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通过位于开放染色质区域的 eQTLs 发现与Nellore 牛脂肪性状相关的新型假定因果突变。

Novel putative causal mutations associated with fat traits in Nellore cattle uncovered by eQTLs located in open chromatin regions.

机构信息

Department of Animal Science, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, SP, Brazil.

Department of Agroindustry, Food and Nutrition, College of Agriculture "Luiz de Queiroz", University of São Paulo, Piracicaba, SP, Brazil.

出版信息

Sci Rep. 2024 May 2;14(1):10094. doi: 10.1038/s41598-024-60703-5.

DOI:10.1038/s41598-024-60703-5
PMID:38698200
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11066111/
Abstract

Intramuscular fat (IMF) and backfat thickness (BFT) are critical economic traits impacting meat quality. However, the genetic variants controlling these traits need to be better understood. To advance knowledge in this area, we integrated RNA-seq and single nucleotide polymorphisms (SNPs) identified in genomic and transcriptomic data to generate a linkage disequilibrium filtered panel of 553,581 variants. Expression quantitative trait loci (eQTL) analysis revealed 36,916 cis-eQTLs and 14,408 trans-eQTLs. Association analysis resulted in three eQTLs associated with BFT and 24 with IMF. Functional enrichment analysis of genes regulated by these 27 eQTLs revealed noteworthy pathways that can play a fundamental role in lipid metabolism and fat deposition, such as immune response, cytoskeleton remodeling, iron transport, and phospholipid metabolism. We next used ATAC-Seq assay to identify and overlap eQTL and open chromatin regions. Six eQTLs were in regulatory regions, four in predicted insulators and possible CCCTC-binding factor DNA binding sites, one in an active enhancer region, and the last in a low signal region. Our results provided novel insights into the transcriptional regulation of IMF and BFT, unraveling putative regulatory variants.

摘要

肌内脂肪(IMF)和背膘厚度(BFT)是影响肉质的重要经济性状。然而,控制这些性状的遗传变异仍需进一步阐明。为了深入研究这些性状,我们整合了 RNA-seq 数据和基因组及转录组数据中鉴定的单核苷酸多态性(SNP),生成了一个连锁不平衡过滤面板,包含 553581 个变异体。表达数量性状基因座(eQTL)分析揭示了 36916 个顺式-eQTL 和 14408 个反式-eQTL。关联分析得到了与 BFT 相关的 3 个 eQTL 和与 IMF 相关的 24 个 eQTL。对受这 27 个 eQTL 调控的基因进行功能富集分析,揭示了一些重要的通路,这些通路可能在脂质代谢和脂肪沉积中发挥重要作用,如免疫反应、细胞骨架重塑、铁运输和磷脂代谢。接下来,我们使用 ATAC-Seq 检测来识别和重叠 eQTL 和开放染色质区域。有 6 个 eQTL 位于调控区域,4 个位于预测的绝缘子和可能的 CCCTC 结合因子 DNA 结合位点,1 个位于活性增强子区域,最后 1 个位于低信号区域。我们的研究结果为 IMF 和 BFT 的转录调控提供了新的见解,揭示了潜在的调控变异体。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/5d02a6016799/41598_2024_60703_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/ea05b61f0670/41598_2024_60703_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/c51657904de0/41598_2024_60703_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/966ebe79c13d/41598_2024_60703_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/5d02a6016799/41598_2024_60703_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/ea05b61f0670/41598_2024_60703_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/c51657904de0/41598_2024_60703_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/966ebe79c13d/41598_2024_60703_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cac8/11066111/5d02a6016799/41598_2024_60703_Fig4_HTML.jpg

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