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Alhatlani, B. Y.

Publications and source records attributed to Alhatlani, B. Y..

2 recordsLinked to original sources

Amplicon and metagenomic analysis of MERS-CoV and the microbiome in patients with severe Middle East respiratory syndrome (MERS)

Middle East Respiratory Syndrome coronavirus (MERS-CoV) is a zoonotic infection that emerged in the Middle East in 2012. Symptoms range from mild to severe and include both respiratory and gastrointestinal illnesses. The virus is mainly present in camel populations with occasional spill overs into humans. The severity of infection in humans is influenced by numerous factors and similar to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) underlying health complications can play a major role. Currently, MERS-CoV and SARS-CoV-2 are co-incident in the Middle East and a rapid way is required of sequencing MERS-CoV to derive genotype information for molecular epidemiology. Additionally, complicating factors in MERS-CoV infections are co-infections that require clinical management. The ability to rapidly characterise these infections would be advantageous. To rapidly sequence MERS-CoV, we developed an amplicon-based approach coupled to Oxford Nanopore long read length sequencing. The advantage of this approach is that insertions and deletions can be identified - which are the major drivers of genotype change in coronaviruses. This and a metagenomic approach were evaluated on clinical samples from patients with MERS. The data illustrated that whole genome or near whole genome information on MERS-CoV could be rapidly obtained. This approach provided data on both consensus genomes and the presence of minor variants including deletion mutants. Whereas, the metagenomic analysis provided information of the background microbiome.

molecular biology

In silico identification of conserved cis-acting RNA elements in the SARS-CoV-2 genome

AimThe aim of this study was to computationally predict conserved RNA sequences and structures known as cis-acting RNA elements (CREs) located within the SARS-CoV-2 genome. Materials & methodsBioinformatics tools were used to analyse and predict cis-acting regulatory elements by obtaining viral sequences from available databases. ResultsComputational analysis prediction revealed the presence of RNA stem-loop structures within the 3 end of the ORF1ab region that are analogous to the previously identified SARS-CoV genomic packaging signals. Alignment-based RNA secondary structures prediction of the 5 end of the SARS-CoV-2 genome identified also conserved CREs. ConclusionThese CREs could be used as potential targets for a vaccine and/or antiviral therapeutics developments; however, further studies would be required to confirm their roles in the SARS-CoV-2 life cycle.

microbiology