| Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
|---|---|---|---|---|---|
| ENSUAMP00000030196 | zf-nanos | PF05741.13 | 2.1e-25 | 1 | 1 |
| Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
|---|---|---|---|---|---|---|---|
| ENSUAMT00000033681 | NANOS2-201 | 417 | - | ENSUAMP00000030196 | 138 (aa) | - | - |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
|---|---|---|---|---|---|---|---|
| ENSUAMG00000023170 | NANOS2 | 96 | 44.828 | ENSUAMG00000006804 | NANOS3 | 75 | 48.507 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
|---|---|---|---|---|---|---|---|---|
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSG00000188425 | NANOS2 | 100 | 84.783 | Homo_sapiens |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | ENSG00000187556 | NANOS3 | 76 | 48.507 | Homo_sapiens |
| ENSUAMG00000023170 | NANOS2 | 84 | 41.176 | ENSAPOG00000020274 | nanos2 | 80 | 38.849 | Acanthochromis_polyacanthus |
| ENSUAMG00000023170 | NANOS2 | 96 | 49.254 | ENSAMEG00000012972 | NANOS3 | 75 | 47.761 | Ailuropoda_melanoleuca |
| ENSUAMG00000023170 | NANOS2 | 96 | 41.353 | ENSACIG00000007105 | nanos2 | 82 | 41.353 | Amphilophus_citrinellus |
| ENSUAMG00000023170 | NANOS2 | 80 | 44.538 | ENSAOCG00000009429 | nanos2 | 75 | 43.103 | Amphiprion_ocellaris |
| ENSUAMG00000023170 | NANOS2 | 80 | 42.742 | ENSAPEG00000019139 | nanos2 | 76 | 42.975 | Amphiprion_percula |
| ENSUAMG00000023170 | NANOS2 | 85 | 37.589 | ENSATEG00000009393 | nanos2 | 80 | 37.589 | Anabas_testudineus |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000025655 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000017474 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 53.472 | ENSACAG00000026819 | - | 100 | 55.000 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000026771 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000027440 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000025260 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000026679 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000023650 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000027995 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000024370 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000024639 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 51.389 | ENSACAG00000025729 | - | 100 | 54.286 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 48.872 | ENSACAG00000022790 | - | 97 | 48.872 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000023428 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 50.000 | ENSACAG00000025044 | - | 100 | 53.571 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 51.880 | ENSACAG00000022861 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000026317 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 53.731 | ENSACAG00000026350 | - | 97 | 53.731 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.083 | ENSACAG00000022088 | - | 100 | 55.714 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.778 | ENSACAG00000023519 | - | 100 | 54.286 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000022675 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | ENSACAG00000028048 | - | 97 | 52.632 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 52.985 | ENSACAG00000026660 | - | 97 | 52.985 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000024568 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000027265 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 50.694 | ENSACAG00000026334 | - | 100 | 53.571 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000021948 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | ENSACAG00000025632 | - | 97 | 52.632 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000025093 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000022236 | - | 100 | 55.000 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 51.880 | ENSACAG00000024003 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000024364 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000023823 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000027212 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000023855 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000024972 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000026478 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000023391 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000023803 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 50.000 | ENSACAG00000022322 | - | 100 | 53.571 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 99 | 52.518 | ENSACAG00000022918 | - | 99 | 52.518 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000010268 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 48.387 | ENSACAG00000025556 | - | 100 | 50.340 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 53.731 | ENSACAG00000027568 | - | 97 | 53.731 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 53.731 | ENSACAG00000024524 | - | 97 | 53.731 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000022041 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 53.731 | ENSACAG00000005197 | - | 97 | 53.731 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | ENSACAG00000014502 | - | 97 | 52.632 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000024274 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.555 | ENSACAG00000024432 | - | 97 | 54.135 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000025505 | - | 97 | 54.015 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 50.694 | ENSACAG00000024995 | - | 100 | 54.286 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 51.389 | ENSACAG00000024434 | - | 100 | 54.286 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | ENSACAG00000023813 | - | 97 | 53.285 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 50.714 | ENSACAG00000027983 | - | 100 | 54.286 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 54.015 | ENSACAG00000022207 | - | 97 | 55.639 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 52.632 | ENSACAG00000022321 | - | 97 | 52.632 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000027728 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.857 | ENSACAG00000025307 | - | 100 | 52.857 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000026757 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000023774 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 97 | 53.731 | ENSACAG00000025452 | - | 97 | 53.731 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.143 | ENSACAG00000026914 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000024504 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 55 | 46.753 | ENSACAG00000027867 | - | 95 | 46.753 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 53.383 | ENSACAG00000027196 | - | 97 | 53.383 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 51.429 | ENSACAG00000024218 | - | 100 | 51.429 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 100 | 52.083 | ENSACAG00000026716 | - | 100 | 55.714 | Anolis_carolinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 49.254 | ENSANAG00000025042 | NANOS3 | 78 | 45.390 | Aotus_nancymaae |
| ENSUAMG00000023170 | NANOS2 | 80 | 40.000 | ENSACLG00000027005 | nanos2 | 67 | 40.000 | Astatotilapia_calliptera |
| ENSUAMG00000023170 | NANOS2 | 80 | 38.462 | ENSAMXG00000042358 | nanos2 | 76 | 38.462 | Astyanax_mexicanus |
| ENSUAMG00000023170 | NANOS2 | 100 | 88.406 | ENSBTAG00000047505 | NANOS2 | 100 | 88.406 | Bos_taurus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.101 | ENSBTAG00000000399 | NANOS3 | 76 | 45.652 | Bos_taurus |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.809 | ENSCJAG00000004388 | NANOS3 | 77 | 46.099 | Callithrix_jacchus |
