Dataset Information

A comprehensive proteome-wide lysine crotonylation profiling of papaya (Carica papaya L.)

ABSTRACT: Lysine crotonylation of histone proteins is a recently-identified post-translational modification with multiple cellular functions. However, lysine crotonylation of non-histone proteins in fruit cells has not yet been studied. Using high-resolution LC-MS/MS coupled with highly sensitive immune-affinity antibody analysis, a global crotonylation proteome analysis of papaya (Carica papaya L.) fruit was performed. In total, 2,120 proteins with 5,995 lysine crotonylation sites were discovered, among which eight conserved motifs were identified. Bioinformatic analysis linked crotonylated proteins to multiple metabolic pathways, including biosynthesis of antibiotics, carbon metabolism, biosynthesis of amino acids, and glycolysis. Notably, 40 crotonylated enzymes involved in various amino acid metabolism pathways were identified, suggesting a potential conserved function for crotonylation in the regulation of amino acid metabolism. Numerous crotonylation sites were identified in proteins involved in hormone signaling and cell wall-related pathways, indicating a role for crotonylation in the regulation of fruit ripening in papaya. Our comprehensive crotonylation proteome indicates diverse functions for lysine crotonylation in fruit ripening-related proteins.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Carica Papaya

TISSUE(S): Fruit

SUBMITTER: zhang zhang

LAB HEAD: Kaidong Liu

PROVIDER: PXD008166 | Pride | 2017-12-18

REPOSITORIES: Pride

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Publications

A qualitative proteome-wide lysine crotonylation profiling of papaya (Carica papaya L.).

Liu Kaidong K Yuan Changchun C Li Haili H Chen Kunyan K Lu Lishi L Shen Chenjia C Zheng Xiaolin X

Scientific reports 20180529 1

Lysine crotonylation of histone proteins is a recently-identified post-translational modification with multiple cellular functions. However, no information about lysine crotonylation of non-histone proteins in fruit cells is available. Using high-resolution LC-MS/MS coupled with highly sensitive immune-affinity antibody analysis, a global crotonylation proteome analysis of papaya fruit (Carica papaya L.) was performed. In total, 2,120 proteins with 5,995 lysine crotonylation sites were discovere ...[more]

PMID: 29844531

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Project description:Background: Papaya (Carica papaya L.) is a commercially important crop that produces climacteric fruits with a soft and sweet pulp that contain a wide range of health promoting phytochemicals. Despite its importance, little is known about transcriptional modifications during fruit ripening and its control. In this study we report the analysis of ripe papaya transcriptome by using a cross-species (XSpecies) microarray technique based on the phylogenetic proximity between papaya and Arabidopsis thaliana. Results: Papaya transcriptome analyses resulted in the identification of 414 ripening-related genes and some of them had their expression validated by qPCR. The transcription profile was then compared with that from ripening tomato and grape. Overall, the transcriptomics analysis revealed many similarities between ripening in papaya and tomato especially with respect to primary metabolism, regulation of transcription, biotic and abiotic stress and cell wall metabolism. XSpecies microarray data indicate that transcription factors (TFs) of the MADS-box, NAC and AP2/ERF gene families are involved in the control of papaya ripening and reveal that cell wall-related gene expression in papaya showed similarities to the expression profiles seen in A. thaliana during hypocotyl development. Conclusion: The cross-species array experiment was successful in identifying ripening-related genes in papaya. The data indicated common and diverse elements of transcription control between fruit bearing taxa and has also indicated a possible distinct co-evolutionary mechanism for papaya cell wall disassembling system. The present study represents new topics for future researches that would help complement the structural genomic data provided by the papaya genome, since there is no gene-chip available for this plant organism. Papaya ripe transcriptome was analysed using mRNA extracted from unripe and ripe fruit from 2 replicates. After microarray hybridization in ATH1-121501 chip, data were normalized against data generated by papaya DNA hybridization in another ATH1-121501 chip and analysed using perl algorithms (masks).

Project description:Molecular events regulating apple fruit ripening and sensory quality are largely unknown. Such knowledge is essential for genomic-assisted apple breeding and postharvest quality management. In this study, a parallel transcriptome profile analysis, scanning electron microscopic (SEM) examination and systematic physiological characterization were performed on two apple cultivars, Honeycrisp (HC) and Cripps Pink (CP), which have distinct ripening features and texture attributes. Systematic physiological characterization of fruit ripening based on weekly maturity data indicated substantial differences in fruit crispness and firmness at comparable ripening stages. SEM images of fruit cortex tissues prepared from fruits with equivalent maturity suggested that the cell wall thickness may contribute to the observed phenotypes of fruit firmness and crispness. A high-density long-oligo apple microarray consisting of duplex 190,135 cross-hybridization-free 50-70-mer isothermal probes, and representing 23,997 UniGene clusters, was manufactured on a Nimblegen array platform. Transcriptome profiling identified a total of 1793 and 1209 UniGene clusters differentially expressed during ripening from cortex tissues of HC and CP, respectively. UniGenes implicated in hormone metabolism and response, cell wall biosynthesis and modification and those encoding transcription factors were among the prominent functional groups. Between the two cultivars, most of the identified UniGenes were similarly regulated during fruit ripening; however, a short list of gene families or specific family members exhibited distinct expression patterns between the two cultivars, which may represent candidate genes regulating cultivar-specific apple fruit ripening patterns and quality attributes. Using a single color labeling system, a total of 24 microarray slides were utilized, one for each cortex tissue sample, for transcriptome profiling analysis. 2 cultivars x 3 developmental stages x 4 biological replicates.

Dataset Information

A comprehensive proteome-wide lysine crotonylation profiling of papaya (Carica papaya L.)

Publications

A qualitative proteome-wide lysine crotonylation profiling of papaya (Carica papaya L.).

Similar Datasets

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