| Protein ID | Domain | Pfam ID | E-value | Domain number | Total number |
|---|---|---|---|---|---|
| ENSOGAP00000017315 | zf-nanos | PF05741.13 | 1.5e-25 | 1 | 1 |
| Transcript ID | Name | Length | RefSeq ID | Protein ID | Length | RefSeq ID | UniportKB ID |
|---|---|---|---|---|---|---|---|
| ENSOGAT00000033986 | NANOS2-201 | 417 | - | ENSOGAP00000017315 | 138 (aa) | XP_003799578 | H0XMH4 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Paralog | Gene Symbol | Coverage | Identiy |
|---|---|---|---|---|---|---|---|
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSOGAG00000007190 | NANOS3 | 74 | 46.269 |
| Ensembl ID | Gene Symbol | Coverage | Identiy | Ortholog | Gene Symbol | Coverage | Identiy | Species |
|---|---|---|---|---|---|---|---|---|
| ENSOGAG00000032290 | NANOS2 | 100 | 84.058 | ENSG00000188425 | NANOS2 | 100 | 84.058 | Homo_sapiens |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSG00000187556 | NANOS3 | 76 | 48.507 | Homo_sapiens |
| ENSOGAG00000032290 | NANOS2 | 84 | 38.806 | ENSAPOG00000020274 | nanos2 | 80 | 37.313 | Acanthochromis_polyacanthus |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSAMEG00000012972 | NANOS3 | 75 | 50.000 | Ailuropoda_melanoleuca |
| ENSOGAG00000032290 | NANOS2 | 96 | 40.741 | ENSACIG00000007105 | nanos2 | 82 | 40.602 | Amphilophus_citrinellus |
| ENSOGAG00000032290 | NANOS2 | 80 | 42.857 | ENSAOCG00000009429 | nanos2 | 75 | 43.966 | Amphiprion_ocellaris |
| ENSOGAG00000032290 | NANOS2 | 80 | 41.935 | ENSAPEG00000019139 | nanos2 | 76 | 41.322 | Amphiprion_percula |
| ENSOGAG00000032290 | NANOS2 | 85 | 39.394 | ENSATEG00000009393 | nanos2 | 84 | 38.686 | Anabas_testudineus |
| ENSOGAG00000032290 | NANOS2 | 97 | 51.111 | ENSACAG00000025452 | - | 97 | 51.449 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000025260 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 51.389 | ENSACAG00000022088 | - | 100 | 51.429 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 97 | 50.370 | ENSACAG00000026660 | - | 97 | 50.725 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000026478 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 55 | 45.455 | ENSACAG00000027867 | - | 95 | 45.455 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000025307 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000026679 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000023650 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000026317 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000022675 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000027728 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSACAG00000028048 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 52.555 | ENSACAG00000023813 | - | 97 | 51.128 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 48.571 | ENSACAG00000024218 | - | 100 | 49.306 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 99 | 49.640 | ENSACAG00000022918 | - | 99 | 50.350 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000022322 | - | 100 | 49.286 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSACAG00000022321 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.120 | ENSACAG00000022790 | - | 97 | 48.120 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSACAG00000025632 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000027196 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000010268 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024995 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000023391 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000023855 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 51.429 | ENSACAG00000027983 | - | 100 | 51.429 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000023774 