Your browser doesn't support javascript.
Complete Genomic Characterisation and Mutation Patterns of Iraqi SARS-CoV-2 Isolates.
Ahmed, Jivan Qasim; Maulud, Sazan Qadir.
  • Ahmed JQ; Department of Pathology and Microbiology, University of Duhok, Duhok 42001, Iraq.
  • Maulud SQ; Department of Biology, College of Education, Salahaddin University-Erbil, Erbil 44001, Iraq.
Diagnostics (Basel) ; 13(1)2022 Dec 21.
Article in English | MEDLINE | ID: covidwho-2238396
ABSTRACT
This study was performed for molecular characterisation of the SARS-CoV-2 strains in Iraq and reveal their variants, lineages, clades, and mutation patterns. A total of 912 Iraqi sequences were retrieved from GISAID, which had been submitted from the beginning of the SARS-CoV-2 pandemic to 26 September 2022, along with 12 samples that were collected during the third and fifth waves of the SARS-CoV-2 pandemic. Next-generation sequencing was performed using an Illumina MiSeq system, and phylogenetic analysis was performed for all the Iraqi sequences retrieved from GISAID. Three established global platforms GISAID, Nextstrain, and PANGO were used for the classification of isolates into distinct clades, variants, and lineages. Analysis of the isolates of this study showed that all the sequences from the third wave were clustered in the GK clades and the 21J (Delta) clade according to the GISAID and Nextclade systems, while the PANGO system revealed that six sequences were B.1.617.2 and four sequences were of the AY.33 lineage. Furthermore, the latest e wave in the summer of 2022 was due to thpredominance of the BA.5.2 lineage of the 22B (Omicron) clade in Iraq. Our study revealed patterns of circulation and dominance of SARS-CoV-2 clades and their lineages in the subsequent pandemic waves in the country.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics13010008

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Topics: Variants Language: English Year: 2022 Document Type: Article Affiliation country: Diagnostics13010008