Park Jun
Department of Animal Biotechnology, Jeonbuk National University, Jeonju 54896, Korea.
Dasan Pig Breeding Co., Namwon, 55716, Korea.
Anim Biosci. 2024 Oct;37(10):1702-1711. doi: 10.5713/ab.24.0046. Epub 2024 Aug 18.
The objective of this study was to identify genomic regions and candidate genes associated with the total number of piglets born (TNB), number of piglets born alive (NBA), and total number of stillbirths (TNS) in Berkshire pigs.
This study used a total of 11,228 records and 2,843 single-nucleotide polymorphism (SNP) data obtained from Illumina porcine 60 K and 80 K chips. The estimated genomic breeding values (GEBVs) and SNP effects were estimated using weighted single-step genomic BLUP (WssGBLUP).
The heritabilities of the TNB, NBA, and TNS were determined using single-step genomic best linear unbiased prediction (ssGBLUP). The heritability estimates were 0.13, 0.12, and 0.015 for TNB, NBA, and TNS, respectively. When comparing the accuracy of breeding value estimates, the results using pedigree-based BLUP (PBLUP) were 0.58, 0.60, and 0.31 for TNB, NBA, and TNS, respectively. In contrast, the accuracy increased to 0.67, 0.66, and 0.42 for TNB, NBA, and TNS, respectively, when using WssGBLUP, specifically in the last three iterations. The results of weighted single-step genome-wide association studies (WssGWAS) showed that the highest variance explained for each trait was predominantly located in the Sus scrofa chromosome 5 (SSC5) region. Specifically, the variance exceeded 4% for TNB, 3% for NBA, and 6% for TNS. Within the SSC5 region (12.26 to 12.76 Mb), which exhibited the highest variance for TNB, 20 SNPs were identified, and five candidate genes were identified: TIMP3, SYN3, FBXO7, BPIFC, and RTCB.
The identified SNP markers for TNB, NBA, and TNS were expected to provide valuable information for genetic improvement as an understanding of their expression and genetic architecture in Berkshire pigs. With the accumulation of more phenotype and SNP data in the future, it is anticipated that more effective SNP markers will be identified.
本研究的目的是鉴定与伯克夏猪的产仔总数(TNB)、活产仔数(NBA)和死胎总数(TNS)相关的基因组区域和候选基因。
本研究共使用了从Illumina猪60K和80K芯片获得的11228条记录和2843个单核苷酸多态性(SNP)数据。使用加权单步基因组最佳线性无偏预测(WssGBLUP)估计基因组育种值(GEBVs)和SNP效应。
使用单步基因组最佳线性无偏预测(ssGBLUP)确定了TNB、NBA和TNS的遗传力。TNB、NBA和TNS的遗传力估计值分别为0.13、0.12和0.015。在比较育种值估计的准确性时,基于系谱的最佳线性无偏预测(PBLUP)对TNB、NBA和TNS的结果分别为0.58、0.60和0.31。相比之下,使用WssGBLUP时,TNB、NBA和TNS的准确性分别提高到0.67、0.66和0.42,特别是在最后三次迭代中。加权单步全基因组关联研究(WssGWAS)的结果表明,每个性状解释的最高方差主要位于猪5号染色体(SSC5)区域。具体而言,TNB的方差超过4%,NBA的方差超过3%,TNS的方差超过6%。在TNB方差最高的SSC5区域(12.26至12.76 Mb)内,鉴定出20个SNP,并鉴定出5个候选基因:TIMP3、SYN3、FBXO7、BPIFC和RTCB。
鉴定出的TNB、NBA和TNS的SNP标记有望为伯克夏猪的遗传改良提供有价值的信息,因为了解了它们在伯克夏猪中的表达和遗传结构。随着未来更多表型和SNP数据的积累,预计将鉴定出更有效的SNP标记。