The Delta variant wave in Tunisia: Genetic diversity, spatio-temporal distribution and evidence of the spread of a divergent AY.122 sub-lineage

Author:

Haddad-Boubaker Sondes,Arbi Marwa,Souiai Oussema,Chouikha Anissa,Fares Wasfi,Edington Kate,Sims Sam,Camma Cesare,Lorusso Alessio,Diagne Moussa Moïse,Diallo Amadou,Boubaker Ilhem Boutiba Ben,Ferjani Sana,Mastouri Maha,Mhalla Salma,Karray Hela,Gargouri Saba,Bahri Olfa,Trabelsi Abdelhalim,Kallala Ouafa,Hannachi Naila,Chaabouni Yassine,Smaoui Hanen,Meftah Khaoula,Bouhalila Sophia Besbes,Foughali Soumaya,Zribi Mariem,Lamari Asma,Touzi Henda,Safer Mouna,Alaya Nissaf Ben,Kahla Alia Ben,Gdoura Mariem,Triki Henda

Abstract

IntroductionThe Delta variant posed an increased risk to global public health and rapidly replaced the pre-existent variants worldwide. In this study, the genetic diversity and the spatio-temporal dynamics of 662 SARS-CoV2 genomes obtained during the Delta wave across Tunisia were investigated.MethodsViral whole genome and partial S-segment sequencing was performed using Illumina and Sanger platforms, respectively and lineage assignemnt was assessed using Pangolin version 1.2.4 and scorpio version 3.4.X. Phylogenetic and phylogeographic analyses were achieved using IQ-Tree and Beast programs.ResultsThe age distribution of the infected cases showed a large peak between 25 to 50 years. Twelve Delta sub-lineages were detected nation-wide with AY.122 being the predominant variant representing 94.6% of sequences. AY.122 sequences were highly related and shared the amino-acid change ORF1a:A498V, the synonymous mutations 2746T>C, 3037C>T, 8986C>T, 11332A>G in ORF1a and 23683C>T in the S gene with respect to the Wuhan reference genome (NC_045512.2). Spatio-temporal analysis indicates that the larger cities of Nabeul, Tunis and Kairouan constituted epicenters for the AY.122 sub-lineage and subsequent dispersion to the rest of the country.DiscussionThis study adds more knowledge about the Delta variant and sub-variants distribution worldwide by documenting genomic and epidemiological data from Tunisia, a North African region. Such results may be helpful to the understanding of future COVID-19 waves and variants.

Publisher

Frontiers Media SA

Subject

Public Health, Environmental and Occupational Health

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