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 51.389 | ENSACAG00000026716 | - | 100 | 51.429 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000027440 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 97 | 51.111 | ENSACAG00000005197 | - | 97 | 51.449 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000021948 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSACAG00000014502 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000023823 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000024504 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 52.632 | ENSACAG00000022207 | - | 97 | 52.632 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.872 | ENSACAG00000022861 | - | 97 | 49.635 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024972 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.128 | ENSACAG00000024003 | - | 97 | 51.128 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000026914 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000026771 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000025655 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000023803 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 97 | 51.111 | ENSACAG00000026350 | - | 97 | 51.449 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000027995 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.694 | ENSACAG00000024434 | - | 100 | 50.714 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000017474 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 97 | 51.111 | ENSACAG00000027568 | - | 97 | 51.449 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000027212 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024274 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024639 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000023428 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000022041 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 51.389 | ENSACAG00000022236 | - | 100 | 50.714 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000025556 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000025093 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000026757 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 49.286 | ENSACAG00000025044 | - | 100 | 49.286 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.376 | ENSACAG00000024370 | - | 97 | 51.095 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 51.429 | ENSACAG00000023519 | - | 100 | 51.429 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000026334 | - | 100 | 50.000 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.694 | ENSACAG00000025729 | - | 100 | 50.714 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000027265 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.128 | ENSACAG00000024432 | - | 97 | 51.128 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 52.143 | ENSACAG00000026819 | - | 100 | 52.143 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 97 | 51.111 | ENSACAG00000024524 | - | 97 | 51.449 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024568 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 100 | 50.000 | ENSACAG00000024364 | - | 100 | 50.694 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSACAG00000025505 | - | 97 | 51.880 | Anolis_carolinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSANAG00000025042 | NANOS3 | 78 | 46.099 | Aotus_nancymaae |
| ENSOGAG00000032290 | NANOS2 | 80 | 40.000 | ENSACLG00000027005 | nanos2 | 67 | 40.000 | Astatotilapia_calliptera |
| ENSOGAG00000032290 | NANOS2 | 100 | 86.232 | ENSBTAG00000047505 | NANOS2 | 100 | 86.232 | Bos_taurus |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSBTAG00000000399 | NANOS3 | 76 | 47.761 | Bos_taurus |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.763 | ENSCJAG00000004388 | NANOS3 | 77 | 46.809 | Callithrix_jacchus |
