Project description:We combined an iTRAQ-based proteome-level analysis with an RNA sequencing-based transcriptome-level analysis to detect the proteins and genes related to fruit peel colour development during two fruit development stages in the ‘Tunisia’ and ‘White’ pomegranate cultivars.
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.
2022-01-13 | GSE193412 | GEO
Project description:Whole Genome Bisulfite Sequencing of melon fruit peel
Project description:Purpose:The red coloration of apple (Malus × domestica Borkh.) is due to the accumulation of anthocyanins in the fruit peel. Light is essential for anthocyanin biosynthesis in apple.Apple peel can quickly turn red under light conditions after unbagging. Therefore, the implementation of transcriptome sequencing to find genes that promote anthocyanin accumulation in response to light signals is necessary to clarify the mechanism of light-induced anthocyanin accumulation in apple peel.
Project description:RNA-Seq was conducted among sergeant bulks of four sex types of melon flowers, namely monoecious (AAGG), gynoecious (AAgg), hermaphrodite (aaGG), and andromonoecious (aagg), a total of about 105 million reads were generated from the melon transcriptome using Solexa sequencing.Totally 79,698 unigenes were generated and 75,537 unigenes were mapped to 11,805 annotated proteins in assembled melon genome (Garcia-Mas et al., 2012). Transcripts related to photomorphogenesis and flower development in plants were found, Most of the genes encoding plant hormone metabolism related protein, others related to flora development including Tasselseeds and male sterility genes which in phytohormones pathway were also detected. Comparison each two bulks (AAGG:AAgg, AAGG:aaGG, aagg:AAgg and aaGG:aagg ) exhibited different profiles of putative genes (include 745, 1342, 858 and 571 different expression genes, respectively). mRNA profiles of four sex types of melon flowers, namely monoecious (AAGG), gynoecious (AAgg), hermaphrodite (aaGG), and andromonoecious (aagg) were were generated by deep sequencing using Illumina Hiseq 2000.
Project description:Background: MicroRNAs (miRNAs) represent a family of small endogenous, non-coding RNAs that play critical regulatory roles in plant growth, development, and environmental stress responses. Although Hami melon is an attractive model for valuable biological traits analysis, the role of miRNA action in the fruit development and ripening remains largely unknown. Here, we performed small RNA sequencing to investigate the Hami melon miRNA profiles at four fruit developmental stages Results: Small RNA sequencing yielded raw reads in eight libraries. miRNAs expression profiles were variable at different fruit developmental stages. The expression levels of five known miRNAs were validated by quantitative real-time PCR. Among the identified miRNAs, several miRNAs showed developmentally regulated and differentially expressed pattern during fruit development. Conclusions: Our results present a first comprehensive set of identification and characterization of Hami melon fruit miRNAs and their potential targets, which provide valuable basis for further research on the critical role of miRNAs in melon fruit development.
Project description:This study was designed to identify the sRNAs in Aphis gossypii (cotton-melon aphid) during Vat-mediated resistance in teraction with melon
Project description:Melon (Cucumis melo L.) is a commercially important fruit crop that is cultivated worldwide. The melon research community has recently benefited from the determination of a complete draft genome sequence and the development of associated genomic tools, which have allowed us to focus on small RNAs (sRNAs). These are short, non-coding RNAs 21â24 nucleotides in length with diverse physiological roles. In plants, they regulate gene expression and heterochromatin assembly, and control protection against virus infection. Much remains to be learned about the role of sRNAs in melon. We constructed 10 sRNA libraries from two stages of developing ovaries, fruits and photosynthetic cotyledons infected with viruses, and carried out high-throughput pyrosequencing. We catalogued and analyzed the melon sRNAs, resulting in the identification of 26 known miRNA families (many conserved with other species), the prediction of 84 melon-specific miRNA candidates, the identification of trans-acting siRNAs, and the identification of chloroplast, mitochondrion and transposon-derived sRNAs. In silico analysis revealed more than 400 potential targets for the conserved and novel miRNAs. This analysis provides insight into the composition and function of the melon small RNAome, and paves the way towards an understanding of sRNA-mediated processes that regulate melon fruit development and melonâvirus interactions.
