| Literature DB >> 33015402 |
Alireza Hanifehnezhad1, Ebru Şahin Kehribar2, Sıdıka Öztop3, Ali Sheraz2, Serkan Kasırga2, Koray Ergünay4, Sevgen Önder5, Erkan Yılmaz6, Doruk Engin6, T Çiğdem Oğuzoğlu1, Urartu Özgür Şafak Şeker2, Engin Yılmaz7, Aykut Özkul1,6.
Abstract
TheEntities:
Keywords: Bioinformatics; Epidemiology; Genome; IFNAR−/− mice; Isolate; Microbiology; Respiratory system; SARS-CoV-2; Viral disease; Viral genetics; Virology
Year: 2020 PMID: 33015402 PMCID: PMC7522675 DOI: 10.1016/j.heliyon.2020.e05116
Source DB: PubMed Journal: Heliyon ISSN: 2405-8440
Figure 1Cytopathology of SARS-Cov-2 Ank-1 isolate in Vero E6 cells. Upper row: (unstained): mock-infected cells (A), virus-infected cells (B); Lower row (crystal violet): mock-infected cells (C), D: virus-infected cells (D). White arrowheads indicate hyperchromatic cells around detached areas.
Figure 2One-step growth curve for SARS-CoV-2-Ank1 and SARS-CoV-2-Ank2 isolates.
Functional topology and diversity rates of the SARS-CoV-2 isolates.
| Region | Position | Size | Protein | Diversity |
|---|---|---|---|---|
| 5′UTR | 1–258 | 259 | - | - |
| ORF1a | 259–13476 | 13218 | 4405 | 0.7 |
| ORF 1b | 13461–21548 | 8088 | 2695 | 0.5 |
| S | 21556–25377 | 3822 | 1273 | 0.3 |
| ORF3a | 25386–26213 | 828 | 275 | 0.4 |
| E | 26238–26465 | 228 | 75 | 0 |
| M | 26516–27184 | 669 | 222 | 0.1 |
| ORF6 | 27195–27380 | 186 | 61 | 0 |
| ORF7a | 27387–27752 | 366 | 121 | 0 |
| ORF7b | 27749–27880 | 132 | 43 | 0 |
| ORF8 | 27887–28252 | 366 | 121 | 0.9 |
| N | 28267–29526 | 1260 | 419 | 0.5 |
| ORF10 | 29551–29667 | 117 | 38 | 0 |
| 3′UTR | 29668–29868 | 201 |
Indicates maximum deduced amino acid diversity in percent, following removal of ambiguities in alignments.
Figure 3Phylogenetic analysis of the SARS-CoV-2 isolates. The evolutionary history was inferred using the Neighbor-Joining method (Saitou and Nei, 1987). The percentage of replicate trees in which the associated taxa clustered together in the bootstrap test (500 replicates) are shown next to the branches (Felsenstein, 1985). The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Maximum Composite Likelihood method (Tamura et al., 2004) and are in the units of the number of base substitutions per site. This analysis involved 39 nucleotide sequences. All ambiguous positions were removed for each sequence pair (pairwise deletion option). There were a total of 29903 positions in the final dataset. Evolutionary analyses were conducted in MEGA X (Kumar et al., 2018; Stecher et al., 2020). Viruses are indicated by country of detection, isolate name, GISAID database accessiun number and date. Bootstrap values lower than 50 are not shown. Solid triangles indicate local SARS-CoV-2 isolates, Ank1 and Ank2. Main virus lineages are shown on the tree (Rambaut et al., 2020).
Occurence of the 20 most frequent mutation events observed in SARS-CoV-2 genomes.
| Mutation | Target | Outcome | Frequency (%) |
|---|---|---|---|
| C1059T | NSP2 | amino acid change (T85I) | 3.1 |
| G1440A | NSP2 | amino acid change (G212D) | 0 |
| ATG1605del | NSP2 | deletion | 0 |
| A2480G | NSP2 | amino acid change (I559V) | 0 |
| C2558T | NSP2 | amino acid change (P585S) | 0 |
| C3037T | NSP3 | silent | 64.1 |
| C8782T | NSP4 | silent | 3.1 |
| G11083T | NSP6 | amino acid change (L37F) | 35.9 |
| C14408T | NSP12b | amino acid change (P314L) | 62.5 |
| C14805T | NSP12b | silent | 0 |
| T17247C | NSP13 | silent | 0 |
| C17747T | NSP13 | amino acid change (P504L) | 0 |
| A17858G | NSP13 | amino acid change (Y541C) | 0 |
| C18060T | NSP14 | silent | 0 |
| A23403G | S | amino acid change (D614G) | 56.2 |
| G25563T | ORF3a | amino acid change (Q57H) | 40.6 |
| G26144T | ORF3a | amino acid change (G251V) | 0 |
| T28144C | ORF8 | amino acid change (L84S) | 1.6 |
| GGG28881AAC | N | amino acid change (RG203KR) | 15.6 |
Figure 4Imaging of the SARS-Cov-2 Ank-1 isolate using environmental SEM (Panel A – upper row) and AFM (Panel A – lower row). Size distribution of the viral particles (Panel B).
Viral loads and neutralizing antibodies in experimentally-infected mice.
| Passage | Animal | Virus Load (RNA copy/mL) | Serology | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Lung | Jejunum | Spleen | Liver | Kidney | Heart | 7dpi | 14dpi | ||
| 1 | 1 | 14890 | <100 | <100 | 2606 | 9903 | <100 | - | 1/16 |
| 2 | 9750 | <100 | <100 | <100 | 5388 | - | - | 1/16 | |
| 2 | 1 | 2560 | - | <100 | 157 | 978 | <100 | - | 1/8 |
| 2 | 7700 | <100 | 140 | <100 | 2839 | - | - | 1/16 | |
Given as reciprocals of serum dilutions 50% neutralizing (SN50) 100TCID50 of SARS CoV-2; (-) negative.
Figure 5Hematoxlyin-eosin (A) and IHC (B) staining of respiratory epithelium in the IFNAR−/− mouse with prominent lung findings. Alveoli are lined by some pneumocytes with marked cellular atypia such as nuclear enlargement and prominent nucleoli (arrows) (A). In IHC, pneumocytes (arrow) and respiratory epithelium lining this bronchiole (asterix) showed strong cytoplasmic and staining (B).
Figure 6IHC staining in other tissues. Patchy immunoreactivity is seen in cardiac myocytes (A). In the gastrointestinal tissue, staining is strong and diffuse in the epithelium of small intestines (B), whereas only scattered glandular cells are positive in the stomach (C). In the spleen, interfollicular histiocytes are positive (D). In this image from the kidney shows a glomerulus at the center, which is negative, and tubular epithelium with diffuse and strong staining (E). A patchy staining is also noted in hepatocytes as well as ductal epithelial cells in the liver (F).