Genomic and evolutionary study from SARS-CoV-2 virus isolates from Bangladesh during the early stage of pandemic strongly correlate with European origin and not with China.

The goal of this study was to identify the genomic variants and determine molecular epidemiology of SARS-CoV-2 virus during the early pandemic stage in Bangladesh. Viral RNA was extracted, converted to cDNA, and amplified using Ion AmpliSeq™ SARS-CoV-2 Research Panel. 413 unique mutants from 151 viral isolates were identified. 80% of cases belongs to 8 mutants: 241C toT, 1163A toT, 3037C toT, 14408C toT, 23403A toG, 28881G toA, 28,882 G toA, and 28883G toC. Observed dominance of GR clade variants that have strong presence in Europe, suggesting European channel a possible entry route. Among 37 genomic mutants significantly associated with clinical symptoms, 3916CtoT (associated with sore-throat), 14408C to T (associated with cough-protection), 28881G to A, 28882G to A, and 28883G to C (associated with chest pain) were notable. These findings may inform future research platforms for disease management and epidemiological study.

Analysing the impact of the two most common SARS-CoV-2 nucleocapsid protein variants on interactions with membrane protein in silico.

As the body of scientific research focusing on the severe acute respiratory syndrome coronavirus 2 or SARS-CoV-2 continues to grow, several mutations have been reported as very common across the globe. In this study, we analysed the SARS-CoV-2 nucleocapsid protein (N protein) with respect to the widely observed 28881-28883 GGG to AAC variant. One of the major functions of the SARS-CoV-2 nucleocapsid protein is virion packaging through its interactions with the membrane protein (M protein). Our goal was to investigate, using in silico studies, the interaction between the mutant nucleocapsid protein and the M protein and how it differed from that of wild type N-M protein interaction. The results showed significant differences in interactions between the two. The mutant protein was predicted to form 3 salt bridges with the M protein, while the wild type only formed 2. The mutant protein was also predicted to display less temperature sensitivity than its wild type counterpart.

Whole genome mapping and identification of single nucleotide polymorphisms of four Bangladeshi individuals and their functional significance.

OBJECTIVE: The major objective of the study was to sequence the whole genome of four Bangladeshi individuals and identify variants that are known to be associated with functional changes or disease states. We also carried out an ontology analysis to identify the functions and pathways most likely to be affected by these variants. RESULTS: We identified around 900,000 common variants and close to 5 million unique ones in all four of the individuals. This included over 11,500 variants that caused nonsynonymous changes in proteins. Heart function associated pathways were heavily implicated by the ontology analysis; corroborating previous studies that claimed the Bangladeshi population as highly susceptible to heart disorders. Two variants were found that have been previously identified as pathogenic factors in familial hypercholesteremia and structural disorders of the heart. Other pathogenic variants we found were associated with pseudoxanthoma elasticum, cancer progression, polyagglutinable erythrocyte syndrome, preeclampsia, and others.

Whole genome analysis of Black Bengal goat from Savar Goat Farm, Bangladesh.

OBJECTIVES: Single nucleotide polymorphisms (SNPs) play critical roles in genetic diversity and disease. Many traits and diseases are linked with exonic SNPs that are significant for gene function, regulation or translation. This study focuses on SNPs that potentially act as the genetic basis for desirable traits in the Black Bengal Goat. This variety of goat is native to South Asia, and is identified as one of the most commercially important meat producing animals in the world. The aim of this study was to sequence the genome of Black Bengal Goats and identify SNPs that might play a significant role in determining meat quality in the organism. The study focuses on exonic SNPs for their greater likelihood of affecting the final translated protein product. RESULTS: Approximately 76,000 exonic variants were identified in the study. After filtration using a Wilcoxon test based score, the number came down to 49, 965 which were found to be distributed in 11,568 genes. The functional pathways affected by these variations included fatty acid metabolism and degradation, which are important processes that influence meat quality.