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全基因组连锁分析猪腰大肌组织的全基因表达,鉴定候选基因。

Genome-wide linkage analysis of global gene expression in loin muscle tissue identifies candidate genes in pigs.

机构信息

Department of Animal Science, Michigan State University, East Lansing, Michigan, United States of America.

出版信息

PLoS One. 2011 Feb 8;6(2):e16766. doi: 10.1371/journal.pone.0016766.

Abstract

BACKGROUND

Nearly 6,000 QTL have been reported for 588 different traits in pigs, more than in any other livestock species. However, this effort has translated into only a few confirmed causative variants. A powerful strategy for revealing candidate genes involves expression QTL (eQTL) mapping, where the mRNA abundance of a set of transcripts is used as the response variable for a QTL scan.

METHODOLOGY/PRINCIPAL FINDINGS: We utilized a whole genome expression microarray and an F(2) pig resource population to conduct a global eQTL analysis in loin muscle tissue, and compared results to previously inferred phenotypic QTL (pQTL) from the same experimental cross. We found 62 unique eQTL (FDR <10%) and identified 3 gene networks enriched with genes subject to genetic control involved in lipid metabolism, DNA replication, and cell cycle regulation. We observed strong evidence of local regulation (40 out of 59 eQTL with known genomic position) and compared these eQTL to pQTL to help identify potential candidate genes. Among the interesting associations, we found aldo-keto reductase 7A2 (AKR7A2) and thioredoxin domain containing 12 (TXNDC12) eQTL that are part of a network associated with lipid metabolism and in turn overlap with pQTL regions for marbling, % intramuscular fat (% fat) and loin muscle area on Sus scrofa (SSC) chromosome 6. Additionally, we report 13 genomic regions with overlapping eQTL and pQTL involving 14 local eQTL.

CONCLUSIONS/SIGNIFICANCE: Results of this analysis provide novel candidate genes for important complex pig phenotypes.

摘要

背景

在猪身上已经报道了近 6000 个 QTL 与 588 个不同的性状有关,比其他任何家畜物种都多。然而,这项工作只转化为少数几个确定的致病变体。揭示候选基因的一种强大策略涉及表达 QTL(eQTL)图谱,其中一组转录物的 mRNA 丰度用作 QTL 扫描的响应变量。

方法/主要发现:我们利用全基因组表达微阵列和 F(2)猪资源群体,在腰肌肉组织中进行了全局 eQTL 分析,并将结果与来自同一实验杂交的先前推断的表型 QTL(pQTL)进行了比较。我们发现了 62 个独特的 eQTL(FDR<10%),并鉴定了 3 个基因网络,这些网络富含受遗传控制的与脂质代谢、DNA 复制和细胞周期调节有关的基因。我们观察到局部调节的强烈证据(59 个已知基因组位置的 eQTL 中有 40 个),并将这些 eQTL 与 pQTL 进行比较,以帮助识别潜在的候选基因。在有趣的关联中,我们发现了醛酮还原酶 7A2(AKR7A2)和硫氧还蛋白域包含 12(TXNDC12)eQTL,它们是与脂质代谢相关的网络的一部分,反过来与 SSCC6 上大理石花纹、%肌肉内脂肪(%fat)和腰肌肉面积的 pQTL 区域重叠。此外,我们报告了 13 个具有重叠 eQTL 和 pQTL 的基因组区域,涉及 14 个局部 eQTL。

结论/意义:该分析的结果为重要的复杂猪表型提供了新的候选基因。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6ed4/3035619/c6a4e5b85bb7/pone.0016766.g001.jpg

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