| ENSOGAG00000032290 | NANOS2 | 99 | 81.022 | ENSCJAG00000012141 | NANOS2 | 97 | 81.022 | Callithrix_jacchus |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSCAFG00000016592 | NANOS3 | 68 | 48.507 | Canis_familiaris |
| ENSOGAG00000032290 | NANOS2 | 100 | 87.681 | ENSCAFG00000024541 | NANOS2 | 100 | 87.681 | Canis_familiaris |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSCAFG00020006694 | NANOS3 | 68 | 48.507 | Canis_lupus_dingo |
| ENSOGAG00000032290 | NANOS2 | 100 | 87.681 | ENSCAFG00020001772 | NANOS2 | 100 | 87.681 | Canis_lupus_dingo |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSCHIG00000007837 | NANOS3 | 74 | 47.761 | Capra_hircus |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSCHIG00000012637 | NANOS2 | 100 | 85.507 | Capra_hircus |
| ENSOGAG00000032290 | NANOS2 | 57 | 93.671 | ENSTSYG00000028873 | NANOS2 | 57 | 93.590 | Carlito_syrichta |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.148 | ENSTSYG00000026709 | NANOS3 | 75 | 48.148 | Carlito_syrichta |
| ENSOGAG00000032290 | NANOS2 | 96 | 49.254 | ENSCAPG00000014339 | NANOS3 | 83 | 47.015 | Cavia_aperea |
| ENSOGAG00000032290 | NANOS2 | 99 | 75.912 | ENSCAPG00000016771 | NANOS2 | 99 | 73.723 | Cavia_aperea |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.857 | ENSCPOG00000020727 | NANOS3 | 75 | 45.714 | Cavia_porcellus |
| ENSOGAG00000032290 | NANOS2 | 99 | 75.912 | ENSCPOG00000014969 | NANOS2 | 99 | 73.723 | Cavia_porcellus |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSCCAG00000036253 | NANOS3 | 75 | 48.507 | Cebus_capucinus |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.581 | ENSCATG00000034885 | NANOS3 | 78 | 41.935 | Cercocebus_atys |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSCATG00000018951 | NANOS2 | 100 | 84.783 | Cercocebus_atys |
| ENSOGAG00000032290 | NANOS2 | 99 | 72.993 | ENSCLAG00000001832 | NANOS2 | 99 | 72.263 | Chinchilla_lanigera |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.445 | ENSCLAG00000015139 | NANOS3 | 74 | 47.143 | Chinchilla_lanigera |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSCSAG00000019629 | NANOS2 | 100 | 85.507 | Chlorocebus_sabaeus |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.138 | ENSCSAG00000006428 | NANOS3 | 79 | 40.881 | Chlorocebus_sabaeus |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.058 | ENSCHOG00000001937 | NANOS2 | 100 | 84.058 | Choloepus_hoffmanni |
| ENSOGAG00000032290 | NANOS2 | 98 | 40.441 | ENSCPBG00000023819 | NANOS3 | 95 | 40.441 | Chrysemys_picta_bellii |
| ENSOGAG00000032290 | NANOS2 | 55 | 46.835 | ENSCPBG00000002172 | NANOS1 | 65 | 46.835 | Chrysemys_picta_bellii |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.128 | ENSCPBG00000007141 | NANOS2 | 87 | 51.128 | Chrysemys_picta_bellii |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSCANG00000012014 | NANOS2 | 100 | 84.783 | Colobus_angolensis_palliatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 49.254 | ENSCANG00000034930 | NANOS3 | 76 | 48.507 | Colobus_angolensis_palliatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSCGRG00001023851 | Nanos3 | 75 | 46.269 | Cricetulus_griseus_chok1gshd |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.188 | ENSCGRG00001013726 | Nanos2 | 100 | 73.188 | Cricetulus_griseus_chok1gshd |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSCGRG00000017734 | Nanos3 | 73 | 47.015 | Cricetulus_griseus_crigri |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.188 | ENSCGRG00000019170 | Nanos2 | 100 | 73.188 | Cricetulus_griseus_crigri |
| ENSOGAG00000032290 | NANOS2 | 80 | 38.281 | ENSCSEG00000017157 | nanos2 | 77 | 36.290 | Cynoglossus_semilaevis |
