Metabolome and transcriptional correlation analyses can be used to reveal the relationship between metabolites and gene expression in different tissues. Here, targeted metabolome and Illumina RNA-Seq analyses were used for the identification of co-regulated metabolites and genes from three different tissue of Olea europaea (fruits, new leaves, and old leaves). In total, 57.49 Gb of clean data from nine samples was obtained. The clean data of each sample reached 5.25 Gb, and the Q30 base percentage exceeded 88.44%. Through sequence alignments of clean reads from each sample with the olive reference genome, 3049 newly annotated genes were identified, of which 2350 were functionally annotated. Differentially expressed genes (DEGs) and metabolite correlation analysis showed that most of the up-regulated genes in fruits were enriched in fatty acid (FA) biosynthesis metabolic pathways; the up-regulated genes in leaves were mainly related to plant hormones, biotic (abiotic) stress tolerance, signal transduction, and secondary metabolite biosynthesis pathways. The current global gene expression and metabolite content profiling exercise provides a comprehensive view of the combination of transcriptome and metabolome data, which provides valuable information for identifying DEGs in olives.

中文翻译：

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代谢组和转录组分析揭示了橄榄基因表达和代谢产物的组织特异性变异

代谢组和转录相关分析可用于揭示代谢物与不同组织中基因表达之间的关系。在这里，靶向代谢组和Illumina RNA-Seq分析用于鉴定油橄榄三种不同组织中的共调节代谢产物和基因（水果，新叶和旧叶）。总共从九个样本中获得了57.49 Gb的干净数据。每个样本的干净数据达到5.25 Gb，Q30基本百分比超过88.44％。通过将每个样品的纯读序列与橄榄参考基因组进行序列比对，鉴定出3049个新注释的基因，其中2350个在功能上进行了注释。差异表达基因（DEGs）和代谢物相关性分析表明，水果中大多数上调的基因富含脂肪酸（FA）生物合成代谢途径。叶片中的上调基因主要与植物激素，生物（非生物）胁迫耐受性，信号转导和次生代谢产物的生物合成途径有关。