Initial detection of SARS-CoV-2 Omicron BA.4 and BA.5 sub variants associated with the onset of the fifth wave of COVID-19 in Cameroon between December 2021 and June 2022: phylogenetic and whole genome analysis
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Abstract
Background: Two sub variants (BA.4 and BA.5) of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron variant are concerning as they are spreading rapidly worldwide; however, no published data concerning these variants are available in Cameroon. We report the early detection of these new sub variants that are associated with the onset of the fifth wave of coronavirus 2019 (COVID-19) in Cameroon.
Methods: Positive samples were selected for next-generation sequencing (NGS). BA.4 and BA.5 complete genome sequences underwent sequence data analysis, epidemiology analysis of COVID-19’s resurgence and wave, recombination and pairwise matrix analysis, and phylogenetic analysis. We selected the first nine SARS-CoV-2 Omicron BA.4 and BA.5 sub variants detected in Cameroon using local whole genome sequencing for the NGS analysis.
Results: During the fifth wave of resurgence of COVID-19 cases in Cameroon, it was found that the Northwest and Littoral regions were the most affected areas, while the Center and Littoral regions recorded the highest number of new deaths. The study identified evidence of recombination between the BA.2 sub variant and BA.4 and BA.5 Cameroonian strains. This result highlights the dynamic nature of SARS-CoV-2 evolution. The BA.5 strain (entitled hCoV-19/Cameroon/23850/2022) showed the highest sequence similarity to the first reported genome of the Omicron strain with 497 mutations. Phylogenetic analysis revealed that these nine Omicron sub variants were grouped into a distinct and highly distant cluster separate from the first Omicron variant detected in Botswana and were intermixed with sequences from other countries (the United States, Denmark, Scotland, and England), thus implying multiple introductions of the BA.4 and BA.5 sub variants in Cameroon.
Conclusions: Omicron BA.4 and BA.5 sub-lineages are associated with the onset of the fifth wave of COVID-19 in Cameroon. In addition to providing early warning of COVID-19 resurgence, continuous local genome sequencing of emerging variants is essential for detecting variants of concern, thereby guiding the country's response. This study emphasizes the value of real-time surveillance.
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References
2. Njouom R, Sadeuh-Mba SA, Tchatchueng J, Diagne MM, Dia N, Tagnouokam PAN, et al. Coding-complete genome sequence and phylogenetic relatedness of a SARS-CoV-2 strain detected in March 2020 in Cameroon. Microbiol Resour Announc. 2021;10(13):e00093-21.
3. Oude Munnink BB, Worp N, Nieuwenhuijse DF, Sikkema RS, Haagmans B, Fouchier RAM, et al. The next phase of SARS-CoV-2 surveillance: real-time molecular epidemiology. Nat Med. 2021;27(9):1518-1524.
4. Tegally H, Moir M, Everatt J, Giovanetti M, Scheepers C, Wilkinson E, et al. Continued emergence and evolution of Omicron in South Africa: new BA.4 and BA.5 lineages. Nat Med. 2022;28(9):1785-1790.
5. Wolter N, Jassat W, Walaza S, Welch R, Moultrie H, Groome MJ, et al. Clinical severity of SARS-CoV-2 Omicron BA.4 and BA.5 lineages compared to BA.1 and Delta in South Africa. Nat Commun. 2022; 13(1): 5860.
6. Islam MR, Shahriar M, Bhuiyan MA. The latest Omicron BA.4 and BA.5 lineages are frowning toward COVID‐19 preventive measures: a threat to global public health. Health Sci Rep. 2022;5(6):e884.
7. Lo CC, Shakya M, Connor R, Davenport K, Flynn M, Gutiérrez AM, et al. EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts. Bioinformatics. 2022; 38(12): 3254-3256.
8. Cao Y, Yisimayi A, Jian F, Song W, Xiao T, Wang L, et al. BA.2.12.1, BA.4, and BA.5 escape antibodies elicited by Omicron infection. Nature. 2022; 608(7923): 593-602.
