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将全基因组关联研究与多组织转录组分析相结合,为绵羊羊毛和体重性状的遗传基础提供了新的见解。

Integration of a single-step genome-wide association study with a multi-tissue transcriptome analysis provides novel insights into the genetic basis of wool and weight traits in sheep.

机构信息

National Engineering Laboratory for Animal Breeding, Key Laboratory of Animal Genetics, Breeding, and Reproduction, Ministry of Agriculture, College of Animal Science and Technology, China Agricultural University, Beijing, China.

College of Animal Science, Xinjiang Agricultural University, Urumqi, China.

出版信息

Genet Sel Evol. 2021 Jun 30;53(1):56. doi: 10.1186/s12711-021-00649-8.

Abstract

BACKGROUND

Genetic improvement of wool and growth traits is a major goal in the sheep industry, but their underlying genetic architecture remains elusive. To improve our understanding of these mechanisms, we conducted a weighted single-step genome-wide association study (WssGWAS) and then integrated the results with large-scale transcriptome data for five wool traits and one growth trait in Merino sheep: mean fibre diameter (MFD), coefficient of variation of the fibre diameter (CVFD), crimp number (CN), mean staple length (MSL), greasy fleece weight (GFW), and live weight (LW).

RESULTS

Our dataset comprised 7135 individuals with phenotype data, among which 1217 had high-density (HD) genotype data (n = 372,534). The genotypes of 707 of these animals were imputed from the Illumina Ovine single nucleotide polymorphism (SNP) 54 BeadChip to the HD Array. The heritability of these traits ranged from 0.05 (CVFD) to 0.36 (MFD), and between-trait genetic correlations ranged from - 0.44 (CN vs. LW) to 0.77 (GFW vs. LW). By integrating the GWAS signals with RNA-seq data from 500 samples (representing 87 tissue types from 16 animals), we detected tissues that were relevant to each of the six traits, e.g. liver, muscle and the gastrointestinal (GI) tract were the most relevant tissues for LW, and leukocytes and macrophages were the most relevant cells for CN. For the six traits, 54 quantitative trait loci (QTL) were identified covering 81 candidate genes on 21 ovine autosomes. Multiple candidate genes showed strong tissue-specific expression, e.g. BNC1 (associated with MFD) and CHRNB1 (LW) were specifically expressed in skin and muscle, respectively. By conducting phenome-wide association studies (PheWAS) in humans, we found that orthologues of several of these candidate genes were significantly (FDR < 0.05) associated with similar traits in humans, e.g. BNC1 was significantly associated with MFD in sheep and with hair colour in humans, and CHRNB1 was significantly associated with LW in sheep and with body mass index in humans.

CONCLUSIONS

Our findings provide novel insights into the biological and genetic mechanisms underlying wool and growth traits, and thus will contribute to the genetic improvement and gene mapping of complex traits in sheep.

摘要

背景

遗传改良羊毛和生长性状是绵羊产业的主要目标,但它们的潜在遗传结构仍难以捉摸。为了提高我们对这些机制的理解,我们进行了加权单步全基因组关联研究(WssGWAS),然后将结果与五个羊毛性状和一个生长性状的大规模转录组数据整合在一起:平均纤维直径(MFD)、纤维直径变异系数(CVFD)、卷曲数(CN)、平均毛丛长度(MSL)、油脂毛重(GFW)和活重(LW)。

结果

我们的数据集包含 7135 个表型数据个体,其中 1217 个具有高密度(HD)基因型数据(n=372534)。其中 707 只动物的基因型从 Illumina 绵羊单核苷酸多态性(SNP)54 珠芯片(BeadChip)被导入到高密度(HD)数组。这些性状的遗传力范围从 0.05(CVFD)到 0.36(MFD),性状间遗传相关性范围从-0.44(CN 与 LW)到 0.77(GFW 与 LW)。通过将 GWAS 信号与来自 500 个样本(代表 16 只动物 87 种组织类型)的 RNA-seq 数据整合,我们检测到与六个性状相关的组织,例如,肝脏、肌肉和胃肠道(GI)是与 LW 最相关的组织,白细胞和巨噬细胞是与 CN 最相关的细胞。对于六个性状,在 21 条绵羊常染色体上共鉴定到 54 个数量性状基因座(QTL),覆盖了 81 个候选基因。多个候选基因表现出强烈的组织特异性表达,例如,与 MFD 相关的 BNC1 和与 LW 相关的 CHRNB1 分别在皮肤和肌肉中特异性表达。通过在人类中进行全基因组关联研究(PheWAS),我们发现,这些候选基因的一些同源基因在人类中与相似的性状显著相关(FDR<0.05),例如,在绵羊中与 MFD 显著相关的 BNC1 与人类的头发颜色显著相关,与 LW 显著相关的 CHRNB1 与人类的体重指数显著相关。

结论

我们的研究结果为羊毛和生长性状的生物学和遗传机制提供了新的见解,从而为绵羊复杂性状的遗传改良和基因定位做出贡献。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a2db/8247193/704dc416f189/12711_2021_649_Fig1_HTML.jpg

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