| Literature DB >> 35847066 |
Bharati Singh1,2, Kiran Avula1,3, Sanchari Chatterjee1,3, Ankita Datey1,2, Arup Ghosh1,2, Saikat De1,3, Supriya Suman Keshry1,2, Soumyajit Ghosh1,3, Amol Ratnakar Suryawanshi1, Rupesh Dash1, Shantibhusan Senapati1, Tushar K Beuria1, Punit Prasad1, Sunil Raghav1, Rajeeb Swain1, Ajay Parida1, Gulam Hussain Syed1, Soma Chattopadhyay1.
Abstract
The emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) as a serious pandemic has altered the global socioeconomic dynamics. The wide prevalence, high death counts, and rapid emergence of new variants urge for the establishment of research infrastructure to facilitate the rapid development of efficient therapeutic modalities and preventive measures. In agreement with this, SARS-CoV-2 strains were isolated from patient swab samples collected during the first COVID-19 wave in Odisha, India. The viral isolates were adapted to in vitro cultures and further characterized to identify strain-specific variations in viral growth characteristics. The neutralization susceptibility of viral isolates to vaccine-induced antibodies was determined using sera from individuals vaccinated in the Government-run vaccine drive in India. The major goal was to isolate and adapt SARS-CoV-2 viruses in cell culture with minimum modifications to facilitate research activities involved in the understanding of the molecular virology, host-virus interactions, drug discovery, and animal challenge models that eventually contribute toward the development of reliable therapeutics.Entities:
Keywords: COVID-19; Indian isolates; SARS CoV-2; growth kinetics; isolation
Year: 2022 PMID: 35847066 PMCID: PMC9279865 DOI: 10.3389/fmicb.2022.856913
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 6.064
Details of the various cell lines used in this study.
| S. No | Cell line | Source |
| 1. | Vero | Monkey kidney epithelial cell line |
| 2. | Vero-E6 | Monkey kidney epithelial cell line |
| 3. | HEK 293T | Human embryonic kidney cell line |
| 4. | Huh-7 | Human hepatoma cell line |
| 5. | CaCo2 | Human colon epithelial cell line |
| 6. | BHK-21 | Hamster kidney epithelial cell line |
| 7. | THP | Human monocytes cells |
| 8. | RAW 264.7 | Mouse monocytes cells |
Accession numbers of the genome sequence and clade information of the viral RNA from source swab samples (S) and isolated and culture adapted viruses (A) used in this study.
| Name | Accession no | Clade |
| ILS01 | 19A | |
| 19A | ||
| ILS02 | 20A | |
| 19B | ||
| ILS03 | 20A | |
| 20A | ||
| ILS15 | 20B | |
| 20A | ||
| ILS24 | 19B | |
| 19B |
FIGURE 1Characterization of isolated SARS-CoV-2 circulating strains. The SARS-CoV-2 circulating strains were isolated from the swab samples of COVID-19 patients via a sequential passage in Vero E6 cells, as described in the “Materials and Methods” section. The viral titers, cytopathic effects, and gene expression were determined in the 10th passage of viral stocks. Quantification of viral titers of the five isolates by plaque-forming unit (PFU) assay (A) and TCID50 assay (B). Absolute quantification of viral genome copies in all five isolates using gene-specific primer and probes targeting SARS-CoV-2 nucleocapsid and ORF-1 gene (C). Bright-field images depicting cytopathic effect in Vero E6 cells infected with the five isolates (D). Western blot analysis of infected Vero E6 cell lysates with antibodies against SARS-CoV-2 spike and nucleocapsid (E). GAPDH was used as a protein loading control. Quantification was done by densitometry using ImageJ software and the number represented the fold of each (spike or nucleocapsid) value normalized to the value of GAPDH. Detection of SARS-CoV-2-infected cells by immunofluorescence using an antibody against SARS-CoV-2 nucleocapsid in Vero E6 cells infected with 0.1 MOI of respective isolates (F) and quantification of the percentage of infection 48 hpi (G). Data are the mean value ± SD (n = 3). Statistical significance was determined using one-way ANOVA (A,B,G) and two-way ANOVA (C) and; *P < 0.05; **P < 0.01; ***P < 0.001; ns, not significant (P > 0.05). Non-significant value is not shown.
FIGURE 2Time kinetics of viral gene(s) expression. Vero E6 cells infected with respective isolates of SARS-CoV-2 were collected at indicated time points post-infection. Cell lysates were subjected to Western blot analysis with antibodies against SARS-CoV-2 spike and nucleocapsid proteins for each isolates individually (A–E). GAPDH was used as an internal loading control. Quantification was done by densitometry using ImageJ software and the number represented the fold of each (spike or nucleocapsid) value normalized to the value of GAPDH.
FIGURE 3Viral growth kinetics and cytopathy. Infection-associated cytopathy was determined by calculating LDH release, as described in the “Materials and Methods” section. (A–E) Graph depicting the percentage of cytotoxicity in the infected Vero E6 cells at respective time points post-infection. (F) Line plot depicting% cytotoxicity in between the isolation. (G) Line plot showing a time-dependent increase in the viral genome copies in culture supernatants determined by absolute quantification of the viral genome. Data are the mean value ± SD (n = 3). Statistical significance was determined using one-way ANOVA; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 ns, not significant (P > 0.05).
