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The perennial fruit tree proteogenomics atlas: a spatial map of the sweet cherry proteome and transcriptome.

Aliki XanthopoulouTheodoros MoysiadisChristos BazakosEvangelos KaragiannisIoanna KaramichaliGeorge StamatakisMartina SamiotakiMaria ManioudakiMichail MichailidisPanagiotis MadesisIoannis GanopoulosAthanassios MolassiotisGeorgia Tanou
Published in: The Plant journal : for cell and molecular biology (2021)
Genome-wide transcriptome analysis provides systems-level insights into plant biology. Due to the limited depth of quantitative proteomics our understanding of gene-protein-complex stoichiometry is largely unknown in plants. Recently, the complexity of the proteome and its cell/tissue specific distribution boost the research community to the integration of transcriptomics and proteomics landscapes in a proteogenomic approach. Herein, we generated a quantitative proteome and transcriptome abundance atlas of 15 major sweet cherry tissues represented by 29,247 genes and 7,584 proteins. Additionally, 199,984 alternative splicing events, particularly exon skipping and alternative 3' splice site, were identified in 23,383 transcribed regions of the analyzed tissues. Common signatures as well as differences between mRNA and protein quantities, including genes encoding transcription factors and allergens, within and across the different tissues are reported. Using our integrated data set, we identified key putative regulators of fruit development, notably genes involved in the biosynthesis of the anthocyanins and flavonoids. We also provide proteogenomic-based evidence for the involvement of ethylene signaling and pectin degradation in cherry fruit ripening. Moreover, clusters of genes and proteins with similar and different expression and suppression trends across diverse tissues and developmental stages revealed a relatively low RNA abundance-to-protein correlation. The present proteogenomic analysis allows us to identify 17 novel sweet cherry proteins without prior protein-level annotation evidenced in the currently available databases. To facilitate use by the community, we also developed the Sweet Cherry Atlas Database (https://grcherrydb.com/) for viewing and data-mining these resources. This work provides new insights into the proteogenomics workflow in plants and a rich knowledge resource for future investigation of gene and protein functions in Prunus species.
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