Naidoo P, Cloete S, Olivier J. Heritability estimates and correlations between subjectively assessed and objectively measured fleece traits in Merino sheep. South African J Animal Sci. 2004;34(6):13–4.
Article
Google Scholar
Hardy MH, Lyne AG. The pre-Natal development of wool follicles in Merino sheep. Aust J Biol Sci. 1956;9(3):423–41.
Article
Google Scholar
Fraser AS, Short BF: The biology of the fleece. Q Rev Biol. 1960;(3):108.
Parry AL, Nixon AJ, Craven AJ, Pearson AJ. The microanatomy, cell replication, and keratin gene expression of hair follicles during a photoperiod-lnduced growth cycle in sheep. Cells Tissues Organs. 1995;154(4):283–99.
Article
CAS
Google Scholar
Nixon A. Regulation of prolactin receptor expression in ovine skin in relation to circulating prolactin and wool follicle growth status. J Endocrinol. 2002;172(3):605–14.
Article
CAS
PubMed
Google Scholar
Auber L. VII.—the anatomy of follicles producing wool-Fibres, with special reference to keratinization. Earth Environmental Sci Transactions Royal Soc Edinburgh. 1952;62(01):191–254.
Article
Google Scholar
Hynd PI, Schlink AC, Phillips PM, Scobie DR. Mitotic activity in cells of the wool follicle bulb. Aust J Biol Sci. 1986;39(4):329.
Article
CAS
PubMed
Google Scholar
Kaufman CK, Zhou P, Amalia PH, Michael R. GATA-3: an unexpected regulator of cell lineage determination in skin. Genes Dev. 2003;17(17):2108–22.
Rogers GE. Biology of the wool follicle: an excursion into a unique tissue interaction system waiting to be re-discovered. Exp Dermatol. 2006;15(12):931–49.
Article
PubMed
Google Scholar
Wang Z, Zhang H, Yang H, Wang S, Rong E, Pei W, Li H, Wang N. Genome-wide association study for wool production traits in a Chinese Merino sheep population. PLoS One. 2014;9(9):e107101.
Article
PubMed
PubMed Central
CAS
Google Scholar
Hirschhorn JN, Daly MJ. Genome-wide association studies for common diseases and complex traits. Nat Rev Genet. 2005;6(2):95–108.
Article
CAS
PubMed
Google Scholar
Jiang Z, Michal JJ, Chen J, Daniels TF, Kunej T, Garcia MD, et al. Discovery of novel genetic networks associated with 19 economically important traits in beef cattle. Int J Biol Sci. 2009;5(6):528.
Article
CAS
PubMed
PubMed Central
Google Scholar
Zhang C, Wang Z, Bruce H, Kemp R, Plastow G. Genome-wide association studies (GWAS) identify a QTL close to PRKAG3 affecting meat pH and colour in crossbred commercial pig lines. In: World Congress on Genetics Applied to Livestock Production; 2014.
Google Scholar
Irene VDB, Boichard D, Lund MS. Multi-breed GWAS and meta-analysis using sequences of five dairy cattle breeds improve accuracy of QTL mapping. In: Book of Abstracts of the Meeting of the European Federation of Animal Science; 2015.
Google Scholar
Zhang L, Liu JS, Ling-Yang XU, Zhao FP, Jian LU, Zhang SF, Wang HH, Zhang XN, Wei CH, Guo-Bin LU. Genome-wide Association Studies for Body Weight Traits in Sheep. China Animal Husbandry Vet Med. 2014.
Abdoli R, Mirhoseini SZ, Ghavi H-ZN, Zamani P, Gondro C. Genome-wide association study to identify genomic regions affecting prolificacy in Lori-Bakhtiari sheep. Anim Genet. 2018;49(5):488-91.
Jiang DI, Liu J, Xinming XU, Wang Q, LazateAiniwaer LYU. Genome-wide Association Studies for Wool and Body Mass Traits in Yearling Fine Wool Sheep. Acta Agriculturae Boreali-occidentalis Sinica. 2016;25(4):496-501.
