| Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
|---|---|---|---|---|---|
| ENSPANP00000006260 | zf-nanos | PF05741.13 | 6.9e-25 | 1 | 1 |
| Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
|---|---|---|---|---|---|---|---|
| ENSPANT00000020859 | NANOS3-201 | 594 | XM_003915023 | ENSPANP00000006260 | 197 (aa) | XP_003915072 | A0A0A0MVG0 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
|---|---|---|---|---|---|---|---|
| ENSPANG00000015037 | NANOS3 | 76 | 43.046 | ENSPANG00000009327 | NANOS2 | 96 | 44.444 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
|---|---|---|---|---|---|---|---|---|
| ENSPANG00000015037 | NANOS3 | 100 | 85.787 | ENSG00000187556 | NANOS3 | 100 | 85.787 | Homo_sapiens |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSG00000188425 | NANOS2 | 96 | 42.105 | Homo_sapiens |
| ENSPANG00000015037 | NANOS3 | 64 | 42.188 | ENSAPOG00000020274 | nanos2 | 77 | 42.188 | Acanthochromis_polyacanthus |
| ENSPANG00000015037 | NANOS3 | 56 | 50.000 | ENSAPOG00000009762 | nanos3 | 56 | 50.000 | Acanthochromis_polyacanthus |
| ENSPANG00000015037 | NANOS3 | 90 | 71.348 | ENSAMEG00000012972 | NANOS3 | 81 | 73.913 | Ailuropoda_melanoleuca |
| ENSPANG00000015037 | NANOS3 | 64 | 33.333 | ENSACIG00000007105 | nanos2 | 67 | 33.333 | Amphilophus_citrinellus |
| ENSPANG00000015037 | NANOS3 | 65 | 30.108 | ENSACIG00000019022 | - | 79 | 30.108 | Amphilophus_citrinellus |
| ENSPANG00000015037 | NANOS3 | 56 | 50.000 | ENSAOCG00000009870 | nanos3 | 59 | 50.000 | Amphiprion_ocellaris |
| ENSPANG00000015037 | NANOS3 | 65 | 35.659 | ENSAOCG00000009429 | nanos2 | 75 | 39.231 | Amphiprion_ocellaris |
| ENSPANG00000015037 | NANOS3 | 56 | 50.000 | ENSAPEG00000013733 | nanos3 | 59 | 50.000 | Amphiprion_percula |
| ENSPANG00000015037 | NANOS3 | 64 | 38.583 | ENSAPEG00000019139 | nanos2 | 76 | 38.583 | Amphiprion_percula |
| ENSPANG00000015037 | NANOS3 | 64 | 38.971 | ENSATEG00000009393 | nanos2 | 76 | 39.844 | Anabas_testudineus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.000 | ENSACAG00000022236 | - | 95 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.667 | ENSACAG00000025044 | - | 95 | 39.333 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.667 | ENSACAG00000025556 | - | 95 | 38.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 37.333 | ENSACAG00000024003 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 39.735 | ENSACAG00000025505 | - | 97 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSACAG00000022207 | - | 97 | 41.447 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000023823 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000024524 | - | 96 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000022675 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000026334 | - | 95 | 40.000 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024639 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023813 | - | 97 | 40.000 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000017474 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSACAG00000026819 | - | 95 | 41.447 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.000 | ENSACAG00000022321 | - | 97 | 41.060 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000026716 | - | 95 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023803 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024568 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000022861 | - | 97 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000027265 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024364 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000025093 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000027995 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSACAG00000022918 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSACAG00000027728 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000025729 | - | 95 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000027196 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000024370 