| Literature DB >> 34704780 |
Pedro E Romero1,2, Alejandra Dávila-Barclay1, Guillermo Salvatierra1, Luis González1, Diego Cuicapuza1, Luis Solís1, Pool Marcos-Carbajal1,3, Janet Huancachoque1, Lenin Maturrano4, Pablo Tsukayama1,5,6.
Abstract
Entities:
Keywords: C.37; COVID-19; SARS-CoV-2; South America; genome analysis
Mesh:
Year: 2021 PMID: 34704780 PMCID: PMC8549758 DOI: 10.1128/Spectrum.00789-21
Source DB: PubMed Journal: Microbiol Spectr ISSN: 2165-0497
FIG 1(A) Maximum likelihood tree from 3,100 SARS-CoV-2 genomes reported in Peru between 1 November 2020 and 1 July 2021, highlighting variants alpha (n = 23), gamma (n = 350), and lambda (n = 2,077). The tree was obtained using the augur pipeline (6) under a general time-reversible (GTR) model of nucleotide substitution and assuming a clock rate of 8 × 10−4. The scale represents the number of mutations. Complete information of other circulating PANGO lineages can be accessed from https://nextstrain.org/community/quipupe/Peru_lambda. Two genomes from China (EPI_ISL_402123, EPI_ISL_406798) were used as the outgroup. (B) Relative frequencies of predominant SARS-CoV-2 variants in public genomic data sets from Peru (n = 3,100), Chile (n = 4,469), and Argentina (n = 1,331) from November 2020 to July 2021. The black curve indicates excess mortality deaths relative to previous years by epidemiological week, obtained from the coronavirus R package (https://github.com/RamiKrispin/coronavirus). (C) Nonsynonymous mutations present in SARS-CoV-2 variant lambda.