| Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
|---|---|---|---|---|---|
| ENSFDAP00000007963 | zf-nanos | PF05741.13 | 5.7e-25 | 1 | 1 |
| Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
|---|---|---|---|---|---|---|---|
| ENSFDAT00000021109 | NANOS2-201 | 1012 | XM_010614571 | ENSFDAP00000007963 | 133 (aa) | XP_010612873 | A0A091CK21 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
|---|---|---|---|---|---|---|---|
| ENSFDAG00000016342 | NANOS2 | 95 | 47.761 | ENSFDAG00000018459 | NANOS3 | 73 | 47.761 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
|---|---|---|---|---|---|---|---|---|
| ENSFDAG00000016342 | NANOS2 | 95 | 46.923 | ENSG00000187556 | NANOS3 | 75 | 46.923 | Homo_sapiens |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSG00000188425 | NANOS2 | 99 | 75.000 | Homo_sapiens |
| ENSFDAG00000016342 | NANOS2 | 83 | 37.681 | ENSAPOG00000020274 | nanos2 | 80 | 38.060 | Acanthochromis_polyacanthus |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.407 | ENSAMEG00000012972 | NANOS3 | 74 | 47.407 | Ailuropoda_melanoleuca |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.969 | ENSACIG00000007105 | nanos2 | 82 | 42.969 | Amphilophus_citrinellus |
| ENSFDAG00000016342 | NANOS2 | 87 | 37.209 | ENSAOCG00000009429 | nanos2 | 82 | 37.984 | Amphiprion_ocellaris |
| ENSFDAG00000016342 | NANOS2 | 87 | 35.821 | ENSAPEG00000019139 | nanos2 | 83 | 36.364 | Amphiprion_percula |
| ENSFDAG00000016342 | NANOS2 | 87 | 37.313 | ENSATEG00000009393 | nanos2 | 82 | 38.806 | Anabas_testudineus |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000024639 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000026771 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000024568 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000027196 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000023823 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 52.239 | ENSACAG00000026819 | - | 99 | 52.239 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 51.562 | ENSACAG00000025505 | - | 96 | 51.562 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000023391 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 49.242 | ENSACAG00000005197 | - | 96 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000024370 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 48.485 | ENSACAG00000026660 | - | 96 | 50.746 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 52.985 | ENSACAG00000022088 | - | 99 | 52.985 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 51.969 | ENSACAG00000022207 | - | 96 | 51.969 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000025260 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000022041 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 49.606 | ENSACAG00000025632 | - | 96 | 51.181 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000027983 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 49.242 | ENSACAG00000027568 | - | 96 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.592 | ENSACAG00000025556 | - | 99 | 48.592 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 49.242 | ENSACAG00000024524 | - | 96 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000026679 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000023519 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000022675 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 49.606 | ENSACAG00000014502 | - | 96 | 51.181 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000023428 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.101 | ENSACAG00000024218 | - | 99 | 47.101 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000025655 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 49.606 | ENSACAG00000028048 | - | 96 | 51.181 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000025093 