Table 1.
This table presents the distribution of the number of predicted genes for each dataset. Bat-CoV exhibit the widest distribution of gene count, and pangolin-CoV has the highest number of gene count, with one genome having 17 predicted genes. These outliers have low sequence or assembly quality. In the case of the pangolin-CoV genome reporting 17 genes, it has low-quality (“NNNN”) nucleotide regions spanning the centre of genes, which causes PROKKA to identify the two ends of one gene. The median gene count only varying in bat-CoVs, likely attributed to the large phylogenetic variation exhibited across the bat-CoVs.
| Dataset | Min. | Median | Mean | Max. | Sample Count |
|---|---|---|---|---|---|
| Wuhan | 7 | 11 | 11 | 13 | 46 |
| Charite | 9 | 11 | 11 | 12 | 117 |
| Bat | 2 | 9 | 9 | 12 | 215 |
| Pangolin | 10 | 11 | 12 | 17 | 7 |