Plant and Animal Genomics, Centre for Research in Agricultural Genomics (CRAG), CSIC-IRTA-UAB-UB, Campus UAB, Bellaterra, Spain.
Departament de Ciència Animal i dels Aliments, Facultat de Veterinària, Universitat Autònoma de Barcelona, Bellaterra, Spain.
Genet Sel Evol. 2024 Feb 12;56(1):12. doi: 10.1186/s12711-024-00882-x.
BACKGROUND: Intramuscular fat (IMF) content and its fatty acid (FA) composition are typically controlled by several genes, each with a small effect. In the current study, to pinpoint candidate genes and putative regulators involved in FA composition, we performed a multivariate integrative analysis between intramuscular FA and transcriptome profiles of porcine longissimus dorsi (LD) muscle. We also carried out a combination of network, regulatory impact factor (RIF), in silico prediction of putative target genes, and functional analyses to better support the biological relevance of our findings. RESULTS: For this purpose, we used LD RNA-Seq and intramuscular FA composition profiles of 129 Iberian × Duroc backcrossed pigs. We identified 378 correlated variables (13 FA and 365 genes), including six FA (C20:4n-6, C18:2n-6, C20:3n-6, C18:1n-9, C18:0, and C16:1n-7) that were among the most interconnected variables in the predicted network. The detected FA-correlated genes include genes involved in lipid and/or carbohydrate metabolism or in regulation of IMF deposition (e.g., ADIPOQ, CHUK, CYCS, CYP4B1, DLD, ELOVL6, FBP1, G0S2, GCLC, HMGCR, IDH3A, LEP, LGALS12, LPIN1, PLIN1, PNPLA8, PPP1R1B, SDR16C5, SFRP5, SOD3, SNW1, and TFRC), meat quality (GALNT15, GOT1, MDH1, NEU3, PDHA1, SDHD, and UNC93A), and transport (e.g., EXOC7 and SLC44A2). Functional analysis highlighted 54 over-represented gene ontology terms, including well-known biological processes and pathways that regulate lipid and carbohydrate metabolism. RIF analysis suggested a pivotal role for six transcription factors (CARHSP1, LBX1, MAFA, PAX7, SIX5, and TADA2A) as putative regulators of gene expression and intramuscular FA composition. Based on in silico prediction, we identified putative target genes for these six regulators. Among these, TADA2A and CARHSP1 had extreme RIF scores and present novel regulators in pigs. In addition, the expression of TADA2A correlated (either positively or negatively) with C20:4n-6, C18:2n-6, C20:3n-6, C18:1n-9, and that of CARHSP1 correlated (positively) with the C16:1n-7 lipokine. We also found that these two transcription factors share target genes that are involved in lipid metabolism (e.g., GOT1, PLIN1, and TFRC). CONCLUSIONS: This integrative analysis of muscle transcriptome and intramuscular FA profile revealed valuable information about key candidate genes and potential regulators for FA and lipid metabolism in pigs, among which some transcription factors are proposed to control gene expression and modulate FA composition differences.
背景:肌内脂肪(IMF)含量及其脂肪酸(FA)组成通常由多个基因控制,每个基因的作用都很小。在目前的研究中,为了确定参与 FA 组成的候选基因和假定调控因子,我们对猪背最长肌的肌内 FA 和转录组谱进行了多元综合分析。我们还结合网络、调控影响因子(RIF)、假定靶基因的计算机预测以及功能分析,以更好地支持我们研究结果的生物学相关性。
结果:为此,我们使用了 129 头伊比利亚×杜洛克杂交猪的 LD RNA-Seq 和肌内 FA 组成谱。我们鉴定了 378 个相关变量(13 种 FA 和 365 个基因),包括 6 种 FA(C20:4n-6、C18:2n-6、C20:3n-6、C18:1n-9、C18:0 和 C16:1n-7),它们是预测网络中最相互关联的变量之一。检测到的与 FA 相关的基因包括参与脂质和/或碳水化合物代谢或调节 IMF 沉积的基因(例如,ADIPOQ、CHUK、CYCS、CYP4B1、DLD、ELOVL6、FBP1、G0S2、GCLC、HMGCR、IDH3A、LEP、LGALS12、LPIN1、PLIN1、PNPLA8、PPP1R1B、SDR16C5、SFRP5、SOD3、SNW1 和 TFRC)、肉品质(GALNT15、GOT1、MDH1、NEU3、PDHA1、SDHD 和 UNC93A)和运输(例如,EXOC7 和 SLC44A2)。功能分析突出了 54 个过度代表的基因本体术语,包括调节脂质和碳水化合物代谢的众所周知的生物学过程和途径。RIF 分析表明,6 个转录因子(CARHSP1、LBX1、MAFA、PAX7、SIX5 和 TADA2A)作为基因表达和肌内 FA 组成的假定调控因子具有关键作用。基于计算机预测,我们确定了这 6 个调节剂的假定靶基因。其中,TADA2A 和 CARHSP1 的 RIF 得分极高,是猪中新型的调控因子。此外,TADA2A 的表达与 C20:4n-6、C18:2n-6、C20:3n-6、C18:1n-9 呈正相关(或负相关),而 CARHSP1 的表达与 C16:1n-7 脂质素呈正相关。我们还发现这两个转录因子具有共同的参与脂质代谢的靶基因(例如,GOT1、PLIN1 和 TFRC)。
结论:对肌肉转录组和肌内 FA 谱的综合分析提供了有关猪 FA 和脂质代谢关键候选基因和潜在调控因子的有价值信息,其中一些转录因子被提议控制基因表达并调节 FA 组成差异。
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