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000027995 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.328 | ENSACAG00000022861 | - | 96 | 47.328 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000024274 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000021948 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000022322 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000017474 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 52.344 | ENSACAG00000023813 | - | 96 | 52.344 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 49.606 | ENSACAG00000022321 | - | 96 | 51.181 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000024364 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 98 | 48.529 | ENSACAG00000022918 | - | 98 | 48.529 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000026914 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 49.242 | ENSACAG00000025452 | - | 96 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 57 | 48.052 | ENSACAG00000027867 | - | 95 | 48.052 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000023855 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000026757 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000024995 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000023774 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000027212 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000025307 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 96 | 49.242 | ENSACAG00000026350 | - | 96 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 47.826 | ENSACAG00000026317 | - | 99 | 47.826 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 52.239 | ENSACAG00000025729 | - | 99 | 52.239 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000027265 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000026478 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 98 | 49.265 | ENSACAG00000023650 | - | 98 | 49.265 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.819 | ENSACAG00000024003 | - | 96 | 50.394 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000010268 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000027440 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000026334 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000023803 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 48.551 | ENSACAG00000024972 | - | 99 | 48.551 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 51.181 | ENSACAG00000024432 | - | 96 | 51.181 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 52.239 | ENSACAG00000024434 | - | 99 | 52.239 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 52.985 | ENSACAG00000026716 | - | 99 | 52.985 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.669 | ENSACAG00000022790 | - | 96 | 47.244 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.855 | ENSACAG00000024504 | - | 96 | 48.855 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 50.000 | ENSACAG00000022236 | - | 99 | 52.239 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 99 | 51.493 | ENSACAG00000025044 | - | 99 | 51.493 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 98 | 48.529 | ENSACAG00000027728 | - | 98 | 48.529 | Anolis_carolinensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.175 | ENSANAG00000025042 | NANOS3 | 77 | 49.635 | Aotus_nancymaae |
| ENSFDAG00000016342 | NANOS2 | 79 | 40.952 | ENSACLG00000027005 | nanos2 | 67 | 40.952 | Astatotilapia_calliptera |
| ENSFDAG00000016342 | NANOS2 | 77 | 47.115 | ENSAMXG00000030027 | NANOS1 | 55 | 47.115 | Astyanax_mexicanus |
| ENSFDAG00000016342 | NANOS2 | 83 | 35.461 | ENSAMXG00000042358 | nanos2 | 80 | 35.461 | Astyanax_mexicanus |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.092 | ENSBTAG00000000399 | NANOS3 | 74 | 48.092 | Bos_taurus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSBTAG00000047505 | NANOS2 | 99 | 76.429 | Bos_taurus |
