title: Genome-wide association study and accuracy of genomic prediction for teat number in Duroc pigs using genotyping-by-sequencing.
abstract: The number of teats in pigs is related to a sow's ability to rear piglets to weaning age. Several studies have identified genes and genomic regions that affect teat number in swine but few common results were reported. The objective of this study was to identify genetic factors that affect teat number in pigs, evaluate the accuracy of genomic prediction, and evaluate the contribution of significant genes and genomic regions to genomic broad-sense heritability and prediction accuracy using 41,108 autosomal single nucleotide polymorphisms (SNPs) from genotyping-by-sequencing on 2936 Duroc boars.
  
  
  
  Narrow-sense heritability and dominance heritability of teat number estimated by genomic restricted maximum likelihood were 0.365 ± 0.030 and 0.035 ± 0.019, respectively. The accuracy of genomic predictions, calculated as the average correlation between the genomic best linear unbiased prediction and phenotype in a tenfold validation study, was 0.437 ± 0.064 for the model with additive and dominance effects and 0.435 ± 0.064 for the model with additive effects only. Genome-wide association studies (GWAS) using three methods of analysis identified 85 significant SNP effects for teat number on chromosomes 1, 6, 7, 10, 11, 12 and 14. The region between 102.9 and 106.0 Mb on chromosome 7, which was reported in several studies, had the most significant SNP effects in or near the PTGR2, FAM161B, LIN52, VRTN, FCF1, AREL1 and LRRC74A genes. This region accounted for 10.0% of the genomic additive heritability and 8.0% of the accuracy of prediction. The second most significant chromosome region not reported by previous GWAS was the region between 77.7 and 79.7 Mb on chromosome 11, where SNPs in the FGF14 gene had the most significant effect and accounted for 5.1% of the genomic additive heritability and 5.2% of the accuracy of prediction. The 85 significant SNPs accounted for 28.5 to 28.8% of the genomic additive heritability and 35.8 to 36.8% of the accuracy of prediction.
  
  
  
  The three methods used for the GWAS identified 85 significant SNPs with additive effects on teat number, including SNPs in a previously reported chromosomal region and SNPs in novel chromosomal regions. Most significant SNPs with larger estimated effects also had larger contributions to the total genomic heritability and accuracy of prediction than other SNPs.
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.|Department of Animal Science, University of Minnesota, Saint Paul, MN, 55108, USA.
authors.forename: Cheng
authors.initials: C
authors.lastname: Tan
authors.affiliation: National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, China.
authors.forename: Zhenfang
authors.initials: Z
authors.lastname: Wu
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
authors.forename: Jiangli
authors.initials: J
authors.lastname: Ren
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
authors.forename: Zhuolin
authors.initials: Z
authors.lastname: Huang
authors.affiliation: National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, China.
authors.forename: Dewu
authors.initials: D
authors.lastname: Liu
authors.affiliation: National Engineering Research Center for Breeding Swine Industry, South China Agricultural University, Guangdong, 510642, China.
authors.forename: Xiaoyan
authors.initials: X
authors.lastname: He
authors.affiliation: Department of Animal Science, University of Minnesota, Saint Paul, MN, 55108, USA.
authors.forename: Dzianis
authors.initials: D
authors.lastname: Prakapenka
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
authors.forename: Ran
authors.initials: R
authors.lastname: Zhang
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China.
authors.forename: Ning
authors.initials: N
authors.lastname: Li
authors.affiliation: Department of Animal Science, University of Minnesota, Saint Paul, MN, 55108, USA. yda@umn.edu.
authors.forename: Yang
authors.initials: Y
authors.lastname: Da
authors.affiliation: State Key Laboratory for Agrobiotechnology, China Agricultural University, Beijing, 100193, China. huxx@cau.edu.cn.
authors.forename: Xiaoxiang
authors.initials: X
authors.lastname: Hu
mesh_terms: D000818:Animals; D001947:Breeding / Q000379:methods* / Q000592:standards; D005260:Female; D055106:Genome-Wide Association Study / Q000379:methods* / Q000592:standards; D060005:Genotyping Techniques / Q000379:methods* / Q000592:standards; D008321:Mammary Glands, Animal / Q000033:anatomy & histology*; D020641:Polymorphism, Single Nucleotide; D013552:Swine / Q000033:anatomy & histology / Q000235:genetics*