Dataset Information

Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.

ABSTRACT: Understanding the molecular evolution of the SARS-CoV-2 virus as it continues to spread in communities around the globe is important for mitigation and future pandemic preparedness. Three-dimensional structures of SARS-CoV-2 proteins and those of other coronavirusess archived in the Protein Data Bank were used to analyze viral proteome evolution during the first 6 months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the observed amino acid changes in >48 000 viral isolates revealed how each one of 29 viral proteins have undergone amino acid changes. Catalytic residues in active sites and binding residues in protein-protein interfaces showed modest, but significant, numbers of substitutions, highlighting the mutational robustness of the viral proteome. Energetics calculations showed that the impact of substitutions on the thermodynamic stability of the proteome follows a universal bi-Gaussian distribution. Detailed results are presented for potential drug discovery targets and the four structural proteins that comprise the virion, highlighting substitutions with the potential to impact protein structure, enzyme activity, and protein-protein and protein-nucleic acid interfaces. Characterizing the evolution of the virus in three dimensions provides testable insights into viral protein function and should aid in structure-based drug discovery efforts as well as the prospective identification of amino acid substitutions with potential for drug resistance.

SUBMITTER: Lubin JH

PROVIDER: S-EPMC8661935 | biostudies-literature | 2022 May

REPOSITORIES: biostudies-literature

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Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.

Lubin Joseph H JH Zardecki Christine C Dolan Elliott M EM Lu Changpeng C Shen Zhuofan Z Dutta Shuchismita S Westbrook John D JD Hudson Brian P BP Goodsell David S DS Williams Jonathan K JK Voigt Maria M Sarma Vidur V Xie Lingjun L Venkatachalam Thejasvi T Arnold Steven S Alfaro Alvarado Luz Helena LH Catalfano Kevin K Khan Aaliyah A McCarthy Erika E Staggers Sophia S Tinsley Brea B Trudeau Alan A Singh Jitendra J Whitmore Lindsey L Zheng Helen H Benedek Matthew M Currier Jenna J Dresel Mark M Duvvuru Ashish A Dyszel Britney B Fingar Emily E Hennen Elizabeth M EM Kirsch Michael M Khan Ali A AA Labrie-Cleary Charlotte C Laporte Stephanie S Lenkeit Evan E Martin Kailey K Orellana Marilyn M Ortiz-Alvarez de la Campa Melanie M Paredes Isaac I Wheeler Baleigh B Rupert Allison A Sam Andrew A See Katherine K Soto Zapata Santiago S Craig Paul A PA Hall Bonnie L BL Jiang Jennifer J Koeppe Julia R JR Mills Stephen A SA Pikaart Michael J MJ Roberts Rebecca R Bromberg Yana Y Hoyer J Steen JS Duffy Siobain S Tischfield Jay J Ruiz Francesc X FX Arnold Eddy E Baum Jean J Sandberg Jesse J Brannigan Grace G Khare Sagar D SD Burley Stephen K SK

Proteins 20211009 5

Understanding the molecular evolution of the SARS-CoV-2 virus as it continues to spread in communities around the globe is important for mitigation and future pandemic preparedness. Three-dimensional structures of SARS-CoV-2 proteins and those of other coronavirusess archived in the Protein Data Bank were used to analyze viral proteome evolution during the first 6 months of the COVID-19 pandemic. Analyses of spatial locations, chemical properties, and structural and energetic impacts of the obse ...[more]

PMID: 34580920

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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.

Dataset Information

Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.

Publications

Evolution of the SARS-CoV-2 proteome in three dimensions (3D) during the first 6 months of the COVID-19 pandemic.

Similar Datasets

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