| ENSUAMG00000023170 | NANOS2 | 99 | 81.752 | ENSCJAG00000012141 | NANOS2 | 97 | 81.752 | Callithrix_jacchus |
| ENSUAMG00000023170 | NANOS2 | 100 | 93.478 | ENSCAFG00000024541 | NANOS2 | 100 | 93.478 | Canis_familiaris |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.056 | ENSCAFG00000016592 | NANOS3 | 68 | 45.522 | Canis_familiaris |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.056 | ENSCAFG00020006694 | NANOS3 | 68 | 45.522 | Canis_lupus_dingo |
| ENSUAMG00000023170 | NANOS2 | 100 | 93.478 | ENSCAFG00020001772 | NANOS2 | 100 | 93.478 | Canis_lupus_dingo |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.522 | ENSCHIG00000007837 | NANOS3 | 74 | 44.853 | Capra_hircus |
| ENSUAMG00000023170 | NANOS2 | 100 | 87.681 | ENSCHIG00000012637 | NANOS2 | 100 | 87.681 | Capra_hircus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.826 | ENSTSYG00000026709 | NANOS3 | 75 | 45.185 | Carlito_syrichta |
| ENSUAMG00000023170 | NANOS2 | 57 | 94.937 | ENSTSYG00000028873 | NANOS2 | 61 | 91.667 | Carlito_syrichta |
| ENSUAMG00000023170 | NANOS2 | 99 | 75.714 | ENSCAPG00000016771 | NANOS2 | 99 | 74.286 | Cavia_aperea |
| ENSUAMG00000023170 | NANOS2 | 96 | 48.507 | ENSCAPG00000014339 | NANOS3 | 83 | 48.507 | Cavia_aperea |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.794 | ENSCPOG00000020727 | NANOS3 | 75 | 45.775 | Cavia_porcellus |
| ENSUAMG00000023170 | NANOS2 | 99 | 75.714 | ENSCPOG00000014969 | NANOS2 | 99 | 74.286 | Cavia_porcellus |
| ENSUAMG00000023170 | NANOS2 | 96 | 49.254 | ENSCCAG00000036253 | NANOS3 | 75 | 49.254 | Cebus_capucinus |
| ENSUAMG00000023170 | NANOS2 | 96 | 41.509 | ENSCATG00000034885 | NANOS3 | 78 | 42.581 | Cercocebus_atys |
| ENSUAMG00000023170 | NANOS2 | 100 | 83.333 | ENSCATG00000018951 | NANOS2 | 100 | 83.333 | Cercocebus_atys |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.059 | ENSCLAG00000015139 | NANOS3 | 74 | 47.059 | Chinchilla_lanigera |
| ENSUAMG00000023170 | NANOS2 | 99 | 74.453 | ENSCLAG00000001832 | NANOS2 | 99 | 74.453 | Chinchilla_lanigera |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSCSAG00000019629 | NANOS2 | 100 | 84.783 | Chlorocebus_sabaeus |
| ENSUAMG00000023170 | NANOS2 | 96 | 41.772 | ENSCSAG00000006428 | NANOS3 | 79 | 41.772 | Chlorocebus_sabaeus |
| ENSUAMG00000023170 | NANOS2 | 100 | 85.507 | ENSCHOG00000001937 | NANOS2 | 100 | 85.507 | Choloepus_hoffmanni |
| ENSUAMG00000023170 | NANOS2 | 96 | 51.128 | ENSCPBG00000007141 | NANOS2 | 87 | 50.365 | Chrysemys_picta_bellii |
| ENSUAMG00000023170 | NANOS2 | 55 | 48.101 | ENSCPBG00000002172 | NANOS1 | 65 | 48.101 | Chrysemys_picta_bellii |
| ENSUAMG00000023170 | NANOS2 | 98 | 41.007 | ENSCPBG00000023819 | NANOS3 | 95 | 40.580 | Chrysemys_picta_bellii |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.058 | ENSCANG00000012014 | NANOS2 | 100 | 84.058 | Colobus_angolensis_palliatus |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | ENSCANG00000034930 | NANOS3 | 76 | 47.761 | Colobus_angolensis_palliatus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSCGRG00001023851 | Nanos3 | 75 | 47.015 | Cricetulus_griseus_chok1gshd |
| ENSUAMG00000023170 | NANOS2 | 100 | 75.362 | ENSCGRG00001013726 | Nanos2 | 100 | 72.464 | Cricetulus_griseus_chok1gshd |
| ENSUAMG00000023170 | NANOS2 | 100 | 75.362 | ENSCGRG00000019170 | Nanos2 | 100 | 72.464 | Cricetulus_griseus_crigri |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSCGRG00000017734 | Nanos3 | 73 | 47.015 | Cricetulus_griseus_crigri |
| ENSUAMG00000023170 | NANOS2 | 80 | 39.516 | ENSCSEG00000017157 | nanos2 | 77 | 37.097 | Cynoglossus_semilaevis |