| ENSOGAG00000032290 | NANOS2 | 55 | 48.684 | ENSCVAG00000019077 | - | 87 | 30.178 | Cyprinodon_variegatus |
| ENSOGAG00000032290 | NANOS2 | 80 | 47.273 | ENSCVAG00000006947 | nanos2 | 86 | 45.312 | Cyprinodon_variegatus |
| ENSOGAG00000032290 | NANOS2 | 80 | 37.815 | ENSDARG00000116802 | nanos2 | 82 | 39.024 | Danio_rerio |
| ENSOGAG00000032290 | NANOS2 | 88 | 36.296 | ENSDARG00000068255 | nanos3 | 77 | 37.398 | Danio_rerio |
| ENSOGAG00000032290 | NANOS2 | 100 | 83.333 | ENSDNOG00000044718 | NANOS2 | 100 | 83.333 | Dasypus_novemcinctus |
| ENSOGAG00000032290 | NANOS2 | 100 | 88.406 | ENSEASG00005014235 | NANOS2 | 100 | 88.406 | Equus_asinus_asinus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSEASG00005015313 | NANOS3 | 78 | 47.761 | Equus_asinus_asinus |
| ENSOGAG00000032290 | NANOS2 | 100 | 88.406 | ENSECAG00000006033 | NANOS2 | 100 | 88.406 | Equus_caballus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSECAG00000016293 | NANOS3 | 74 | 47.761 | Equus_caballus |
| ENSOGAG00000032290 | NANOS2 | 100 | 78.986 | ENSEEUG00000009930 | NANOS2 | 100 | 78.986 | Erinaceus_europaeus |
| ENSOGAG00000032290 | NANOS2 | 96 | 43.312 | ENSEEUG00000009900 | NANOS3 | 87 | 44.521 | Erinaceus_europaeus |
| ENSOGAG00000032290 | NANOS2 | 80 | 37.857 | ENSELUG00000016082 | nanos3 | 82 | 38.235 | Esox_lucius |
| ENSOGAG00000032290 | NANOS2 | 86 | 40.984 | ENSELUG00000019091 | - | 82 | 42.623 | Esox_lucius |
| ENSOGAG00000032290 | NANOS2 | 80 | 40.000 | ENSELUG00000016582 | - | 76 | 39.259 | Esox_lucius |
| ENSOGAG00000032290 | NANOS2 | 100 | 86.232 | ENSFCAG00000027661 | NANOS2 | 100 | 86.232 | Felis_catus |
| ENSOGAG00000032290 | NANOS2 | 93 | 41.045 | ENSFCAG00000003717 | NANOS3 | 73 | 42.188 | Felis_catus |
| ENSOGAG00000032290 | NANOS2 | 50 | 48.571 | ENSFALG00000006160 | NANOS3 | 80 | 46.269 | Ficedula_albicollis |
| ENSOGAG00000032290 | NANOS2 | 99 | 75.000 | ENSFDAG00000016342 | NANOS2 | 99 | 72.857 | Fukomys_damarensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.059 | ENSFDAG00000018459 | NANOS3 | 74 | 45.714 | Fukomys_damarensis |
| ENSOGAG00000032290 | NANOS2 | 88 | 36.667 | ENSFHEG00000017084 | - | 82 | 37.415 | Fundulus_heteroclitus |
| ENSOGAG00000032290 | NANOS2 | 93 | 38.462 | ENSFHEG00000012835 | NANOS2 | 85 | 45.045 | Fundulus_heteroclitus |
| ENSOGAG00000032290 | NANOS2 | 66 | 48.421 | ENSGMOG00000016541 | nanos3 | 54 | 65.455 | Gadus_morhua |
| ENSOGAG00000032290 | NANOS2 | 55 | 50.649 | ENSGMOG00000020465 | nanos1 | 84 | 50.649 | Gadus_morhua |
| ENSOGAG00000032290 | NANOS2 | 81 | 40.708 | ENSGMOG00000015980 | - | 96 | 40.708 | Gadus_morhua |
| ENSOGAG00000032290 | NANOS2 | 80 | 42.727 | ENSGAFG00000006000 | - | 66 | 43.636 | Gambusia_affinis |
| ENSOGAG00000032290 | NANOS2 | 90 | 40.288 | ENSGACG00000019003 | nanos3 | 88 | 39.130 | Gasterosteus_aculeatus |
| ENSOGAG00000032290 | NANOS2 | 55 | 53.247 | ENSGACG00000016692 | - | 84 | 53.247 | Gasterosteus_aculeatus |
| ENSOGAG00000032290 | NANOS2 | 81 | 37.302 | ENSGACG00000004930 | - | 95 | 39.286 | Gasterosteus_aculeatus |
| ENSOGAG00000032290 | NANOS2 | 95 | 43.939 | ENSGAGG00000005591 | - | 73 | 43.939 | Gopherus_agassizii |
| ENSOGAG00000032290 | NANOS2 | 92 | 50.394 | ENSGAGG00000009500 | NANOS2 | 76 | 50.394 | Gopherus_agassizii |
| ENSOGAG00000032290 | NANOS2 | 100 | 83.333 | ENSGGOG00000013447 | NANOS2 | 100 | 83.333 | Gorilla_gorilla |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.949 | ENSGGOG00000000964 | NANOS3 | 79 | 42.949 | Gorilla_gorilla |
| ENSOGAG00000032290 | NANOS2 | 95 | 35.256 | ENSHBUG00000016772 | nanos2 | 87 | 37.333 | Haplochromis_burtoni |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.857 | ENSHGLG00000019378 | NANOS3 | 71 | 47.857 | Heterocephalus_glaber_female |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.857 | ENSHGLG00100012652 | NANOS3 | 71 | 47.857 | Heterocephalus_glaber_male |
