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A novel approach to finding conserved features in low-variability gene alignments characterises RNA motifs in SARS-CoV and SARS-CoV-2

Published version
Peer-reviewed

Repository DOI


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Authors

Skittrall, Jordan 
Irigoyen, Nerea 
Brierley, Ian 
Gog, Julia 

Abstract

Collections of genetic sequences belonging to related organisms contain information on the evolutionary constraints to which the organisms have been subjected. Heavily constrained regions can be investigated to understand their roles in an organism’s life cycle, and drugs can be sought to disrupt these roles. In organisms with low genetic diversity, such as newly-emerged pathogens, it is key to obtain this information early to develop new treatments. Here, we present methods that ensure we can leverage all the information available in a low-signal, low-noise set of sequences, to find contiguous regions of relatively conserved nucleic acid. We demonstrate the application of these methods by analysing over 5 million genome sequences of the recently-emerged RNA virus SARS-CoV-2 and correlating these results with an analysis of 119 genome sequences of SARS-CoV. We propose the precise location of a previously described packaging signal, and discuss explanations for other regions of high conservation.

Description

Acknowledgements: We gratefully acknowledge all data contributors, i.e., the Authors and their Originating laboratories responsible for obtaining the specimens, and their Submitting laboratories for generating the genetic sequence and metadata and sharing via the GISAID Initiative, on which the SARS-CoV-2 portion of this research is based. We similarly acknowledge those who have generated and shared via GenBank the sequences on which the E. coli and SARS-CoV portions of this research are based. J.P.S. acknowledges funding from the Mason Medical Research Foundation and from the NIHR Clinical Lecturer programme. The views expressed are those of the authors and not necessarily those of the NIHR or the Department of Health and Social Care. I.B. acknowledges funding from the Biotechnology and Biological Sciences Research Council (grant number G105439).


Funder: National Institute for Health and Care Research; doi: http://dx.doi.org/10.13039/501100000272


Funder: Mason Medical Research Trust; doi: http://dx.doi.org/10.13039/501100022315

Keywords

Humans, SARS-CoV-2, COVID-19, Nucleotide Motifs, Sequence Alignment, Genome, Viral, Severe acute respiratory syndrome-related coronavirus

Journal Title

Scientific Reports

Conference Name

Journal ISSN

2045-2322
2045-2322

Volume Title

13

Publisher

Nature Portfolio
Sponsorship
Mason Medical Research Trust (Unknown)
BBSRC (BB/V000306/1)
NIHR Clinical Lecturer programme Biotechnology and Biological Sciences Research Council (grant number G105439) Mason Medical Research Foundation