Identification of new genes and quantitative trait locis associated with growth curve parameters in F2 chicken population using genome‐wide association study

• Published in: Animal genetics Vol. 52; no. 2; pp. 171 - 184
• Main Authors: Seifi Moroudi, R., Ansari Mahyari, S., Vaez Torshizi, R., Lanjanian, H., Masoudi‐Nejad, A.
• Format: Journal Article
• Language: English
• Published: England Wiley Subscription Services, Inc 01-04-2021
• Subjects: Animal husbandry; Biomarkers; Body weight; broiler; candidate genes; Chickens; Cholecystokinin; Correlation analysis; Generalized linear models; Genes; Genome-wide association studies; Genomes; genome‐wide association study; growth curve parameters; Growth factors; Growth rate; Livestock; Livestock breeding; Meat; Parameter estimation; Poultry; Quantitative trait loci; Sheep; Single-nucleotide polymorphism; Statistical models; growth curve parameters; candidate genes; broiler; genome-wide association study
• ISSN: 0268-9146; 1365-2052
• DOI: 10.1111/age.13038

Summary
The markers which are correlated with the growth curve parameters help in understanding the characteristics of individual growth during the rearing of livestock. This study aimed to identify a set of biomarkers through a GWAS for growth curve parameters in crossbred chickens using the Illumnia 60K chicken SNP Beadchip. Growth data were collected from a total of 301 birds from cross of a broiler line and native chickens. Using the Gompertz–Laird model, two growth curve parameters, the instantaneous growth rate per day (L) and the coefficient of relative growth or maturing index (k), were estimated. The L and k were used to estimate five derived parameters, namely asymptotic (mature) body weight, body weight at inflection point, age at the inflection point, average growth rate and maximum growth rate. These parameters were considered as phenotypic values in the GWAS based on generalized linear models. The results of the GWAS indicated 21 significant markers, which were located near or within 46 genes. A number of these genes, such as GH, RET, GRB14, FTSJ3 and CCK, are important for growth and meat quality in chickens, and some of them are growth related in other species such as sheep and cattle (GPI, XIRP2, GALNTL6, BMS1, THSD4, TRHDE, SHISA9, ACSL6 and DYNC1LI2). The other genes are associated with developmental biological pathways. These genes are particuarly related to body weight, average daily gain and growth QTL. The results of this study can shed light on the genetic mechanism of biological functions of growth factors in broiler chickens, which is useful for developing management practices and accelerating genetic progress in breeding programs.