Laura

2021/10/04

Option 1

SARS-CoV 2 data set amount

1. The number of available Sars-CoV 2 genetic sequences
2. Use of the data for phylogenetic reconstruction. Focus on data quality
3. The input thinning importance (taxon-rich trees)
4. Conclusion

Option 2

MRCA role in determining vaccine candidates

1. SARS-CoV 2/RNA virus as challenge for vaccine development
2. The MRCA approach in vaccine candidates designing
4. Conclusion

Final
(after dicussing with the group)

MRCA role in determining vaccine candidates

1. MRCA concept
2. SARS-CoV 2/RNA virus as challenge for vaccine development
3. The MRCA approach in vaccine candidates designing
4. Conclusion

2021/10/05

After reading some papers during the afternoon:
Maybe do not focus only on MRCA. Instead, write about the role of phylogenetic reconstruction as a whole in designing vaccine candidates

After talking to Dan:
Classificação das variantes
Vigilância
Comparativo Influenza-Corona (tetra, trivalente; delta)

Outline

1. SARS-CoV2 background

a. Pandemic
b. RNA virus; high mutation rates
c. Spike protein; variants;
d. Resulting concern
Figure: variants; distribution in the country

2. Solving the problem

a. what is need to control?
b. vaccines; challenges

3. Talk about Influenza
a. Subtypes
b. Surveillance - phylogenetic reconstruction: its use on determining vaccine candidates
Figure: phylogenetic tree influenza subtypes with vaccines
c. Return to SARS-CoV2 variants - discuss

4. Conclusion

2021/10/06

After reading a little bit more about the currently scenario/studies

Outline

1. SARS-CoV-2 Background
a. Pandemic
b. spread
c. RNA virus; high mutation rates
d. problem to vaccine efficacy

Since its first notification in 2019, the RNA-stranded virus SARS-CoV-2 (Severe respiratory syndrome coronavirus 2) rapidly spread throughout the world population. The disease, Covid-19, a consequence of SARS-CoV-2 infection in humans, has resulted in millions of deaths worldwide. With unrestrained dispersion, the virus undergoes high mutations rates, which may affect the properties of the virus and potentially affect the performance of vaccines.

2. SARS-CoV-2 variants and influenza types, subtypes/lineages
a. Spike protein; variants
b. Describe influenza types, subtypes/lineages
c. Distribution of influenza types, subtypes/lineages
d. SARS-CoV-2 variants distribution
Figure: variants; distribution in the world

In SARS-CoV-2 genome, mutations on the structural spike protein originated the variants B.1.1.7 (Alpha), B.1.351 (Beta), B.1.617.2 (Delta), B.1.1.28 (Gamma), B.1.232/B.1.427/B.1.429 (Epsilon), B.1.525 (Eta), B.1.526 (Iota), B.1.617.1 (Kappa), 1.617.3, B.1.621, B.1.621.1 (Mu), and P.2 (Zeta). Similarly, human seasonal influenza viruses, classified into types A and B, possess high mutations rates. Type A includes two subtypes, whilst type B, two lineages. Both can be further divided into different genetic clades and sub-clades. Importantly, the proportion of distribution of distinct influenza viruses can vary according to the geographic location. This same variated distribution profile occurs with SARS-CoV-2 variants.

3. Vaccines and phylogeny
a. Importance of investigating the distribution of the viruses
b. Influenza vaccines study
c. Phylogenetic inference will classify groups of interest
Figure: phylogenetic tree influenza subtypes with vaccine strains

4. Phylogenetic reconstruction
a. Surveillance - phylogenetic reconstruction
b. SARS-CoV2 variants – discuss
c. …

5. Conclusion

2021/10/07

Final version

The phylogenetic reconstruction as a support to design SARS-CoV-2 vaccine candidates

