea N Loes; Katharine H D Crawford; Tyler N Starr; Keara D Malone; Helen Y Chu; Jesse D Bloom
Journal:  Cell Host Microbe       Date:  2021-02-08       Impact factor: 21.023

Review 10.  Novel SARS-CoV-2 variants: the pandemics within the pandemic.

Authors:  Erik Boehm; Ilona Kronig; Richard A Neher; Isabella Eckerle; Pauline Vetter; Laurent Kaiser
Journal:  Clin Microbiol Infect       Date:  2021-05-17       Impact factor: 8.067

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  1 in total

1.  Time dependent decline of neutralizing antibody titers in COVID-19 patients from Pune, India and evidence of reinfection.

Authors:  Purwa Doke; Jayshree Sachin Gothankar; Prakash Prabhakarrao Doke; Milind Madhukar Kulkarni; Kiran Kishanrao Khalate; Shubham Shrivastava; Jayesh Rangrao Patil; Vidya Avinash Arankalle
Journal:  Microbes Infect       Date:  2022-04-20       Impact factor: 9.570

  1 in total

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