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024995 | - | 95 | 40.000 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024274 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000005197 | - | 96 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 36.000 | ENSACAG00000022790 | - | 97 | 39.073 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000026317 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024972 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000027568 | - | 96 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.000 | ENSACAG00000014502 | - | 97 | 41.060 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000025260 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 41.333 | ENSACAG00000022088 | - | 95 | 41.333 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSACAG00000027983 | - | 95 | 40.000 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.000 | ENSACAG00000028048 | - | 97 | 41.060 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000026679 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000022041 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.789 | ENSACAG00000023519 | - | 95 | 40.789 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.000 | ENSACAG00000025632 | - | 97 | 41.060 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000026757 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023428 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000025655 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000010268 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000026350 | - | 96 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023855 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000026771 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000025452 | - | 96 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000024218 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 38.667 | ENSACAG00000022322 | - | 95 | 39.333 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000027440 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000026478 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023391 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSACAG00000027212 | - | 95 | 39.735 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.789 | ENSACAG00000024432 | - | 97 | 40.789 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000024434 | - | 95 | 40.667 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000026660 | - | 96 | 40.000 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000023650 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSACAG00000024504 | - | 97 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 76 | 40.000 | ENSACAG00000025307 | - | 95 | 40.397 | Anolis_carolinensis |
| ENSPANG00000015037 | NANOS3 | 95 | 75.532 | ENSANAG00000025042 | NANOS3 | 84 | 84.472 | Aotus_nancymaae |
| ENSPANG00000015037 | NANOS3 | 55 | 48.305 | ENSACLG00000020332 | nanos3 | 54 | 47.458 | Astatotilapia_calliptera |
| ENSPANG00000015037 | NANOS3 | 65 | 33.987 | ENSACLG00000013474 | - | 79 | 33.333 | Astatotilapia_calliptera |
| ENSPANG00000015037 | NANOS3 | 66 | 33.544 | ENSAMXG00000043091 | nanos1 | 82 | 34.000 | Astyanax_mexicanus |
| ENSPANG00000015037 | NANOS3 | 66 | 31.707 | ENSAMXG00000030027 | NANOS1 | 82 | 33.775 | Astyanax_mexicanus |
| ENSPANG00000015037 | NANOS3 | 82 | 76.398 | ENSBTAG00000000399 | NANOS3 | 82 | 76.398 | Bos_taurus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSBTAG00000047505 | NANOS2 | 96 | 43.137 | Bos_taurus |
| ENSPANG00000015037 | NANOS3 | 76 | 40.789 | ENSCJAG00000012141 | NANOS2 | 94 | 42.105 | Callithrix_jacchus |
| ENSPANG00000015037 | NANOS3 | 82 | 79.630 | ENSCJAG00000004388 | NANOS3 | 84 | 84.568 | Callithrix_jacchus |
| ENSPANG00000015037 | NANOS3 | 82 | 69.753 | ENSCAFG00000016592 | NANOS3 | 74 | 73.457 | Canis_familiaris |
| ENSPANG00000015037 | NANOS3 | 77 | 45.752 | ENSCAFG00000024541 | NANOS2 | 97 | 45.752 | Canis_familiaris |