| ENSUAMG00000023170 | NANOS2 | 80 | 49.091 | ENSCVAG00000006947 | nanos2 | 86 | 46.875 | Cyprinodon_variegatus |
| ENSUAMG00000023170 | NANOS2 | 88 | 35.507 | ENSDARG00000068255 | nanos3 | 77 | 36.585 | Danio_rerio |
| ENSUAMG00000023170 | NANOS2 | 80 | 36.975 | ENSDARG00000116802 | nanos2 | 82 | 38.655 | Danio_rerio |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSDNOG00000044718 | NANOS2 | 100 | 84.783 | Dasypus_novemcinctus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSEASG00005015313 | NANOS3 | 78 | 47.015 | Equus_asinus_asinus |
| ENSUAMG00000023170 | NANOS2 | 100 | 92.029 | ENSEASG00005014235 | NANOS2 | 100 | 92.029 | Equus_asinus_asinus |
| ENSUAMG00000023170 | NANOS2 | 100 | 92.029 | ENSECAG00000006033 | NANOS2 | 100 | 92.029 | Equus_caballus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSECAG00000016293 | NANOS3 | 74 | 47.015 | Equus_caballus |
| ENSUAMG00000023170 | NANOS2 | 100 | 81.159 | ENSEEUG00000009930 | NANOS2 | 100 | 81.159 | Erinaceus_europaeus |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.836 | ENSEEUG00000009900 | NANOS3 | 87 | 45.205 | Erinaceus_europaeus |
| ENSUAMG00000023170 | NANOS2 | 86 | 42.149 | ENSELUG00000019091 | - | 82 | 42.149 | Esox_lucius |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.037 | ENSELUG00000016582 | - | 76 | 37.037 | Esox_lucius |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.500 | ENSELUG00000016082 | nanos3 | 82 | 37.500 | Esox_lucius |
| ENSUAMG00000023170 | NANOS2 | 56 | 53.247 | ENSFCAG00000003717 | NANOS3 | 73 | 42.188 | Felis_catus |
| ENSUAMG00000023170 | NANOS2 | 100 | 91.304 | ENSFCAG00000027661 | NANOS2 | 100 | 91.304 | Felis_catus |
| ENSUAMG00000023170 | NANOS2 | 50 | 48.571 | ENSFALG00000006160 | NANOS3 | 89 | 44.000 | Ficedula_albicollis |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.794 | ENSFDAG00000018459 | NANOS3 | 74 | 47.794 | Fukomys_damarensis |
| ENSUAMG00000023170 | NANOS2 | 99 | 76.429 | ENSFDAG00000016342 | NANOS2 | 99 | 73.427 | Fukomys_damarensis |
| ENSUAMG00000023170 | NANOS2 | 93 | 36.923 | ENSFHEG00000012835 | NANOS2 | 85 | 41.818 | Fundulus_heteroclitus |
| ENSUAMG00000023170 | NANOS2 | 55 | 51.948 | ENSGMOG00000020465 | nanos1 | 84 | 51.948 | Gadus_morhua |
| ENSUAMG00000023170 | NANOS2 | 65 | 48.936 | ENSGMOG00000016541 | nanos3 | 68 | 57.971 | Gadus_morhua |
| ENSUAMG00000023170 | NANOS2 | 81 | 40.000 | ENSGMOG00000015980 | - | 96 | 35.938 | Gadus_morhua |
| ENSUAMG00000023170 | NANOS2 | 80 | 42.727 | ENSGAFG00000006000 | - | 66 | 42.727 | Gambusia_affinis |
| ENSUAMG00000023170 | NANOS2 | 60 | 53.488 | ENSGACG00000016692 | - | 93 | 53.488 | Gasterosteus_aculeatus |
| ENSUAMG00000023170 | NANOS2 | 81 | 40.496 | ENSGACG00000004930 | - | 95 | 37.302 | Gasterosteus_aculeatus |
| ENSUAMG00000023170 | NANOS2 | 90 | 36.957 | ENSGACG00000019003 | nanos3 | 88 | 36.957 | Gasterosteus_aculeatus |
| ENSUAMG00000023170 | NANOS2 | 92 | 53.543 | ENSGAGG00000009500 | NANOS2 | 76 | 49.606 | Gopherus_agassizii |
| ENSUAMG00000023170 | NANOS2 | 95 | 44.030 | ENSGAGG00000005591 | - | 73 | 43.284 | Gopherus_agassizii |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.058 | ENSGGOG00000013447 | NANOS2 | 100 | 84.058 | Gorilla_gorilla |
| ENSUAMG00000023170 | NANOS2 | 96 | 42.405 | ENSGGOG00000000964 | NANOS3 | 79 | 42.405 | Gorilla_gorilla |
| ENSUAMG00000023170 | NANOS2 | 95 | 36.000 | ENSHBUG00000016772 | nanos2 | 87 | 37.333 | Haplochromis_burtoni |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.059 | ENSHGLG00000019378 | NANOS3 | 71 | 47.059 | Heterocephalus_glaber_female |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.059 | ENSHGLG00100012652 | NANOS3 | 71 | 47.059 | Heterocephalus_glaber_male |
