Dataset Information

Genome sequencing of SARS-CoV-2 in a cohort of Egyptian patients revealed mutation hotspots that are related to clinical outcomes.

ABSTRACT:

Background

Severe acute respiratory syndrome-2 (SARS-CoV-2) exhibits a broad spectrum of clinical manifestations. Despite the fact that SARS-CoV-2 has slower evolutionary rate than other coronaviruses, different mutational hotspots have been identified along the SARS-CoV-2 genome.

Methods

We performed whole-genome high throughput sequencing on isolates from 50 Egyptian patients to see if the variation in clinical symptoms was related to mutations in the SARS-CoV-2 genome. Then, we investigated the relationship between the observed mutations and the clinical characteristics of the patients.

Results

Among the 36 most common mutations, we found two frameshift deletions linked to an increased risk of shortness of breath, a V6 deletion in the spike glycoprotein's signal peptide region linked to an increased risk of fever, longer fever duration and nasal congestion, and L3606-nsp6 deletion linked to a higher prevalence of cough and conjunctival congestion. S5398L nsp13-helicase was linked to an increased risk of fever duration and progression. The most common mutations (241, 3037, 14,408, and 23,403) were not linked to clinical variability. However, the E3909G-nsp7 variant was more common in children (2-13 years old) and was associated with a shorter duration of symptoms. The duration of fever was significantly reduced with E1363D-nsp3 and E3073A-nsp4.

Conclusions

The most common mutations, D614G/spike-glycoprotein and P4715L/RNA-dependent-RNA-polymerase, were linked to transmissibility regardless of symptom variability. E3909G-nsp7 could explain why children recover so quickly. Nsp6-L3606fs, spike-glycoprotein-V6fs, and nsp13-S5398L variants may be linked to clinical symptom worsening. These variations related to host-virus interactions might open new therapeutic avenues for symptom relief and disease containment.

SUBMITTER: Zekri AN

PROVIDER: S-EPMC8079944 | biostudies-literature |

REPOSITORIES: biostudies-literature

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Project description:BackgroundNosocomially acquired severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection has become the most significant pandemic of our lifetime. Though its transmission was essentially attributed to droplets from an infected person, with recent advancements in knowledge, aerosol transmission seems to be a viable pathway, as well. Because of the lower biological load in ambient aerosol, detection of SARS-CoV-2 is challenging. A few recent attempts of sampling large aerosol volumes and using next-generation sequencing (NGS) to detect the presence of SARS-CoV-2 in the air at very low levels gave positive results. These results suggest the potential of using this technique to detect the presence of SARS-CoV-2 and use it as an early warning signal for possible outbreak or recurrence of coronavirus disease 2019 (COVID-19).AimTo assess efficacy of comprehensive respiratory viral panel (CRVP) sequencing and RT-PCR for low-level identification of SARS-CoV-2 and other respiratory viruses in indoor air.MethodsA large volume of indoor aerosol samples from three major hospitals involved in COVID-19 care in Kuwait was collected. Viral RNA was isolated and subjected to comprehensive respiratory viral panel sequencing (CRVP) as per the standard protocol to detect the SARS-CoV-2 and other respiratory viruses in the hospital aerosol and monitor variations within the sequences. RT-PCR was also employed to estimate the viral load of SARS-CoV-2.Findings13 of 15 (86.7%) samples exhibited SARS-CoV-2 with a relative abundance of 0.2-33.3%. The co-occurrence of human adenoviruses (type C1, C2, C5, C4), respiratory syncytial virus (RSV), influenza B, and non-SARS-CoV-229E were also recorded. Alignment of SARS-CoV-2 sequences against the reference strain of Wuhan China revealed variations in the form of single nucleotide polymorphisms (SNPs-17), insertions and deletions (indels-1). These variations were predicted to create missense (16), synonymous (15), frameshift (1) and stop-gained (1) mutations with a high (2), low (15), and moderate (16) impact.ConclusionsOur results suggest that using CRVP on a large volume aerosol sample was a valuable tool for detecting SARS-CoV-2 in indoor aerosols of health care settings. Owing to its higher sensitivity, it can be employed as a surveillance strategy in the post COVID times to act as an early warning system to possibly control future outbreaks.