| ENSPANG00000015037 | NANOS3 | 77 | 45.752 | ENSCAFG00020001772 | NANOS2 | 97 | 45.752 | Canis_lupus_dingo |
| ENSPANG00000015037 | NANOS3 | 82 | 69.753 | ENSCAFG00020006694 | NANOS3 | 74 | 73.457 | Canis_lupus_dingo |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSCHIG00000012637 | NANOS2 | 96 | 43.137 | Capra_hircus |
| ENSPANG00000015037 | NANOS3 | 82 | 75.309 | ENSCHIG00000007837 | NANOS3 | 81 | 75.309 | Capra_hircus |
| ENSPANG00000015037 | NANOS3 | 82 | 72.393 | ENSTSYG00000026709 | NANOS3 | 81 | 72.393 | Carlito_syrichta |
| ENSPANG00000015037 | NANOS3 | 84 | 71.687 | ENSCAPG00000014339 | NANOS3 | 90 | 73.913 | Cavia_aperea |
| ENSPANG00000015037 | NANOS3 | 75 | 42.857 | ENSCAPG00000016771 | NANOS2 | 94 | 42.857 | Cavia_aperea |
| ENSPANG00000015037 | NANOS3 | 84 | 75.301 | ENSCPOG00000020727 | NANOS3 | 81 | 75.155 | Cavia_porcellus |
| ENSPANG00000015037 | NANOS3 | 75 | 42.857 | ENSCPOG00000014969 | NANOS2 | 94 | 42.857 | Cavia_porcellus |
| ENSPANG00000015037 | NANOS3 | 93 | 74.457 | ENSCCAG00000036253 | NANOS3 | 82 | 82.716 | Cebus_capucinus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.046 | ENSCATG00000018951 | NANOS2 | 96 | 43.046 | Cercocebus_atys |
| ENSPANG00000015037 | NANOS3 | 100 | 95.500 | ENSCATG00000034885 | NANOS3 | 100 | 95.500 | Cercocebus_atys |
| ENSPANG00000015037 | NANOS3 | 75 | 43.624 | ENSCLAG00000001832 | NANOS2 | 95 | 43.624 | Chinchilla_lanigera |
| ENSPANG00000015037 | NANOS3 | 98 | 68.367 | ENSCLAG00000015139 | NANOS3 | 80 | 72.222 | Chinchilla_lanigera |
| ENSPANG00000015037 | NANOS3 | 82 | 94.643 | ENSCSAG00000006428 | NANOS3 | 85 | 95.238 | Chlorocebus_sabaeus |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSCSAG00000019629 | NANOS2 | 96 | 42.105 | Chlorocebus_sabaeus |
| ENSPANG00000015037 | NANOS3 | 77 | 41.722 | ENSCHOG00000001937 | NANOS2 | 97 | 43.046 | Choloepus_hoffmanni |
| ENSPANG00000015037 | NANOS3 | 74 | 40.000 | ENSCPBG00000007141 | NANOS2 | 84 | 40.000 | Chrysemys_picta_bellii |
| ENSPANG00000015037 | NANOS3 | 75 | 46.939 | ENSCPBG00000023819 | NANOS3 | 92 | 46.939 | Chrysemys_picta_bellii |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSCANG00000012014 | NANOS2 | 96 | 42.581 | Colobus_angolensis_palliatus |
| ENSPANG00000015037 | NANOS3 | 82 | 96.296 | ENSCANG00000034930 | NANOS3 | 85 | 96.296 | Colobus_angolensis_palliatus |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSCGRG00001013726 | Nanos2 | 96 | 39.333 | Cricetulus_griseus_chok1gshd |
| ENSPANG00000015037 | NANOS3 | 96 | 67.368 | ENSCGRG00001023851 | Nanos3 | 81 | 72.050 | Cricetulus_griseus_chok1gshd |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSCGRG00000019170 | Nanos2 | 96 | 39.333 | Cricetulus_griseus_crigri |
| ENSPANG00000015037 | NANOS3 | 96 | 67.368 | ENSCGRG00000017734 | Nanos3 | 79 | 72.050 | Cricetulus_griseus_crigri |
| ENSPANG00000015037 | NANOS3 | 65 | 40.625 | ENSCSEG00000017157 | nanos2 | 78 | 41.085 | Cynoglossus_semilaevis |
| ENSPANG00000015037 | NANOS3 | 66 | 30.319 | ENSCSEG00000004547 | - | 79 | 30.108 | Cynoglossus_semilaevis |
| ENSPANG00000015037 | NANOS3 | 64 | 37.795 | ENSCVAG00000006947 | nanos2 | 77 | 38.583 | Cyprinodon_variegatus |
| ENSPANG00000015037 | NANOS3 | 65 | 30.968 | ENSCVAG00000019077 | - | 77 | 31.210 | Cyprinodon_variegatus |
| ENSPANG00000015037 | NANOS3 | 65 | 39.844 | ENSDARG00000116802 | nanos2 | 83 | 39.844 | Danio_rerio |
| ENSPANG00000015037 | NANOS3 | 71 | 44.681 | ENSDARG00000068255 | nanos3 | 86 | 44.681 | Danio_rerio |
| ENSPANG00000015037 | NANOS3 | 77 | 41.176 | ENSDNOG00000044718 | NANOS2 | 97 | 41.176 | Dasypus_novemcinctus |
| ENSPANG00000015037 | NANOS3 | 65 | 34.899 | ENSDORG00000029226 | Nanos1 | 77 | 36.242 | Dipodomys_ordii |
| ENSPANG00000015037 | NANOS3 | 82 | 74.074 | ENSEASG00005015313 | NANOS3 | 85 | 74.074 | Equus_asinus_asinus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.763 | ENSEASG00005014235 | NANOS2 | 96 | 44.079 | Equus_asinus_asinus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.763 | ENSECAG00000006033 | NANOS2 | 96 | 44.079 | Equus_caballus |
