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        Metabolome and Transcriptome Analyses Reveal Tissue‑Specifc Variations in Gene Expression and Metabolites of Olive

        Liu Xiaoxia,Zhang Jianguo,Luo Ying,Rao Guodong 한국식물학회 2020 Journal of Plant Biology Vol.63 No.1

        Metabolome and transcriptional correlation analyses can be used to reveal the relationship between metabolites and gene expression in diferent tissues. Here, targeted metabolome and Illumina RNA-Seq analyses were used for the identifcation of co-regulated metabolites and genes from three diferent 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 identifed, of which 2350 were functionally annotated. Diferentially 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 profling exercise provides a comprehensive view of the combination of transcriptome and metabolome data, which provides valuable information for identifying DEGs in olives.

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