SARS-CoV-2 sequencing with cloud-based analysis illustrates expedient co-ordinated surveillance of viral genomic epidemiology across six continents
Author:
Amoako Daniel, Anh Nguyen To, Bastable Jasmine, Brouard Marc, Campano Romero Constanza, Castillo Ramirez Andres, Constantinides Bede, Crook Derrick, Cuong Phan Manh, Diagne Moussa Moise, Diallo Amadou, Dung Nguyen Thanh, Dunn Laura, Duyet Le Van, Everatt Josie, Fletcher Katherine, Fowler PhilipORCID, Gall Mailie, Gentry Jessica, Gharbia Saheer, Hong Nguyen Thi Thu, Hunt MartinORCID, Iqbal ZamORCID, Jeffery Katie, Kekana Dikeledi, Kesteman Thomas, Knaggs Jeff, Lopes Alves Marcela, Man Dinh Nguyen Huy, Mathers Amy J., Ngoc Nghiem My, Oakley Sarah, Parikh Hardik, Peto Tim, Rojas Herrera Marcelo, Sanderson Nicholas, Sintchenko Vitali, Swann Jeremy, Tam Nguyen Thi, Tan Le VanORCID, Thach Pham Ngoc, Top Ndeye Marieme, Trang Nguyen Thu, Trang Van Dinh, Van Doorn H. Rogier, Von Gottberg Anne, Wolter Nicole, Young Bernadette C,
Abstract
AbstractViral sequencing has been critical in the COVID-19 pandemic response, but sequencing and bioinformatics capacity remain inconsistent. To examine the utility of a cloud-based sequencing analysis platform for SARS-CoV-2 sequencing, we conducted a cross-sectional study incorporating seven countries in July 2022. Sites submitted sequential SARS-CoV-2 sequences over two weeks to the Global Pathogen Analysis Service (GPAS). The GPAS bioinformatics cloud platform performs sequence assembly plus lineage and related sample identification. Users can share information with collaborators while retaining data ownership. Seven sites contributed sequencing reads from 5,346 clinical samples, of which 4,799/5,346 (89.8%) had a lineage identified. Omicron lineages dominated, with the vast majority being BA.5, BA.4 and BA.2, commensurate with contemporary genomic epidemiological observations. Phylogenetic analysis demonstrated low within-lineage diversity, and highly similar sequences present in globally disparate sites. A cloud-based analysis platform like GPAS addresses bioinformatics bottlenecks and facilitates collaboration in pathogen surveillance, enhancing epidemic and pandemic preparedness.
Publisher
Cold Spring Harbor Laboratory
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