Integration of non-additive genome-wide association study with a multi-tissue transcriptome analysis of growth and carcass traits in Duroc pigs

Chen, Wei; Zeng, Haonan; Zhong, Zhanming; Cai, Xiaodian; Teng, Jingyan; Liu, Yuqiang; Zhao, Yunxiang; Wu, Xibo; Li, Jiaqi; Zhang, Zhe

doi:10.1016/j.animal.2023.100817

Cited by 4 publications

(2 citation statements)

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“…Dominance effects, the nonadditive result of allelic interactions for a gene, contribute to heterozygous advantages and can influence quantitative traits such as growth traits in pigs and other livestock (Guo et al, 2016;Prakapenka et al, 2021). Wei et al (2023) employed whole-genome and transcriptome sequencing technologies to identify 80 dominance QTL and eight candidate genes affecting growth and carcass traits in Duroc pigs.…”

Section: Introductionmentioning

confidence: 99%

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Genomic prediction and genome‐wide association studies for additive and dominance effects for body composition traits using 50 K and imputed high‐density SNP genotypes in Yunong‐black pigs

Wu,

Dou,

Bai

et al. 2023

J Animal Breeding Genetics

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Body composition traits are complex traits controlled by minor genes and, in hybrid populations, are impacted by additive and nonadditive effects. We aimed to identify candidate genes and increase the accuracy of genomic prediction of body composition traits in crossbred pigs by including dominance genetic effects. Genomic selection (GS) and genome‐wide association studies were performed on seven body composition traits in 807 Yunong‐black pigs using additive genomic models (AM) and additive‐dominance genomic models (ADM) with an imputed high‐density single nucleotide polymorphism (SNP) array and the Illumina Porcine SNP50 BeadChip. The results revealed that the additive heritabilities estimated for AM and ADM using the 50 K SNP data ranged from 0.20 to 0.34 and 0.11 to 0.30, respectively. However, the ranges of additive heritability for AM and ADM in the imputed data ranged from 0.20 to 0.36 and 0.12 to 0.30, respectively. The dominance variance accounted for 23% and 27% of the total variance for the 50 K and imputed data, respectively. The accuracy of genomic prediction improved by 5% on average for 50 K and imputed data when dominance effect were considered. Without the dominance effect, the accuracies for 50 K and imputed data were 0.35 and 0.38, respectively, and 0.41 and 0.43, respectively, upon considering it. A total of 12 significant SNP and 16 genomic regions were identified in the AM, and 14 significant SNP and 21 genomic regions were identified in the ADM for both the 50 K and imputed data. There were five overlapping SNP in the 50 K and imputed data. In the AM, a significant SNP (CNC10041568) was found in both body length and backfat thickness traits, which was in the PLAG1 gene strongly and significantly associated with body length and backfat thickness in pigs. Moreover, a significant SNP (CNC10031356) with a heterozygous dominant genotype was present in the ADM. Furthermore, several functionally related genes were associated with body composition traits, including MOS, RPS20, LYN, TGS1, TMEM68, XKR4, SEMA4D and ARNT2. These findings provide insights into molecular markers and GS breeding for the Yunong‐black pigs.

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Section: Introductionmentioning

confidence: 99%

“…Wei et al. (2023) employed whole‐genome and transcriptome sequencing technologies to identify 80 dominance QTL and eight candidate genes affecting growth and carcass traits in Duroc pigs.…”

Section: Introductionmentioning

confidence: 99%