| ENSFDAG00000016342 | NANOS2 | 98 | 68.841 | ENSCJAG00000012141 | NANOS2 | 96 | 71.014 | Callithrix_jacchus |
| ENSFDAG00000016342 | NANOS2 | 95 | 41.096 | ENSCJAG00000004388 | NANOS3 | 76 | 46.715 | Callithrix_jacchus |
| ENSFDAG00000016342 | NANOS2 | 99 | 76.429 | ENSCAFG00000024541 | NANOS2 | 99 | 76.429 | Canis_familiaris |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.038 | ENSCAFG00000016592 | NANOS3 | 67 | 46.970 | Canis_familiaris |
| ENSFDAG00000016342 | NANOS2 | 99 | 76.429 | ENSCAFG00020001772 | NANOS2 | 99 | 76.429 | Canis_lupus_dingo |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.038 | ENSCAFG00020006694 | NANOS3 | 67 | 46.970 | Canis_lupus_dingo |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.092 | ENSCHIG00000007837 | NANOS3 | 73 | 48.092 | Capra_hircus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSCHIG00000012637 | NANOS2 | 99 | 76.429 | Capra_hircus |
| ENSFDAG00000016342 | NANOS2 | 59 | 88.462 | ENSTSYG00000028873 | NANOS2 | 62 | 82.022 | Carlito_syrichta |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | ENSTSYG00000026709 | NANOS3 | 74 | 45.802 | Carlito_syrichta |
| ENSFDAG00000016342 | NANOS2 | 100 | 84.328 | ENSCAPG00000016771 | NANOS2 | 100 | 84.328 | Cavia_aperea |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.692 | ENSCAPG00000014339 | NANOS3 | 82 | 47.656 | Cavia_aperea |
| ENSFDAG00000016342 | NANOS2 | 100 | 84.328 | ENSCPOG00000014969 | NANOS2 | 100 | 84.328 | Cavia_porcellus |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.368 | ENSCPOG00000020727 | NANOS3 | 74 | 47.368 | Cavia_porcellus |
| ENSFDAG00000016342 | NANOS2 | 95 | 49.231 | ENSCCAG00000036253 | NANOS3 | 74 | 49.231 | Cebus_capucinus |
| ENSFDAG00000016342 | NANOS2 | 95 | 41.722 | ENSCATG00000034885 | NANOS3 | 77 | 38.961 | Cercocebus_atys |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.714 | ENSCATG00000018951 | NANOS2 | 99 | 72.857 | Cercocebus_atys |
| ENSFDAG00000016342 | NANOS2 | 100 | 82.090 | ENSCLAG00000001832 | NANOS2 | 100 | 82.090 | Chinchilla_lanigera |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.697 | ENSCLAG00000015139 | NANOS3 | 73 | 44.697 | Chinchilla_lanigera |
| ENSFDAG00000016342 | NANOS2 | 99 | 71.429 | ENSCSAG00000019629 | NANOS2 | 99 | 74.286 | Chlorocebus_sabaeus |
| ENSFDAG00000016342 | NANOS2 | 95 | 38.365 | ENSCSAG00000006428 | NANOS3 | 78 | 40.909 | Chlorocebus_sabaeus |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.143 | ENSCHOG00000001937 | NANOS2 | 99 | 72.143 | Choloepus_hoffmanni |
| ENSFDAG00000016342 | NANOS2 | 68 | 46.809 | ENSCPBG00000002172 | NANOS1 | 75 | 46.809 | Chrysemys_picta_bellii |
| ENSFDAG00000016342 | NANOS2 | 98 | 43.796 | ENSCPBG00000023819 | NANOS3 | 95 | 43.796 | Chrysemys_picta_bellii |
| ENSFDAG00000016342 | NANOS2 | 95 | 53.846 | ENSCPBG00000007141 | NANOS2 | 87 | 53.846 | Chrysemys_picta_bellii |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.714 | ENSCANG00000012014 | NANOS2 | 99 | 71.429 | Colobus_angolensis_palliatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.776 | ENSCANG00000034930 | NANOS3 | 75 | 44.776 | Colobus_angolensis_palliatus |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.388 | ENSCGRG00001013726 | Nanos2 | 99 | 72.388 | Cricetulus_griseus_chok1gshd |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.617 | ENSCGRG00001023851 | Nanos3 | 74 | 46.617 | Cricetulus_griseus_chok1gshd |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.388 | ENSCGRG00000019170 | Nanos2 | 99 | 72.388 | Cricetulus_griseus_crigri |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.617 | ENSCGRG00000017734 | Nanos3 | 72 | 46.617 | Cricetulus_griseus_crigri |
| ENSFDAG00000016342 | NANOS2 | 79 | 39.844 | ENSCSEG00000017157 | nanos2 | 77 | 41.406 | Cynoglossus_semilaevis |
