Transcriptome profile of papaya ripening
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA528193 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8755860_1.fastq.gz | Fastqsanger.gz | |||
| SRR8755860_2.fastq.gz | Fastqsanger.gz | |||
| SRR8755870_1.fastq.gz | Fastqsanger.gz | |||
| SRR8755870_2.fastq.gz | Fastqsanger.gz | |||
| SRR8755861_1.fastq.gz | Fastqsanger.gz |
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Project description:We report the application of NGS-derived transcriptome profile to elucidate a temporal line of both control and ethylene-induced ripening process of papaya fruit focusing on ripening-induced transcripts that act directly on plant cell wall disassembling
2021-09-06 | GSE128577 | GEO
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).
2012-05-24 | E-GEOD-38105 | biostudies-arrayexpress
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.
2012-05-25 | GSE38105 | GEO
Project description:Papaya (Carica papaya L.) is a typical climacteric fruit, undergoing massive physico-chemical changes during ripening. Although papaya is widely cultivated and consumed, few studies have characterized the variations in metabolism during its ripening process at the proteasome level. Using an integrated approach involving Tandem Mass Tag labeling and liquid chromatography–mass spectrometry analysis, proteomes of papaya fruit at different ripening stages were investigated. A total of 3220 proteins were identified, of which 2818 were quantified. The differential accumulated proteins (DAPs) exhibited various biological functions and diverse subcellular localizations. Among the DEPs, most of the pathogen defense-related proteins were down-regulated, suggesting that disease resistance decreased during the ripening process. The Kyoto Encyclopedia of Genes and Genomes enrichment analysis revealed that various metabolic pathways were significantly altered, particularly in flavonoid and fatty acid metabolisms. The up-regulation of several flavonoid biosynthesis-related proteins may provide more raw materials for pigment biosynthesis, accelerating the color variation of papaya fruit. Thus, variations in the fatty acid metabolism-related enzymes were investigated. For example, a lipoxygenase, which catalyzes the conversion of ACC to ethylene, was significantly induced, suggesting a cross-talk between the lipoxygenase-mediated fatty acid metabolism and the hormone-controlled fruit ripening in papaya. Furthermore, the contents of several important fatty acids were determined, and increased unsaturated fatty acids may be associated with papaya fruit volatile formation. Our data may give an intrinsic explanation of the variations in metabolism during the ripening process of papaya fruit and serve as a comprehensive resource for investigating the regulation mechanism involved.
2019-11-12 | PXD008871 | Pride
Project description:For identifying genes for sex determination in papaya, digital gene expression analysis by Ht-SuperSAGE (Matsumura et al., 2010) was carried out in flowers from male, female and hermaphrodite plants of papaya. Total more than 9,273,744 26bp-tags were obtained by sequence analysis using SOLiD3 and mapped on papaya primitive sex chromosome sequences.
2012-07-16 | GSE30366 | GEO
Project description:For identifying genes for sex determination in papaya, digital gene expression analysis by Ht-SuperSAGE (Matsumura et al., 2010) was carried out in flowers from male, female and hermaphrodite plants of papaya. Total more than 9,273,744 26bp-tags were obtained by sequence analysis using SOLiD3 and mapped on papaya primitive sex chromosome sequences. 6 samples examined: male young flowerbud, male mature flower bud, female young flower bud, female mature flower bud, hermaphrodite young flower bud, hermaphrodite mature flower bud
2012-07-15 | E-GEOD-30366 | biostudies-arrayexpress
Project description: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.
2017-12-18 | PXD008166 | Pride
Project description:Fleshy fruits evolved independently multiple times during angiosperm history, including the use of ethylene for the initiation and maintenance of ripening. ENCODE data of 355 transcriptome, 66 accessible chromatin, 160 histone and 45 DNA methylation profiles from eleven fleshy fruit species revealed three types of transcriptional feedback loops controlling ripening. Eudicots peach, papaya and melon evolved their circuits using carpel senescence NAC genes, whereas tomato, apple and pear utilized floral identity MADS genes derived from recent whole-genome-duplications. The monocot banana used both, forming a unique dual-loop circuit. Genes in these circuits and their tissue-specific H3K27me3 mark could be traced back to both dry fruits and ethylene-independent fleshy fruits, suggesting that the ethylene-dependent ripening mechanisms evolved from pre-existing genetic and epigenetic pathways in the ancestral angiosperms. FruitENCODE provides a comprehensive annotation of functional elements for fleshy fruit crops and new insight into the origins of climacteric fruit ripening.
2018-07-04 | GSE116581 | GEO
Project description:Analysis of Ripening-related Gene Expression in Papaya using an Arabidopsis-based Microarray
| PRJNA167514 | ENA
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.
2010-11-05 | E-GEOD-24523 | biostudies-arrayexpress