Genomic surveillance unfolds the dynamics of SARS-CoV-2 transmission and divergence in Bangladesh over the past two years

Abstract

The highly pathogenic virus SARS-CoV-2 has shattered the healthcare system of the world causing the COVID-19 pandemic since first detected in Wuhan, China. Therefore, scrutinizing the genome structure and tracing the transmission of the virus has gained enormous interest in designing appropriate intervention strategies to control the pandemic. In this report, we examined 4622 sequences from Bangladesh and found that they belonged to thirty-five major PANGO lineages, while Delta alone accounted for 39%, and 78% were from just four primary lineages. Our research has also shown Dhaka to be the hub of viral transmission and observed the virus spreading back and forth across the country at different times by building a transmission network. The analysis resulted in 7659 unique mutations, with an average of 24.61 missense mutations per sequence. Moreover, our analysis of genetic diversity and mutation patterns revealed that eight genes were under negative selection pressure to purify deleterious mutations, while three genes were under positive selection pressure. ImportanceWith 29,122 deaths, 1.95 million infections and a shattered healthcare system from SARS-CoV-2 in Bangladesh, the only way to avoid further complications is to break the transmission network of the virus. Therefore, it is vital to shedding light on the transmission, divergence, mutations, and emergence of new variants using genomic data analyses and surveillance. Here, we present the geographic and temporal distribution of different SARS-CoV-2 variants throughout Bangladesh over the past two years, and their current prevalence. Further, we have developed a transmission network of viral spreads, which in turn will help take intervention measures. Then we analyzed all the mutations that occurred and their effect on evolution as well as the currently present mutations that could trigger a new variant of concern. In short, together with an ongoing genomic surveillance program, these data will help to better understand SARS-CoV-2, its evolution, and pandemic characteristics in Bangladesh.