Transcriptome and proteomic analysis of mango (Mangifera indica Linn) fruits

•RNA sequencing of mango fruit results into 54,207 transcript assembled.•LC–MS identified 7536 peptides that matched 2754 proteins.•We provide comprehensive information on the transcriptome and proteome level of mango fruit.•Providing a valuable reference for further research on gene expression and protein identification

Here we used Illumina RNA-seq technology for transcriptome sequencing of a mixed fruit sample from ‘Zill’ mango (Mangifera indica Linn) fruit pericarp and pulp during the development and ripening stages. RNA-seq generated 68,419,722 sequence reads that were assembled into 54,207 transcripts with a mean length of 858 bp, including 26,413 clusters and 27,794 singletons. A total of 42,515(78.43%) transcripts were annotated using public protein databases, with a cut-off E-value above 10− 5, of which 35,198 and 14,619 transcripts were assigned to gene ontology terms and clusters of orthologous groups respectively. Functional annotation against the Kyoto Encyclopedia of Genes and Genomes database identified 23,741(43.79%) transcripts which were mapped to 128 pathways. These pathways revealed many previously unknown transcripts. We also applied mass spectrometry-based transcriptome data to characterize the proteome of ripe fruit. LC–MS/MS analysis of the mango fruit proteome was using tandem mass spectrometry (MS/MS) in an LTQ Orbitrap Velos (Thermo) coupled online to the HPLC. This approach enabled the identification of 7536 peptides that matched 2754 proteins. Our study provides a comprehensive sequence for a systemic view of transcriptome during mango fruit development and the most comprehensive fruit proteome to date, which are useful for further genomics research and proteomic studies.Biological significanceOur study provides a comprehensive sequence for a systemic view of both the transcriptome and proteome of mango fruit, and a valuable reference for further research on gene expression and protein identification.This article is part of a Special Issue entitled: Proteomics of non-model organisms.

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