Run
Kingdom
Phylum
Number of AA sequences in the group (database 1) Average PID±SD, %
Number of subclustersa
Number of nucleotide sequences in the group (database 2)
1 Viruses Viruses 79 28±4 4 -
2 Archaea Euryarchaeota 151 42±15 3 63
3 Bacteria Chlamydiae 122 31±10 2 12
4 Bacteria Bacteroidetes 1358 58±4 2 22
5 Bacteria Proteobacteria 7973 51±9 2 336
6 Bacteria Cyanobacteria 682 53±6 3 8
7 Bacteria Actinobacteria 4309 52±7 3 73
8 Bacteria Firmicutes 3132 56±8 2 132
9 Protozoab Apicomplexa 47 42±14 3 16
10 Protozoa Euglenozoa 25 50±14 2 5
11 Plantae Streptophyta 717 44±17 4 431
12 Plantae Chlorophyta 26 41±8 3 8
13 Fungi Ascomycota 228 64±7 2 136
14 Fungi Basidiomycota 79 63±3 4 31
15 Metazoa Nematoda 50 72±19 3 4
16 Metazoa Arthropoda 162 50±10 3 255
17 Metazoa Platyhelminthes 9 66±5 5 -
18 Metazoa Chordata 61 84±6 3 384
19 Metazoa Mollusca 10 67±4 7 9
Total Total Total 19220 60 1925
a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy. a Clustering was carried out in each of 19 phyla using the UPGMA algorithm. b The designation “Protozoa” was used to identify Apicomplexa and Euglenozoa, since kingdom of these phyla is not determined in the NCBI Taxonomy.