Within-Host Diversity of SARS-CoV-2 in COVID-19 Patients With Variable Disease Severities
Overview
Infectious Diseases
Microbiology
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The ongoing pandemic of SARS-COV-2 has already infected more than eight million people worldwide. The majority of COVID-19 patients either are asymptomatic or have mild symptoms. Yet, about 15% of the cases experience severe complications and require intensive care. Factors determining disease severity are not yet fully characterized. Here, we investigated the within-host virus diversity in COVID-19 patients with different clinical manifestations. We compared SARS-COV-2 genetic diversity in 19 mild and 27 severe cases. Viral RNA was extracted from nasopharyngeal samples and sequenced using the Illumina MiSeq platform. This was followed by deep-sequencing analyses of SARS-CoV-2 genomes at both consensus and sub-consensus sequence levels. Consensus sequences of all viruses were very similar, showing more than 99.8% sequence identity regardless of the disease severity. However, the sub-consensus analysis revealed significant differences in within-host diversity between mild and severe cases. Patients with severe symptoms exhibited a significantly (-value 0.001) higher number of variants in coding and non-coding regions compared to mild cases. Analysis also revealed higher prevalence of some variants among severe cases. Most importantly, severe cases exhibited significantly higher within-host diversity (mean = 13) compared to mild cases (mean = 6). Further, higher within-host diversity was observed in patients above the age of 60 compared to the younger age group. These observations provided evidence that within-host diversity might play a role in the development of severe disease outcomes in COVID-19 patients; however, further investigations are required to elucidate this association.
Aynaud M, Caldwell L, Al-Zahrani K, Barutcu S, Chan K, Obersterescu A Nat Commun. 2024; 15(1):10795.
PMID: 39738001 PMC: 11685962. DOI: 10.1038/s41467-024-55031-1.
Ruotolo L, Silenzi S, Mola B, Ortalli M, Lazzarotto T, Rossini G Virol J. 2024; 21(1):210.
PMID: 39227954 PMC: 11373299. DOI: 10.1186/s12985-024-02483-y.
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PMID: 38416684 PMC: 10927536. DOI: 10.1073/pnas.2317851121.
Willett J, Gravel A, Dubuc I, Gudimard L, Dos Santos Pereira Andrade A, Lacasse E Commun Biol. 2024; 7(1):191.
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