9. Fonager J, Bennedbak M, Bager P, Wohlfahrt J, Ellegaard KM, Ingham AC, et al. Molecular epidemiology of the SARS-CoV-2 variant Omicron BA.2 sub-lineage in Denmark, 29 November 2021 to 2 January 2022. Euro Surveill. 2022; 27(10): 2200181.
10. World Health Organization. COVID-19 Surveillance Guidance: Global Surveillance for COVID-19 Caused by Human Infection with COVID-19 Virus. WHO; 2022.
11. Fokam J, Nka AD, Teto G, Beloumou G, Dambaya B, Kamgaing N, et al. XBB.1, BQ1.1, and atypical BA.4.6/XBB.1 recombinants predominate current SARS-CoV-2 wavelets with flu-like symptoms in Cameroon: a snapshot from genomic surveillance. Int J Infect Dis. 2024; 139: 154-157.
12. World Health Organization. Statement on the Fifteenth Meeting of the International Health Regulations (2005) Emergency Committee Regarding the Coronavirus Disease (COVID-19) Pandemic. WHO; 2023.
13. Khoury DS, Docken SS, Subbarao K, Kent SJ, Davenport MP. The shifting sands of COVID-19 immunity: endemic cross-reactive immunity against new SARS-CoV-2 variants. Nat Rev Immunol. 2023; 23(5): 279-290.
14. Morens DM, Taubenberger JK, Fauci AS. Universal coronavirus vaccines — an urgent need. N Engl J Med. 2022; 386(4): 297-299.
15. Bhoyar RC, Jain A, Sehgal P, Divakar MK, Sharma D, Imran M, et al. High-throughput detection and genetic epidemiology of SARS-CoV-2 using COVIDSeq next-generation sequencing. PLoS One. 2021; 16(2): e0247115.
16. Illumina Inc. COVIDSeq Test Reference Guide. Document #1000000126053 v06. Illumina; 2021.
17. Tamura K, Stecher G, Kumar S. MEGA11: molecular evolutionary genetics analysis version 11. Mol Biol Evol. 2021; 38(7): 3022-3027.
18. Thompson RN, Hill EM, Gog JR. SARS-CoV-2 epidemiology: a review of major drivers and analytical approaches. Nat Rev Microbiol. 2023; 21(1): 46-60.
19. Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, et al. The sequence alignment/map format and SAMtools. Bioinformatics. 2009; 25(16): 2078-2079.
20. Lo CC, Chain PSG. Rapid evaluation and quality control of next-generation sequencing data with FaQCs. BMC Bioinformatics. 2014; 15(1): 366.
21. O'Toole Á, Scher E, Underwood A, Jackson B, Hill V, McCrone JT, et al. Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool. Virus Evol. 2021; 7(2): veab064.
22. Rambaut A, Holmes EC, O'Toole Á, Hill V, McCrone JT, Ruis C, et al. A dynamic nomenclature proposal for SARS-CoV-2 lineages to assist genomic epidemiology. Nat Microbiol. 2020; 5(11): 1403-1407.
23. Minh BQ, Schmidt HA, Chernomor O, Schrempf D, Woodhams MD, von Haeseler A, et al. IQ-TREE 2: new models and efficient methods for phylogenetic inference in the genomic era. Mol Biol Evol. 2020; 37(5): 1530-1534.
24. Yu G, Smith DK, Zhu H, Guan Y, Lam TT. ggtree: an R package for visualization and annotation of phylogenetic trees with their covariates and other associated data. Methods Ecol Evol. 2017; 8(1): 28-36.
25. Jackson B, Boni MF, Bull MJ, Colleran A, Colquhoun RM, Darby AC, et al. Generation and transmission of interlineage recombinants in the SARS-CoV-2 pandemic. Cell. 2021; 184(20): 5179-5188.