| ENSOGAG00000032290 | NANOS2 | 95 | 38.776 | ENSHCOG00000014790 | nanos3 | 76 | 39.823 | Hippocampus_comes |
| ENSOGAG00000032290 | NANOS2 | 55 | 45.679 | ENSHCOG00000011423 | - | 57 | 33.824 | Hippocampus_comes |
| ENSOGAG00000032290 | NANOS2 | 91 | 40.288 | ENSIPUG00000024113 | nanos2 | 86 | 38.849 | Ictalurus_punctatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 35.616 | ENSIPUG00000007200 | - | 88 | 35.172 | Ictalurus_punctatus |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.585 | ENSIPUG00000012246 | - | 65 | 36.066 | Ictalurus_punctatus |
| ENSOGAG00000032290 | NANOS2 | 100 | 76.087 | ENSSTOG00000021724 | NANOS2 | 100 | 75.362 | Ictidomys_tridecemlineatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.889 | ENSSTOG00000024797 | NANOS3 | 73 | 48.889 | Ictidomys_tridecemlineatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 45.985 | ENSJJAG00000000545 | Nanos3 | 73 | 44.526 | Jaculus_jaculus |
| ENSOGAG00000032290 | NANOS2 | 90 | 39.416 | ENSLBEG00000018836 | nanos2 | 91 | 38.686 | Labrus_bergylta |
| ENSOGAG00000032290 | NANOS2 | 96 | 39.161 | ENSLACG00000013286 | NANOS3 | 95 | 38.356 | Latimeria_chalumnae |
| ENSOGAG00000032290 | NANOS2 | 92 | 43.210 | ENSLACG00000014980 | - | 89 | 43.949 | Latimeria_chalumnae |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.269 | ENSLAFG00000008480 | NANOS3 | 73 | 46.269 | Loxodonta_africana |
| ENSOGAG00000032290 | NANOS2 | 100 | 81.560 | ENSLAFG00000014090 | NANOS2 | 100 | 80.851 | Loxodonta_africana |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSMFAG00000017215 | NANOS2 | 100 | 85.507 | Macaca_fascicularis |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.763 | ENSMFAG00000040009 | NANOS3 | 78 | 42.763 | Macaca_fascicularis |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSMMUG00000008103 | NANOS2 | 100 | 85.507 | Macaca_mulatta |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.484 | ENSMMUG00000008316 | NANOS3 | 78 | 42.484 | Macaca_mulatta |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSMNEG00000004633 | NANOS2 | 100 | 85.507 | Macaca_nemestrina |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.763 | ENSMNEG00000028898 | NANOS3 | 78 | 42.763 | Macaca_nemestrina |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSMLEG00000033135 | NANOS3 | 75 | 47.015 | Mandrillus_leucophaeus |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSMLEG00000001810 | NANOS2 | 100 | 84.783 | Mandrillus_leucophaeus |
| ENSOGAG00000032290 | NANOS2 | 88 | 39.683 | ENSMAMG00000005577 | NANOS2 | 83 | 39.683 | Mastacembelus_armatus |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.296 | ENSMZEG00005028148 | - | 78 | 38.760 | Maylandia_zebra |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.296 | ENSMZEG00005003043 | - | 78 | 38.760 | Maylandia_zebra |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.296 | ENSMZEG00005024641 | - | 78 | 38.760 | Maylandia_zebra |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.296 | ENSMZEG00005028154 | - | 78 | 38.760 | Maylandia_zebra |
| ENSOGAG00000032290 | NANOS2 | 95 | 37.086 | ENSMZEG00005021987 | - | 87 | 37.333 | Maylandia_zebra |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSMAUG00000008396 | Nanos3 | 73 | 47.761 | Mesocricetus_auratus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSMICG00000030950 | NANOS3 | 75 | 47.761 | Microcebus_murinus |
| ENSOGAG00000032290 | NANOS2 | 96 | 44.286 | ENSMOCG00000000059 | Nanos3 | 73 | 47.015 | Microtus_ochrogaster |
| ENSOGAG00000032290 | NANOS2 | 100 | 71.942 | ENSMOCG00000001985 | Nanos2 | 100 | 71.014 | Microtus_ochrogaster |
| ENSOGAG00000032290 | NANOS2 | 80 | 42.609 | ENSMMOG00000009827 | nanos2 | 75 | 38.261 | Mola_mola |
