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In the present study, we report the complete genome of five Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) from Bangladesh harboring mutations at Spike protein (E484K, Q677H, D614G, A67V, Q52R, Y144del, H69del, V70del, F888L) assigned to the B.1.525 lineage (Variant of interest). Mutations are also found in viral structural proteins other than spike region (E_L21F, M_I82F, N_A12G and N_T208I) and other mutations (NSP3_T1189I, NSP6_S106del, NSP6_F108del, NSP6_G107del, NSP12_P323F) from all of five B.1.525 SARS-CoV-2 variants of Bangladesh. We have also found four unique mutations from two of SARS-CoV-2 B.1.525 variant of Bangladesh. Among the four unique mutations two mutations (NS7a_L96H, NS7a_Y97D) obtained from strain BCSIR-NILMRC-718, one (NSP3_A1430V) from BCSIR-NILMRC-738 and two mutation including one spike protein mutation (NSP2_L444I, Spike_I68 M) present in BCSIR-AFIP-10 strain. The identification of new mutations will contribute to characterizing SARS-CoV-2, to continue tracking its spread and better understanding its biological and clinical features to take medical countermeasures and vaccines.
Assuntos
COVID-19 , Humanos , Bangladesh , COVID-19/genética , SARS-CoV-2/genética , Glicoproteína da Espícula de Coronavírus/genética , MutaçãoRESUMO
We report the near-complete genome sequence and phylogenetic analysis of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Delta variant (B.1.617.2) strain. This variant is associated with increased transmission and immune evasion.
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This study reports the coding-complete genome sequence, with variant identifications and phylogenetic analysis, of a severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) P.1 variant (20J/501Y.V3), obtained from an oropharyngeal swab specimen from a female Bangladeshi patient diagnosed with coronavirus disease 2019 (COVID-19) with no travel history.
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The microbiota of the nasopharyngeal tract (NT) play a role in host immunity against respiratory infectious diseases. However, scant information is available on interactions of SARS-CoV-2 with the nasopharyngeal microbiome. This study characterizes the effects of SARS-CoV-2 infection on human nasopharyngeal microbiomes and their relevant metabolic functions. Twenty-two (n = 22) nasopharyngeal swab samples (including COVID-19 patients = 8, recovered humans = 7, and healthy people = 7) were collected, and underwent to RNAseq-based metagenomic investigation. Our RNAseq data mapped to 2281 bacterial species (including 1477, 919 and 676 in healthy, COVID-19 and recovered metagenomes, respectively) indicating a distinct microbiome dysbiosis. The COVID-19 and recovered samples included 67% and 77% opportunistic bacterial species, respectively compared to healthy controls. Notably, 79% commensal bacterial species found in healthy controls were not detected in COVID-19 and recovered people. Similar dysbiosis was also found in viral and archaeal fraction of the nasopharyngeal microbiomes. We also detected several altered metabolic pathways and functional genes in the progression and pathophysiology of COVID-19. The nasopharyngeal microbiome dysbiosis and their genomic features determined by our RNAseq analyses shed light on early interactions of SARS-CoV-2 with the nasopharyngeal resident microbiota that might be helpful for developing microbiome-based diagnostics and therapeutics for this novel pandemic disease.
Assuntos
Bactérias/classificação , COVID-19/microbiologia , Nasofaringe/microbiologia , SARS-CoV-2/genética , Análise de Sequência de RNA/métodos , Adulto , Idoso , Bactérias/genética , Bactérias/isolamento & purificação , Bactérias/patogenicidade , Estudos de Casos e Controles , Feminino , Sequenciamento de Nucleotídeos em Larga Escala , Humanos , Masculino , Metagenômica , Pessoa de Meia-Idade , Filogenia , Simbiose , Adulto JovemRESUMO
We report the sequencing of three severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes from Bangladesh. We have identified a unique mutation (NSP2_V480I) in one of the sequenced genomes (isolate hCoV-19/Bangladesh/BCSIR-NILMRC-006/2020) compared to the sequences available in the Global Initiative on Sharing All Influenza Data (GISAID) database. The data from this analysis will contribute to advancing our understanding of the epidemiology of SARS-CoV-2 in Bangladesh as well as worldwide at the molecular level and will identify potential new targets for interventions.