| ENSUAMG00000023170 | NANOS2 | 55 | 53.247 | ENSHCOG00000010326 | NANOS1 | 61 | 41.667 | Hippocampus_comes |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.931 | ENSHCOG00000011423 | - | 57 | 34.559 | Hippocampus_comes |
| ENSUAMG00000023170 | NANOS2 | 95 | 39.456 | ENSHCOG00000014790 | nanos3 | 84 | 37.671 | Hippocampus_comes |
| ENSUAMG00000023170 | NANOS2 | 96 | 36.111 | ENSIPUG00000007200 | - | 88 | 34.507 | Ictalurus_punctatus |
| ENSUAMG00000023170 | NANOS2 | 91 | 41.429 | ENSIPUG00000024113 | nanos2 | 86 | 42.446 | Ictalurus_punctatus |
| ENSUAMG00000023170 | NANOS2 | 91 | 33.742 | ENSIPUG00000008857 | nanos3 | 88 | 32.515 | Ictalurus_punctatus |
| ENSUAMG00000023170 | NANOS2 | 86 | 37.500 | ENSIPUG00000012246 | - | 65 | 36.441 | Ictalurus_punctatus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSSTOG00000024797 | NANOS3 | 73 | 47.015 | Ictidomys_tridecemlineatus |
| ENSUAMG00000023170 | NANOS2 | 100 | 78.261 | ENSSTOG00000021724 | NANOS2 | 100 | 76.978 | Ictidomys_tridecemlineatus |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.444 | ENSJJAG00000000545 | Nanos3 | 73 | 46.269 | Jaculus_jaculus |
| ENSUAMG00000023170 | NANOS2 | 90 | 38.129 | ENSLBEG00000018836 | nanos2 | 91 | 36.691 | Labrus_bergylta |
| ENSUAMG00000023170 | NANOS2 | 96 | 38.406 | ENSLACG00000013286 | NANOS3 | 95 | 38.406 | Latimeria_chalumnae |
| ENSUAMG00000023170 | NANOS2 | 92 | 44.586 | ENSLACG00000014980 | - | 89 | 45.860 | Latimeria_chalumnae |
| ENSUAMG00000023170 | NANOS2 | 100 | 85.106 | ENSLAFG00000014090 | NANOS2 | 100 | 82.979 | Loxodonta_africana |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.522 | ENSLAFG00000008480 | NANOS3 | 73 | 45.522 | Loxodonta_africana |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSMFAG00000017215 | NANOS2 | 100 | 84.783 | Macaca_fascicularis |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.421 | ENSMFAG00000040009 | NANOS3 | 78 | 43.421 | Macaca_fascicularis |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSMMUG00000008103 | NANOS2 | 100 | 84.783 | Macaca_mulatta |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.137 | ENSMMUG00000008316 | NANOS3 | 78 | 41.401 | Macaca_mulatta |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.421 | ENSMNEG00000028898 | NANOS3 | 78 | 43.421 | Macaca_nemestrina |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSMNEG00000004633 | NANOS2 | 100 | 84.783 | Macaca_nemestrina |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.926 | ENSMLEG00000033135 | NANOS3 | 75 | 47.407 | Mandrillus_leucophaeus |
| ENSUAMG00000023170 | NANOS2 | 100 | 83.333 | ENSMLEG00000001810 | NANOS2 | 100 | 83.333 | Mandrillus_leucophaeus |
| ENSUAMG00000023170 | NANOS2 | 88 | 36.923 | ENSMAMG00000005577 | NANOS2 | 83 | 37.984 | Mastacembelus_armatus |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.209 | ENSMZEG00005028148 | - | 78 | 38.760 | Maylandia_zebra |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.209 | ENSMZEG00005024641 | - | 78 | 38.760 | Maylandia_zebra |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.209 | ENSMZEG00005028154 | - | 78 | 38.760 | Maylandia_zebra |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.209 | ENSMZEG00005003043 | - | 78 | 38.760 | Maylandia_zebra |
| ENSUAMG00000023170 | NANOS2 | 95 | 36.667 | ENSMZEG00005021987 | - | 87 | 37.333 | Maylandia_zebra |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.652 | ENSMAUG00000008396 | Nanos3 | 73 | 45.522 | Mesocricetus_auratus |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.370 | ENSMICG00000030950 | NANOS3 | 75 | 47.761 | Microcebus_murinus |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.185 | ENSMOCG00000000059 | Nanos3 | 73 | 47.015 | Microtus_ochrogaster |
| ENSUAMG00000023170 | NANOS2 | 100 | 71.739 | ENSMOCG00000001985 | Nanos2 | 100 | 70.290 | Microtus_ochrogaster |
| ENSUAMG00000023170 | NANOS2 | 80 | 45.217 | ENSMMOG00000009827 | nanos2 | 75 | 44.348 | Mola_mola |
