Short Report: Early genomic detection of SARS-CoV-2 P.1 variant in Northeast Brazil.
Short Report: Early genomic detection of SARS-CoV-2 P.1 variant in Northeast Brazil.
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DOI:
10.1371/journal.pntd.0009591
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发表时间:
2021-07
影响因子:
3.8
通讯作者:
Leal A
中科院分区:
文献类型:
--
作者:
Tosta S;Giovanetti M;Brandão Nardy V;Reboredo de Oliveira da Silva L;Kelly Astete Gómez M;Gomes Lima J;Wanderley Cardoso C;Oliveira Silva T;São Pedro Leal de Souza M;Presta Dias PH;Fonseca V;de Oliveira T;Lourenço J;Carlos Junior Alcantara L;Pereira F;Leal A
Tracking the spread of SARS-CoV-2 variants of concern is crucial to inform public health efforts and control the ongoing pandemic. Here, we report genetic evidence for circulation of the P.1 variant in Northeast Brazil. We advocate for increased active surveillance to ensure adequate control of this variant throughout the country. In recent months’ variants of SARS-CoV-2 that have more mutations on the Spike protein has brought concern all over the world. These have been called ‘variants of concern’ (VOC) as it has been suggested that their genome mutations might impact transmission, immune control, and virulence. The P.1 variant, also known as 20J/501Y.V3, was first identified in travelers from Brazil during routine airport screening in Tokyo, Japan, in early January 2021. This VOC has 17 amino acid changes, ten of which are in its spike protein, including three designated to be of particular concern: N501Y, E484K and K417T. Since its first detection, despite it has presented sustained transmission worldwide, much is still unknown about its circulation into Brazilian regions. Here, through an active monitoring conducted by public health authorities of the Bahia state (Northeast Brazil), we report genetic evidence for circulation of the P.1 variant into the state. Our findings reinforce that continued genomic surveillance strategies are needed to assist in the monitoring and understanding of the circulating and co-circulating SARS-CoV-2 variants, which might help to attenuate their public health impact worldwide.
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影响因子:
7.7
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Bieniasz PD
影响因子:
11.8
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通讯作者:
de Freitas Souza BS
DOI:
10.1093/bioinformatics/bty695
发表时间:
2019-03-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
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Vilsker M;Moosa Y;Nooij S;Fonseca V;Ghysens Y;Dumon K;Pauwels R;Alcantara LC;Vanden Eynden E;Vandamme AM;Deforche K;de Oliveira T
通讯作者:
de Oliveira T
影响因子:
82.9
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通讯作者:
Bello, Gonzalo
DOI:
10.1126/science.abh2644
发表时间:
2021-05-21
期刊:
Science (New York, N.Y.)
影响因子:
--
作者:
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通讯作者:
Sabino EC