SARS-CoV-2 (Severe respiratory syndrome coronavirus 2) emerged in 2019 causing the coronavirus disease (COVID-19) in humans. With unrestrained dispersion, the virus spread worldwide (Andersen et al., 2020). SARS-CoV-2 possesses high mutations rates on its RNA-stranded genome, especially in the antigenic spike (S) protein, which have originated a series of variants (Jaroszewski et al., 2020; Lauring et al., 2021).
Studies report that random genetic drift in SARS-CoV-2 has played a central role in disseminating specific mutations across the world. Mutations on S protein, an epitope carrier, may affect the performance of vaccines, related to SARS-CoV-2 antigenic drift. As a consequence, despite vaccines administration, SARS-CoV-2 continues increasing the cases of COVID-19 (Yuan et al. 2019). Authors predict the permanence of this mechanism of variation in SARS-CoV-2 (Yuan et al., 2021), as with other RNA viruses, such as influenza and HIV (Karlsson et al., 2008). Because SARS-CoV-2 is likely to become endemic (Kissler et al., 2020), studies are in need to develop broadly effective vaccines (Yuan, et al. 2021; Dearlove, et al. 2020).
Predominant variants may diverge according to the region of circulation. Thus, a SARS-CoV-2 vaccine candidate should induce immune responses against circulating variants (Dearlove et al., 2020). Thus, an important tool for vaccine candidates design relies on the phylogenetic reconstruction. As a tool that groups consensus sequences, it infers possible matches between wild viral genetic sequences and vaccine candidates (Gaschen et al., 2002).
Influenza viruses are a useful example of phylogenetic reconstruction use to infer similarities between wild vaccine genetic sequences. With this approach, a study estimated the effectiveness of seasonal trivalent influenza vaccine (Fielding et al. 2016). Human seasonal influenza viruses are classified into types A and B. Type A includes two subtypes, whilst type B, two lineages. Both can be further divided into different genetic clades and sub-clades. All these antigenically differ from each other. Importantly, the proportion of distribution of distinct influenza viruses can vary according to the geographic location, thus, the study performed the phylogenetic reconstruction of the viruses obtained from patients from different Australian states. The phylogenetic tree presented clade mismatch between type A vaccine (A/Switzerland/9715293/13e), which previously presented findings of low efficacy, and circulating viruses (Figure 1).

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Figure 1. Phylogenetic tree of haemagglutinin gene of selected influenza type A(H3) viruses forwarded to WHO Collaborating Centre for Reference and Research on Influenza (Melbourne), 2015. Viruses in blue were obtained from patients presenting influenza-like illnesses; those in red are vaccine reference viruses. The green arrow indicates the vaccine with low efficacy.
Source: Fielding et al., 2016. Adapted.

Similarly, a study applied the phylogenetic reconstruction in the developing of a SARS-CoV-2 vaccine candidates (Wang et al., 2020). These should cover the main SARS-CoV-2 populations from diverse geographical locations. Thus, SARS-CoV-2 was isolated from patients and three strains (CQ-01, QD-01, and HB-02) were obtained. These were applied on a phylogenetic reconstruction with 6,659 sequences. Sequences clustered into different groups based on sampling countries and the vaccine candidate scattering suggested coverage of the main circulating SARS-CoV-2 (Figure 2).

sarscov.jpg

Figure 2. SARS-CoV-2 Maximum Likelihood Phylogenetic Tree. The SARS-CoV-2 isolates used in the study are indicated with black arrows and labeled. Viral strains (CQ-01, QD-01, and HB-02) were isolated from infected patients who traveled from the indicated continent/area.
Source: Wang et al., 2020.

Phylogenetic trees group consensus sequences and are useful in estimating similarities between wild viruses and vaccine candidates. Thus, phylogenetic reconstructions can provide supporting findings for the designing of SARS-CoV-2 vaccine candidates.

References

Andersen KG, Rambaut A, Lipkin WI, Holmes EC, Garry RF. The proximal origin of SARS-CoV-2. Nat Med. 2020 Apr;26(4):450-452. doi: 10.1038/s41591-020-0820-9. PMID: 32284615; PMCID: PMC7095063.

Dearlove B, Lewitus E, Bai H, Li Y, Reeves DB, Joyce MG, Scott PT, Amare MF, Vasan S, Michael NL, Modjarrad K, Rolland M. A SARS-CoV-2 vaccine candidate would likely match all currently circulating variants. Proc Natl Acad Sci U S A. 2020 Sep 22;117(38):23652-23662. doi: 10.1073/pnas.2008281117. Epub 2020 Aug 31. PMID: 32868447; PMCID: PMC7519301.

