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. 2022 Aug:102:105300.
doi: 10.1016/j.meegid.2022.105300. Epub 2022 May 10.

Phylogenetic and amino acid signature analysis of the SARS-CoV-2s lineages circulating in Tunisia

Affiliations

Phylogenetic and amino acid signature analysis of the SARS-CoV-2s lineages circulating in Tunisia

Mouna Ben Sassi et al. Infect Genet Evol. 2022 Aug.

Abstract

Since the beginning of the Coronavirus disease-2019 pandemic, there has been a growing interest in exploring SARS-CoV-2 genetic variation to understand the origin and spread of the pandemic, improve diagnostic methods and develop the appropriate vaccines. The objective of this study was to identify the SARS-CoV-2s lineages circulating in Tunisia and to explore their amino acid signature in order to follow their genome dynamics. Whole genome sequencing and genetic analyses of fifty-eight SARS-CoV-2 samples collected during one-year between March 2020 and March 2021 from the National Influenza Center were performed using three sampling strategies.. Multiple lineage introductions were noted during the initial phase of the pandemic, including B.4, B.1.1, B.1.428.2, B.1.540 and B.1.1.189. Subsequently, lineages B1.160 (24.2%) and B1.177 (22.4%) were dominant throughout the year. The Alpha variant (B.1.1.7 lineage) was identified in February 2021 and firstly observed in the center of our country. In addition, A clear diversity of lineages was observed in the North of the country. A total of 335 mutations including 10 deletions were found. The SARS-CoV-2 proteins ORF1ab, Spike, ORF3a, and Nucleocapsid were observed as mutation hotspots with a mutation frequency exceeding 20%. The 2 most frequent mutations, D614G in S protein and P314L in Nsp12 appeared simultaneously and are often associated with increased viral infectivity. Interestingly, deletions in coding regions causing consequent deletions of amino acids and frame shifts were identified in NSP3, NSP6, S, E, ORF7a, ORF8 and N proteins. These findings contribute to define the COVID-19 outbreak in Tunisia. Despite the country's limited resources, surveillance of SARS-CoV-2 genomic variation should be continued to control the occurrence of new variants.

Keywords: Amino acid change analysis; Amino acid signature; Coronavirus disease-2019; Lineages phylogenetic; SARS-CoV-2; Tunisia; Whole genome sequencing.

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Conflict of interest statement

The authors declare that there is no competing interest.

Figures

Fig. 1
Fig. 1
Distribution of the 58 Tunisian SARS-CoV-2 genetic lineages in Tunisia during the first year of the pandemic: March 2020 to March 2021. *No COVID-19 cases was detected in Tunisia during June 2020, ** According to our sampling strategy, no COVID-19 cases were included during August 2020.
Fig. 2
Fig. 2
Phylogenetic analysis of the 58 Tunisian SARS-CoV-2 genome sequences. Phylogenetic analysis of 58 Tunisian SARS-CoV-2 sequences, compared with SARS-CoV-2 reference sequence of Wuhan*: NC_045512, inferred by Neighbor-Joining method. Branches are colored according to the Nexclade Clade Nomenclature. The evolutionary distances were computed using the Maximum Likely hood method.
Fig. 3
Fig. 3
Genomic variation frequency of Tunisian SARS-CoV-2 sequences (n = 58). Genomic variants were identified by referring to the first diagnosed NC_045512 Wuhan variant using MEGA X (Kumar et al., 2018). The locations and the mutations frequencies of the variants were plotted along genomic sequence of NC_045512. The open reading frames (ORFs) of SARS-CoV-2 were shown as rectangles that were aligned with nucleotide positions of the coronavirus. The frequency of each mutation in the population is presented by color coded circles. Abbreviations: ORF: Open Reading Frame; E: Envelope; M: Membrane protein; N: Nucleocapsid protein.

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