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Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns

Despite unprecedented global sequencing and surveillance of SARS-CoV-2, timely identification of the emergence and spread of novel variants of concern (VoCs) remains a challenge. Several million raw genome sequencing runs are now publicly available. We sought to survey these datasets for intrahost v...

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Autores principales: Thommana, Ashley, Shakya, Migun, Gandhi, Jaykumar, Fung, Christian K., Chain, Patrick S.G., Berry, Irina Maljkovic, Conte, Matthew A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413717/
https://www.ncbi.nlm.nih.gov/pubmed/36032969
http://dx.doi.org/10.1101/2022.08.16.504117
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author Thommana, Ashley
Shakya, Migun
Gandhi, Jaykumar
Fung, Christian K.
Chain, Patrick S.G.
Berry, Irina Maljkovic
Conte, Matthew A.
author_facet Thommana, Ashley
Shakya, Migun
Gandhi, Jaykumar
Fung, Christian K.
Chain, Patrick S.G.
Berry, Irina Maljkovic
Conte, Matthew A.
author_sort Thommana, Ashley
collection PubMed
description Despite unprecedented global sequencing and surveillance of SARS-CoV-2, timely identification of the emergence and spread of novel variants of concern (VoCs) remains a challenge. Several million raw genome sequencing runs are now publicly available. We sought to survey these datasets for intrahost variation to study emerging mutations of concern. We developed iSKIM (“intrahost SARS-CoV-2 k-mer identification method”) to relatively quickly and efficiently screen the many SARS-CoV-2 datasets to identify intrahost mutations belonging to lineages of concern. Certain mutations surged in frequency as intrahost minor variants just prior to, or while lineages of concern arose. The Spike N501Y change common to several VoCs was found as a minor variant in 834 samples as early as October 2020. This coincides with the timing of the first detected samples with this mutation in the Alpha/B.1.1.7 and Beta/B.1.351 lineages. Using iSKIM, we also found that Spike L452R was detected as an intrahost minor variant as early as September 2020, prior to the observed rise of the Epsilon/B.1.429/B.1.427 lineages in late 2020. iSKIM rapidly screens for mutations of interest in raw data, prior to genome assembly, and can be used to detect increases in intrahost variants, potentially providing an early indication of novel variant spread.
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spelling pubmed-94137172022-08-27 Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns Thommana, Ashley Shakya, Migun Gandhi, Jaykumar Fung, Christian K. Chain, Patrick S.G. Berry, Irina Maljkovic Conte, Matthew A. bioRxiv Article Despite unprecedented global sequencing and surveillance of SARS-CoV-2, timely identification of the emergence and spread of novel variants of concern (VoCs) remains a challenge. Several million raw genome sequencing runs are now publicly available. We sought to survey these datasets for intrahost variation to study emerging mutations of concern. We developed iSKIM (“intrahost SARS-CoV-2 k-mer identification method”) to relatively quickly and efficiently screen the many SARS-CoV-2 datasets to identify intrahost mutations belonging to lineages of concern. Certain mutations surged in frequency as intrahost minor variants just prior to, or while lineages of concern arose. The Spike N501Y change common to several VoCs was found as a minor variant in 834 samples as early as October 2020. This coincides with the timing of the first detected samples with this mutation in the Alpha/B.1.1.7 and Beta/B.1.351 lineages. Using iSKIM, we also found that Spike L452R was detected as an intrahost minor variant as early as September 2020, prior to the observed rise of the Epsilon/B.1.429/B.1.427 lineages in late 2020. iSKIM rapidly screens for mutations of interest in raw data, prior to genome assembly, and can be used to detect increases in intrahost variants, potentially providing an early indication of novel variant spread. Cold Spring Harbor Laboratory 2022-08-16 /pmc/articles/PMC9413717/ /pubmed/36032969 http://dx.doi.org/10.1101/2022.08.16.504117 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Thommana, Ashley
Shakya, Migun
Gandhi, Jaykumar
Fung, Christian K.
Chain, Patrick S.G.
Berry, Irina Maljkovic
Conte, Matthew A.
Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title_full Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title_fullStr Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title_full_unstemmed Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title_short Intrahost SARS-CoV-2 k-mer identification method (iSKIM) for rapid detection of mutations of concern reveals emergence of global mutation patterns
title_sort intrahost sars-cov-2 k-mer identification method (iskim) for rapid detection of mutations of concern reveals emergence of global mutation patterns
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9413717/
https://www.ncbi.nlm.nih.gov/pubmed/36032969
http://dx.doi.org/10.1101/2022.08.16.504117
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