Bolormaa S, Swan AA, Brown DJ, Hatcher S, Moghaddar N, van der Werf JH, Goddard ME, Daetwyler HD: Multiple-trait QTL mapping and genomic prediction for wool traits in sheep. Genet Sel Evol. 2017;49(1):1–22.
Meadows JR, Kijas EKCW. Linkage disequilibrium compared between five populations of domestic sheep. BMC Genet. 2008;9(1):1–10.
Sing CF: Introduction to Quantitative Genetics. Am J Human Genet. 1990;46(6):1231.
By I, Nagy J, Ölkner L, Komlósi L. Genetic parameters of production and fertility traits in Hungarian Merino sheep. J Animal Breeding Genet. 1999;116(5):399–413.
Safari E, Fogarty NM, Gilmour AR. A review of genetic parameter estimates for wool, growth, meat and reproduction traits in sheep. Livest Prod Sci. 2005;92(3):271–89.
Article
Google Scholar
Di J, Zhang Y, Tian K-C, Lazate LJ-F, Xu X-M, Zhang Y-J, Zhang T-H. Estimation of (co) variance components and genetic parameters for growth and wool traits of Chinese superfine merino sheep with the use of a multi-trait animal model. Livest Sci. 2011;138(1–3):278–88.
Article
Google Scholar
Yu J, Pressoir G, Briggs WH, Bi IV, Yamasaki M, Doebley JF, Mcmullen MD, Gaut BS, Nielsen DM, Holland JB. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness. Nat Genet. 2006;38(2):203–8.
Article
CAS
PubMed
Google Scholar
Marchini J, Cardon LR, Phillips MS, Donnelly P. The effects of human population structure on large genetic association studies. Nat Genet. 2004;36(5):512–7.
Article
CAS
PubMed
Google Scholar
Vanraden PM. Efficient methods to compute genomic predictions. J Dairy Sci. 2008;91(11):0–4423.
Article
CAS
Google Scholar
Kang HM, Sul JH, Service SK, Zaitlen NA, Kong SY, Freimer NB, Sabatti C, Eskin E. Variance component model to account for sample structure in genome-wide association studies. Nat Genet. 2010;42(4):348–54.
Article
CAS
PubMed
PubMed Central
Google Scholar
Bing-ru Z, Xue-feng F, Li-juan Y, Yue-zhen T, Jun-ming H, Xu-guang W, Xi-xia H, Ke-chuan T. The difference analysis of wool traits among strains in Chinese Merino (Xinjiang type). Xinjiang Agricultural Sci. 2016;53(11):2135–41.
Google Scholar
Armstrong RA. When to use the Bonferroni correction. Ophthalmic Physiol Optics J Br Coll Ophthalmic Opticians. 2014;34(5):502–8.
Article
Google Scholar
Roberts T, Chetty M. Hypohidrotic ectodermal dysplasia: genetic aspects and clinical implications of hypodontia. Die Tydskrif Van Die Tandheelkundige Vereniging Van Suid Afrika. 2018;73:253–6.
Google Scholar
Megdiche S, Mastrangelo S, Ben Hamouda M, Lenstra JA, Ciani E. A combined multi-cohort approach reveals novel and known genome-wide selection signatures for wool traits in Merino and Merino-derived sheep breeds. Front Genet. 2019;10:1025.
Article
CAS
PubMed
PubMed Central
Google Scholar
Xuemei T, A CP. Keratin 17 modulates hair follicle cycling in a TNFalpha-dependent fashion. Genes Dev. 2006;20(10):1353–64.
Plafker KS, Farjo KM, Wiechmann AF, Plafker SM. The human ubiquitin conjugating enzyme, UBE2E3, is required for proliferation of retinal pigment epithelial cells. Invest Ophthalmol Vis Sci. 2008;49(12):5611–8.