| ENSOGAG00000032290 | NANOS2 | 99 | 46.809 | ENSMODG00000023964 | - | 98 | 46.377 | Monodelphis_domestica |
| ENSOGAG00000032290 | NANOS2 | 90 | 35.766 | ENSMALG00000005945 | nanos3 | 84 | 35.766 | Monopterus_albus |
| ENSOGAG00000032290 | NANOS2 | 90 | 44.531 | ENSMALG00000006299 | nanos2 | 82 | 44.531 | Monopterus_albus |
| ENSOGAG00000032290 | NANOS2 | 89 | 36.641 | ENSMALG00000011545 | - | 66 | 36.641 | Monopterus_albus |
| ENSOGAG00000032290 | NANOS2 | 96 | 45.522 | MGP_CAROLIEiJ_G0031296 | Nanos3 | 73 | 45.522 | Mus_caroli |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.381 | MGP_CAROLIEiJ_G0029263 | Nanos2 | 100 | 73.188 | Mus_caroli |
| ENSOGAG00000032290 | NANOS2 | 96 | 45.522 | ENSMUSG00000056155 | Nanos3 | 75 | 45.522 | Mus_musculus |
| ENSOGAG00000032290 | NANOS2 | 100 | 75.362 | ENSMUSG00000051965 | Nanos2 | 100 | 74.638 | Mus_musculus |
| ENSOGAG00000032290 | NANOS2 | 96 | 45.522 | MGP_PahariEiJ_G0022902 | Nanos3 | 73 | 45.522 | Mus_pahari |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.188 | MGP_PahariEiJ_G0021123 | Nanos2 | 100 | 73.188 | Mus_pahari |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.913 | MGP_SPRETEiJ_G0030347 | Nanos2 | 100 | 73.913 | Mus_spretus |
| ENSOGAG00000032290 | NANOS2 | 96 | 45.522 | MGP_SPRETEiJ_G0032414 | Nanos3 | 73 | 45.522 | Mus_spretus |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSMPUG00000003282 | NANOS3 | 73 | 50.000 | Mustela_putorius_furo |
| ENSOGAG00000032290 | NANOS2 | 100 | 86.232 | ENSMPUG00000019371 | NANOS2 | 100 | 86.232 | Mustela_putorius_furo |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSMLUG00000012971 | NANOS3 | 75 | 48.507 | Myotis_lucifugus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSNGAG00000020486 | Nanos3 | 73 | 47.761 | Nannospalax_galili |
| ENSOGAG00000032290 | NANOS2 | 96 | 32.143 | ENSNGAG00000023539 | Nanos1 | 81 | 30.952 | Nannospalax_galili |
| ENSOGAG00000032290 | NANOS2 | 80 | 40.909 | ENSNBRG00000018838 | NANOS2 | 64 | 40.909 | Neolamprologus_brichardi |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSNLEG00000034574 | NANOS3 | 75 | 48.507 | Nomascus_leucogenys |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.309 | ENSOPRG00000007211 | - | 75 | 46.309 | Ochotona_princeps |
| ENSOGAG00000032290 | NANOS2 | 100 | 73.239 | ENSOPRG00000010043 | NANOS2 | 100 | 73.239 | Ochotona_princeps |
| ENSOGAG00000032290 | NANOS2 | 96 | 49.254 | ENSODEG00000008907 | NANOS3 | 71 | 47.761 | Octodon_degus |
| ENSOGAG00000032290 | NANOS2 | 80 | 37.037 | ENSONIG00000005777 | nanos2 | 78 | 39.535 | Oreochromis_niloticus |
| ENSOGAG00000032290 | NANOS2 | 96 | 41.912 | ENSOANG00000013042 | - | 96 | 41.912 | Ornithorhynchus_anatinus |
| ENSOGAG00000032290 | NANOS2 | 100 | 80.576 | ENSOCUG00000023755 | NANOS2 | 100 | 80.576 | Oryctolagus_cuniculus |
| ENSOGAG00000032290 | NANOS2 | 96 | 49.635 | ENSOCUG00000014802 | NANOS3 | 77 | 49.635 | Oryctolagus_cuniculus |
| ENSOGAG00000032290 | NANOS2 | 80 | 43.697 | ENSORLG00000009335 | nanos2 | 76 | 42.373 | Oryzias_latipes |
| ENSOGAG00000032290 | NANOS2 | 80 | 44.538 | ENSORLG00020013284 | nanos2 | 76 | 43.220 | Oryzias_latipes_hni |
| ENSOGAG00000032290 | NANOS2 | 80 | 43.220 | ENSORLG00015013150 | nanos2 | 76 | 42.373 | Oryzias_latipes_hsok |
| ENSOGAG00000032290 | NANOS2 | 82 | 44.068 | ENSOMEG00000006512 | nanos2 | 79 | 42.623 | Oryzias_melastigma |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSOARG00000008043 | NANOS3 | 72 | 47.015 | Ovis_aries |
| ENSOGAG00000032290 | NANOS2 | 100 | 85.507 | ENSOARG00000011467 | NANOS2 | 100 | 85.507 | Ovis_aries |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.058 | ENSPPAG00000020568 | NANOS2 | 100 | 84.058 | Pan_paniscus |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSPPAG00000032168 | NANOS3 | 76 | 48.507 | Pan_paniscus |