Project description:Viruses are among the most destructive and difficult to control plant pathogens. Melon (Cucumismelo L.) has become the model species for the agriculturally important Cucurbitaceae family. Approaches that take advantage of recently developed genomic tools in melon are being extremely useful for understanding viral pathogenesis and can contribute to the identification of target genes to breed new resistant cultivars. In this work, we have used a recently described melon microarray for transcriptome profiling of two melon cultivars infected with two strains of Melon necrotic spot virus (MNSV) that only differ on their 3´-untranslated regions. Tissues of melon plants from cultivars Out of 7566 and 7074 genes deregulated by MNSV-Mα5 and MNSV-Mα5/3’264, 1851 and 1356, respectively, were strain-specific. Likewise, MNSV-Mα5/3’264 specifically deregulated 2925 and 1618 genes in Planters Jumbo and Tendral, respectively. Thus, significantly affected GO categories were clearly different for the different virus/host combinations. Grouping genes according to their patterns of expression allowed the identification of two groups specifically deregulated by MNSV-Mα5/3’264 with respect to MNSV-Mα5 in Tendral, and one group antagonistically regulated in Planters Jumbo vs. Tendral after MNSV-Mα5/3’264 infection. Genes in these three groups belong to a diversity of functional classes, and no obvious regulatory commonalities were identified. When data on MNSV-Mα5/Tendral infections were compared to equivalent data on cucumber mosaic virus or watermelon mosaic virus infections, cytokinin-O-glucosyltransferase2 was identified as the only gene deregulated by the three viruses, with infections dynamics correlating with the amplitude of transcriptome remodeling. Both common and strain-specific changes, as well as common but also cultivar-specific changes, have been identified by profiling transcriptomes of plants from two melon cultivars infected with two MNSV strains. No obvious regulatory features shared among deregulated genes have been identified, pointing toward regulation through differential functional implications. Viruses are among the most destructive and difficult to control plant pathogens. Melon (Cucumismelo L.) has become the model species for the agriculturally important Cucurbitaceae family. Approaches that take advantage of recently developed genomic tools in melon are being extremely useful for understanding viral pathogenesis and can contribute to the identification of target genes to breed new resistant cultivars. In this work, we have used a recently described melon microarray for transcriptome profiling of two melon cultivars infected with two strains of Melon necrotic spot virus (MNSV) that only differ on their 3´-untranslated regions. Tissues of melon plants from cultivars Out of 7566 and 7074 genes deregulated by MNSV-Mα5 and MNSV-Mα5/3’264, 1851 and 1356, respectively, were strain-specific. Likewise, MNSV-Mα5/3’264 specifically deregulated 2925 and 1618 genes in Planters Jumbo and Tendral, respectively. Thus, significantly affected GO categories were clearly different for the different virus/host combinations. Grouping genes according to their patterns of expression allowed the identification of two groups specifically deregulated by MNSV-Mα5/3’264 with respect to MNSV-Mα5 in Tendral, and one group antagonistically regulated in Planters Jumbo vs. Tendral after MNSV-Mα5/3’264 infection. Genes in these three groups belong to a diversity of functional classes, and no obvious regulatory commonalities were identified. When data on MNSV-Mα5/Tendral infections were compared to equivalent data on cucumber mosaic virus or watermelon mosaic virus infections, cytokinin-O-glucosyltransferase2 was identified as the only gene deregulated by the three viruses, with infections dynamics correlating with the amplitude of transcriptome remodeling. Both common and strain-specific changes, as well as common but also cultivar-specific changes, have been identified by profiling transcriptomes of plants from two melon cultivars infected with two MNSV strains. No obvious regulatory features shared among deregulated genes have been identified, pointing toward regulation through differential functional implications.