Article
PubMed
Google Scholar
Gaur U, Aggarwal BB. Regulation of proliferation, survival and apoptosis by members of the TNF superfamily. Biochem Pharmacol. 2003;66(8):1403–8.
Article
CAS
PubMed
Google Scholar
Kondo S, Yoneta A, Yazawa H, Kamada A, Jimbow K. Downregulation of CXCR-2 but not CXCR-1 expression by human keratinocytes by UVB. J Cell Physiol. 2000;182(3):366–70.
Article
CAS
PubMed
Google Scholar
Rezza A, Wang Z, Sennett R, Qiao W, Wang D, Heitman N, Mok KW, Clavel C, Yi R, Zandstra P, et al. Signaling networks among stem cell precursors, transit-amplifying progenitors, and their niche in developing hair follicles. Cell Rep. 2016;14(12):3001–18.
Article
CAS
PubMed
PubMed Central
Google Scholar
Liu C, Sello CT, Sun Y, Zhou Y, Lu H, Sui Y, Hu J, Xu C, Sun Y, Liu J et al: De Novo Transcriptome Sequencing Analysis of Goose (Anser anser) Embryonic Skin and the Identification of Genes Related to Feather Follicle Morphogenesis at Three Stages of Development. Int J Mol Sci. 2018;19(10):3170.
Peck JW, Oberst M, Bouker KB, Bowden E, Burbelo PD. The RhoA-binding protein, rhophilin-2, regulates actin cytoskeleton organization. J Biol Chem. 2002;277(46):43924–32.
Article
CAS
PubMed
Google Scholar
McMullan R, Lax S, Robertson VH, Radford DJ, Broad S, Watt FM, Rowles A, Croft DR, Olson MF, Hotchin NA. Keratinocyte differentiation is regulated by the rho and ROCK signaling pathway. Curr Biol. 2003;13(24):2185–9.
Article
CAS
PubMed
Google Scholar
Koyama S, Purk A, Kaur M, Soini HA, Novotny MV, Davis K, Kao CC, Matsunami H, Mescher A. Beta-caryophyllene enhances wound healing through multiple routes. PLoS One. 2019;14(12):e0216104.
Article
CAS
PubMed
PubMed Central
Google Scholar
Calautti E, Cabodi S, Stein PL, Hatzfeld M, Kedersha N, Dotto GP. Tyrosine phosphorylation and src family kinases control keratinocyte cell–cell adhesion. J Cell Biol. 1998;141(6):1449–65.
Article
CAS
PubMed
PubMed Central
Google Scholar
Gay DL, Yang CC, Plikus MV, Ito M, Rivera C, Treffeisen E, Doherty L, Spata M, Millar SE, Cotsarelis G. CD133 expression correlates with membrane beta-catenin and E-cadherin loss from human hair follicle placodes during morphogenesis. J Invest Dermatol. 2015;135(1):45–55.
Article
PubMed
Google Scholar
Santoro T, Maguire J, McBride OW, Avraham KB, Copeland NG, Jenkins NA, Kelly K. Chromosomal organization and transcriptional regulation of human GEM and localization of the human and mouse GEM loci encoding an inducible Ras-like protein. Genomics. 1995;30(3):558–64.
Article
CAS
PubMed
Google Scholar
Popova NV, Suleimanian NE, Stepanova EA, Teti KA, Wu KQ, Morris RJ. Independent inheritance of genes regulating two subpopulations of mouse clonogenic keratinocyte stem cells. J Investig Dermatol Symp Proc. 2004;9(3):253–60.
Article
CAS
PubMed
Google Scholar
Wiley LA, Dattilo LK, Kang KB, Giovannini M, Beebe DC. The tumor suppressor merlin is required for cell cycle exit, terminal differentiation, and cell polarity in the developing murine lens. Invest Ophthalmol Vis Sci. 2010;51(7):3611–8.
