Export data of total rRNA-coding genes for class Aves

Species (N=152) GC (%) AT (%) G (bases) C (bases) A (bases) T (bases) Maximum lifespan (yrs)
Accipiter gentilis 45.2 54.8 676 483 548 859 22.0
Accipiter nisus 45.9 54.1 698 482 549 844 20.2
Acridotheres cristatellus 46.7 53.3 668 535 537 837 13.0
Acrocephalus scirpaceus 46.7 53.3 674 531 523 852 14.0
Aegypius monachus 47.1 52.9 723 507 533 846 39.0
Agelaius phoeniceus 45.9 54.1 665 515 537 855 20.0
Aix galericulata 46.8 53.2 696 521 515 867 10.4
Alauda arvensis 47.7 52.3 683 538 511 828 10.1
Alectura lathami 47.9 52.1 749 495 503 848 12.5
Anas acuta 47.1 52.9 690 529 511 859 27.4
Anas crecca 46.9 53.1 690 523 511 865 27.1
Anas platyrhynchos 46.9 53.1 682 532 516 857 29.1
Anser albifrons 46.5 53.5 682 525 529 861 47.0
Anser anser 46.6 53.4 687 523 529 859 31.0
Anser fabalis 46.0 54.0 574 464 468 749 25.6
Anthropoides virgo 45.6 54.4 687 482 538 856 27.0
Apus apus 45.6 54.4 697 475 528 872 21.1
Aquila chrysaetos 47.7 52.3 693 501 518 793 48.0
Ara glaucogularis 49.3 50.7 778 474 454 832 22.0
Aratinga acuticaudata 49.1 50.9 778 474 465 835 31.0
Archilochus colubris 45.8 54.2 676 493 532 852 9.1
Ardea cinerea 46.1 53.9 687 499 547 838 37.5
Ardea purpurea 46.2 53.8 683 498 547 831 25.4
Arenaria interpres 44.7 55.3 660 487 570 848 22.3
Aythya americana 46.8 53.2 693 517 503 873 22.6
Aythya ferina 46.7 53.3 696 511 500 879 23.2
Aythya fuligula 46.5 53.5 690 514 507 876 45.2
Balearica regulorum 46.8 53.2 715 489 512 856 27.2
Botaurus stellaris 44.9 55.1 674 483 564 858 11.3
Branta bernicla 46.8 53.2 686 527 518 862 28.8
Branta canadensis 46.7 53.3 680 530 524 857 42.0
Bubulcus ibis 46.0 54.0 687 489 538 845 23.0
Bucorvus leadbeateri 47.2 52.8 708 506 509 850 70.0
Buteo buteo 46.3 53.7 707 482 537 844 28.8
Cacatua moluccensis 48.7 50.1 760 494 470 820 65.8
Calyptorhynchus baudinii 47.5 51.0 752 471 461 854 47.0
Cardinalis cardinalis 45.8 54.2 657 522 548 846 28.5
Carduelis pinus 45.0 55.0 640 518 560 853 11.0
Carduelis psaltria 45.2 54.8 642 520 552 858 5.7
Carduelis spinus 45.4 54.6 646 521 553 853 13.5

Contact: Vadim E. Fraifeld, MD, PhD

Head: Lab for the Biology of Aging, The Shraga Segal Department of Microbiology, Immunology and Genetics, Faculty of Health Sciences, Ben-Gurion University of the Negev
P.O. Box 653, Beer-Sheva 8410501, Israel

Email:
How to cite us:

If you would like to cite this database please use:
Toren D, Barzilay T, Tacutu R, Lehmann G, Muradian KK, Fraifeld VE. MitoAge: a database for comparative analysis of mitochondrial DNA, with a special focus on animal longevity. Nucleic Acids Res. 2016; 44(D1):D1262-5.