| ENSUAMG00000023170 | NANOS2 | 99 | 48.551 | ENSMODG00000023964 | - | 98 | 47.101 | Monodelphis_domestica |
| ENSUAMG00000023170 | NANOS2 | 89 | 40.323 | ENSMALG00000011545 | - | 66 | 39.370 | Monopterus_albus |
| ENSUAMG00000023170 | NANOS2 | 90 | 42.969 | ENSMALG00000006299 | nanos2 | 82 | 42.969 | Monopterus_albus |
| ENSUAMG00000023170 | NANOS2 | 90 | 38.028 | ENSMALG00000005945 | nanos3 | 84 | 37.956 | Monopterus_albus |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 46.269 | Mus_caroli |
| ENSUAMG00000023170 | NANOS2 | 100 | 75.540 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 73.188 | Mus_caroli |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | ENSMUSG00000056155 | Nanos3 | 75 | 46.269 | Mus_musculus |
| ENSUAMG00000023170 | NANOS2 | 100 | 73.913 | ENSMUSG00000051965 | Nanos2 | 100 | 72.464 | Mus_musculus |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 46.269 | Mus_pahari |
| ENSUAMG00000023170 | NANOS2 | 100 | 71.014 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 70.290 | Mus_pahari |
| ENSUAMG00000023170 | NANOS2 | 100 | 73.188 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 71.739 | Mus_spretus |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 46.269 | Mus_spretus |
| ENSUAMG00000023170 | NANOS2 | 100 | 93.478 | ENSMPUG00000019371 | NANOS2 | 100 | 93.478 | Mustela_putorius_furo |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | ENSMPUG00000003282 | NANOS3 | 73 | 50.000 | Mustela_putorius_furo |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.761 | ENSMLUG00000012971 | NANOS3 | 75 | 47.015 | Myotis_lucifugus |
| ENSUAMG00000023170 | NANOS2 | 96 | 34.524 | ENSNGAG00000023539 | Nanos1 | 81 | 33.333 | Nannospalax_galili |
| ENSUAMG00000023170 | NANOS2 | 96 | 48.507 | ENSNGAG00000020486 | Nanos3 | 73 | 48.507 | Nannospalax_galili |
| ENSUAMG00000023170 | NANOS2 | 80 | 40.909 | ENSNBRG00000018838 | NANOS2 | 64 | 40.909 | Neolamprologus_brichardi |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | ENSNLEG00000034574 | NANOS3 | 75 | 48.507 | Nomascus_leucogenys |
| ENSUAMG00000023170 | NANOS2 | 100 | 72.535 | ENSOPRG00000010043 | NANOS2 | 100 | 76.761 | Ochotona_princeps |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.371 | ENSOPRG00000007211 | - | 75 | 42.000 | Ochotona_princeps |
| ENSUAMG00000023170 | NANOS2 | 96 | 49.635 | ENSODEG00000008907 | NANOS3 | 71 | 47.761 | Octodon_degus |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.984 | ENSONIG00000005777 | nanos2 | 78 | 39.535 | Oreochromis_niloticus |
| ENSUAMG00000023170 | NANOS2 | 97 | 40.876 | ENSOANG00000013042 | - | 96 | 41.176 | Ornithorhynchus_anatinus |
| ENSUAMG00000023170 | NANOS2 | 100 | 82.734 | ENSOCUG00000023755 | NANOS2 | 100 | 79.137 | Oryctolagus_cuniculus |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.796 | ENSOCUG00000014802 | NANOS3 | 77 | 47.101 | Oryctolagus_cuniculus |
| ENSUAMG00000023170 | NANOS2 | 80 | 40.678 | ENSORLG00000009335 | nanos2 | 76 | 40.678 | Oryzias_latipes |
| ENSUAMG00000023170 | NANOS2 | 80 | 41.525 | ENSORLG00020013284 | nanos2 | 76 | 41.525 | Oryzias_latipes_hni |
| ENSUAMG00000023170 | NANOS2 | 80 | 40.678 | ENSORLG00015013150 | nanos2 | 76 | 41.525 | Oryzias_latipes_hsok |
| ENSUAMG00000023170 | NANOS2 | 82 | 40.984 | ENSOMEG00000006512 | nanos2 | 79 | 44.068 | Oryzias_melastigma |
| ENSUAMG00000023170 | NANOS2 | 96 | 48.148 | ENSOGAG00000007190 | NANOS3 | 74 | 45.522 | Otolemur_garnettii |
| ENSUAMG00000023170 | NANOS2 | 100 | 89.130 | ENSOGAG00000032290 | NANOS2 | 100 | 89.130 | Otolemur_garnettii |
| ENSUAMG00000023170 | NANOS2 | 100 | 87.681 | ENSOARG00000011467 | NANOS2 | 100 | 87.681 | Ovis_aries |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.377 | ENSOARG00000008043 | NANOS3 | 72 | 44.118 | Ovis_aries |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSPPAG00000020568 | NANOS2 | 100 | 84.783 | Pan_paniscus |
| ENSUAMG00000023170 | NANOS2 | 96 | 50.000 | ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | Pan_paniscus |
| ENSUAMG00000023170 | NANOS2 | 100 | 91.304 | ENSPPRG00000015211 | NANOS2 | 100 | 91.304 | Panthera_pardus |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.448 | ENSPPRG00000009573 | NANOS3 | 75 | 47.015 | Panthera_pardus |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.448 | ENSPTIG00000000325 | NANOS3 | 75 | 47.015 | Panthera_tigris_altaica |
| ENSUAMG00000023170 | NANOS2 | 91 | 90.400 | ENSPTIG00000015372 | NANOS2 | 90 | 90.400 | Panthera_tigris_altaica |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.079 | ENSPTRG00000010568 | NANOS3 | 78 | 42.763 | Pan_troglodytes |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSPTRG00000011172 | NANOS2 | 100 | 84.783 | Pan_troglodytes |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.058 | ENSPANG00000009327 | NANOS2 | 100 | 84.058 | Papio_anubis |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.421 | ENSPANG00000015037 | NANOS3 | 76 | 43.421 | Papio_anubis |
| ENSUAMG00000023170 | NANOS2 | 92 | 43.077 | ENSPKIG00000006905 | - | 62 | 41.860 | Paramormyrops_kingsleyae |
| ENSUAMG00000023170 | NANOS2 | 90 | 35.032 | ENSPKIG00000009354 | nanos3 | 77 | 34.868 | Paramormyrops_kingsleyae |
| ENSUAMG00000023170 | NANOS2 | 85 | 33.858 | ENSPKIG00000006934 | - | 86 | 33.594 | Paramormyrops_kingsleyae |
| ENSUAMG00000023170 | NANOS2 | 55 | 48.101 | ENSPSIG00000000407 | - | 96 | 48.101 | Pelodiscus_sinensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.897 | ENSPSIG00000007082 | NANOS2 | 96 | 50.376 | Pelodiscus_sinensis |
| ENSUAMG00000023170 | NANOS2 | 86 | 43.200 | ENSPMGG00000023681 | nanos2 | 74 | 43.200 | Periophthalmus_magnuspinnatus |
| ENSUAMG00000023170 | NANOS2 | 100 | 75.362 | ENSPEMG00000014999 | Nanos2 | 100 | 75.362 | Peromyscus_maniculatus_bairdii |
| ENSUAMG00000023170 | NANOS2 | 55 | 53.247 | ENSPFOG00000020533 | - | 84 | 53.247 | Poecilia_formosa |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.778 | ENSPFOG00000020721 | NANOS2 | 84 | 35.000 | Poecilia_formosa |
| ENSUAMG00000023170 | NANOS2 | 80 | 45.045 | ENSPLAG00000007786 | NANOS2 | 81 | 45.045 | Poecilia_latipinna |
| ENSUAMG00000023170 | NANOS2 | 86 | 43.333 | ENSPMEG00000005681 | NANOS2 | 80 | 45.133 | Poecilia_mexicana |
| ENSUAMG00000023170 | NANOS2 | 80 | 45.045 | ENSPREG00000020465 | nanos2 | 81 | 45.045 | Poecilia_reticulata |
| ENSUAMG00000023170 | NANOS2 | 96 | 42.405 | ENSPPYG00000009627 | NANOS3 | 78 | 41.772 | Pongo_abelii |
| ENSUAMG00000023170 | NANOS2 | 100 | 85.507 | ENSPPYG00000010138 | NANOS2 | 100 | 85.507 | Pongo_abelii |
| ENSUAMG00000023170 | NANOS2 | 100 | 82.609 | ENSPCAG00000005087 | NANOS2 | 100 | 82.609 | Procavia_capensis |
| ENSUAMG00000023170 | NANOS2 | 96 | 49.630 | ENSPCOG00000018814 | NANOS3 | 75 | 47.761 | Propithecus_coquereli |
| ENSUAMG00000023170 | NANOS2 | 100 | 89.130 | ENSPVAG00000001363 | NANOS2 | 100 | 89.130 | Pteropus_vampyrus |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | ENSPVAG00000017538 | NANOS3 | 75 | 46.269 | Pteropus_vampyrus |
| ENSUAMG00000023170 | NANOS2 | 80 | 41.818 | ENSPNYG00000004545 | NANOS2 | 76 | 41.818 | Pundamilia_nyererei |
| ENSUAMG00000023170 | NANOS2 | 95 | 40.152 | ENSPNAG00000002259 | nanos3 | 84 | 34.615 | Pygocentrus_nattereri |
| ENSUAMG00000023170 | NANOS2 | 100 | 74.468 | ENSRNOG00000038088 | Nanos2 | 100 | 72.464 | Rattus_norvegicus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSRNOG00000031593 | Nanos3 | 73 | 47.015 | Rattus_norvegicus |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.058 | ENSRBIG00000023726 | NANOS2 | 100 | 84.058 | Rhinopithecus_bieti |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.079 | ENSRBIG00000037377 | NANOS3 | 79 | 42.105 | Rhinopithecus_bieti |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.791 | ENSRROG00000032642 | NANOS3 | 79 | 42.484 | Rhinopithecus_roxellana |