Article
PubMed
PubMed Central
Google Scholar
Ohyama M, Terunuma A, Tock CL, Radonovich MF, Pise-Masison CA, Hopping SB, Brady JN, Udey MC, Vogel JC. Characterization and isolation of stem cell-enriched human hair follicle bulge cells. J Clin Invest. 2006;116(1):249–60.
Article
CAS
PubMed
PubMed Central
Google Scholar
Carvajal-Gonzalez JM, Mulero-Navarro S, Roman AC, Sauzeau V, Merino JM, Bustelo XR, Fernandez-Salguero PM. The dioxin receptor regulates the constitutive expression of the vav3 proto-oncogene and modulates cell shape and adhesion. Mol Biol Cell. 2009;20(6):1715–27.
Article
CAS
PubMed
PubMed Central
Google Scholar
Giannoni E, Buricchi F, Raugei G, Ramponi G, Chiarugi P. Intracellular reactive oxygen species activate Src tyrosine kinase during cell adhesion and anchorage-dependent cell growth. Mol Cell Biol. 2005;25(15):6391–403.
Article
CAS
PubMed
PubMed Central
Google Scholar
Chang C-H, Jiang T-X, Lin C-M, Burrus LW, Chuong C-M, Widelitz R. Distinct Wnt members regulate the hierarchical morphogenesis of skin regions (spinal tract) and individual feathers. Mech Dev. 2004;121(2):157–71.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sick S, Reinker S, Timmer J, Schlake T. WNT and DKK determine hair follicle spacing through a reaction-diffusion mechanism. Science. 2006;314(5804):1447–50.
Article
CAS
PubMed
Google Scholar
Holland JD, Klaus A, Garratt AN, Birchmeier W. Wnt signaling in stem and cancer stem cells. Curr Opin Cell Biol. 2013;25(2):254–64.
Article
CAS
PubMed
Google Scholar
Iwamoto Y, Nishikawa K, Imai R, Furuya M, Uenaka M, Ohta Y, Morihana T, Itoi-Ochi S, Penninger JM, Katayama I, et al. Intercellular communication between keratinocytes and fibroblasts induces local osteoclast differentiation: a mechanism underlying Cholesteatoma-induced bone destruction. Mol Cell Biol. 2016;36(11):1610–20.
Article
CAS
PubMed
PubMed Central
Google Scholar
Sambrook JRD. A laboratory manual; 2000.
Google Scholar
Li H, Durbin R. Fast and accurate short read alignment with burrows-wheeler transform. Bioinformatics. 2009;25(14):1754–60.
Article
CAS
PubMed
PubMed Central
Google Scholar
Li H, Handsaker B, Wysoker A, Fennell T, Ruan J, Homer N, Marth G, Abecasis G, Durbin R. Genome project data processing S: the sequence alignment/map format and SAMtools. Bioinformatics. 2009;25(16):2078–9.
Article
PubMed
PubMed Central
CAS
Google Scholar
Wang K, Li M, Hakonarson H. ANNOVAR: functional annotation of genetic variants from high-throughput sequencing data. Nucleic Acids Res. 2010;38(16):e164.
Article
PubMed
PubMed Central
CAS
Google Scholar
Yang J, Lee SH, Goddard ME, Visscher PM. GCTA: a tool for genome-wide complex trait analysis. Am J Hum Genet. 2011;88(1):76–82.
Article
CAS
PubMed
PubMed Central
Google Scholar
Barrett JC, Fry B, Maller J, Daly MJ. Haploview: analysis and visualization of LD and haplotype maps. Bioinformatics. 2005;21(2):263–5.
Article
CAS
PubMed
Google Scholar
Gilmour AR, Thompson R, Cullis BR. Average information REML: an efficient algorithm for variance parameter estimation in linear mixed models. Biometrics. 1995;51(4):1440–50.
Article
Google Scholar
Zhou X, Stephens M. Genome-wide efficient mixed-model analysis for association studies. Nat Genet. 2012;44(7):821–4.
Article
CAS
PubMed
PubMed Central
Google Scholar