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SARS-CoV-2 genomic surveillance in Costa Rica: Evidence of a divergent population and an increased detection of a spike T1117I mutation.
Molina-Mora, Jose Arturo; Cordero-Laurent, Estela; Godínez, Adriana; Calderón-Osorno, Melany; Brenes, Hebleen; Soto-Garita, Claudio; Pérez-Corrales, Cristian; Drexler, Jan Felix; Moreira-Soto, Andres; Corrales-Aguilar, Eugenia; Duarte-Martínez, Francisco.
  • Molina-Mora JA; Centro de Investigación en Enfermedades Tropicales (CIET) & Facultad de Microbiología, Universidad de Costa Rica, Costa Rica. Electronic address: jose.molinamora@ucr.ac.cr.
  • Cordero-Laurent E; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: ecordero@inciensa.sa.cr.
  • Godínez A; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: agodinez@inciensa.sa.cr.
  • Calderón-Osorno M; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: mcalderon@inciensa.sa.cr.
  • Brenes H; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: hbrenes@inciensa.sa.cr.
  • Soto-Garita C; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: csoto@inciensa.sa.cr.
  • Pérez-Corrales C; Hospital Nacional De Niños Dr. Carlos Sáenz Herrera, Caja Costarricense de Seguro Social (CCSS), Costa Rica.
  • Drexler JF; Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany. Electronic address: felix.drexler@charite.de.
  • Moreira-Soto A; Charité-Universitätsmedizin Berlin, Humboldt-Universität zu Berlin, Berlin Institute of Health, Berlin, Germany. Electronic address: andres.moreira-soto@charite.de.
  • Corrales-Aguilar E; Centro de Investigación en Enfermedades Tropicales (CIET) & Facultad de Microbiología, Universidad de Costa Rica, Costa Rica. Electronic address: eugenia.corrales@ucr.ac.cr.
  • Duarte-Martínez F; Instituto Costarricense de Investigación y Enseñanza en Nutrición y Salud (INCIENSA), Tres Ríos, Cartago, Costa Rica. Electronic address: fduarte@inciensa.sa.cr.
Infect Genet Evol ; 92: 104872, 2021 08.
Article in English | MEDLINE | ID: covidwho-1202173
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
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ABSTRACT
Genome sequencing is a key strategy in the surveillance of SARS-CoV-2, the virus responsible for the COVID-19 pandemic. Latin America is the hardest-hit region of the world, accumulating almost 20% of COVID-19 cases worldwide. In Costa Rica, from the first detected case on March 6th to December 31st almost 170,000 cases have been reported. We analyzed the genomic variability during the SARS-CoV-2 pandemic in Costa Rica using 185 sequences, 52 from the first months of the pandemic, and 133 from the current wave. Three GISAID clades (G, GH, and GR) and three PANGOLIN lineages (B.1, B.1.1, and B.1.291) were predominant, suggesting multiple re-introductions from other regions. The whole-genome variant calling analysis identified a total of 283 distinct nucleotide variants, following a power-law distribution with 190 single nucleotide mutations in a single sequence, and only 16 mutations were found in >5% sequences. These mutations were distributed through the whole genome. The prevalence of worldwide-found variant D614G in the Spike (98.9% in Costa Rica), ORF8 L84S (1.1%) is similar to what is found elsewhere. Interestingly, the frequency of mutation T1117I in the Spike has increased during the current pandemic wave beginning in May 2020 in Costa Rica, reaching 29.2% detection in the full genome analyses in November 2020. This variant has been observed in less than 1% of the GISAID reported sequences worldwide in 2020. Structural modeling of the Spike protein with the T1117I mutation suggests a potential effect on the viral oligomerization needed for cell infection, but no differences with other genomes on transmissibility, severity nor vaccine effectiveness are predicted. In conclusion, genome analyses of the SARS-CoV-2 sequences over the course of the COVID-19 pandemic in Costa Rica suggest the introduction of lineages from other countries and the detection of mutations in line with other studies, but pointing out the local increase in the detection of Spike-T1117I variant. The genomic features of this virus need to be monitored and studied in further analyses as part of the surveillance program during the pandemic.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Variation / Genomics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Limits: Female / Humans / Male Country/Region as subject: Central America / Costa Rica Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Genetic Variation / Genomics / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials Topics: Vaccines / Variants Limits: Female / Humans / Male Country/Region as subject: Central America / Costa Rica Language: English Journal: Infect Genet Evol Journal subject: Biology / Communicable Diseases / Genetics Year: 2021 Document Type: Article