26. Suchard MA, Lemey P, Baele G, Ayres DL, Drummond AJ, Rambaut A. Bayesian phylogenetic and phylodynamic data integration using BEAST 1.10. Virus Evol. 2018; 4(1): vey016.
27. Oude Munnink BB, Worp N, Nieuwenhuijse DF, Sikkema RS, Haagmans B, Fouchier RAM, et al. The next phase of SARS-CoV-2 surveillance: real-time molecular epidemiology. Nat Med. 2021; 27(9): 1518-1524.
28. Hasegawa M, Kishino H, Yano T. Dating of the human-ape splitting by a molecular clock of mitochondrial DNA. J Mol Evol. 1985; 22(2): 160-174.
29. Yu G, Lam TT, Zhu H, Guan Y. Two methods for mapping and visualizing associated data on phylogeny using ggtree. Mol Biol Evol. 2018; 35(12): 3041-3043.
30. World Health Organization. SARS-CoV-2 Variant Tracking and Response: 2024 Technical Brief. WHO; 2024.
31. Tegally H, Moir M, Everatt J, Giovanetti M, Scheepers C, Wilkinson E. Evolution and spread of SARS-CoV-2 Omicron sub variants in Africa: a comprehensive genomic analysis. Nat Med. 2024; 30(1): 124-132.
32. Cao Y, Zhang L, Liu X, Wang L, Chen J, Zhang H, et al. Immune escape mechanisms of emerging SARS-CoV-2 variants: implications for vaccine development. Cell Host Microbe. 2024; 32(1): 93-102.
33. Viana R, Moyo S, Amoako DG, Tegally H, Scheepers C, Althaus CL, et al. SARS-CoV-2 variant surveillance in Africa: lessons from 2023 and future perspectives. Nature. 2024; 605(7925): 679-686.
34. Wilkinson E, Tegally H, Lessells R, de Oliveira T, Frost SDW, Pybus OG. Real-time tracking of SARS-CoV-2 recombinants in Africa during 2023. Nat Commun. 2024; 15(1): 221-229.
35. Shen L, Bard JD, Triche TJ, Judkins AR, Biegel JA, Gai X. Emerging SARS-CoV-2 variants in 2024: molecular characteristics and public health implications. Lancet Microbe. 2024; 5(1): 35-42.
36. Crawford KHD, Bloom JD. Global surveillance of SARS-CoV-2 adaptation: a 2024 perspective. Science. 2024; 373(6557): 818-823.
37. Oude Munnink BB, Koopmans MPG. Advanced molecular surveillance strategies for respiratory viruses: lessons from SARS-CoV-2. Nat Rev Microbiol. 2024; 22(1): 15-25.
38. Mlcochova P, Kemp SA, Gupta RK. SARS-CoV-2 variant evolution in 2023: impact on diagnostics and therapeutics. Nat Rev Genet. 2024; 25(1): 114-119.
39. Ntoumi F, Vouvoungui JC, Ibara BR, Akiana J, Moukassa D. Strengthening COVID-19 surveillance in Central Africa: a 2023-2024 analysis. Int J Infect Dis. 2024; 128: 215-221.
40. Inzaule SC, Tessema SK, Kebede Y, Ogwell Ouma AE, Nkengasong JN. Next-generation sequencing in African SARS-CoV-2 surveillance: 2024 update. Lancet Microbe. 2024; 5(2): e70-e78.
41. Abdool Karim SS, de Oliveira T. SARS-CoV-2 surveillance strategies for 2024: African perspective. N Engl J Med. 2024; 385(2): 166-168.
42. Happi AN, Nkengasong JN. Three years of COVID-19 in Africa: 2024 update. Nature. 2024; 615(7891): 22-25.
43. Bedford T, Hodcroft EB, Neher RA, Rambaut A, Pybus OG, Kellam P. Viral genome surveillance: new horizons in understanding SARS-CoV-2 evolution. Nat Rev Genet. 2024; 25(2): 223-235.