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Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections

Authors :
Matthew D. Parker
Hazel Stewart
Ola M. Shehata
Benjamin B. Lindsey
Dhruv R. Shah
Sharon Hsu
Alexander J. Keeley
David G. Partridge
Shay Leary
Alison Cope
Amy State
Katie Johnson
Nasar Ali
Rasha Raghei
Joe Heffer
Nikki Smith
Peijun Zhang
Marta Gallis
Stavroula F. Louka
Hailey R. Hornsby
Hatoon Alamri
Max Whiteley
Benjamin H. Foulkes
Stella Christou
Paige Wolverson
Manoj Pohare
Samantha E. Hansford
Luke R. Green
Cariad Evans
Mohammad Raza
Dennis Wang
Andrew E. Firth
James R. Edgar
Silvana Gaudieri
Simon Mallal
The COVID-19 Genomics UK (COG-UK) consortium
Mark O. Collins
Andrew A. Peden
Thushan I. de Silva
Source :
Communications Biology, Vol 5, Iss 1, Pp 1-10 (2022)
Publication Year :
2022
Publisher :
Nature Portfolio, 2022.

Abstract

Matthew Parker et al. use the ARTIC network tiled amplicon PCR and Oxford Nanopore sequencing of thousands of SARS-CoV-2 samples to detect subgenomic RNA changes in the B.1.1.7 lineage endemic in the UK in late 2020/early 2021. They discovered higher subgenomic RNA in B.1.1.7 compared to previous lineages, and find a noncanonical subgenomic RNA that could encode ORF9b.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
23993642
Volume :
5
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.4136fc5fe3f462ca4c6714d58abfce9
Document Type :
article
Full Text :
https://doi.org/10.1038/s42003-022-03565-9