Genetic basis for systems of skeletal quantitative traits: Principal component analysis of the canid skeleton

被引:130
|
作者
Chase, K
Carrier, DR
Adler, FR
Jarvik, T
Ostrander, EA
Lorentzen, TD
Lark, KG
机构
[1] Univ Utah, Dept Biol, Salt Lake City, UT 84112 USA
[2] Fred Hutchinson Canc Res Ctr, Seattle, WA 98109 USA
关键词
D O I
10.1073/pnas.152333099
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Evolution of mammalian skeletal structure can be rapid and the changes profound, as illustrated by the morphological diversity of the domestic dog. Here we use principal component analysis of skeletal variation in a population of Portuguese Water Dogs to reveal systems of traits defining skeletal structures. This analysis classifies phenotypic variation into independent components that can be used to dissect genetic networks regulating complex biological systems. We show that unlinked quantitative trait loci associated with these principal components individually promote both correlations within structures (e.g., within the skull or among the limb bones) and inverse correlations between structures (e.g., skull vs. limb bones). These quantitative trait loci are consistent with regulatory genes that inhibit growth of some bones while enhancing growth of others. These systems of traits could explain the skeletal differences between divergent breeds such as Greyhounds and Pit Bulls, and even some of the skeletal transformations that characterize the evolution of hominids.
引用
收藏
页码:9930 / 9935
页数:6
相关论文
共 50 条
  • [31] Genetic diversity of Syagrus coronata and principal component analysis of phenotypic traits: a palm from the brazilian semiarid biome
    Geís Ferreira Neves
    Sérgio Yoshimitsu Motoike
    Kacilda Naomi Kuki
    Sebastián Giraldo Montoya
    Cosme Damião Cruz
    Wassali Valadares de Sousa
    Biodiversity and Conservation, 2023, 32 : 4275 - 4293
  • [32] Explaining the Genetic Basis of Complex Quantitative Traits through Prediction Models
    Luaces, Oscar
    Quevedo, Jose R.
    Perez-Enciso, Miguel
    Diez, Jorge
    Jose Del Coz, Juan
    Bahamonde, Antonio
    JOURNAL OF COMPUTATIONAL BIOLOGY, 2010, 17 (12) : 1711 - 1723
  • [33] A quantitative genetic analysis of schizotypal personality traits
    Linney, YM
    Murray, RM
    Peters, ER
    MacDonald, AM
    Rijsdijk, F
    Sham, PC
    PSYCHOLOGICAL MEDICINE, 2003, 33 (05) : 803 - 816
  • [34] THE ANALYSIS OF GENETIC DETERMINISM OF QUANTITATIVE TRAITS IN PLANTS
    DEVIENNE, D
    M S-MEDECINE SCIENCES, 1990, 6 (10): : R11 - R15
  • [35] Principal component analysis of performance test traits in Hungarian Sporthorse mares
    Posta, Janos
    Komlosi, Istvan
    Mihok, Sandor
    ARCHIV FUR TIERZUCHT-ARCHIVES OF ANIMAL BREEDING, 2007, 50 (02): : 125 - 135
  • [36] Principal component and clustering analysis of functional traits in Swiss dairy cattle
    Karacaoeren, Burak
    Kadarmideen, Haja N.
    TURKISH JOURNAL OF VETERINARY & ANIMAL SCIENCES, 2008, 32 (03): : 163 - 171
  • [37] Principal Component Analysis of morphological traits of synthetic White Leghorn chicken
    Dalal, D. S.
    Ratwan, Poonam
    Malik, B. S.
    Patil, C. S.
    Kumar, Manoj
    INDIAN JOURNAL OF ANIMAL SCIENCES, 2020, 90 (11): : 1551 - 1555
  • [38] Principal Component and Linkage Analysis of Cardiovascular Risk Traits in the Norfolk Isolate
    Cox, Hannah C.
    Bellis, Claire
    Lea, Rod A.
    Quinlan, Sharon
    Hughes, Roger
    Dyer, Thomas
    Charlesworth, Jac
    Blangero, John
    Griffiths, Lyn R.
    HUMAN HEREDITY, 2009, 68 (01) : 55 - 64
  • [39] Identification of informative performance traits in swine using principal component analysis
    Barbosa, L
    Lopes, PS
    Regazzi, AJ
    Guimaraes, SEF
    Torres, RA
    ARQUIVO BRASILEIRO DE MEDICINA VETERINARIA E ZOOTECNIA, 2005, 57 (06) : 805 - 810
  • [40] Principal Component Analysis of Biometric Traits in Guilan Native Cattle of Iran
    Jourshari, M. Golshani
    Shadparvar, A. A.
    Hossein-Zadeh, N. Ghavi
    Rafeie, F.
    Banabazi, M. H.
    Johansson, A. M.
    IRANIAN JOURNAL OF APPLIED ANIMAL SCIENCE, 2022, 12 (01): : 23 - 31