| ENSPANG00000015037 | NANOS3 | 84 | 74.096 | ENSECAG00000016293 | NANOS3 | 81 | 74.074 | Equus_caballus |
| ENSPANG00000015037 | NANOS3 | 86 | 70.930 | ENSEEUG00000009900 | NANOS3 | 94 | 71.166 | Erinaceus_europaeus |
| ENSPANG00000015037 | NANOS3 | 77 | 43.791 | ENSEEUG00000009930 | NANOS2 | 97 | 43.791 | Erinaceus_europaeus |
| ENSPANG00000015037 | NANOS3 | 70 | 42.466 | ENSELUG00000016082 | nanos3 | 87 | 42.759 | Esox_lucius |
| ENSPANG00000015037 | NANOS3 | 69 | 41.667 | ENSELUG00000016582 | - | 81 | 41.667 | Esox_lucius |
| ENSPANG00000015037 | NANOS3 | 64 | 38.281 | ENSELUG00000019091 | - | 76 | 38.281 | Esox_lucius |
| ENSPANG00000015037 | NANOS3 | 80 | 61.392 | ENSFCAG00000003717 | NANOS3 | 79 | 64.286 | Felis_catus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.421 | ENSFCAG00000027661 | NANOS2 | 96 | 45.395 | Felis_catus |
| ENSPANG00000015037 | NANOS3 | 75 | 42.568 | ENSFDAG00000016342 | NANOS2 | 95 | 42.568 | Fukomys_damarensis |
| ENSPANG00000015037 | NANOS3 | 83 | 71.951 | ENSFDAG00000018459 | NANOS3 | 80 | 71.605 | Fukomys_damarensis |
| ENSPANG00000015037 | NANOS3 | 70 | 37.838 | ENSFHEG00000017084 | - | 83 | 41.060 | Fundulus_heteroclitus |
| ENSPANG00000015037 | NANOS3 | 70 | 35.099 | ENSFHEG00000012835 | NANOS2 | 85 | 37.795 | Fundulus_heteroclitus |
| ENSPANG00000015037 | NANOS3 | 65 | 35.659 | ENSGMOG00000015980 | - | 96 | 35.659 | Gadus_morhua |
| ENSPANG00000015037 | NANOS3 | 64 | 38.095 | ENSGAFG00000006000 | - | 66 | 37.302 | Gambusia_affinis |
| ENSPANG00000015037 | NANOS3 | 65 | 32.877 | ENSGAFG00000017593 | NANOS1 | 80 | 32.877 | Gambusia_affinis |
| ENSPANG00000015037 | NANOS3 | 73 | 39.735 | ENSGACG00000019003 | nanos3 | 89 | 39.735 | Gasterosteus_aculeatus |
| ENSPANG00000015037 | NANOS3 | 66 | 38.168 | ENSGACG00000004930 | - | 97 | 38.168 | Gasterosteus_aculeatus |
| ENSPANG00000015037 | NANOS3 | 83 | 37.349 | ENSGAGG00000009500 | NANOS2 | 76 | 39.041 | Gopherus_agassizii |
| ENSPANG00000015037 | NANOS3 | 78 | 46.452 | ENSGAGG00000005591 | - | 77 | 46.452 | Gopherus_agassizii |
| ENSPANG00000015037 | NANOS3 | 76 | 42.384 | ENSGGOG00000013447 | NANOS2 | 96 | 42.000 | Gorilla_gorilla |
| ENSPANG00000015037 | NANOS3 | 82 | 92.857 | ENSGGOG00000000964 | NANOS3 | 85 | 92.857 | Gorilla_gorilla |
| ENSPANG00000015037 | NANOS3 | 64 | 32.308 | ENSHBUG00000016772 | nanos2 | 78 | 35.821 | Haplochromis_burtoni |
| ENSPANG00000015037 | NANOS3 | 65 | 33.333 | ENSHBUG00000019798 | - | 79 | 32.680 | Haplochromis_burtoni |
| ENSPANG00000015037 | NANOS3 | 55 | 48.305 | ENSHBUG00000018730 | nanos3 | 54 | 47.458 | Haplochromis_burtoni |
| ENSPANG00000015037 | NANOS3 | 84 | 74.096 | ENSHGLG00000019378 | NANOS3 | 78 | 74.691 | Heterocephalus_glaber_female |
| ENSPANG00000015037 | NANOS3 | 84 | 74.096 | ENSHGLG00100012652 | NANOS3 | 78 | 74.691 | Heterocephalus_glaber_male |
| ENSPANG00000015037 | NANOS3 | 71 | 39.286 | ENSHCOG00000014790 | nanos3 | 80 | 39.286 | Hippocampus_comes |
| ENSPANG00000015037 | NANOS3 | 66 | 31.056 | ENSHCOG00000011423 | - | 80 | 31.056 | Hippocampus_comes |
| ENSPANG00000015037 | NANOS3 | 66 | 33.962 | ENSHCOG00000010326 | NANOS1 | 80 | 33.540 | Hippocampus_comes |
| ENSPANG00000015037 | NANOS3 | 74 | 41.781 | ENSIPUG00000007200 | - | 86 | 41.781 | Ictalurus_punctatus |
| ENSPANG00000015037 | NANOS3 | 70 | 41.429 | ENSIPUG00000012246 | - | 70 | 41.429 | Ictalurus_punctatus |
| ENSPANG00000015037 | NANOS3 | 72 | 40.690 | ENSIPUG00000024113 | nanos2 | 86 | 40.690 | Ictalurus_punctatus |
| ENSPANG00000015037 | NANOS3 | 72 | 39.181 | ENSIPUG00000008857 | nanos3 | 88 | 39.766 | Ictalurus_punctatus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.667 | ENSSTOG00000021724 | NANOS2 | 96 | 42.667 | Ictidomys_tridecemlineatus |
| ENSPANG00000015037 | NANOS3 | 82 | 76.398 | ENSSTOG00000024797 | NANOS3 | 79 | 76.398 | Ictidomys_tridecemlineatus |
| ENSPANG00000015037 | NANOS3 | 84 | 65.089 | ENSJJAG00000000545 | Nanos3 | 79 | 68.944 | Jaculus_jaculus |
