| China is famous for pig industry. Pig growth and meat quality traits have been focused as a major economic traits for decades.Pig growth traits mainly include weight gain(WG), feed conversion ratio(FCR), feed intake(FI), etc. Meat quality traits include Meat Color(MC), backfat thickness (BFT), fat content(FC ), protein content (PC), water content (WC), Skin Weight(SW) and Fat Weight(FW), etc. These traits are quantitative traits controlled by multiple genes. Functions of SNPs and genes are usually carried out through intricate pathways of reactions and interactions. Although the functions of many SNPs may not be well characterized, the functions of genes and particular pathways have been much better investigated. Therefore, studies based on candidate pathways approach may provide us the possibility to gain more extensive insight into the functional basis of associationand facilitates, and unravel into detailed genetic control mechanisms of complex phenotypes.We selected 17 candidate genes with 57 SNPs including 24 tag SNPs and 33 predicted SNPs in the two essential pathways to test by SNaPshot mini-sequencing method. Association analysis was performed using both static and dynamic phenotypic records of growth traits and meat quality traits. As a result, four SNPs respectively in SUCLA2, SUCLG2, ACADS and ALDH1B1 were detected to be significantly associated with pig growth traits. In addition, two SNPs in gene ACSS1,SUCLG2 were significant associated with meat quality traits in DLY, SNPs in gene MUT,MCEE,PCCB are significantly associated with carcass traits. In addition, Results of MB-MDR analysis demonstrated that interactions between multiple SNPs were extremely significantly associated with mutiple growth, carcass and meat quality traits. An exciting finding was discovered that the change of transcription factor binding site after altering the bases in SUCLG2 brought out a transcription factor binding of POU1F1a which is notable marker gene of growth of animals. |