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通过显性偏差分析研究离子转运和离子转运调节基因对长白猪终体重和背膘厚度的显性效应。

Dominance effects of ion transport and ion transport regulator genes on the final weight and backfat thickness of Landrace pigs by dominance deviation analysis.

作者信息

Lee Young-Sup, Shin Donghyun, Song Ki-Duk

机构信息

Department of Animal Biotechnology, Chonbuk National University, Jeonju, 54896, Republic of Korea.

出版信息

Genes Genomics. 2018 Dec;40(12):1331-1338. doi: 10.1007/s13258-018-0728-7. Epub 2018 Aug 22.

Abstract

Although there have been plenty of dominance deviation analysis, few studies have dealt with multiple phenotypes. Because researchers focused on multiple phenotypes (final weight and backfat thickness) of Landrace pigs, the classification of the genes was possible. With genome-wide association studies (GWASs), we analyzed the additive and dominance effects of the single nucleotide polymorphisms (SNPs). The classification of the pig genes into four categories (overdominance in final weight, overdominance in backfat thickness and overdominance in final weight, underdominance in backfat thickness, etc.) can enable us not only to analyze each phenotype's dominant effects, but also to illustrate the gene ontology (GO) analysis with different aspects. We aimed to determine the additive and dominant effect in backfat thickness and final weight and performed GO analysis. Using additive model and dominance deviation analysis in GWASs, Landrace pigs' overdominant and underdominant SNP effects in final weight and backfat thickness were surveyed. Then through GO analysis, we investigated the genes that were classified in the GWASs. The major GO terms of the underdominant effects in final weight and overdominant effects in backfat thickness were ion transport with the SLC8A3, KCNJ16, P2RX7 and TRPC3 genes. Interestingly, the major GO terms in the underdominant effects in the final weight and the underdominant effects in the backfat thickness were the regulation of ion transport with the STAC, GCK, TRPC6, UBASH3B, CAMK2D, CACNG4 and SCN4B genes. These results demonstrate that ion transport and ion transport regulation genes have distinct dominant effects. Through GWASs using the mode of linear additive model and dominance deviation, overdominant effects and underdominant effects in backfat thickness was contrary to each other in GO terms (ion transport and ion transport regulation, respectively). Additionally, because ion transport and ion transport regulation genes are associative with adipose tissue accumulation, we could infer that these two groups of genes had to do with unique fat accumulation mechanisms in Landrace pigs.

摘要

尽管已经有大量的显性偏差分析,但很少有研究涉及多个表型。由于研究人员关注长白猪的多个表型(终体重和背膘厚度),因此对基因进行分类成为可能。通过全基因组关联研究(GWAS),我们分析了单核苷酸多态性(SNP)的加性和显性效应。将猪基因分为四类(终体重超显性、背膘厚度超显性以及终体重超显性、背膘厚度亚显性等),这不仅能让我们分析每个表型的显性效应,还能从不同方面进行基因本体论(GO)分析。我们旨在确定背膘厚度和终体重中的加性和显性效应,并进行GO分析。在GWAS中使用加性模型和显性偏差分析,调查了长白猪终体重和背膘厚度中的超显性和亚显性SNP效应。然后通过GO分析,我们研究了在GWAS中分类的基因。终体重亚显性效应和背膘厚度超显性效应的主要GO术语是与SLC8A3、KCNJ16、P2RX7和TRPC3基因相关的离子运输。有趣的是,终体重亚显性效应和背膘厚度亚显性效应的主要GO术语是与STAC、GCK、TRPC6、UBASH3B、CAMK2D、CACNG4和SCN4B基因相关的离子运输调节。这些结果表明,离子运输和离子运输调节基因具有不同的显性效应。通过使用线性加性模型和显性偏差模式的GWAS,背膘厚度中的超显性效应和亚显性效应在GO术语中彼此相反(分别为离子运输和离子运输调节)。此外,由于离子运输和离子运输调节基因与脂肪组织积累相关,我们可以推断这两组基因与长白猪独特的脂肪积累机制有关。

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