| ENSPANG00000015037 | NANOS3 | 64 | 40.625 | ENSLBEG00000018836 | nanos2 | 81 | 40.625 | Labrus_bergylta |
| ENSPANG00000015037 | NANOS3 | 75 | 42.857 | ENSLACG00000013286 | NANOS3 | 92 | 42.857 | Latimeria_chalumnae |
| ENSPANG00000015037 | NANOS3 | 73 | 38.125 | ENSLACG00000014980 | - | 89 | 38.125 | Latimeria_chalumnae |
| ENSPANG00000015037 | NANOS3 | 76 | 31.088 | ENSLACG00000015195 | NANOS1 | 91 | 31.088 | Latimeria_chalumnae |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSLAFG00000014090 | NANOS2 | 96 | 42.105 | Loxodonta_africana |
| ENSPANG00000015037 | NANOS3 | 93 | 71.739 | ENSLAFG00000008480 | NANOS3 | 79 | 75.155 | Loxodonta_africana |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSMFAG00000017215 | NANOS2 | 96 | 42.105 | Macaca_fascicularis |
| ENSPANG00000015037 | NANOS3 | 100 | 97.462 | ENSMFAG00000040009 | NANOS3 | 100 | 97.462 | Macaca_fascicularis |
| ENSPANG00000015037 | NANOS3 | 100 | 96.465 | ENSMMUG00000008316 | NANOS3 | 100 | 96.465 | Macaca_mulatta |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSMMUG00000008103 | NANOS2 | 96 | 42.105 | Macaca_mulatta |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSMNEG00000004633 | NANOS2 | 96 | 42.105 | Macaca_nemestrina |
| ENSPANG00000015037 | NANOS3 | 100 | 96.954 | ENSMNEG00000028898 | NANOS3 | 100 | 96.954 | Macaca_nemestrina |
| ENSPANG00000015037 | NANOS3 | 100 | 96.482 | ENSMLEG00000033135 | NANOS3 | 100 | 96.482 | Mandrillus_leucophaeus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.046 | ENSMLEG00000001810 | NANOS2 | 96 | 43.046 | Mandrillus_leucophaeus |
| ENSPANG00000015037 | NANOS3 | 65 | 32.692 | ENSMAMG00000015477 | - | 81 | 32.051 | Mastacembelus_armatus |
| ENSPANG00000015037 | NANOS3 | 66 | 36.923 | ENSMAMG00000005577 | NANOS2 | 78 | 36.923 | Mastacembelus_armatus |
| ENSPANG00000015037 | NANOS3 | 64 | 30.769 | ENSMZEG00005028154 | - | 78 | 34.328 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 65 | 33.333 | ENSMZEG00005002722 | - | 79 | 32.680 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 64 | 30.000 | ENSMZEG00005028148 | - | 78 | 33.582 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 64 | 30.000 | ENSMZEG00005024641 | - | 78 | 33.582 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 64 | 30.769 | ENSMZEG00005003043 | - | 78 | 34.328 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 64 | 35.507 | ENSMZEG00005021987 | - | 78 | 35.606 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 55 | 48.305 | ENSMZEG00005007690 | nanos3 | 54 | 47.458 | Maylandia_zebra |
| ENSPANG00000015037 | NANOS3 | 96 | 66.316 | ENSMAUG00000008396 | Nanos3 | 79 | 70.807 | Mesocricetus_auratus |
| ENSPANG00000015037 | NANOS3 | 84 | 77.711 | ENSMICG00000030950 | NANOS3 | 82 | 77.160 | Microcebus_murinus |
| ENSPANG00000015037 | NANOS3 | 76 | 39.333 | ENSMOCG00000001985 | Nanos2 | 96 | 39.333 | Microtus_ochrogaster |
| ENSPANG00000015037 | NANOS3 | 88 | 69.942 | ENSMOCG00000000059 | Nanos3 | 80 | 72.671 | Microtus_ochrogaster |
| ENSPANG00000015037 | NANOS3 | 69 | 36.496 | ENSMMOG00000009827 | nanos2 | 80 | 36.496 | Mola_mola |
| ENSPANG00000015037 | NANOS3 | 65 | 33.548 | ENSMMOG00000003796 | - | 79 | 33.548 | Mola_mola |
| ENSPANG00000015037 | NANOS3 | 76 | 51.333 | ENSMODG00000023964 | - | 96 | 51.333 | Monodelphis_domestica |
| ENSPANG00000015037 | NANOS3 | 65 | 30.108 | ENSMALG00000015460 | - | 79 | 30.108 | Monopterus_albus |
| ENSPANG00000015037 | NANOS3 | 71 | 38.298 | ENSMALG00000011545 | - | 66 | 38.298 | Monopterus_albus |
| ENSPANG00000015037 | NANOS3 | 72 | 42.384 | ENSMALG00000005945 | nanos3 | 84 | 42.667 | Monopterus_albus |
| ENSPANG00000015037 | NANOS3 | 66 | 34.615 | ENSMALG00000006299 | nanos2 | 71 | 34.615 | Monopterus_albus |
| ENSPANG00000015037 | NANOS3 | 98 | 65.990 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 79 | 71.429 | Mus_caroli |
| ENSPANG00000015037 | NANOS3 | 76 | 41.333 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 96 | 41.333 | Mus_caroli |