Fielding JE, Levy A, Chilver MB, Deng YM, Regan AK, Grant KA, Stocks NP, Sullivan SG. Effectiveness of seasonal influenza vaccine in Australia, 2015: An epidemiological, antigenic and phylogenetic assessment. Vaccine. 2016 Sep 22;34(41):4905-4912. doi: 10.1016/j.vaccine.2016.08.067. Epub 2016 Aug 28. PMID: 27577556.

Gaschen B, Taylor J, Yusim K, Foley B, Gao F, Lang D, Novitsky V, Haynes B, Hahn BH, Bhattacharya T, Korber B. Diversity considerations in HIV-1 vaccine selection. Science. 2002 Jun 28;296(5577):2354-60. doi: 10.1126/science.1070441. PMID: 12089434.

Jaroszewski L, Iyer M, Alisoltani A, Sedova M, Godzik A. The interplay of SARS-CoV-2 evolution and constraints imposed by the structure and functionality of its proteins. bioRxiv [Preprint]. 2020 Aug 10:2020.08.10.244756. doi: 10.1101/2020.08.10.244756. PMID: 32817947; PMCID: PMC7430578.

Karlsson Hedestam GB, Fouchier RA, Phogat S, Burton DR, Sodroski J, Wyatt RT. The challenges of eliciting neutralizing antibodies to HIV-1 and to influenza virus. Nat Rev Microbiol. 2008 Feb;6(2):143-55. doi: 10.1038/nrmicro1819. PMID: 18197170.

Kissler SM, Tedijanto C, Goldstein E, Grad YH, Lipsitch M. Projecting the transmission dynamics of SARS-CoV-2 through the postpandemic period. Science. 2020 May 22;368(6493):860-868. doi: 10.1126/science.abb5793. Epub 2020 Apr 14. PMID: 32291278; PMCID: PMC7164482.

Lauring AS, Hodcroft EB. Genetic Variants of SARS-CoV-2-What Do They Mean? JAMA. 2021 Feb 9;325(6):529-531. doi: 10.1001/jama.2020.27124. PMID: 33404586.

Wang H, Zhang Y, Huang B, Deng W, Quan Y, Wang W, Xu W, Zhao Y, Li N, Zhang J, Liang H, Bao L, Xu Y, Ding L, Zhou W, Gao H, Liu J, Niu P, Zhao L, Zhen W, Fu H, Yu S, Zhang Z, Xu G, Li C, Lou Z, Xu M, Qin C, Wu G, Gao GF, Tan W, Yang X. Development of an Inactivated Vaccine Candidate, BBIBP-CorV, with Potent Protection against SARS-CoV-2. Cell. 2020 Aug 6;182(3):713-721.e9. doi: 10.1016/j.cell.2020.06.008. Epub 2020 Jun 6. PMID: 32778225; PMCID: PMC7275151.

Yuan M, Huang D, Lee CD, Wu NC, Jackson AM, Zhu X, Liu H, Peng L, van Gils MJ, Sanders RW, Burton DR, Reincke SM, Prüss H, Kreye J, Nemazee D, Ward AB, Wilson IA. Structural and functional ramifications of antigenic drift in recent SARS-CoV-2 variants. bioRxiv [Preprint]. 2021 Feb 17:2021.02.16.430500. doi: 10.1101/2021.02.16.430500. Update in: Science. 2021 May 20;: PMID: 33619487; PMCID: PMC7899451.

Autoavaliação

Nota: 1.0
Justificativa: tudo o que aprendi a respeito de filogenia antes da disciplina foi sozinha. Portanto, quando iniciei, não tinha base dos fundamentos. Tudo ficou mais claro com as aulas. Aprendi bastante. Me dediquei o quanto pude. Somente conseguiria fazer mais (ler a literatura completa) se não tivesse conciliadas atividades presenciais no laboratório.
Estou muito satisfeita com meu desempenho.

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