Virus evolution and mutation analyses are crucial for tracing virus transmission, the potential variants, and other pathogenic determinants. Despite continuing circulation of the SARS-CoV-2, very limited studies have been conducted on genetic evolutionary analysis of the virus in Bangladesh. In this study, a total of 791 complete genome sequences of SARS-CoV-2 from Bangladesh deposited in the GISAID database during March 2020 to January 2021 were analyzed. Phylogenetic analysis revealed circulation of seven GISAID clades G, GH, GR, GRY, L, O, and S or five Nextstrain clades 20A, 20B, 20C, 19A, and 19B in the country during the study period. The GISAID clade GR or the Nextstrain clade 20B or lineage B.1.1.25 is predominant in Bangladesh and closely related to the sequences from India, USA, Canada, UK, and Italy. The GR clade or B.1.1.25 lineage is likely to be responsible for the widespread community transmission of SARS-CoV-2 in the country during the first wave of infection. Significant amino acid diversity was observed among Bangladeshi SARS-CoV-2 isolates, where a total of 1023 mutations were detected. In particular, the D614G mutation in the spike protein (S_D614G) was found in 97% of the sequences. However, the introduction of lineage B.1.1.7 (UK variant/S_N501Y) and S_E484K mutation in lineage B.1.1.25 in a few sequences reported in late December 2020 is of particular concern. The wide genomic diversity indicated multiple introductions of SARS-CoV-2 into Bangladesh through various routes. Therefore, a continuous and extensive genome sequence analysis would be necessary to understand the genomic epidemiology of SARS-CoV-2 in Bangladesh.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150345PMC
http://dx.doi.org/10.3390/microorganisms9051035DOI Listing

Publication Analysis

Top Keywords

sars-cov-2 bangladesh
12
lineage b1125
8
sars-cov-2
7
bangladesh
6
lineage
5
molecular analysis
4
analysis sars-cov-2
4
sars-cov-2 circulating
4
circulating bangladesh
4
bangladesh 2020
4

Similar Publications

High mutation rates in SARS-CoV-2, particularly among immunocompromised patients living with HIV, continue to complicate the current COVID-19 pandemic. The threshold for severe COVID-19 and a greater risk of mortality have increased in many immunocompromised individuals due to a weakened immune system. Low CD4+ T-cell counts in people living with both HIV and COVID-19 lead to prolonged disease duration and, therefore, an increased likelihood of viral infection with SARS-CoV-2 mutations in such individuals.

View Article and Find Full Text PDF

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has imposed substantial challenges on our society due to the COVID-19 pandemic. This virus relies heavily on its surface glycoprotein (S-glycoprotein) to facilitate attachment, fusion, and entry into host cells. While the nucleoprotein (N) in the ribonucleoprotein core binds to the viral RNA genome.

View Article and Find Full Text PDF

Objectives: We assessed the transmission of SARS-CoV-2 and vaccine receipt in a representative sample of wet market workers in a highly dense, low-income setting. Wet markets are key in many Asian settings, including Dhaka, Bangladesh, for fresh food, including animal protein.

Methods: During early 2022, we assessed the prevalence of anti-SARS-CoV-2 antibodies in a random sample of poultry and vegetable workers in 15 wet markets, and investigated associations with socio-demographic characteristics and COVID-19 vaccination.

View Article and Find Full Text PDF

Objectives: This study aims to assess the correlation between clinical features and mortality in human immunodeficiency virus (HIV)-infected individuals with COVID-19.

Methods: A systematic literature search was conducted for cohort, cross-sectional, and case series that reported co-infection with HIV and COVID-19 published from January to September 2020. Clinical features such as age, comorbidities, CD4T lymphocyte counts, HIV RNA levels, and antiretroviral regimens were evaluated using meta-analyses and systematic reviews.

View Article and Find Full Text PDF

This study presents a novel privacy-preserving self-supervised (SSL) framework for COVID-19 classification from lung CT scans, utilizing federated learning (FL) enhanced with Paillier homomorphic encryption (PHE) to prevent third-party attacks during training. The FL-SSL based framework employs two publicly available lung CT scan datasets which are considered as labeled and an unlabeled dataset. The unlabeled dataset is split into three subsets which are assumed to be collected from three hospitals.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!