3.9 Article

Whole Sequencing and Detailed Analysis of SARS-CoV-2 Genomes in Southeast Spain: Identification of Recurrent Mutations in the 20E (EU1) Variant with Some Clinical Implications

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DISEASES
卷 11, 期 2, 页码 -

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MDPI
DOI: 10.3390/diseases11020054

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SARS-CoV-2 variants; COVID-19; concern mutations; genomic sequences; clinical implications

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During the COVID-19 pandemic caused by SARS-CoV-2, conducting retrospective genomic surveillance research is useful due to the emergence of new waves and variants that may escape vaccinations. A detailed analysis of 88 SARS-CoV-2 genomes from COVID-19 patients in Spain revealed the presence of mutations in the spike protein and ORF1a, including those found in later lineages such as Omicron. Moreover, statistical analysis showed a significant correlation between age, severity criteria, and the accumulation of viral changes.
During the COVID-19 pandemic caused by SARS-CoV-2, new waves have been associated with new variants and have the potential to escape vaccinations. Therefore, it is useful to conduct retrospective genomic surveillance research. Herein, we present a detailed analysis of 88 SARS-CoV-2 genomes belonging to samples taken from COVID-19 patients from October 2020 to April 2021 at the Reina Sofia Hospital (Murcia, Spain) focused to variant appeared later. The results at the mentioned stage show the turning point since the 20E (EU1) variant was still prevalent (71.6%), but Alpha was bursting to 14.8%. Concern mutations have been found in 5 genomes classified as 20E (EU1), which were not characteristic of this still little evolved variant. Most of those mutations are found in the spike protein, namely & UDelta;69-70, E484K, Q675H and P681H. However, a relevant deletion in ORF1a at positions 3675-3677 was also identified. These mutations have been reported in many later SARS-CoV-2 lineages, including Omicron. Taken together, our data suggest that preferential emergence mutations could already be present in the early converging evolution. Aside from this, the molecular information has been contrasted with clinical data. Statistical analyses suggest that the correlation between age and severity criteria is significantly higher in the viral samples with more accumulated changes.

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