Publication | Open Access
Network analysis of the metabolome and transcriptome reveals novel regulation of potato pigmentation
253
Citations
35
References
2016
Year
EngineeringBotanyGeneticsNetwork AnalysisPlant MetabolomicsTranscriptional RegulationBiosynthesisStrong CorrelationsPotato PigmentationPotato CultivarsMetabolomicsGene ExpressionFunctional GenomicsPhytochemistryPlant HormonePlant MetabolismBiologySystems BiologyMedicinePlant Physiology
The study aimed to uncover regulatory networks governing anthocyanin biosynthesis and identify key genes by integrating transcriptomic and metabolomic data from sprouts of three colored potato cultivars. Transcript and metabolite profiles were generated via RNA‑seq and UPLC‑QTOF‑MS, then statistical analyses and gene‑metabolite correlation networks were applied to identify and quantify anthocyanin changes using mass accuracy and MS2 spectra. Correlation analysis revealed 823 strong associations (R²>0.9) between 22 anthocyanins and 119 transcripts involved in flavonoid metabolism, hormones, transcriptional regulation, and signaling, and the network highlighted a regulatory system underlying pigmentation in Hongyoung and Jayoung, suggesting a powerful approach for discovering novel breeding targets.
To gain insights into the regulatory networks related to anthocyanin biosynthesis and identify key regulatory genes, we performed an integrated analysis of the transcriptome and metabolome in sprouts germinated from three colored potato cultivars: light-red Hongyoung, dark-purple Jayoung, and white Atlantic. We investigated transcriptional and metabolic changes using statistical analyses and gene-metabolite correlation networks. Transcript and metabolite profiles were generated through high-throughput RNA-sequencing data analysis and ultraperformance liquid chromatography quadrupole time-of-flight tandem mass spectrometry, respectively. The identification and quantification of changes in anthocyanin were performed using molecular formula-based mass accuracy and specific features of their MS(2) spectra. Correlation tests of anthocyanin contents and transcriptional changes showed 823 strong correlations (correlation coefficient, R (2)>0.9) between 22 compounds and 119 transcripts categorized into flavonoid metabolism, hormones, transcriptional regulation, and signaling. The connection network of anthocyanins and genes showed a regulatory system involved in the pigmentation of light-red Hongyoung and dark-purple Jayoung potatoes, suggesting that this systemic approach is powerful for investigations into novel genes that are potential targets for the breeding of new valuable potato cultivars.
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