| ENSPANG00000015037 | NANOS3 | 76 | 41.722 | ENSMUSG00000051965 | Nanos2 | 96 | 41.722 | Mus_musculus |
| ENSPANG00000015037 | NANOS3 | 98 | 66.154 | ENSMUSG00000056155 | Nanos3 | 81 | 71.429 | Mus_musculus |
| ENSPANG00000015037 | NANOS3 | 76 | 41.060 | MGP_PahariEiJ_G0021123 | Nanos2 | 96 | 41.060 | Mus_pahari |
| ENSPANG00000015037 | NANOS3 | 100 | 64.975 | MGP_PahariEiJ_G0022902 | Nanos3 | 79 | 71.429 | Mus_pahari |
| ENSPANG00000015037 | NANOS3 | 76 | 41.722 | MGP_SPRETEiJ_G0030347 | Nanos2 | 96 | 41.722 | Mus_spretus |
| ENSPANG00000015037 | NANOS3 | 98 | 66.154 | MGP_SPRETEiJ_G0032414 | Nanos3 | 79 | 71.429 | Mus_spretus |
| ENSPANG00000015037 | NANOS3 | 82 | 75.776 | ENSMPUG00000003282 | NANOS3 | 80 | 75.776 | Mustela_putorius_furo |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSMPUG00000019371 | NANOS2 | 96 | 45.395 | Mustela_putorius_furo |
| ENSPANG00000015037 | NANOS3 | 84 | 75.904 | ENSMLUG00000012971 | NANOS3 | 82 | 75.926 | Myotis_lucifugus |
| ENSPANG00000015037 | NANOS3 | 92 | 68.085 | ENSNGAG00000020486 | Nanos3 | 79 | 72.222 | Nannospalax_galili |
| ENSPANG00000015037 | NANOS3 | 65 | 36.301 | ENSNGAG00000023539 | Nanos1 | 72 | 36.301 | Nannospalax_galili |
| ENSPANG00000015037 | NANOS3 | 65 | 33.333 | ENSNBRG00000014018 | - | 79 | 32.680 | Neolamprologus_brichardi |
| ENSPANG00000015037 | NANOS3 | 100 | 86.294 | ENSNLEG00000034574 | NANOS3 | 100 | 86.294 | Nomascus_leucogenys |
| ENSPANG00000015037 | NANOS3 | 76 | 43.333 | ENSOPRG00000010043 | NANOS2 | 96 | 45.455 | Ochotona_princeps |
| ENSPANG00000015037 | NANOS3 | 82 | 69.753 | ENSOPRG00000007211 | - | 81 | 68.023 | Ochotona_princeps |
| ENSPANG00000015037 | NANOS3 | 84 | 72.024 | ENSODEG00000008907 | NANOS3 | 78 | 71.951 | Octodon_degus |
| ENSPANG00000015037 | NANOS3 | 55 | 46.610 | ENSONIG00000020588 | nanos3 | 54 | 45.763 | Oreochromis_niloticus |
| ENSPANG00000015037 | NANOS3 | 71 | 32.168 | ENSONIG00000005777 | nanos2 | 86 | 35.374 | Oreochromis_niloticus |
| ENSPANG00000015037 | NANOS3 | 76 | 51.678 | ENSOANG00000013042 | - | 96 | 51.678 | Ornithorhynchus_anatinus |
| ENSPANG00000015037 | NANOS3 | 76 | 41.333 | ENSOCUG00000023755 | NANOS2 | 96 | 41.333 | Oryctolagus_cuniculus |
| ENSPANG00000015037 | NANOS3 | 88 | 65.922 | ENSOCUG00000014802 | NANOS3 | 83 | 71.429 | Oryctolagus_cuniculus |
| ENSPANG00000015037 | NANOS3 | 64 | 37.302 | ENSORLG00000009335 | nanos2 | 76 | 37.302 | Oryzias_latipes |
| ENSPANG00000015037 | NANOS3 | 72 | 36.813 | ENSORLG00000012018 | nanos3 | 91 | 36.813 | Oryzias_latipes |
| ENSPANG00000015037 | NANOS3 | 65 | 36.601 | ENSORLG00000027849 | nanos1a | 83 | 36.601 | Oryzias_latipes |
| ENSPANG00000015037 | NANOS3 | 72 | 36.813 | ENSORLG00020004967 | nanos3 | 91 | 36.813 | Oryzias_latipes_hni |
| ENSPANG00000015037 | NANOS3 | 65 | 33.951 | ENSORLG00020008713 | - | 83 | 36.601 | Oryzias_latipes_hni |
| ENSPANG00000015037 | NANOS3 | 64 | 39.683 | ENSORLG00020013284 | nanos2 | 76 | 39.683 | Oryzias_latipes_hni |
| ENSPANG00000015037 | NANOS3 | 72 | 37.079 | ENSORLG00015003631 | nanos3 | 90 | 37.079 | Oryzias_latipes_hsok |
| ENSPANG00000015037 | NANOS3 | 65 | 34.839 | ENSORLG00015000175 | - | 83 | 36.601 | Oryzias_latipes_hsok |
| ENSPANG00000015037 | NANOS3 | 64 | 40.476 | ENSORLG00015013150 | nanos2 | 76 | 40.476 | Oryzias_latipes_hsok |
| ENSPANG00000015037 | NANOS3 | 65 | 35.443 | ENSOMEG00000008866 | NANOS1 | 84 | 36.943 | Oryzias_melastigma |
| ENSPANG00000015037 | NANOS3 | 72 | 35.417 | ENSOMEG00000000922 | nanos3 | 91 | 34.595 | Oryzias_melastigma |
| ENSPANG00000015037 | NANOS3 | 65 | 37.984 | ENSOMEG00000006512 | nanos2 | 79 | 39.535 | Oryzias_melastigma |
| ENSPANG00000015037 | NANOS3 | 100 | 73.232 | ENSOGAG00000007190 | NANOS3 | 81 | 75.926 | Otolemur_garnettii |
| ENSPANG00000015037 | NANOS3 | 76 | 42.763 | ENSOGAG00000032290 | NANOS2 | 96 | 43.333 | Otolemur_garnettii |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSOARG00000011467 | NANOS2 | 96 | 43.137 | Ovis_aries |