FIGURE 4Susceptibility of various cell lines to the SARS-CoV-2 isolates. Different cell lines were subjected to infection with 0.1 MOI of respective isolates. At 24 hpi, the viral load in the culture supernatants was determined by absolute quantification of viral genome copies. Graphs depicting the viral copies per milliliter of the supernatant in Huh7 (A), Caco2 (B), HEK 293T (C), THP1 (D), RAW 264.7 (E), Vero (F), Vero E6 (G), and BHK-21 (H) cells. Data are the mean value ± SD (n = 3). Statistical significance was determined using one-way ANOVA; *P < 0.05; **P < 0.01; ***P < 0.001; ****P < 0.0001 ns, not significant (P > 0.05). Non-significant value is not shown.
FIGURE 5Neutralization potential of sera obtained from vaccinated individuals: The respective isolates were subjected to micro-neutralization assay using the sera obtained from Covaxin and Covishield vaccinated individuals to determine the neutralization potential of the post-vaccination sera against the respective isolates. The dose-response curves were fitted using a non-linear regression model using the GraphPad software Prism 5. (A–E) Neutralization efficiency of the respective vaccinated sera against the five isolates. Horse sera were used as a negative control.
Tabular representation of genome sequences of all five isolates with reference to Wuhan strain (NC_045512).
| Sample | Name | Clade | Total coverage | Missing region | Number of missing bases | Total mutation |
| Swab (S) | ILS01 | 19A | 29,665 | 1–30 | 30 | 11 |
| ILS02 | 20A | 29,836 | 1–54,521–530 | 64 | 27 | |
| ILS03 | 20A | 29,688 | 1–2 | 2 | 9 | |
| ILS15 | 20B | 29,680 | 1–33 | 33 | 9 | |
| ILS24 | 19B | 29,805 | 1–30 | 30 | 6 | |
| Adapted virus (A) | ILS01 | 19A | 29,836 | 1–32 | 32 | 12 |
| ILS02 | 19B | 29,873 | 1–4 | 4 | 11 | |
| ILS03 | 20A | 29,836 | 1–4 | 4 | 11 | |
| ILS15 | 20A | 29,836 | 1–29 | 29 | 6 | |
| ILS24 | 19B | 29,836 | 1–29 | 29 | 9 |
*Represents intergenic, non-synonymous, and synonymous mutations in all the isolates.
Tabular representation of SARS-CoV-2 gene-specific non-synonymous mutations in both the swab samples and cell culture adapted strains.
| Name | (Number of mutation) source sample | (Number of mutation) adapted virus | Common mutations | Reversion of mutation | Gain of mutation |
| ILS01 | 11 | 12 | ORF1ab; (G11083T, C13730T, C19524T, G1820A, C6310A, C1498T, C6312A, C9451T) | None | Spike; (A23014C) |
| ILS03 | 9 | 11 | 5′-UTR; C241T, ORF1ab; (C3037T, C14408T, T20874A, C21297A), Spike; (C21614T, G22343A, A23403G) | None | ORF1ab; (G19514T), |
| ILS15 | 9 | 6 | 5′-UTR; C241T, ORF1ab; (C3037T, C14408T), Spike; (A23403G) | ORF1ab; (C8917T, G9389A), | Spike; (T21703G, C22444T) |
| ILS24 | 6 | 9 | ORF1ab; C8782T, Spike;G22468T, ORF8; (T28144C), Nucleocapsid; (G28878A) | Membrane; (G26730T) | ORF1ab; (C2143T, C10138T, C10702T) Nucleocapsid; (G28326T) |
*Represents intergenic, non-synonymous, and synonymous mutations.
FIGURE 6Mutation plot of the isolates and source swab samples: Dot plot representing high-quality single-nucleotide non-synonymous and intergenic variants (SNV) present in the initial viral RNA isolated from patients’ swab samples (denoted as S) and viral RNA from culture adapted isolates (denoted as A). The large dot represents the presence of an SNV in the represented sample colored by their functional annotations (gray for intergenic and red for non-synonymous SNVs). The synonymous mutation is not shown in the dot plot.
Tabular representation of the pangolin and next strain classification of the isolates and parent strains.
| Virus | Pangolin lineage | Next strain lineage |
| ILS01(S) | B.6.6 | 19A |
| ILS01 (A) | B.6.6 | 19A |
| ILS03_(S) | B.1 | 20A |
| ILS03_(A) | B.1 | 20A |
| ILS15_(S) | B.1.1 | 20B |
| ILS15_(A) | B.1.36.8 | 20A |
| ILS24_(S) | A | 19B |
| ILS24_(A) | A.7 | 19B |
FIGURE 7Phylogenetic network analysis of the isolated viruses: Maximum likelihood (ML) tree of studied viral sequences in combination with 33 SARS-CoV-2 genome sequences representing different countries around the globe including four sequences from Odisha, India. Bootstrap (n = 1,000) values are represented as branch labels.