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A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294598/ https://www.ncbi.nlm.nih.gov/pubmed/34308277 http://dx.doi.org/10.1016/j.isci.2021.102892 |
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author | Liu, Tiantian Chen, Zhong Chen, Wanqiu Chen, Xin Hosseini, Maryam Yang, Zhaowei Li, Jing Ho, Diana Turay, David Gheorghe, Ciprian P. Jones, Wendell Wang, Charles |
author_facet | Liu, Tiantian Chen, Zhong Chen, Wanqiu Chen, Xin Hosseini, Maryam Yang, Zhaowei Li, Jing Ho, Diana Turay, David Gheorghe, Ciprian P. Jones, Wendell Wang, Charles |
author_sort | Liu, Tiantian |
collection | PubMed |
description | Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance variation exists across SARS-CoV-2 viral WGS technologies, but there is currently no benchmarking study comparing different WGS sequencing protocols. We compared seven different SARS-CoV-2 WGS library protocols using RNA from patient nasopharyngeal swab samples under two storage conditions with low and high viral inputs. We found large differences in mappability and genome coverage, and variations in sensitivity, reproducibility, and precision of single-nucleotide variant calling across different protocols. For certain amplicon-based protocols, an appropriate primer trimming step is critical for accurate single-nucleotide variant calling. We ranked the performance of protocols based on six different metrics. Our findings offer guidance in choosing appropriate WGS protocols to characterize SARS-CoV-2 and its evolution. |
format | Online Article Text |
id | pubmed-8294598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-82945982021-07-21 A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples Liu, Tiantian Chen, Zhong Chen, Wanqiu Chen, Xin Hosseini, Maryam Yang, Zhaowei Li, Jing Ho, Diana Turay, David Gheorghe, Ciprian P. Jones, Wendell Wang, Charles iScience Article Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is an emerging new type of coronavirus that is responsible for the COVID-19 pandemic and the unprecedented global health emergency. Whole-genome sequencing (WGS) of SARS-CoV-2 plays a critical role in understanding the disease. Performance variation exists across SARS-CoV-2 viral WGS technologies, but there is currently no benchmarking study comparing different WGS sequencing protocols. We compared seven different SARS-CoV-2 WGS library protocols using RNA from patient nasopharyngeal swab samples under two storage conditions with low and high viral inputs. We found large differences in mappability and genome coverage, and variations in sensitivity, reproducibility, and precision of single-nucleotide variant calling across different protocols. For certain amplicon-based protocols, an appropriate primer trimming step is critical for accurate single-nucleotide variant calling. We ranked the performance of protocols based on six different metrics. Our findings offer guidance in choosing appropriate WGS protocols to characterize SARS-CoV-2 and its evolution. Elsevier 2021-07-21 /pmc/articles/PMC8294598/ /pubmed/34308277 http://dx.doi.org/10.1016/j.isci.2021.102892 Text en © 2021 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Liu, Tiantian Chen, Zhong Chen, Wanqiu Chen, Xin Hosseini, Maryam Yang, Zhaowei Li, Jing Ho, Diana Turay, David Gheorghe, Ciprian P. Jones, Wendell Wang, Charles A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title | A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title_full | A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title_fullStr | A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title_full_unstemmed | A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title_short | A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples |
title_sort | benchmarking study of sars-cov-2 whole-genome sequencing protocols using covid-19 patient samples |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8294598/ https://www.ncbi.nlm.nih.gov/pubmed/34308277 http://dx.doi.org/10.1016/j.isci.2021.102892 |
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