Transcriptomics and metabolomics analyses identified key genes associated with sugar and acid metabolism in sweet and sour pomegranate cultivars during the developmental period
Lijuan Feng , Chuanzeng Wang , Xuemei Yang , Qiqing Jiao , Yanlei Yin
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引用次数: 7
Abstract
Pomegranate (Punica granatum), an important fruit tree in the world, is rich in bioactive substances and has broad prospects for development. In this study, gene expression levels and the concentrations of metabolites involved in the metabolism of soluble sugars and organic acids were investigated in sweet and sour pomegranate cultivars at the S1 (July 25) stage, S2 (August 26) stage, and S3 (September 24) stage. The results showed that glucose, fructose, citric acid, and malic acid were predominantly present in pomegranate. The expression of invertase 2 (INV2), INV1, FRK2, FRK7, PFK2, PFK7, and HK1 was closely correlated with the fructose and glucose contents during different developmental stages, whereas the expression of sucrose synthase 3 (SUS3) and INV1 was negatively correlated with the sucrose content. The expression of MDH (c28468_g3) and WRKY42 (c20711_g1) genes were closely related to the content of sucrose, malic acid, citric acid, and succinic acid during different developmental stages. Gene expression and metabolite concentrations varied between the two cultivars. The results provide valuable information for gene discovery, marker-assisted selection, and investigation of metabolism mechanisms in pomegranate fruits.
期刊介绍:
Plant Physiology and Biochemistry publishes original theoretical, experimental and technical contributions in the various fields of plant physiology (biochemistry, physiology, structure, genetics, plant-microbe interactions, etc.) at diverse levels of integration (molecular, subcellular, cellular, organ, whole plant, environmental). Opinions expressed in the journal are the sole responsibility of the authors and publication does not imply the editors'' agreement.
Manuscripts describing molecular-genetic and/or gene expression data that are not integrated with biochemical analysis and/or actual measurements of plant physiological processes are not suitable for PPB. Also "Omics" studies (transcriptomics, proteomics, metabolomics, etc.) reporting descriptive analysis without an element of functional validation assays, will not be considered. Similarly, applied agronomic or phytochemical studies that generate no new, fundamental insights in plant physiological and/or biochemical processes are not suitable for publication in PPB.
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