Project description:To uncover a suit of genes related to the consumer preferred flavours, whole RNA sequencing followed by de novo genome assembly was performed on extreme flavoured papaya varieties RB1 (preferred with sweet flavour and floral aroma) and 1B (non-preferred with bitter flavour and musty aroma) fruits at ripe and unripe stages. We then performed gene expression profiling analysis using data obtained from RNA-seq of 2 different papaya varieties at ripe and unripe stages.
Project description:Bitter pit is the most important physiological disorder affecting apples. In order to ascertain the genetic bases of its incidence in apple fruit, a mapping population of ‘Braeburn’ (susceptible to bitter pit) × ‘Cameo’ (resistant to bitter pit) cultivars was used to map the trait over two growing seasons. RNA-Seq on pools of RNA extracted from fruits of three resistant and three susceptible to bitter pit progenies at post-fertilization and full maturity stages, permitted us to identify a number of candidate genes underlying genetic resistance/susceptibility to bitter pit.
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:A custom oligoarray of Japanese pear (Pyrus pyrifolia) based on 9,812 independent ESTs from different tissues (fruits at various growth stages, vegetative and flower tissues) was designed and used for comprehensive investigation of gene expression before and during ripening (105 to 147 days after full bloom). Gene expression in fruit development of Japanese pear was measured from 105 to 147 days after full bloom (DAFB). 147 DAFB is the optimum maturity for eating. Two to three independent experiments were performed at each time (105 to 147 DAFB) using different trees for each experiment.
Project description:Chayote (Sechium edule) fruits are rich in flavonoids, folate, and low-calorie food. However, studies about the flavonoids and regulatory mechanism of flavonoid synthesis in chayote fruits was still unclear. In present study, a transcriptome analysis and metabolite profiling of chayote fruits at three different storage stages were conducted to explore the flavonoid compositions and gene expression associated with flavonoid synthesis. Through the UPLC-MS/MS analysis, a total of 57 flavonoid compounds were detected. Of these, 42 flavonoid glycosides were significantly differential accumulation in chayote fruits at three different storage stages. Many genes associated with flavonoid synthesis were differentially expressed in chayote fruits at three different storage stages through RNA-seq analysis, including structural genes and some TFs. There was a high correlation between RNA-seq analysis and metabolite profiling, and the expression level of candidate genes in the flavonoid synthesis pathway were consistent with the dynamic changes of flavonoids. In addition, one R2R3-MYB transcription factor, FSG0057100, was defined as the critical regulatory gene of flavonoid synthesis. Furthermore, we treated chayote fruits during storage with phenylalanine, and the results show exogenous phenylalanine applications might promote the flavonoid synthesis. Phenylalanine is a effective additive to maintain or improve the total content flavonoids in chayote fruit during storage, can apply the phenylalanine in the postharvest storage of chayote. The above results not only make us better understand the molecular mechanism of flavonoid synthesis in chayote fruits, but also contribute to the promotion and application of chayote products.
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.
Project description:<div>Olive (<i>Olea europaea</i>) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><b><br></b></div><div><b>Polyphenols UPLC-MS</b> protocols and data are reported in the current study <b>MTBLS814</b>.</div><div><br></div><div><b>GC-MS</b> protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS855">MTBLS855</a></b>.</div><div><br></div><div><span _ngcontent-iov-c3="" class="ng-star-inserted"><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</b></span></span></div><div><br></div><div><br></div>
Project description:<div>Olive (Olea europaea) has a long history of medicinal and nutritional values own to it rich in polyphenol and fatty acids (FAs) in fruits. In order to better understand the biosynthesis important of these metabolites, we generated comprehensive Iso-Seq full-length and illumina RNA-seq transcriptome, and targeted metabolomics dataset of different olive fruits maturity. The targeted metabolomics by using both GC/MS and LC/MS were totally quantified 35 FAs and 13 polyphenols. Iso-Seq library was constructed and sequenced by PacBio Sequel System, and a total of 5,891,652 (10.55 G) with an average length of 1,791 subreads were obtained. 492,350 circular consensus sequences (CCSs) were formed after merging and error correction through subread comparison. Of the 492,350 CCSs, 399,263 were found to be full-length non chimera (FLNC) reads, and 187,517 consensus reads were finally obtained by using clustering algorithm of Iterative clustering for error (IEC). These multiomics data provide a foundation to elucidate the mechanisms regulating biosynthesis of polyphenol and FAs during the maturation of olive fruits.</div><div><br></div><div><div><b>GC-MS</b> protocols and data are reported in the current study <b>MTBLS855</b>.</div><div><br></div><div><span _ngcontent-jcp-c3="" class="ng-star-inserted"><b>Polyphenols UPLC-MS</b></span> protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814">MTBLS814</a></b>.</div><div><br></div><div><b>Tyrosol only UPLC-MS</b> <span _ngcontent-iov-c3="" class="ng-star-inserted">protocols and data associated to this study are reported in <b><a href="http://www.ebi.ac.uk/metabolights/editor/study/MTBLS814"><a href="https://www.ebi.ac.uk/metabolights/MTBLS1127">MTBLS1127</a>.</a></b></span></div></div>
Project description:Purpose: the goals of this study are to compare fruit of two clitivars oriental melon transcriptome profiling (RNA-seq) at different stages to explore carotenoid potentail carotenoid accumulation mechanism Methods:The transcriptome sequence of two cultivars oriental melon fruits at different stages were generated by deep sequencing with three repeats using Illumina. The sequence reads that passed filters were mapped to melon genome (http://cucurbitgenomics.org/organism/18) using HISAT2 software. The differently expressed genes were identify by |log2(FoldChange)| > 0 & padj <= 0.05, and qRT–PCR validation was performed using SYBR Green assays Result:Using an optimized data analysis workflow, we mapped about 40 million sequence reads per sample to the melon genome. The differentially expressed genes were functionally classified by GO and KEGG enrichment. We focused on carotenoid metabolism related gene and validated using qRT-PCR. The results showed RNA-seq and qRT-PCR were highly correlated. Conclusion: Our study provided transcriptome sequence of oriental melon fruits at different stages in two cultivars. The optimized data analysis workflows reported here should provide comparative framework of expression profiles. Our transcriptome characterization contribute to analyze gene functions and metabolic process of oriental melon.