| ENSPANG00000015037 | NANOS3 | 82 | 75.309 | ENSOARG00000008043 | NANOS3 | 79 | 75.309 | Ovis_aries |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSPPAG00000020568 | NANOS2 | 96 | 42.105 | Pan_paniscus |
| ENSPANG00000015037 | NANOS3 | 100 | 85.787 | ENSPPAG00000032168 | NANOS3 | 100 | 85.787 | Pan_paniscus |
| ENSPANG00000015037 | NANOS3 | 84 | 69.880 | ENSPPRG00000009573 | NANOS3 | 82 | 72.840 | Panthera_pardus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.421 | ENSPPRG00000015211 | NANOS2 | 96 | 45.395 | Panthera_pardus |
| ENSPANG00000015037 | NANOS3 | 69 | 42.754 | ENSPTIG00000015372 | NANOS2 | 86 | 44.928 | Panthera_tigris_altaica |
| ENSPANG00000015037 | NANOS3 | 84 | 69.880 | ENSPTIG00000000325 | NANOS3 | 82 | 72.840 | Panthera_tigris_altaica |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSPTRG00000011172 | NANOS2 | 96 | 42.105 | Pan_troglodytes |
| ENSPANG00000015037 | NANOS3 | 82 | 95.062 | ENSPTRG00000010568 | NANOS3 | 84 | 95.062 | Pan_troglodytes |
| ENSPANG00000015037 | NANOS3 | 73 | 44.295 | ENSPKIG00000006905 | - | 62 | 44.000 | Paramormyrops_kingsleyae |
| ENSPANG00000015037 | NANOS3 | 72 | 41.447 | ENSPKIG00000009354 | nanos3 | 77 | 41.447 | Paramormyrops_kingsleyae |
| ENSPANG00000015037 | NANOS3 | 65 | 35.156 | ENSPKIG00000006934 | - | 83 | 37.500 | Paramormyrops_kingsleyae |
| ENSPANG00000015037 | NANOS3 | 74 | 43.151 | ENSPSIG00000007082 | NANOS2 | 92 | 43.151 | Pelodiscus_sinensis |
| ENSPANG00000015037 | NANOS3 | 64 | 40.000 | ENSPMGG00000023681 | nanos2 | 70 | 40.000 | Periophthalmus_magnuspinnatus |
| ENSPANG00000015037 | NANOS3 | 72 | 33.511 | ENSPMGG00000016412 | nanos3 | 90 | 33.511 | Periophthalmus_magnuspinnatus |
| ENSPANG00000015037 | NANOS3 | 76 | 40.667 | ENSPEMG00000014999 | Nanos2 | 96 | 40.667 | Peromyscus_maniculatus_bairdii |
| ENSPANG00000015037 | NANOS3 | 64 | 35.115 | ENSPFOG00000020721 | NANOS2 | 82 | 35.115 | Poecilia_formosa |
| ENSPANG00000015037 | NANOS3 | 65 | 37.500 | ENSPLAG00000007786 | NANOS2 | 83 | 37.500 | Poecilia_latipinna |
| ENSPANG00000015037 | NANOS3 | 69 | 35.556 | ENSPMEG00000005681 | NANOS2 | 82 | 36.923 | Poecilia_mexicana |
| ENSPANG00000015037 | NANOS3 | 65 | 34.884 | ENSPREG00000020465 | nanos2 | 83 | 34.884 | Poecilia_reticulata |
| ENSPANG00000015037 | NANOS3 | 82 | 92.262 | ENSPPYG00000009627 | NANOS3 | 84 | 92.262 | Pongo_abelii |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSPPYG00000010138 | NANOS2 | 96 | 42.105 | Pongo_abelii |
| ENSPANG00000015037 | NANOS3 | 76 | 43.421 | ENSPCAG00000005087 | NANOS2 | 96 | 43.421 | Procavia_capensis |
| ENSPANG00000015037 | NANOS3 | 84 | 76.506 | ENSPCOG00000018814 | NANOS3 | 82 | 76.543 | Propithecus_coquereli |
| ENSPANG00000015037 | NANOS3 | 84 | 75.301 | ENSPVAG00000017538 | NANOS3 | 82 | 77.019 | Pteropus_vampyrus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.333 | ENSPVAG00000001363 | NANOS2 | 96 | 43.333 | Pteropus_vampyrus |
| ENSPANG00000015037 | NANOS3 | 55 | 47.458 | ENSPNYG00000001788 | nanos3 | 54 | 46.610 | Pundamilia_nyererei |
| ENSPANG00000015037 | NANOS3 | 65 | 33.333 | ENSPNYG00000001325 | - | 79 | 32.680 | Pundamilia_nyererei |
| ENSPANG00000015037 | NANOS3 | 64 | 33.071 | ENSPNYG00000004545 | NANOS2 | 77 | 33.071 | Pundamilia_nyererei |
| ENSPANG00000015037 | NANOS3 | 76 | 40.268 | ENSPNAG00000002259 | nanos3 | 79 | 40.268 | Pygocentrus_nattereri |
| ENSPANG00000015037 | NANOS3 | 64 | 32.468 | ENSPNAG00000017440 | nanos2 | 71 | 32.468 | Pygocentrus_nattereri |
| ENSPANG00000015037 | NANOS3 | 76 | 42.384 | ENSRNOG00000038088 | Nanos2 | 96 | 42.384 | Rattus_norvegicus |
| ENSPANG00000015037 | NANOS3 | 98 | 66.667 | ENSRNOG00000031593 | Nanos3 | 79 | 72.050 | Rattus_norvegicus |
| ENSPANG00000015037 | NANOS3 | 100 | 93.909 | ENSRBIG00000037377 | NANOS3 | 100 | 93.909 | Rhinopithecus_bieti |
| ENSPANG00000015037 | NANOS3 | 76 | 41.447 | ENSRBIG00000023726 | NANOS2 | 96 | 42.581 | Rhinopithecus_bieti |
| ENSPANG00000015037 | NANOS3 | 100 | 93.939 | ENSRROG00000032642 | NANOS3 | 100 | 93.939 | Rhinopithecus_roxellana |
