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  1. Article: Genomic surveillance: Circulating lineages and genomic variation of SARS-CoV-2 in early pandemic in Ceará state, Northeast Brazil

    Oliveira, Francisca Andréa da Silva / de Holanda, Maísa Viana / Lima, Luína Benevides / Dantas, Mariana Brito / Duarte, Igor Oliveira / de Castro, Luzia Gabrielle Zeferino / de Oliveira, Laís Lacerda Brasil / Paier, Carlos Roberto Koscky / Moreira-Nunes, Caroline de Fátima Aquino / Lima, Nicholas Costa Barroso / de Moraes, Maria Elisabete Amaral / de Moraes Filho, Manoel Odorico / Melo, Vânia Maria Maciel / Montenegro, Raquel Carvalho

    Virus research. 2022 Nov., v. 321

    2022  

    Abstract: In the Northeast of Brazil, Ceará was the second state most impacted by COVID-19 in number of cases and death rate. Despite that, the early dynamics of the pandemic in Ceará was not yet well understood due the low genomic surveillance of SARS-CoV-2 in ... ...

    Abstract In the Northeast of Brazil, Ceará was the second state most impacted by COVID-19 in number of cases and death rate. Despite that, the early dynamics of the pandemic in Ceará was not yet well understood due the low genomic surveillance of SARS-CoV-2 in 2020. In this study, we analyze the circulating lineages and the genomic variation of the virus in Ceará state. Thirty-four genomes were sequenced and combined with sequences available in GISAID database from March 2020 to June 2021 to compose the study dataset. The most prevalent lineages detected were B.1.1.33, in 2020, and P.1, in 2021. Other lineages were found, such as P.2, sublineages of P.1, B.1, B.1.1, B.1.1.28 and B.1.212. Analyzing the mutations, a total of 202 single-nucleotide polymorphisms (SNPs) were identified among the 34 genomes sequenced, of which 127 were missense, 74 synonymous, and one was a nonsense mutation. Among the missense mutations, C14408T, A23403G, T27299C, G28881A G28883C, and T29148C were the most prevalent within the dataset. Although SARS-CoV-2 sequencing data was limited in 2020, our results could provide insights to better understand the genetic diversity of the circulating lineages in Ceará.
    Keywords COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; data collection ; databases ; genetic variation ; genome ; genomics ; monitoring ; mortality ; nonsense mutation ; pandemic ; research ; viruses ; Brazil
    Language English
    Dates of publication 2022-11
    Publishing place Elsevier B.V.
    Document type Article
    ZDB-ID 605780-9
    ISSN 1872-7492 ; 0168-1702
    ISSN (online) 1872-7492
    ISSN 0168-1702
    DOI 10.1016/j.virusres.2022.198908
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Genomic surveillance: Circulating lineages and genomic variation of SARS-CoV-2 in early pandemic in Ceará state, Northeast Brazil.

    Oliveira, Francisca Andréa da Silva / de Holanda, Maísa Viana / Lima, Luína Benevides / Dantas, Mariana Brito / Duarte, Igor Oliveira / de Castro, Luzia Gabrielle Zeferino / de Oliveira, Laís Lacerda Brasil / Paier, Carlos Roberto Koscky / Moreira-Nunes, Caroline de Fátima Aquino / Lima, Nicholas Costa Barroso / de Moraes, Maria Elisabete Amaral / de Moraes Filho, Manoel Odorico / Melo, Vânia Maria Maciel / Montenegro, Raquel Carvalho

    Virus research

    2022  Volume 321, Page(s) 198908

    Abstract: In the Northeast of Brazil, Ceará was the second state most impacted by COVID-19 in number of cases and death rate. Despite that, the early dynamics of the pandemic in Ceará was not yet well understood due the low genomic surveillance of SARS-CoV-2 in ... ...

    Abstract In the Northeast of Brazil, Ceará was the second state most impacted by COVID-19 in number of cases and death rate. Despite that, the early dynamics of the pandemic in Ceará was not yet well understood due the low genomic surveillance of SARS-CoV-2 in 2020. In this study, we analyze the circulating lineages and the genomic variation of the virus in Ceará state. Thirty-four genomes were sequenced and combined with sequences available in GISAID database from March 2020 to June 2021 to compose the study dataset. The most prevalent lineages detected were B.1.1.33, in 2020, and P.1, in 2021. Other lineages were found, such as P.2, sublineages of P.1, B.1, B.1.1, B.1.1.28 and B.1.212. Analyzing the mutations, a total of 202 single-nucleotide polymorphisms (SNPs) were identified among the 34 genomes sequenced, of which 127 were missense, 74 synonymous, and one was a nonsense mutation. Among the missense mutations, C14408T, A23403G, T27299C, G28881A G28883C, and T29148C were the most prevalent within the dataset. Although SARS-CoV-2 sequencing data was limited in 2020, our results could provide insights to better understand the genetic diversity of the circulating lineages in Ceará.
    MeSH term(s) Humans ; Brazil/epidemiology ; Codon, Nonsense ; COVID-19/epidemiology ; Genome, Viral ; Genomics ; Mutation ; Pandemics ; Phylogeny ; SARS-CoV-2/genetics
    Chemical Substances Codon, Nonsense
    Language English
    Publishing date 2022-08-31
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 605780-9
    ISSN 1872-7492 ; 0168-1702
    ISSN (online) 1872-7492
    ISSN 0168-1702
    DOI 10.1016/j.virusres.2022.198908
    Database MEDical Literature Analysis and Retrieval System OnLINE

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