| ENSFDAG00000016342 | NANOS2 | 79 | 47.619 | ENSCVAG00000006947 | nanos2 | 86 | 46.400 | Cyprinodon_variegatus |
| ENSFDAG00000016342 | NANOS2 | 88 | 36.296 | ENSDARG00000068255 | nanos3 | 85 | 36.296 | Danio_rerio |
| ENSFDAG00000016342 | NANOS2 | 79 | 41.176 | ENSDARG00000116802 | nanos2 | 82 | 41.176 | Danio_rerio |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.000 | ENSDNOG00000044718 | NANOS2 | 99 | 72.143 | Dasypus_novemcinctus |
| ENSFDAG00000016342 | NANOS2 | 66 | 46.591 | ENSDORG00000029226 | Nanos1 | 54 | 42.478 | Dipodomys_ordii |
| ENSFDAG00000016342 | NANOS2 | 50 | 58.209 | ENSEBUG00000002646 | - | 74 | 53.012 | Eptatretus_burgeri |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSEASG00005014235 | NANOS2 | 99 | 77.857 | Equus_asinus_asinus |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.667 | ENSEASG00005015313 | NANOS3 | 77 | 46.667 | Equus_asinus_asinus |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.667 | ENSECAG00000016293 | NANOS3 | 73 | 46.667 | Equus_caballus |
| ENSFDAG00000016342 | NANOS2 | 99 | 74.286 | ENSECAG00000006033 | NANOS2 | 99 | 77.143 | Equus_caballus |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.537 | ENSEEUG00000009900 | NANOS3 | 86 | 43.537 | Erinaceus_europaeus |
| ENSFDAG00000016342 | NANOS2 | 99 | 74.286 | ENSEEUG00000009930 | NANOS2 | 99 | 74.286 | Erinaceus_europaeus |
| ENSFDAG00000016342 | NANOS2 | 80 | 36.296 | ENSELUG00000016582 | - | 76 | 36.296 | Esox_lucius |
| ENSFDAG00000016342 | NANOS2 | 80 | 36.765 | ENSELUG00000016082 | nanos3 | 82 | 36.765 | Esox_lucius |
| ENSFDAG00000016342 | NANOS2 | 86 | 42.857 | ENSELUG00000019091 | - | 82 | 42.857 | Esox_lucius |
| ENSFDAG00000016342 | NANOS2 | 91 | 40.800 | ENSFCAG00000003717 | NANOS3 | 72 | 42.857 | Felis_catus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.714 | ENSFCAG00000027661 | NANOS2 | 99 | 75.714 | Felis_catus |
| ENSFDAG00000016342 | NANOS2 | 88 | 38.255 | ENSFHEG00000017084 | - | 82 | 38.095 | Fundulus_heteroclitus |
| ENSFDAG00000016342 | NANOS2 | 90 | 40.310 | ENSFHEG00000012835 | NANOS2 | 90 | 42.982 | Fundulus_heteroclitus |
| ENSFDAG00000016342 | NANOS2 | 80 | 42.857 | ENSGMOG00000015980 | - | 96 | 42.857 | Gadus_morhua |
| ENSFDAG00000016342 | NANOS2 | 56 | 56.579 | ENSGMOG00000016541 | nanos3 | 75 | 56.579 | Gadus_morhua |
| ENSFDAG00000016342 | NANOS2 | 57 | 51.948 | ENSGMOG00000020465 | nanos1 | 84 | 51.948 | Gadus_morhua |
| ENSFDAG00000016342 | NANOS2 | 79 | 43.243 | ENSGAFG00000006000 | - | 66 | 43.243 | Gambusia_affinis |
| ENSFDAG00000016342 | NANOS2 | 57 | 54.545 | ENSGACG00000016692 | - | 84 | 54.545 | Gasterosteus_aculeatus |
| ENSFDAG00000016342 | NANOS2 | 89 | 39.130 | ENSGACG00000019003 | nanos3 | 88 | 39.130 | Gasterosteus_aculeatus |
| ENSFDAG00000016342 | NANOS2 | 80 | 44.860 | ENSGACG00000004930 | - | 95 | 44.860 | Gasterosteus_aculeatus |
| ENSFDAG00000016342 | NANOS2 | 60 | 46.988 | ENSGAGG00000015730 | NANOS1 | 65 | 42.857 | Gopherus_agassizii |
| ENSFDAG00000016342 | NANOS2 | 92 | 54.098 | ENSGAGG00000009500 | NANOS2 | 76 | 54.098 | Gopherus_agassizii |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.617 | ENSGAGG00000005591 | - | 73 | 46.617 | Gopherus_agassizii |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.714 | ENSGGOG00000013447 | NANOS2 | 99 | 73.571 | Gorilla_gorilla |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.208 | ENSGGOG00000000964 | NANOS3 | 78 | 40.909 | Gorilla_gorilla |
| ENSFDAG00000016342 | NANOS2 | 95 | 35.762 | ENSHBUG00000016772 | nanos2 | 87 | 34.667 | Haplochromis_burtoni |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.697 | ENSHGLG00000019378 | NANOS3 | 70 | 44.697 | Heterocephalus_glaber_female |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.697 | ENSHGLG00100012652 | NANOS3 | 70 | 44.697 | Heterocephalus_glaber_male |
