Dataset Information

Genomic epidemiology of SARS-CoV-2 transmission lineages in Ecuador.

ABSTRACT: Characterisation of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic diversity through space and time can reveal trends in virus importation and domestic circulation and permit the exploration of questions regarding the early transmission dynamics. Here, we present a detailed description of SARS-CoV-2 genomic epidemiology in Ecuador, one of the hardest hit countries during the early stages of the coronavirus-19 pandemic. We generated and analysed 160 whole genome sequences sampled from all provinces of Ecuador in 2020. Molecular clock and phylogeographic analysis of these sequences in the context of global SARS-CoV-2 diversity enable us to identify and characterise individual transmission lineages within Ecuador, explore their spatiotemporal distributions, and consider their introduction and domestic circulation. Our results reveal a pattern of multiple international importations across the country, with apparent differences between key provinces. Transmission lineages were mostly introduced before the implementation of non-pharmaceutical interventions, with differential degrees of persistence and national dissemination.

SUBMITTER: Gutierrez B

PROVIDER: S-EPMC8244811 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Genomic epidemiology of SARS-CoV-2 transmission lineages in Ecuador.

Gutierrez Bernardo B Márquez Sully S Prado-Vivar Belén B Becerra-Wong Mónica M Guadalupe Juan José JJ Candido Darlan Da Silva DDS Fernandez-Cadena Juan Carlos JC Morey-Leon Gabriel G Armas-Gonzalez Rubén R Andrade-Molina Derly Madeleiny DM Bruno Alfredo A De Mora Domenica D Olmedo Maritza M Portugal Denisse D Gonzalez Manuel M Orlando Alberto A Drexler Jan Felix JF Moreira-Soto Andres A Sander Anna-Lena AL Brünink Sebastian S Kühne Arne A Patiño Leandro L Carrazco-Montalvo Andrés A Mestanza Orson O Zurita Jeannete J Sevillano Gabriela G Du Plessis Louis L McCrone John T JT Coloma Josefina J Trueba Gabriel G Barragán Verónica V Rojas-Silva Patricio P Grunauer Michelle M Kraemer Moritz U G MUG Faria Nuno R NR Escalera-Zamudio Marina M Pybus Oliver G OG Cárdenas Paúl P

Virus evolution 20210604 2

Characterisation of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) genetic diversity through space and time can reveal trends in virus importation and domestic circulation and permit the exploration of questions regarding the early transmission dynamics. Here, we present a detailed description of SARS-CoV-2 genomic epidemiology in Ecuador, one of the hardest hit countries during the early stages of the coronavirus-19 pandemic. We generated and analysed 160 whole genome sequences sa ...[more]

PMID: 34527281

Similar Datasets

Project description:With the progression of the global SARS-CoV-2 pandemic, the new variants have become more infectious and continue spreading at a higher rate than pre-existing ones. Thus, we conducted a study to explore the epidemiology of emerging variants of SARS-CoV-2 that circulated in Bangladesh from December 2020 to September 2021, representing the 2nd and 3rd waves. We collected new cases and deaths per million daily data with the reproduction rate. We retrieved 928 SARS-CoV-2 sequences from GISAID and performed phylogenetic tree construction and mutation analysis. Case counts were lower initially at the end of 2020, during January-February and April-May 2021, whereas the death toll reached the highest value of 1.587 per million on the first week of August and then started to decline. All the variants (α, β, δ, η) were prevalent in the capital city, Dhaka, with dispersion to large cities, such as Sylhet and Chattogram. The B.1.1.25 lineage was prevalent during December 2020, but the B.1.617.2/δ variant was later followed by the B.1.351/β variant. The phylogeny revealed that the various strains found in Bangladesh could be from numerous countries. The intra-cluster and inter-cluster communication began in Bangladesh soon after the virus arrived. The prominent amino acid substitution was D614G from December 2020 to July 2021 (93.5 to 100%). From February-April, one of the VOC's important mutations, N501Y substitution, was also estimated at 51.8%, 76.1%, and 65.1% for the α, β and γ variants, respectively. The γ variant's unique mutation K417T was detected only at 1.8% in February. Another frequent mutation was P681R, a salient feature of the δ variant, detected in June (88.2%) and July (100%). Furthermore, only one γ variant was detected during the entire second and third wave, whereas no η variant was observed in this period. This rapid growth in the number of variants identified across Bangladesh shows virus adaptation and a lack of strict quarantine, prompting periodic genomic surveillance to foresee the spread of new variants, if any, and to take preventive measures as soon as possible.

Dataset Information

Genomic epidemiology of SARS-CoV-2 transmission lineages in Ecuador.

Publications

Genomic epidemiology of SARS-CoV-2 transmission lineages in Ecuador.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets