Biology subjects

Keeley, A. J.

Publications and source records attributed to Keeley, A. J..

3 recordsLinked to original sources

bioRxiv2021

Comparative genomic analysis of skin and soft tissue Streptococcus pyogenes isolates from low- and high-income settings

Streptococcus pyogenes is a leading cause of human morbidity and mortality, especially in resource limited settings. The World Health Organisation has recently made a vaccine for S. pyogenes a global health priority to reduce the burden of the post-infection rheumatic heart disease. For a vaccine to be active against all relevant strains in each region, molecular characterisation of circulating S. pyogenes isolates is needed. We performed extensive comparative whole genome analyses of S. pyogenes isolates from skin and soft tissue infections in The Gambia, West Africa, where there is a high burden of such infections. To act as a comparator to this low-income country (LIC) collection of isolates, we performed genome sequencing of isolates from skin infections in Sheffield, UK, as representative high-income country (HIC) isolates. LIC isolates from The Gambia were genetically more diverse (46 emm-types in 107 isolates) compared to HIC isolates from Sheffield (23 emm-types in 142 isolates), with only 7 overlapping emm-types and with diverse genetic backgrounds. Characterisation of other molecular markers indicated some shared features, including a high prevalence of the skin infection-associated emm-pattern D and the variable fibronectin-collagen-T antigen (FCT) types FCT-3 and FCT-4. A previously unidentified FCT (FCT-10) was identified in the LIC isolates, belonging to two different emm-types. A high proportion (79/107; 73.8%) of LIC isolates carried genes for tetracycline resistance, compared to 53/142 (37.3%) HIC isolates. There was also evidence of different circulating prophages, as very few prophage-associated DNases and lower numbers of superantigens were detected in LIC isolates. Our study provides much needed insight into the genetics of circulating isolates in a LIC (The Gambia), and how they differ from those circulating in HICs (Sheffield, UK). Common molecular features may act as bacterial drivers for specific infection types, regardless of the diverse genetic background.

microbiology↗

bioRxiv2021

Altered Sub-Genomic RNA Expression in SARS-CoV-2 B.1.1.7 Infections

SARS-CoV-2 lineage B.1.1.7 viruses are more transmissible, may lead to greater clinical severity, and result in modest reductions in antibody neutralization. subgenomic RNA (sgRNA) is produced by discontinuous transcription of the SARS-CoV-2 genome and is a crucial step in the SARS-CoV-2 life cycle. Applying our tool (periscope) to ARTIC Network Oxford Nanopore genomic sequencing data from 4400 SARS-CoV-2 positive clinical samples, we show that normalised sgRNA expression profiles are significantly increased in B.1.1.7 infections (n=879). This increase is seen over the previous dominant circulating lineage in the UK, B.1.177 (n=943), which is independent of genomic reads, E gene cycle threshold and days since symptom onset at sampling. A noncanonical sgRNA which could represent ORF9b is found in 98.4% of B.1.1.7 SARS-CoV-2 infections compared with only 13.8% of other lineages, with a 16-fold increase in median expression. We hypothesise that this is a direct consequence of a triple nucleotide mutation in nucleocapsid (28280:GAT>CAT, D3L) creating a transcription regulatory-like sequence complementary to a region 3 of the genomic leader. These findings provide a unique insight into the biology of B.1.1.7 and support monitoring of sgRNA profiles in sequence data to evaluate emerging potential variants of concern. One Sentence SummaryThe recently emerged and more transmissible SARS-CoV-2 lineage B.1.1.7 shows greater subgenomic RNA expression in clinical infections and enhanced expression of a noncanonical subgenomic RNA near ORF9b.

genomics↗

bioRxiv2020

periscope: sub-genomic RNA identification in SARS-CoV-2 ARTIC Network Nanopore Sequencing Data

We have developed periscope, a tool for the detection and quantification of sub-genomic RNA (sgRNA) in SARS-CoV-2 genomic sequence data. The translation of the SARS-CoV-2 RNA genome for most open reading frames (ORFs) occurs via RNA intermediates termed "sub-genomic RNAs". sgRNAs are produced through discontinuous transcription which relies on homology between transcription regulatory sequences (TRS-B) upstream of the ORF start codons and that of the TRS-L which is located in the 5 UTR. TRS-L is immediately preceded by a leader sequence. This leader sequence is therefore found at the 5 end of all sgRNA. We applied periscope to 1,155 SARS-CoV-2 genomes from Sheffield, UK and validated our findings using orthogonal datasets and in vitro cell systems. Using a simple local alignment to detect reads which contain the leader sequence we were able to identify and quantify reads arising from canonical and non-canonical sgRNA. We were able to detect all canonical sgRNAs at expected abundances, with the exception of ORF10. A number of recurrent non-canonical sgRNAs are detected. We show that the results are reproducible using technical replicates and determine the optimum number of reads for sgRNA analysis. In VeroE6 ACE2+/- cell lines, periscope can detect the changes in the kinetics of sgRNA in orthogonal sequencing datasets. Finally, variants found in genomic RNA are transmitted to sgRNAs with high fidelity in most cases. This tool can be applied to all sequenced COVID-19 samples worldwide to provide comprehensive analysis of SARS-CoV-2 sgRNA.

bioinformatics↗