| ENSFDAG00000016342 | NANOS2 | 93 | 37.931 | ENSHCOG00000014790 | nanos3 | 83 | 37.931 | Hippocampus_comes |
| ENSFDAG00000016342 | NANOS2 | 86 | 40.625 | ENSIPUG00000012246 | - | 70 | 40.625 | Ictalurus_punctatus |
| ENSFDAG00000016342 | NANOS2 | 90 | 41.727 | ENSIPUG00000024113 | nanos2 | 86 | 41.727 | Ictalurus_punctatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 36.620 | ENSIPUG00000007200 | - | 88 | 36.620 | Ictalurus_punctatus |
| ENSFDAG00000016342 | NANOS2 | 54 | 54.795 | ENSIPUG00000008857 | nanos3 | 51 | 47.959 | Ictalurus_punctatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.455 | ENSSTOG00000024797 | NANOS3 | 72 | 46.212 | Ictidomys_tridecemlineatus |
| ENSFDAG00000016342 | NANOS2 | 99 | 81.061 | ENSSTOG00000021724 | NANOS2 | 99 | 81.061 | Ictidomys_tridecemlineatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 41.985 | ENSJJAG00000000545 | Nanos3 | 72 | 41.985 | Jaculus_jaculus |
| ENSFDAG00000016342 | NANOS2 | 89 | 37.226 | ENSLBEG00000018836 | nanos2 | 91 | 37.226 | Labrus_bergylta |
| ENSFDAG00000016342 | NANOS2 | 95 | 37.226 | ENSLACG00000013286 | NANOS3 | 94 | 37.226 | Latimeria_chalumnae |
| ENSFDAG00000016342 | NANOS2 | 92 | 45.223 | ENSLACG00000014980 | - | 89 | 45.223 | Latimeria_chalumnae |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.727 | ENSLAFG00000014090 | NANOS2 | 99 | 72.727 | Loxodonta_africana |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.308 | ENSLAFG00000008480 | NANOS3 | 72 | 45.113 | Loxodonta_africana |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.568 | ENSMFAG00000040009 | NANOS3 | 77 | 42.568 | Macaca_fascicularis |
| ENSFDAG00000016342 | NANOS2 | 99 | 71.429 | ENSMFAG00000017215 | NANOS2 | 99 | 72.143 | Macaca_fascicularis |
| ENSFDAG00000016342 | NANOS2 | 99 | 71.429 | ENSMMUG00000008103 | NANOS2 | 99 | 72.143 | Macaca_mulatta |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.282 | ENSMMUG00000008316 | NANOS3 | 77 | 40.260 | Macaca_mulatta |
| ENSFDAG00000016342 | NANOS2 | 99 | 71.429 | ENSMNEG00000004633 | NANOS2 | 99 | 72.143 | Macaca_nemestrina |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.568 | ENSMNEG00000028898 | NANOS3 | 77 | 42.568 | Macaca_nemestrina |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.000 | ENSMLEG00000033135 | NANOS3 | 74 | 45.522 | Mandrillus_leucophaeus |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.714 | ENSMLEG00000001810 | NANOS2 | 99 | 72.857 | Mandrillus_leucophaeus |
| ENSFDAG00000016342 | NANOS2 | 88 | 39.844 | ENSMAMG00000005577 | NANOS2 | 83 | 39.844 | Mastacembelus_armatus |
| ENSFDAG00000016342 | NANOS2 | 79 | 36.923 | ENSMZEG00005028154 | - | 78 | 35.659 | Maylandia_zebra |
| ENSFDAG00000016342 | NANOS2 | 95 | 35.333 | ENSMZEG00005021987 | - | 87 | 35.333 | Maylandia_zebra |
| ENSFDAG00000016342 | NANOS2 | 79 | 36.923 | ENSMZEG00005024641 | - | 78 | 35.659 | Maylandia_zebra |
| ENSFDAG00000016342 | NANOS2 | 79 | 36.923 | ENSMZEG00005003043 | - | 78 | 35.659 | Maylandia_zebra |
| ENSFDAG00000016342 | NANOS2 | 79 | 36.923 | ENSMZEG00005028148 | - | 78 | 35.659 | Maylandia_zebra |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.617 | ENSMAUG00000008396 | Nanos3 | 72 | 46.617 | Mesocricetus_auratus |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.015 | ENSMICG00000030950 | NANOS3 | 74 | 47.015 | Microcebus_murinus |
| ENSFDAG00000016342 | NANOS2 | 97 | 43.511 | ENSMOCG00000000059 | Nanos3 | 72 | 45.038 | Microtus_ochrogaster |
| ENSFDAG00000016342 | NANOS2 | 99 | 73.485 | ENSMOCG00000001985 | Nanos2 | 99 | 73.485 | Microtus_ochrogaster |
| ENSFDAG00000016342 | NANOS2 | 79 | 40.000 | ENSMMOG00000009827 | nanos2 | 75 | 40.000 | Mola_mola |
| ENSFDAG00000016342 | NANOS2 | 98 | 48.485 | ENSMODG00000023964 | - | 98 | 48.485 | Monodelphis_domestica |
| ENSFDAG00000016342 | NANOS2 | 86 | 47.368 | ENSMALG00000006299 | nanos2 | 75 | 47.368 | Monopterus_albus |