| ENSOGAG00000032290 | NANOS2 | 100 | 86.232 | ENSPPRG00000015211 | NANOS2 | 100 | 86.232 | Panthera_pardus |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.429 | ENSPPRG00000009573 | NANOS3 | 75 | 47.761 | Panthera_pardus |
| ENSOGAG00000032290 | NANOS2 | 91 | 84.800 | ENSPTIG00000015372 | NANOS2 | 90 | 84.800 | Panthera_tigris_altaica |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.429 | ENSPTIG00000000325 | NANOS3 | 75 | 47.761 | Panthera_tigris_altaica |
| ENSOGAG00000032290 | NANOS2 | 96 | 43.421 | ENSPTRG00000010568 | NANOS3 | 78 | 43.421 | Pan_troglodytes |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.058 | ENSPTRG00000011172 | NANOS2 | 100 | 84.058 | Pan_troglodytes |
| ENSOGAG00000032290 | NANOS2 | 96 | 43.333 | ENSPANG00000015037 | NANOS3 | 76 | 42.763 | Papio_anubis |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSPANG00000009327 | NANOS2 | 100 | 84.783 | Papio_anubis |
| ENSOGAG00000032290 | NANOS2 | 90 | 33.121 | ENSPKIG00000009354 | nanos3 | 77 | 33.121 | Paramormyrops_kingsleyae |
| ENSOGAG00000032290 | NANOS2 | 85 | 36.220 | ENSPKIG00000006934 | - | 86 | 36.220 | Paramormyrops_kingsleyae |
| ENSOGAG00000032290 | NANOS2 | 92 | 40.769 | ENSPKIG00000006905 | - | 62 | 40.769 | Paramormyrops_kingsleyae |
| ENSOGAG00000032290 | NANOS2 | 55 | 46.835 | ENSPSIG00000000407 | - | 96 | 46.835 | Pelodiscus_sinensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 51.880 | ENSPSIG00000007082 | NANOS2 | 96 | 52.632 | Pelodiscus_sinensis |
| ENSOGAG00000032290 | NANOS2 | 86 | 44.186 | ENSPMGG00000023681 | nanos2 | 74 | 42.188 | Periophthalmus_magnuspinnatus |
| ENSOGAG00000032290 | NANOS2 | 100 | 77.536 | ENSPEMG00000014999 | Nanos2 | 100 | 74.638 | Peromyscus_maniculatus_bairdii |
| ENSOGAG00000032290 | NANOS2 | 55 | 51.948 | ENSPFOG00000020533 | - | 84 | 51.948 | Poecilia_formosa |
| ENSOGAG00000032290 | NANOS2 | 80 | 36.765 | ENSPFOG00000020721 | NANOS2 | 84 | 35.556 | Poecilia_formosa |
| ENSOGAG00000032290 | NANOS2 | 80 | 43.636 | ENSPLAG00000007786 | NANOS2 | 81 | 40.171 | Poecilia_latipinna |
| ENSOGAG00000032290 | NANOS2 | 81 | 43.750 | ENSPMEG00000005681 | NANOS2 | 80 | 40.336 | Poecilia_mexicana |
| ENSOGAG00000032290 | NANOS2 | 80 | 42.727 | ENSPREG00000020465 | nanos2 | 81 | 41.818 | Poecilia_reticulata |
| ENSOGAG00000032290 | NANOS2 | 96 | 42.949 | ENSPPYG00000009627 | NANOS3 | 78 | 41.772 | Pongo_abelii |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSPPYG00000010138 | NANOS2 | 100 | 84.783 | Pongo_abelii |
| ENSOGAG00000032290 | NANOS2 | 100 | 82.609 | ENSPCAG00000005087 | NANOS2 | 100 | 82.609 | Procavia_capensis |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSPCOG00000018814 | NANOS3 | 75 | 47.761 | Propithecus_coquereli |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.761 | ENSPVAG00000017538 | NANOS3 | 75 | 47.761 | Pteropus_vampyrus |
| ENSOGAG00000032290 | NANOS2 | 100 | 87.681 | ENSPVAG00000001363 | NANOS2 | 100 | 87.681 | Pteropus_vampyrus |
| ENSOGAG00000032290 | NANOS2 | 80 | 44.545 | ENSPNYG00000004545 | NANOS2 | 76 | 42.727 | Pundamilia_nyererei |
| ENSOGAG00000032290 | NANOS2 | 95 | 41.481 | ENSPNAG00000002259 | nanos3 | 78 | 40.876 | Pygocentrus_nattereri |
| ENSOGAG00000032290 | NANOS2 | 100 | 76.259 | ENSRNOG00000038088 | Nanos2 | 100 | 72.464 | Rattus_norvegicus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSRNOG00000031593 | Nanos3 | 73 | 47.015 | Rattus_norvegicus |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.783 | ENSRBIG00000023726 | NANOS2 | 100 | 84.783 | Rhinopithecus_bieti |
| ENSOGAG00000032290 | NANOS2 | 96 | 43.421 | ENSRBIG00000037377 | NANOS3 | 79 | 43.421 | Rhinopithecus_bieti |
