Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2

The inflation of SARS-CoV-2 lineages with a high number of accumulated mutations (such as the recent case of Omicron) has risen concerns about the evolutionary capacity of this virus. Here, we propose a computational study to examine non-synonymous mutations gathered within genomes of SARS-CoV-2 fro...

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Main Authors: Ruba Al Khalaf, Anna Bernasconi, Pietro Pinoli, Stefano Ceri
Format: Article
Language:English
Published: Elsevier 2022-01-01
Series:Computational and Structural Biotechnology Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2001037022003312
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author Ruba Al Khalaf
Anna Bernasconi
Pietro Pinoli
Stefano Ceri
author_facet Ruba Al Khalaf
Anna Bernasconi
Pietro Pinoli
Stefano Ceri
author_sort Ruba Al Khalaf
collection DOAJ
description The inflation of SARS-CoV-2 lineages with a high number of accumulated mutations (such as the recent case of Omicron) has risen concerns about the evolutionary capacity of this virus. Here, we propose a computational study to examine non-synonymous mutations gathered within genomes of SARS-CoV-2 from the beginning of the pandemic until February 2022. We provide both qualitative and quantitative descriptions of such corpus, focusing on statistically significant co-occurring and mutually exclusive mutations within single genomes. Then, we examine in depth the distributions of mutations over defined lineages and compare those of frequently co-occurring mutation pairs. Based on this comparison, we study mutations’ convergence/divergence on the phylogenetic tree. As a result, we identify 1,818 co-occurring pairs of non-synonymous mutations showing at least one event of convergent evolution and 6,625 co-occurring pairs with at least one event of divergent evolution. Notable examples of both types are shown by means of a tree-based representation of lineages, visually capturing mutations’ behaviors. Our method confirms several well-known cases; moreover, the provided evidence suggests that our workflow can explain aspects of the future mutational evolution of SARS-CoV-2.
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spelling doaj.art-bcba2c8f88474215acdf32b07d2cb2462022-12-24T04:53:43ZengElsevierComputational and Structural Biotechnology Journal2001-03702022-01-012042384250Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2Ruba Al Khalaf0Anna Bernasconi1Pietro Pinoli2Stefano Ceri3Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy; Corresponding author.Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ItalyDipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, ItalyThe inflation of SARS-CoV-2 lineages with a high number of accumulated mutations (such as the recent case of Omicron) has risen concerns about the evolutionary capacity of this virus. Here, we propose a computational study to examine non-synonymous mutations gathered within genomes of SARS-CoV-2 from the beginning of the pandemic until February 2022. We provide both qualitative and quantitative descriptions of such corpus, focusing on statistically significant co-occurring and mutually exclusive mutations within single genomes. Then, we examine in depth the distributions of mutations over defined lineages and compare those of frequently co-occurring mutation pairs. Based on this comparison, we study mutations’ convergence/divergence on the phylogenetic tree. As a result, we identify 1,818 co-occurring pairs of non-synonymous mutations showing at least one event of convergent evolution and 6,625 co-occurring pairs with at least one event of divergent evolution. Notable examples of both types are shown by means of a tree-based representation of lineages, visually capturing mutations’ behaviors. Our method confirms several well-known cases; moreover, the provided evidence suggests that our workflow can explain aspects of the future mutational evolution of SARS-CoV-2.http://www.sciencedirect.com/science/article/pii/S2001037022003312SARS-CoV-2Co-occurring mutationsMutually exclusive mutationsConvergent evolutionDivergent evolutionStatistical testing
spellingShingle Ruba Al Khalaf
Anna Bernasconi
Pietro Pinoli
Stefano Ceri
Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
Computational and Structural Biotechnology Journal
SARS-CoV-2
Co-occurring mutations
Mutually exclusive mutations
Convergent evolution
Divergent evolution
Statistical testing
title Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
title_full Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
title_fullStr Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
title_full_unstemmed Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
title_short Analysis of co-occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in SARS-CoV-2
title_sort analysis of co occurring and mutually exclusive amino acid changes and detection of convergent and divergent evolution events in sars cov 2
topic SARS-CoV-2
Co-occurring mutations
Mutually exclusive mutations
Convergent evolution
Divergent evolution
Statistical testing
url http://www.sciencedirect.com/science/article/pii/S2001037022003312
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