Reference : Multiple-trait genomewide mapping and gene network analysis for scrotal circumference...
Scientific journals : Article
Life sciences : Animal production & animal husbandry
Multiple-trait genomewide mapping and gene network analysis for scrotal circumference growth curves in Brahman cattle1
Soares, A. C. C. []
Guimarães, S. E. F. []
Kelly, M. J. []
Fortes, M. R. S. []
Fonseca e Silva, Fabyano []
Verardo, L. L. []
REIS MOTA, Rodrigo mailto [Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Ingénierie des productions animales et nutrition >]
Moore, S. []
Journal of Animal Science
American Society of Animal Science
Yes (verified by ORBi)
[en] Bos indicus ; complex trait ; genomewide association studies ; growth curves ; nonlinear models ; scrotal circumference
[en] Fertility traits are economically important in cattle breeding programs. Scrotal circumference (SC) measures are repeatable, easily obtained, highly heritable, and positively correlated with female fertility traits and sperm quality traits in males. A useful approach to summarize SC measures over time is using nonlinear models, which summarize specific measures of SC in a few parameters with biological interpretation. This approach facilitates the selection of bulls with larger SC and maturity index (K), that is, early maturing animals. Because SC is a sex-limited trait, identifying the underlying genomics of growth curve parameters will allow selection across both males and females. We reported the first multitrait genomewide association study (GWAS) of estimated growth curve parameters for SC data in Brahman cattle. Five widely used nonlinear models were tested to fit a total of 3,612 SC records, measured at 6, 12, 18, and 24 mo of age. The von Bertalanffy model, individually fitted for each animal, best fit this SC data. Parameter estimates SC at maturity (A) and K as well as SC at all ages were jointly analyzed in a GWAS to identify 1-Mb regions most strongly associated with each trait. Heritabilities were 0.25 for K and 0.32 for A and ranged from 0.51 to 0.72 for SC at 6 (SC6), 12 (SC12), 18 (SC18), and 24 mo of age (SC24). An overlapping window on chromosome 14 explaining around 0.8% of genetic variance for K, SC12, SC18, and SC24 was observed. The major positional candidate genes within 1 Mb upstream and downstream of this overlapping window were LYN, CHD7, RAB2A, and ARFGEF1. Windows of 1 Mb explaining more than 0.4% of each trait on chromosomes 1, 3, 6, 7, 14, 17, 18, 24, 25, and 26 were identified. Pathways and net-work analyses were indicated through transcription factors playing a role on fertility traits: SOX9, BRCA1, STAT3, NFE2L2, EGR1, PPARG, and NFKB1. Further validation studies on larger populations or other breeds are required to validate these findings and to improve our understanding of the biology and complex genetic architecture of traits associated with scrotal growth and male fertility in cattle.
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