Dataset Information

Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic.

ABSTRACT: During the first year of the SARS-CoV-2 pandemic in Mexico, more than two million people were infected. In this study, we analyzed full genome sequences from 27 February 2020 to 28 February 2021 to characterize the geographical and temporal distribution of SARS-CoV-2 lineages and identify the most common circulating lineages during this period. We defined six different geographical regions with particular dynamics of lineage circulation. The Northeast and Northwest regions were the ones that exhibited the highest lineage diversity, while the Central south and South/Southeast regions presented less diversity with predominance of a certain lineage. Additionally, by late February 2021, lineage B.1.1.519 represented more than 89% of all circulating lineages in the country.

SUBMITTER: Taboada B

PROVIDER: S-EPMC8622467 | biostudies-literature | 2021 Oct

REPOSITORIES: biostudies-literature

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Publications

Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic.

Taboada Blanca B Zárate Selene S Iša Pavel P Boukadida Celia C Vazquez-Perez Joel Armando JA Muñoz-Medina José Esteban JE Ramírez-González José Ernesto JE Comas-García Andreu A Grajales-Muñiz Concepción C Rincón-Rubio Alma A Matías-Florentino Margarita M Sanchez-Flores Alejandro A Mendieta-Condado Edgar E Verleyen Jerome J Barrera-Badillo Gisela G Hernández-Rivas Lucía L Mejía-Nepomuceno Fidencio F Martínez-Orozco José Arturo JA Becerril-Vargas Eduardo E López Susana S López-Martínez Irma I Ávila-Ríos Santiago S Arias Carlos F CF

Viruses 20211026 11

During the first year of the SARS-CoV-2 pandemic in Mexico, more than two million people were infected. In this study, we analyzed full genome sequences from 27 February 2020 to 28 February 2021 to characterize the geographical and temporal distribution of SARS-CoV-2 lineages and identify the most common circulating lineages during this period. We defined six different geographical regions with particular dynamics of lineage circulation. The Northeast and Northwest regions were the ones that exh ...[more]

PMID: 34834967

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Project description:Studies about the evolution of SARS-CoV-2 lineages in different backgrounds such as naive populations are still scarce, especially from South America. This work aimed to study the introduction and diversification pattern of SARS-CoV-2 during the first year of the COVID-19 pandemic in the Northwestern Argentina (NWA) region and to analyze the evolutionary dynamics of the main lineages found. In this study, we analyzed a total of 260 SARS-CoV-2 whole-genome sequences from Argentina, belonging to the Provinces of Jujuy, Salta, and Tucumán, from March 31st, 2020, to May 22nd, 2021, which covered the full first wave and the early second wave of the COVID-19 pandemic in Argentina. In the first wave, eight lineages were identified: B.1.499 (76.9%), followed by N.5 (10.2%), B.1.1.274 (3.7%), B.1.1.348 (3.7%), B.1 (2.8%), B.1.600 (0.9%), B.1.1.33 (0.9%) and N.3 (0.9%). During the early second wave, the first-wave lineages were displaced by the introduction of variants of concern (VOC) (Alpha, Gamma), or variants of interest (VOI) (Lambda, Zeta, Epsilon) and other lineages with more limited distribution. Phylodynamic analyses of the B.1.499 and N.5, the two most prevalent lineages in the NWA, revealed that the rate of evolution of lineage N.5 (7.9 × 10-4 substitutions per site per year, s/s/y) was a ∼40% faster than that of lineage B.1.499 (5.6 × 10-4 s/s/y), although both are in the same order of magnitude than other non-VOC lineages. No mutations associated with a biological characteristic of importance were observed as signatures markers of the phylogenetic groups established in Northwestern Argentina, however, single sequences in non-VOC lineages did present mutations of biological importance or associated with VOCs as sporadic events, showing that many of these mutations could emerge from circulation in the general population. This study contributed to the knowledge about the evolution of SARS-CoV-2 in a pre-vaccination and without post-exposure immunization period.

Project description:SARS-CoV-2 virus and its variants have proven to be a threat to global health, in part due to their capacity for rapid evolution. SARS-CoV-2 variants that emerged throughout the COVID-19 pandemic exhibited variations in virulence, leading to diminished vaccine protection and modulating disease severity. Research efforts have identified the molecular changes resulting from structural protein variants of SARS-CoV-2, particularly in Spike, that have enhanced infectivity. Yet, investigating variants of nonstructural proteins is equally critical to understand viral evolution and their role in manipulating protein-protein interactions within a host. This study focuses on nonstructural protein 3 (nsp3), a viral papain-like protease (PLpro) critical for viral polyprotein cleavage, which is also implicated in host de-ubiquitylation, ISGylation, and formation of double-membrane vesicles. Using affinity-purification mass spectrometry (AP-MS), we identify differential protein interactions caused by mutations in nsp3. Included are variants identified between 2019-2024: Alpha 20I, Beta20H, Delta21I, Delta21J, Gamma20J, Kappa21B, Lambda21G, Omicron21K, Omicron21L. A small set of amino acid substitutions in the cytosolic fragment and N-terminal region of nsp3 (nsp3.1) could be traced to increased interactions with RNA binding proteins, which are vital in viral replication. Nsp3.1 variants from Omicron 21K and 21L exhibit distinct patterns of host interactor enrichment, setting them apart from five other variants. In contrast, variants of the central region of nsp3 (nsp3.2) containing the PL2pro domain were found to share interactions with protein quality control machinery, including ER-associated degradation (ERAD). In this construct, shared trends in interactor enrichment are observed between Omicron21K and Delta21I, distinguishing them from three other variants. Our study highlights that even a small number of amino acid substitutions can significantly alter the interaction partners. Our study provides a roadmap to track the interaction changes driven by SARS-CoV-2 variant evolution, which is essential for elucidating the ongoing evolutionary arms race between the host and virus.

Dataset Information

Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic.

Publications

Genetic Analysis of SARS-CoV-2 Variants in Mexico during the First Year of the COVID-19 Pandemic.

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