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PMID: 42187729 已发表 · epublish 英语

Identification of Reproductive Trait-Associated Loci and Candidate Genes in Commercial Pigs via 50K SNP Genotyping and Genome-Wide Association Study.

Biology ·第 15 卷 ·第 10 期 ·2026-05-11

Chen W, Yang F, Chen Y, Liufu S, Wang K, Li Z, Ma H

摘要

To unravel the genetic basis of economically critical reproductive traits in swine, we genotyped 839 sows from three commercial breeds (Duroc, Landrace, Yorkshire) using the Porcine Breeding Chip_plus 50K SNP array, and analyzed three key traits: total number born (TNB), number born alive (NBA), and number of healthy piglets (NHP). We integrated principal component analysis (PCA) for population structure, runs of homozygosity (ROH) detection, genome-wide association studies (GWAS), and GO/KEGG enrichment analysis. Phenotypically, Yorkshire sows exhibited superior and persistent reproductive capacity across parities 1-7 (peak TNB: 14.17 ± 2.82 at parity 4 based on N ≥ 3 data), Duroc sows had limited data with only parity 1 available (TNB: 9.44 ± 2.13), and Landrace sows showed moderate to high performance across parities 1-4 and 7, with peak TNB at parity 4 (17.08 ± 4.61). ROH analysis further revealed that short ROH fragments (1-5 Mb) were the most abundant category across breeds, while the majority of detected ROH were under 10 Mb in length. GWAS identified significant SNPs concentrated on chromosomes 1 and 2, and annotated candidate genes including AMH (ovarian reserve), IZUMO4 (embryo implantation), ACSBG2 (steroid synthesis), RFX2 (follicular maturation), and DOT1L (embryonic development). GO/KEGG enrichment highlighted pathways such as "histone methyltransferase activity" and "fatty acid biosynthesis", which are critical for reproductive processes. This study clarifies breed-specific reproductive patterns and identifies key genetic loci/genes for porcine reproductive traits, providing molecular markers and a theoretical basis for improving swine reproductive performance via molecular breeding.

关键词
GWAS ROH Yorkshire candidate genes reproduction
文献信息
期刊
Biology
期刊简称
Biology (Basel)
ISSN
2079-7737
发表日期
2026-05-11
语言
英语
国家/地区
Switzerland
NLM ID
101587988
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