| ENSOGAG00000032290 | NANOS2 | 96 | 43.709 | ENSRROG00000032642 | NANOS3 | 79 | 43.137 | Rhinopithecus_roxellana |
| ENSOGAG00000032290 | NANOS2 | 100 | 84.058 | ENSRROG00000014903 | NANOS2 | 100 | 84.058 | Rhinopithecus_roxellana |
| ENSOGAG00000032290 | NANOS2 | 96 | 44.828 | ENSSBOG00000020970 | NANOS3 | 76 | 47.518 | Saimiri_boliviensis_boliviensis |
| ENSOGAG00000032290 | NANOS2 | 99 | 48.551 | ENSSHAG00000010756 | - | 98 | 47.101 | Sarcophilus_harrisii |
| ENSOGAG00000032290 | NANOS2 | 99 | 45.652 | ENSSHAG00000012099 | - | 98 | 44.203 | Sarcophilus_harrisii |
| ENSOGAG00000032290 | NANOS2 | 100 | 67.626 | ENSSHAG00000017034 | NANOS2 | 100 | 68.345 | Sarcophilus_harrisii |
| ENSOGAG00000032290 | NANOS2 | 81 | 38.393 | ENSSFOG00015007586 | - | 77 | 37.500 | Scleropages_formosus |
| ENSOGAG00000032290 | NANOS2 | 91 | 36.054 | ENSSFOG00015013452 | nanos3 | 97 | 34.247 | Scleropages_formosus |
| ENSOGAG00000032290 | NANOS2 | 80 | 38.760 | ENSSMAG00000013915 | nanos2 | 77 | 38.760 | Scophthalmus_maximus |
| ENSOGAG00000032290 | NANOS2 | 80 | 39.844 | ENSSDUG00000016576 | nanos2 | 78 | 39.062 | Seriola_dumerili |
| ENSOGAG00000032290 | NANOS2 | 80 | 39.535 | ENSSLDG00000013795 | nanos2 | 78 | 38.760 | Seriola_lalandi_dorsalis |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSSARG00000008966 | NANOS3 | 73 | 47.015 | Sorex_araneus |
| ENSOGAG00000032290 | NANOS2 | 99 | 40.690 | ENSSPUG00000009826 | NANOS3 | 70 | 40.876 | Sphenodon_punctatus |
| ENSOGAG00000032290 | NANOS2 | 100 | 54.483 | ENSSPUG00000002566 | NANOS2 | 100 | 54.483 | Sphenodon_punctatus |
| ENSOGAG00000032290 | NANOS2 | 80 | 40.800 | ENSSPAG00000003887 | nanos2 | 81 | 40.800 | Stegastes_partitus |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSSSCG00000013759 | NANOS3 | 75 | 47.015 | Sus_scrofa |
| ENSOGAG00000032290 | NANOS2 | 100 | 87.681 | ENSSSCG00000003096 | NANOS2 | 100 | 87.681 | Sus_scrofa |
| ENSOGAG00000032290 | NANOS2 | 80 | 39.640 | ENSTRUG00000017633 | nanos2 | 80 | 42.342 | Takifugu_rubripes |
| ENSOGAG00000032290 | NANOS2 | 83 | 37.405 | ENSTNIG00000010543 | - | 88 | 38.211 | Tetraodon_nigroviridis |
| ENSOGAG00000032290 | NANOS2 | 86 | 40.310 | ENSTNIG00000014063 | nanos3 | 84 | 39.370 | Tetraodon_nigroviridis |
| ENSOGAG00000032290 | NANOS2 | 96 | 47.015 | ENSTBEG00000013729 | NANOS3 | 86 | 47.015 | Tupaia_belangeri |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.269 | ENSTTRG00000008361 | NANOS3 | 78 | 47.761 | Tursiops_truncatus |
| ENSOGAG00000032290 | NANOS2 | 100 | 86.957 | ENSTTRG00000014315 | NANOS2 | 100 | 86.957 | Tursiops_truncatus |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSUAMG00000006804 | NANOS3 | 75 | 50.000 | Ursus_americanus |
| ENSOGAG00000032290 | NANOS2 | 100 | 89.130 | ENSUAMG00000023170 | NANOS2 | 100 | 89.130 | Ursus_americanus |
| ENSOGAG00000032290 | NANOS2 | 96 | 50.000 | ENSUMAG00000004703 | NANOS3 | 73 | 50.000 | Ursus_maritimus |
| ENSOGAG00000032290 | NANOS2 | 81 | 85.714 | ENSUMAG00000023699 | NANOS2 | 73 | 85.714 | Ursus_maritimus |
| ENSOGAG00000032290 | NANOS2 | 96 | 46.269 | ENSVPAG00000011497 | NANOS3 | 76 | 46.269 | Vicugna_pacos |
| ENSOGAG00000032290 | NANOS2 | 96 | 48.507 | ENSVVUG00000026757 | NANOS3 | 76 | 48.507 | Vulpes_vulpes |
| ENSOGAG00000032290 | NANOS2 | 100 | 89.855 | ENSVVUG00000002993 | NANOS2 | 100 | 89.855 | Vulpes_vulpes |
| ENSOGAG00000032290 | NANOS2 | 80 | 39.655 | ENSXETG00000024565 | nanos1 | 84 | 39.655 | Xenopus_tropicalis |
| ENSOGAG00000032290 | NANOS2 | 96 | 39.416 | ENSXETG00000014552 | NANOS2 | 97 | 39.416 | Xenopus_tropicalis |
| ENSOGAG00000032290 | NANOS2 | 99 | 40.136 | ENSXETG00000021874 | nanos3 | 99 | 40.136 | Xenopus_tropicalis |
| ENSOGAG00000032290 | NANOS2 | 80 | 37.594 | ENSXMAG00000020157 | - | 63 | 38.346 | Xiphophorus_maculatus |