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Global landscape of SARS-CoV-2 genomic surveillance and data sharing

Genomic surveillance has shaped our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. We performed a global landscape analysis on SARS-CoV-2 genomic surveillance and genomic data using a collection of country-specific data. Here, we characterize increasing circu...

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Autores principales: Chen, Zhiyuan, Azman, Andrew S., Chen, Xinhua, Zou, Junyi, Tian, Yuyang, Sun, Ruijia, Xu, Xiangyanyu, Wu, Yani, Lu, Wanying, Ge, Shijia, Zhao, Zeyao, Yang, Juan, Leung, Daniel T., Domman, Daryl B., Yu, Hongjie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005350/
https://www.ncbi.nlm.nih.gov/pubmed/35347305
http://dx.doi.org/10.1038/s41588-022-01033-y
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author Chen, Zhiyuan
Azman, Andrew S.
Chen, Xinhua
Zou, Junyi
Tian, Yuyang
Sun, Ruijia
Xu, Xiangyanyu
Wu, Yani
Lu, Wanying
Ge, Shijia
Zhao, Zeyao
Yang, Juan
Leung, Daniel T.
Domman, Daryl B.
Yu, Hongjie
author_facet Chen, Zhiyuan
Azman, Andrew S.
Chen, Xinhua
Zou, Junyi
Tian, Yuyang
Sun, Ruijia
Xu, Xiangyanyu
Wu, Yani
Lu, Wanying
Ge, Shijia
Zhao, Zeyao
Yang, Juan
Leung, Daniel T.
Domman, Daryl B.
Yu, Hongjie
author_sort Chen, Zhiyuan
collection PubMed
description Genomic surveillance has shaped our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. We performed a global landscape analysis on SARS-CoV-2 genomic surveillance and genomic data using a collection of country-specific data. Here, we characterize increasing circulation of the Alpha variant in early 2021, subsequently replaced by the Delta variant around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 45 countries performing a high level of routine genomic surveillance and 96 countries with a high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequencing percentage, sequencing technologies, turnaround time and completeness of released metadata across regions and income groups. A total of 37% of countries with explicit reporting on variants shared less than half of their sequences of variants of concern (VOCs) in public repositories. Our findings indicate an urgent need to increase timely and full sharing of sequences, the standardization of metadata files and support for countries with limited sequencing and bioinformatics capacity.
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spelling pubmed-90053502022-04-27 Global landscape of SARS-CoV-2 genomic surveillance and data sharing Chen, Zhiyuan Azman, Andrew S. Chen, Xinhua Zou, Junyi Tian, Yuyang Sun, Ruijia Xu, Xiangyanyu Wu, Yani Lu, Wanying Ge, Shijia Zhao, Zeyao Yang, Juan Leung, Daniel T. Domman, Daryl B. Yu, Hongjie Nat Genet Analysis Genomic surveillance has shaped our understanding of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants. We performed a global landscape analysis on SARS-CoV-2 genomic surveillance and genomic data using a collection of country-specific data. Here, we characterize increasing circulation of the Alpha variant in early 2021, subsequently replaced by the Delta variant around May 2021. SARS-CoV-2 genomic surveillance and sequencing availability varied markedly across countries, with 45 countries performing a high level of routine genomic surveillance and 96 countries with a high availability of SARS-CoV-2 sequencing. We also observed a marked heterogeneity of sequencing percentage, sequencing technologies, turnaround time and completeness of released metadata across regions and income groups. A total of 37% of countries with explicit reporting on variants shared less than half of their sequences of variants of concern (VOCs) in public repositories. Our findings indicate an urgent need to increase timely and full sharing of sequences, the standardization of metadata files and support for countries with limited sequencing and bioinformatics capacity. Nature Publishing Group US 2022-03-28 2022 /pmc/articles/PMC9005350/ /pubmed/35347305 http://dx.doi.org/10.1038/s41588-022-01033-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Analysis
Chen, Zhiyuan
Azman, Andrew S.
Chen, Xinhua
Zou, Junyi
Tian, Yuyang
Sun, Ruijia
Xu, Xiangyanyu
Wu, Yani
Lu, Wanying
Ge, Shijia
Zhao, Zeyao
Yang, Juan
Leung, Daniel T.
Domman, Daryl B.
Yu, Hongjie
Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title_full Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title_fullStr Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title_full_unstemmed Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title_short Global landscape of SARS-CoV-2 genomic surveillance and data sharing
title_sort global landscape of sars-cov-2 genomic surveillance and data sharing
topic Analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9005350/
https://www.ncbi.nlm.nih.gov/pubmed/35347305
http://dx.doi.org/10.1038/s41588-022-01033-y
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