| ENSFDAG00000016342 | NANOS2 | 89 | 39.837 | ENSMALG00000011545 | - | 66 | 39.837 | Monopterus_albus |
| ENSFDAG00000016342 | NANOS2 | 89 | 40.146 | ENSMALG00000005945 | nanos3 | 84 | 40.146 | Monopterus_albus |
| ENSFDAG00000016342 | NANOS2 | 99 | 73.529 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 99 | 73.529 | Mus_caroli |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 72 | 45.802 | Mus_caroli |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.735 | ENSMUSG00000051965 | Nanos2 | 99 | 75.735 | Mus_musculus |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | ENSMUSG00000056155 | Nanos3 | 74 | 45.802 | Mus_musculus |
| ENSFDAG00000016342 | NANOS2 | 99 | 73.529 | MGP_PahariEiJ_G0021123 | Nanos2 | 99 | 73.529 | Mus_pahari |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | MGP_PahariEiJ_G0022902 | Nanos3 | 72 | 45.802 | Mus_pahari |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | MGP_SPRETEiJ_G0032414 | Nanos3 | 72 | 45.802 | Mus_spretus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.735 | MGP_SPRETEiJ_G0030347 | Nanos2 | 99 | 75.735 | Mus_spretus |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.148 | ENSMPUG00000003282 | NANOS3 | 72 | 48.148 | Mustela_putorius_furo |
| ENSFDAG00000016342 | NANOS2 | 99 | 74.286 | ENSMPUG00000019371 | NANOS2 | 99 | 76.429 | Mustela_putorius_furo |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.407 | ENSMLUG00000012971 | NANOS3 | 74 | 47.407 | Myotis_lucifugus |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.094 | ENSNGAG00000020486 | Nanos3 | 72 | 46.094 | Nannospalax_galili |
| ENSFDAG00000016342 | NANOS2 | 96 | 34.524 | ENSNGAG00000023539 | Nanos1 | 81 | 34.524 | Nannospalax_galili |
| ENSFDAG00000016342 | NANOS2 | 79 | 41.905 | ENSNBRG00000018838 | NANOS2 | 64 | 41.905 | Neolamprologus_brichardi |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.269 | ENSNLEG00000034574 | NANOS3 | 74 | 46.923 | Nomascus_leucogenys |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.218 | ENSOPRG00000007211 | - | 74 | 44.218 | Ochotona_princeps |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.922 | ENSOPRG00000010043 | NANOS2 | 99 | 70.922 | Ochotona_princeps |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.875 | ENSODEG00000008907 | NANOS3 | 70 | 46.875 | Octodon_degus |
| ENSFDAG00000016342 | NANOS2 | 85 | 36.691 | ENSONIG00000005777 | nanos2 | 83 | 35.507 | Oreochromis_niloticus |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.118 | ENSOANG00000013042 | - | 96 | 44.118 | Ornithorhynchus_anatinus |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.213 | ENSOCUG00000023755 | NANOS2 | 99 | 71.631 | Oryctolagus_cuniculus |
| ENSFDAG00000016342 | NANOS2 | 97 | 42.754 | ENSOCUG00000014802 | NANOS3 | 76 | 46.324 | Oryctolagus_cuniculus |
| ENSFDAG00000016342 | NANOS2 | 79 | 43.902 | ENSORLG00000009335 | nanos2 | 76 | 43.443 | Oryzias_latipes |
| ENSFDAG00000016342 | NANOS2 | 79 | 45.528 | ENSORLG00020013284 | nanos2 | 76 | 45.082 | Oryzias_latipes_hni |
| ENSFDAG00000016342 | NANOS2 | 79 | 43.089 | ENSORLG00015013150 | nanos2 | 76 | 43.443 | Oryzias_latipes_hsok |
| ENSFDAG00000016342 | NANOS2 | 81 | 41.525 | ENSOMEG00000006512 | nanos2 | 79 | 41.525 | Oryzias_melastigma |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.857 | ENSOGAG00000032290 | NANOS2 | 99 | 75.000 | Otolemur_garnettii |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.522 | ENSOGAG00000007190 | NANOS3 | 73 | 45.522 | Otolemur_garnettii |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSOARG00000011467 | NANOS2 | 99 | 76.429 | Ovis_aries |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.328 | ENSOARG00000008043 | NANOS3 | 71 | 47.328 | Ovis_aries |
