Abstract:
Severe acute respiratory syndrome (SARS-CoV-2) is responsible for the worldwide
pandemic COVID-19. The original viral whole-genome was sequenced by a high throughput sequencing approach from the samples obtained from Wuhan, China. Real time gene sequencing is the main parameter to manage viral outbreaks because it
expands our understanding of virus proliferation, spread, and evolution. Primarily, it
relies on the prompt sequencing technique of viral genome immediately from the
clinical specimens without the necessity of viral culturing step. Whole-genome
sequencing is critical for SARS-CoV-2 variant surveillance, the development of new
vaccines and boosters, and the representation of epidemiological situations in the
country. A significant increase in the number of COVID-19 cases confirmed in August
2021 in Kazakhstan facilitated a need to establish an effective and proficient system for
further study of SARS-CoV-2 genetic variants. The SARS-CoV-2 whole-genome was
sequenced using the SARS-CoV-2 ARTIC protocol (EXP-MRT001) by Oxford
Nanopore Technologies at the National Laboratory of Astana, Kazakhstan. The 96
samples kindly provided by the Republican Diagnostic Center (RDC) were collected
from individuals in Nur-Sultan city diagnosed with COVID-19 in August 2021 using
real-time reverse transcription-quantitative polymerase chain reaction (RT-qPCR). All
samples had a cycle threshold (Ct) value below 20 with an average Ct value of 13.88.
The genomic coverage of the sequenced samples was ~99.8% and 77 out of 96 (80%)
samples that passed quality control are deposited in the Global initiative on sharing all
influenza data (GISAID). The AY.122 (n=69), B.1.617.2 (n=6), and AY.89 (n=1) delta
lineages, and one sample B.1.637 belongs to a separate lineage corresponding to Iota
were detected. To the best of our knowledge, this is the first study of SARS-CoV-2
whole genome sequencing by the ONT approach in Kazakhstan. The performed work
confirms that ONT sequencing is a robust technique for the monitoring of SARS CoV-2
new variants by its whole genome sequencing. Also, established genomic sequences
reveal the novel mutations that alter viral characteristics, particularly, the detected
mutations are predicted to increase the spike protein stability by computational tools.
The further high-throughput analysis and SARS-CoV-2 surveillance in the country are
expected by the GridION at National Laboratory of Astana (NLA) at Nazarbayev
University at a larger scale