Fig 1.
Graphical representation of the SARS-CoV-2 genome.
Highlighted are the S gene and the main mutations described in the variants of concern. As a measure of comparison, the length of the S gene is already equivalent to the one of the whole Dengue virus genome.
Fig 2.
Lethality [(Reported COVID-19 deaths)/(Reported COVID-19 cases)] per country.
We made use of the GISAID platform’s data to estimate COVID lethality and genome sharing per 105 inhabitants. We obtained the geospatial data for plotting the map in the open-source software library written for the Python programming language, Geopandas. The areas in grey are without reported data.
Fig 3.
Normalized distribution of the genome shared per 105 inhabitants per country.
The areas in grey are without reported data. We have normalized the data to compare countries of different population sizes. The geospatial data for plotting the map was obtained in the open-source software library written for the Python programming language, Geopandas (source: GISAID platform).
Table 1.
Genome shared and lethality per country.
Fig 4.
Agarose Gel Electrophoresis and schematic representation of the targeted fragments of each set of primers.
Amplification of S gene is visualized in agarose Gel Electrophoresis (A). Schematic representation of the targeted fragments of each set of primers is shown in (B). PR1 represents primer set 1, PR2 primer set 2, PR3 primer set 3, PR4 primer set 4, PR5 primer set 5, PR6 primer set 6, PR7 primer set 7 and PR8 primer set 8.
Table 2.
List of primers used for the S gene amplification of SARS-CoV-2.
Table 3.
RT-PCR cycle conditions.
Table 4.
Protein S mutations of each VOC and studied sequences.
Fig 5.
Sequence alignment showing amino acid substitutions E484K and D614G.