| ENSFDAG00000016342 | NANOS2 | 95 | 46.923 | ENSPPAG00000032168 | NANOS3 | 75 | 46.923 | Pan_paniscus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSPPAG00000020568 | NANOS2 | 99 | 75.000 | Pan_paniscus |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.714 | ENSPPRG00000015211 | NANOS2 | 99 | 75.714 | Panthera_pardus |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.275 | ENSPPRG00000009573 | NANOS3 | 74 | 46.212 | Panthera_pardus |
| ENSFDAG00000016342 | NANOS2 | 90 | 73.438 | ENSPTIG00000015372 | NANOS2 | 90 | 73.438 | Panthera_tigris_altaica |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.275 | ENSPTIG00000000325 | NANOS3 | 74 | 46.212 | Panthera_tigris_altaica |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.243 | ENSPTRG00000010568 | NANOS3 | 77 | 43.243 | Pan_troglodytes |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.000 | ENSPTRG00000011172 | NANOS2 | 99 | 75.000 | Pan_troglodytes |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.568 | ENSPANG00000015037 | NANOS3 | 75 | 42.568 | Papio_anubis |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.000 | ENSPANG00000009327 | NANOS2 | 99 | 72.143 | Papio_anubis |
| ENSFDAG00000016342 | NANOS2 | 89 | 34.437 | ENSPKIG00000009354 | nanos3 | 77 | 34.437 | Paramormyrops_kingsleyae |
| ENSFDAG00000016342 | NANOS2 | 89 | 39.844 | ENSPKIG00000006905 | - | 60 | 39.844 | Paramormyrops_kingsleyae |
| ENSFDAG00000016342 | NANOS2 | 84 | 34.586 | ENSPKIG00000006934 | - | 86 | 36.220 | Paramormyrops_kingsleyae |
| ENSFDAG00000016342 | NANOS2 | 95 | 51.969 | ENSPSIG00000007082 | NANOS2 | 95 | 53.125 | Pelodiscus_sinensis |
| ENSFDAG00000016342 | NANOS2 | 57 | 49.367 | ENSPSIG00000000407 | - | 96 | 49.367 | Pelodiscus_sinensis |
| ENSFDAG00000016342 | NANOS2 | 80 | 44.262 | ENSPMGG00000023681 | nanos2 | 70 | 44.262 | Periophthalmus_magnuspinnatus |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.993 | ENSPEMG00000014999 | Nanos2 | 99 | 72.993 | Peromyscus_maniculatus_bairdii |
| ENSFDAG00000016342 | NANOS2 | 83 | 33.803 | ENSPFOG00000020721 | NANOS2 | 84 | 35.556 | Poecilia_formosa |
| ENSFDAG00000016342 | NANOS2 | 57 | 53.247 | ENSPFOG00000020533 | - | 84 | 53.247 | Poecilia_formosa |
| ENSFDAG00000016342 | NANOS2 | 79 | 44.860 | ENSPLAG00000007786 | NANOS2 | 81 | 44.860 | Poecilia_latipinna |
| ENSFDAG00000016342 | NANOS2 | 80 | 44.954 | ENSPMEG00000005681 | NANOS2 | 80 | 44.954 | Poecilia_mexicana |
| ENSFDAG00000016342 | NANOS2 | 79 | 43.810 | ENSPREG00000020465 | nanos2 | 81 | 43.810 | Poecilia_reticulata |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.208 | ENSPPYG00000009627 | NANOS3 | 77 | 40.909 | Pongo_abelii |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.143 | ENSPPYG00000010138 | NANOS2 | 99 | 75.000 | Pongo_abelii |
| ENSFDAG00000016342 | NANOS2 | 99 | 72.857 | ENSPCAG00000005087 | NANOS2 | 99 | 72.857 | Procavia_capensis |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.407 | ENSPCOG00000018814 | NANOS3 | 74 | 47.407 | Propithecus_coquereli |
| ENSFDAG00000016342 | NANOS2 | 99 | 76.429 | ENSPVAG00000001363 | NANOS2 | 99 | 76.429 | Pteropus_vampyrus |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.609 | ENSPVAG00000017538 | NANOS3 | 74 | 45.865 | Pteropus_vampyrus |
| ENSFDAG00000016342 | NANOS2 | 79 | 42.857 | ENSPNYG00000004545 | NANOS2 | 76 | 42.857 | Pundamilia_nyererei |
| ENSFDAG00000016342 | NANOS2 | 95 | 44.094 | ENSPNAG00000002259 | nanos3 | 78 | 44.094 | Pygocentrus_nattereri |
| ENSFDAG00000016342 | NANOS2 | 99 | 77.206 | ENSRNOG00000038088 | Nanos2 | 99 | 77.206 | Rattus_norvegicus |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.511 | ENSRNOG00000031593 | Nanos3 | 72 | 43.511 | Rattus_norvegicus |
| ENSFDAG00000016342 | NANOS2 | 99 | 70.714 | ENSRBIG00000023726 | NANOS2 | 99 | 71.429 | Rhinopithecus_bieti |
