Mutation patterns in SARS-COV-2 Alpha and Beta variants indicate non-neutral evolution
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Abstract
Due to the emergence of new variants of the SARS-CoV-2 coronavirus, the question of how the viral genomes evolved, leading to the formation of highly infectious strains, becomes particularly important. Two early emergent strains, Alpha and Beta, characterized by a significant number of missense mutations, provide natural testing samples.
In this study we are exploring the history of each of the segregating sites present in Alpha and Beta variants of concern, to address the question whether defining mutations were accumulating gradually leading to the formation of sequence characteristic of these variants.
Our analysis exposes data features that suggest other than neutral evolution of SARS-CoV-2 genomes, leading to emergence of variants of concern. We observe only small number of possible combinations of mutations indicating rapid evolution of genomes. In addtion, mutation patterns observed in whole genome samples of Alpha and Beta variants also indicate presence of stronger selection than in remaining genome samples.
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SciScore for 10.1101/2022.02.28.482283: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources Then we calculated the distance between each sequence and consensus sequence obtained using EMBOSS cons. EMBOSSsuggested: (EMBOSS, RRID:SCR_008493)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues …
SciScore for 10.1101/2022.02.28.482283: (What is this?)
Please note, not all rigor criteria are appropriate for all manuscripts.
Table 1: Rigor
NIH rigor criteria are not applicable to paper type.Table 2: Resources
Software and Algorithms Sentences Resources Then we calculated the distance between each sequence and consensus sequence obtained using EMBOSS cons. EMBOSSsuggested: (EMBOSS, RRID:SCR_008493)Results from OddPub: Thank you for sharing your data.
Results from LimitationRecognizer: An explicit section about the limitations of the techniques employed in this study was not found. We encourage authors to address study limitations.Results from TrialIdentifier: No clinical trial numbers were referenced.
Results from Barzooka: We did not find any issues relating to the usage of bar graphs.
Results from JetFighter: We did not find any issues relating to colormaps.
Results from rtransparent:- Thank you for including a conflict of interest statement. Authors are encouraged to include this statement when submitting to a journal.
- Thank you for including a funding statement. Authors are encouraged to include this statement when submitting to a journal.
- No protocol registration statement was detected.
Results from scite Reference Check: We found no unreliable references.
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