| ENSPANG00000015037 | NANOS3 | 76 | 42.763 | ENSRROG00000014903 | NANOS2 | 96 | 42.763 | Rhinopithecus_roxellana |
| ENSPANG00000015037 | NANOS3 | 82 | 77.160 | ENSSBOG00000020970 | NANOS3 | 83 | 80.864 | Saimiri_boliviensis_boliviensis |
| ENSPANG00000015037 | NANOS3 | 76 | 52.667 | ENSSHAG00000010756 | - | 96 | 52.667 | Sarcophilus_harrisii |
| ENSPANG00000015037 | NANOS3 | 76 | 43.709 | ENSSHAG00000017034 | NANOS2 | 96 | 43.709 | Sarcophilus_harrisii |
| ENSPANG00000015037 | NANOS3 | 76 | 50.327 | ENSSHAG00000012099 | - | 96 | 50.980 | Sarcophilus_harrisii |
| ENSPANG00000015037 | NANOS3 | 72 | 44.521 | ENSSFOG00015013452 | nanos3 | 95 | 44.521 | Scleropages_formosus |
| ENSPANG00000015037 | NANOS3 | 64 | 33.846 | ENSSMAG00000013915 | nanos2 | 78 | 38.686 | Scophthalmus_maximus |
| ENSPANG00000015037 | NANOS3 | 64 | 38.760 | ENSSDUG00000016576 | nanos2 | 78 | 39.535 | Seriola_dumerili |
| ENSPANG00000015037 | NANOS3 | 65 | 32.692 | ENSSDUG00000007879 | - | 82 | 32.051 | Seriola_dumerili |
| ENSPANG00000015037 | NANOS3 | 64 | 39.535 | ENSSLDG00000013795 | nanos2 | 78 | 40.310 | Seriola_lalandi_dorsalis |
| ENSPANG00000015037 | NANOS3 | 65 | 32.692 | ENSSLDG00000021260 | - | 83 | 32.051 | Seriola_lalandi_dorsalis |
| ENSPANG00000015037 | NANOS3 | 100 | 67.500 | ENSSARG00000008966 | NANOS3 | 80 | 71.429 | Sorex_araneus |
| ENSPANG00000015037 | NANOS3 | 76 | 37.500 | ENSSPUG00000002566 | NANOS2 | 92 | 38.462 | Sphenodon_punctatus |
| ENSPANG00000015037 | NANOS3 | 96 | 43.915 | ENSSPUG00000009826 | NANOS3 | 68 | 47.682 | Sphenodon_punctatus |
| ENSPANG00000015037 | NANOS3 | 64 | 38.760 | ENSSPAG00000003887 | nanos2 | 81 | 40.602 | Stegastes_partitus |
| ENSPANG00000015037 | NANOS3 | 76 | 44.079 | ENSSSCG00000003096 | NANOS2 | 96 | 44.079 | Sus_scrofa |
| ENSPANG00000015037 | NANOS3 | 82 | 76.398 | ENSSSCG00000013759 | NANOS3 | 82 | 75.926 | Sus_scrofa |
| ENSPANG00000015037 | NANOS3 | 65 | 34.109 | ENSTRUG00000017633 | nanos2 | 82 | 37.984 | Takifugu_rubripes |
| ENSPANG00000015037 | NANOS3 | 69 | 45.775 | ENSTNIG00000014063 | nanos3 | 91 | 45.775 | Tetraodon_nigroviridis |
| ENSPANG00000015037 | NANOS3 | 65 | 36.029 | ENSTNIG00000010543 | - | 87 | 36.029 | Tetraodon_nigroviridis |
| ENSPANG00000015037 | NANOS3 | 87 | 75.581 | ENSTBEG00000013729 | NANOS3 | 93 | 76.398 | Tupaia_belangeri |
| ENSPANG00000015037 | NANOS3 | 98 | 67.010 | ENSTTRG00000008361 | NANOS3 | 85 | 74.691 | Tursiops_truncatus |
| ENSPANG00000015037 | NANOS3 | 76 | 42.105 | ENSTTRG00000014315 | NANOS2 | 96 | 43.137 | Tursiops_truncatus |
| ENSPANG00000015037 | NANOS3 | 76 | 43.421 | ENSUAMG00000023170 | NANOS2 | 96 | 43.421 | Ursus_americanus |
| ENSPANG00000015037 | NANOS3 | 82 | 71.429 | ENSUAMG00000006804 | NANOS3 | 82 | 74.074 | Ursus_americanus |
| ENSPANG00000015037 | NANOS3 | 80 | 37.500 | ENSUMAG00000023699 | NANOS2 | 90 | 37.500 | Ursus_maritimus |
| ENSPANG00000015037 | NANOS3 | 82 | 71.429 | ENSUMAG00000004703 | NANOS3 | 79 | 74.074 | Ursus_maritimus |
| ENSPANG00000015037 | NANOS3 | 99 | 73.333 | ENSVPAG00000011497 | NANOS3 | 84 | 77.160 | Vicugna_pacos |
| ENSPANG00000015037 | NANOS3 | 77 | 43.791 | ENSVVUG00000002993 | NANOS2 | 97 | 43.791 | Vulpes_vulpes |
| ENSPANG00000015037 | NANOS3 | 82 | 70.370 | ENSVVUG00000026757 | NANOS3 | 83 | 74.074 | Vulpes_vulpes |
| ENSPANG00000015037 | NANOS3 | 64 | 38.281 | ENSXETG00000024565 | nanos1 | 84 | 38.281 | Xenopus_tropicalis |
| ENSPANG00000015037 | NANOS3 | 75 | 37.013 | ENSXETG00000014552 | NANOS2 | 96 | 38.255 | Xenopus_tropicalis |
| ENSPANG00000015037 | NANOS3 | 79 | 45.732 | ENSXETG00000021874 | nanos3 | 100 | 45.732 | Xenopus_tropicalis |
| ENSPANG00000015037 | NANOS3 | 72 | 36.508 | ENSXCOG00000014426 | nanos3 | 90 | 38.624 | Xiphophorus_couchianus |
| ENSPANG00000015037 | NANOS3 | 64 | 35.606 | ENSXMAG00000020157 | - | 63 | 37.956 | Xiphophorus_maculatus |
| ENSPANG00000015037 | NANOS3 | 72 | 36.508 | ENSXMAG00000023751 | nanos3 | 90 | 39.153 | Xiphophorus_maculatus |