| ENSFDAG00000016342 | NANOS2 | 95 | 39.869 | ENSRBIG00000037377 | NANOS3 | 77 | 40.541 | Rhinopithecus_bieti |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.624 | ENSRROG00000032642 | NANOS3 | 78 | 42.953 | Rhinopithecus_roxellana |
| ENSFDAG00000016342 | NANOS2 | 99 | 71.429 | ENSRROG00000014903 | NANOS2 | 99 | 71.429 | Rhinopithecus_roxellana |
| ENSFDAG00000016342 | NANOS2 | 95 | 42.466 | ENSSBOG00000020970 | NANOS3 | 75 | 45.985 | Saimiri_boliviensis_boliviensis |
| ENSFDAG00000016342 | NANOS2 | 98 | 48.872 | ENSSHAG00000010756 | - | 98 | 48.872 | Sarcophilus_harrisii |
| ENSFDAG00000016342 | NANOS2 | 99 | 65.441 | ENSSHAG00000017034 | NANOS2 | 99 | 65.441 | Sarcophilus_harrisii |
| ENSFDAG00000016342 | NANOS2 | 98 | 48.120 | ENSSHAG00000012099 | - | 98 | 48.120 | Sarcophilus_harrisii |
| ENSFDAG00000016342 | NANOS2 | 83 | 39.640 | ENSSFOG00015007586 | - | 80 | 39.640 | Scleropages_formosus |
| ENSFDAG00000016342 | NANOS2 | 91 | 36.986 | ENSSFOG00015013452 | nanos3 | 97 | 36.986 | Scleropages_formosus |
| ENSFDAG00000016342 | NANOS2 | 82 | 34.752 | ENSSMAG00000013915 | nanos2 | 80 | 34.586 | Scophthalmus_maximus |
| ENSFDAG00000016342 | NANOS2 | 82 | 40.152 | ENSSDUG00000016576 | nanos2 | 78 | 40.625 | Seriola_dumerili |
| ENSFDAG00000016342 | NANOS2 | 79 | 37.209 | ENSSLDG00000013795 | nanos2 | 78 | 38.760 | Seriola_lalandi_dorsalis |
| ENSFDAG00000016342 | NANOS2 | 95 | 48.092 | ENSSARG00000008966 | NANOS3 | 72 | 48.092 | Sorex_araneus |
| ENSFDAG00000016342 | NANOS2 | 97 | 43.846 | ENSSPUG00000009826 | NANOS3 | 68 | 43.846 | Sphenodon_punctatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 60.150 | ENSSPUG00000002566 | NANOS2 | 99 | 57.639 | Sphenodon_punctatus |
| ENSFDAG00000016342 | NANOS2 | 87 | 36.765 | ENSSPAG00000003887 | nanos2 | 83 | 37.984 | Stegastes_partitus |
| ENSFDAG00000016342 | NANOS2 | 99 | 73.571 | ENSSSCG00000003096 | NANOS2 | 99 | 73.571 | Sus_scrofa |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.407 | ENSSSCG00000013759 | NANOS3 | 74 | 47.407 | Sus_scrofa |
| ENSFDAG00000016342 | NANOS2 | 83 | 38.739 | ENSTRUG00000017633 | nanos2 | 82 | 39.450 | Takifugu_rubripes |
| ENSFDAG00000016342 | NANOS2 | 86 | 44.186 | ENSTNIG00000014063 | nanos3 | 91 | 44.186 | Tetraodon_nigroviridis |
| ENSFDAG00000016342 | NANOS2 | 83 | 42.276 | ENSTNIG00000010543 | - | 88 | 42.276 | Tetraodon_nigroviridis |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.328 | ENSTBEG00000013729 | NANOS3 | 84 | 47.328 | Tupaia_belangeri |
| ENSFDAG00000016342 | NANOS2 | 99 | 74.286 | ENSTTRG00000014315 | NANOS2 | 99 | 74.286 | Tursiops_truncatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 43.939 | ENSTTRG00000008361 | NANOS3 | 76 | 46.212 | Tursiops_truncatus |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | ENSUAMG00000006804 | NANOS3 | 75 | 47.015 | Ursus_americanus |
| ENSFDAG00000016342 | NANOS2 | 99 | 73.427 | ENSUAMG00000023170 | NANOS2 | 99 | 76.429 | Ursus_americanus |
| ENSFDAG00000016342 | NANOS2 | 98 | 61.702 | ENSUMAG00000023699 | NANOS2 | 85 | 64.493 | Ursus_maritimus |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.802 | ENSUMAG00000004703 | NANOS3 | 73 | 47.015 | Ursus_maritimus |
| ENSFDAG00000016342 | NANOS2 | 95 | 47.328 | ENSVPAG00000011497 | NANOS3 | 75 | 47.328 | Vicugna_pacos |
| ENSFDAG00000016342 | NANOS2 | 95 | 45.038 | ENSVVUG00000026757 | NANOS3 | 75 | 46.970 | Vulpes_vulpes |
| ENSFDAG00000016342 | NANOS2 | 99 | 75.714 | ENSVVUG00000002993 | NANOS2 | 99 | 75.714 | Vulpes_vulpes |
| ENSFDAG00000016342 | NANOS2 | 96 | 42.446 | ENSXETG00000014552 | NANOS2 | 97 | 42.446 | Xenopus_tropicalis |
| ENSFDAG00000016342 | NANOS2 | 96 | 41.259 | ENSXETG00000021874 | nanos3 | 97 | 41.259 | Xenopus_tropicalis |
| ENSFDAG00000016342 | NANOS2 | 80 | 43.519 | ENSXETG00000024565 | nanos1 | 84 | 43.519 | Xenopus_tropicalis |
| ENSFDAG00000016342 | NANOS2 | 83 | 35.461 | ENSXMAG00000020157 | - | 65 | 36.170 | Xiphophorus_maculatus |