| ENSUAMG00000023170 | NANOS2 | 100 | 84.783 | ENSRROG00000014903 | NANOS2 | 100 | 84.783 | Rhinopithecus_roxellana |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.183 | ENSSBOG00000020970 | NANOS3 | 76 | 45.390 | Saimiri_boliviensis_boliviensis |
| ENSUAMG00000023170 | NANOS2 | 98 | 44.853 | ENSSHAG00000012099 | - | 98 | 43.382 | Sarcophilus_harrisii |
| ENSUAMG00000023170 | NANOS2 | 99 | 47.143 | ENSSHAG00000010756 | - | 98 | 47.101 | Sarcophilus_harrisii |
| ENSUAMG00000023170 | NANOS2 | 100 | 69.065 | ENSSHAG00000017034 | NANOS2 | 100 | 66.887 | Sarcophilus_harrisii |
| ENSUAMG00000023170 | NANOS2 | 91 | 35.374 | ENSSFOG00015013452 | nanos3 | 97 | 33.562 | Scleropages_formosus |
| ENSUAMG00000023170 | NANOS2 | 81 | 38.393 | ENSSFOG00015007586 | - | 77 | 36.607 | Scleropages_formosus |
| ENSUAMG00000023170 | NANOS2 | 80 | 35.659 | ENSSMAG00000013915 | nanos2 | 77 | 34.884 | Scophthalmus_maximus |
| ENSUAMG00000023170 | NANOS2 | 80 | 39.062 | ENSSDUG00000016576 | nanos2 | 78 | 37.984 | Seriola_dumerili |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.984 | ENSSLDG00000013795 | nanos2 | 78 | 37.984 | Seriola_lalandi_dorsalis |
| ENSUAMG00000023170 | NANOS2 | 96 | 45.522 | ENSSARG00000008966 | NANOS3 | 73 | 44.030 | Sorex_araneus |
| ENSUAMG00000023170 | NANOS2 | 99 | 43.066 | ENSSPUG00000009826 | NANOS3 | 70 | 40.000 | Sphenodon_punctatus |
| ENSUAMG00000023170 | NANOS2 | 100 | 53.425 | ENSSPUG00000002566 | NANOS2 | 100 | 55.034 | Sphenodon_punctatus |
| ENSUAMG00000023170 | NANOS2 | 80 | 39.844 | ENSSPAG00000003887 | nanos2 | 81 | 39.844 | Stegastes_partitus |
| ENSUAMG00000023170 | NANOS2 | 100 | 86.957 | ENSSSCG00000003096 | NANOS2 | 100 | 86.957 | Sus_scrofa |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.015 | ENSSSCG00000013759 | NANOS3 | 75 | 47.015 | Sus_scrofa |
| ENSUAMG00000023170 | NANOS2 | 80 | 38.739 | ENSTRUG00000017633 | nanos2 | 82 | 40.351 | Takifugu_rubripes |
| ENSUAMG00000023170 | NANOS2 | 86 | 42.636 | ENSTNIG00000014063 | nanos3 | 84 | 40.157 | Tetraodon_nigroviridis |
| ENSUAMG00000023170 | NANOS2 | 83 | 41.935 | ENSTNIG00000010543 | - | 88 | 39.344 | Tetraodon_nigroviridis |
| ENSUAMG00000023170 | NANOS2 | 96 | 46.269 | ENSTBEG00000013729 | NANOS3 | 86 | 45.522 | Tupaia_belangeri |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.761 | ENSTTRG00000008361 | NANOS3 | 78 | 47.761 | Tursiops_truncatus |
| ENSUAMG00000023170 | NANOS2 | 100 | 89.130 | ENSTTRG00000014315 | NANOS2 | 100 | 89.130 | Tursiops_truncatus |
| ENSUAMG00000023170 | NANOS2 | 81 | 99.107 | ENSUMAG00000023699 | NANOS2 | 73 | 99.107 | Ursus_maritimus |
| ENSUAMG00000023170 | NANOS2 | 96 | 44.828 | ENSUMAG00000004703 | NANOS3 | 73 | 48.507 | Ursus_maritimus |
| ENSUAMG00000023170 | NANOS2 | 96 | 47.761 | ENSVPAG00000011497 | NANOS3 | 76 | 47.761 | Vicugna_pacos |
| ENSUAMG00000023170 | NANOS2 | 96 | 43.448 | ENSVVUG00000026757 | NANOS3 | 76 | 47.015 | Vulpes_vulpes |
| ENSUAMG00000023170 | NANOS2 | 100 | 95.652 | ENSVVUG00000002993 | NANOS2 | 100 | 95.652 | Vulpes_vulpes |
| ENSUAMG00000023170 | NANOS2 | 80 | 40.517 | ENSXETG00000024565 | nanos1 | 84 | 38.938 | Xenopus_tropicalis |
| ENSUAMG00000023170 | NANOS2 | 96 | 39.310 | ENSXETG00000014552 | NANOS2 | 97 | 41.606 | Xenopus_tropicalis |
| ENSUAMG00000023170 | NANOS2 | 99 | 40.816 | ENSXETG00000021874 | nanos3 | 99 | 39.726 | Xenopus_tropicalis |
| ENSUAMG00000023170 | NANOS2 | 80 | 37.209 | ENSXMAG00000020157 | - | 63 | 37.209 | Xiphophorus_maculatus |