Ontology highlight
ABSTRACT:
PROVIDER: PRJNA835401 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In the present study, we employed the high-throughput sequencing technology to profile miRNAs in blueberry fruits. A total of 9,992,446 small RNA tags with sizes ranged from 18 to 30 nt were obtained, indicating that blueberry fruits have a large and diverse small RNA population. Bioinformatic analysis has identified 412 conserved miRNAs, which belong to 20 families, and 57 predicted novel miRNAs likely unique to blueberries. Among them, expression profiles of 5 conserved miRNAs were validated by stem loop qRT-PCR. Furthermore, the potential target genes of the abundant conserved and novel miRNAs were predicted and subjected for Gene Ontology (GO) annotation. Enrichment analysis of the GO-represented biological processes and molecular functions revealed that these target genes were involved in a wide range of metabolic and developmental processes. This study is the first report on genome-wide miRNA profile analysis in blueberry and it provides a useful resource for further elucidation of the functional roles of miRNAs during fruit development and ripening.
2017-06-29 | GSE94411 | GEO
Project description:De novo transcriptome analysis revealing putative genes involved in parthenocarpy of highbush blueberry (Vaccinium corymbosum L.)
| PRJDB7377 | ENA
Project description:Environmental factors play an important role in anthocyanin biosynthesis, and potassium, an essential nutrient for blueberry growth, can act as an enzyme activator. However, few reports exist on the transcriptional and anthocyanin metabolic changes in blueberries regulated by potassium. In this study, blueberries treated with potassium at different stages were compared for changes in enzyme activity, transcription, and metabolism related to anthocyanin synthesis. The results showed that potassium treatment significantly enhanced the activities of key enzymes F3H, F3'5'H, and UFGT in the anthocyanin synthesis pathway of blueberry fruit. Metabolomic results indicated that the contents of malvidin, petunidin, and delphinidin were higher with potassium fertilization, and potassium treatment promoted the early color change of blueberry fruit. The transcriptome analysis identified 102 glucose metabolism-related genes and 12 differential potassium transport genes potentially involved in potassium-regulated anthocyanin synthesis and accumulation. It was found that thirteen genes relate to anthocyanin synthesis. UFGT, F3H, CHI, HCT, C12RT1, DFR, and F3'5'H were all closely associated with potassium-controlled flavonoid and anthocyanin metabolite synthesis. It provides valuable insights into the molecular mechanisms that regulate the synthesis of anthocyanins in blueberries.
2025-03-05 | GSE277541 | GEO
Project description:Blueberry is one of the most desirable and nutritious fruits. During fruit development, the blueberry’s organoleptic properties and phytonutrient composition are ever-changing [1]. Blueberry fruit development is typically described in five phases: pads, cups, green, pink, and blue (ripe) [2]. The former two phases are referred to as the initial “expansion”. During expansion, young fruit is generally hard, dark green and distinguishable by size [3]. The latter three phases are referred to as maturation. Green fruit are hard and fully rounded green berries; pink berries are partially pigmented; blue (ripe) berries are fully colored and soft. Fruit maturation has attracted considerable research attention, and typically, the characteristics fruit softening, coloring, and sweetening are assessed [4].
2019-05-13 | PXD011815 | Pride
Project description:The aim of this study was to determine the role of genes encoding polygalacturonases in strawberry fruit softening. To this purpose, several transgenic lines, cv. Chandler, were generated: plants with PG genes FaPG1 or FaPG2 downregulated, alone or in combination, by antisense transformation. Plants were grown in a confined greenhouse and fruits were harvested at the stage of full ripeness (100% of fruit surface red). The results obtained indicate that the silencing of these genes reduced fruit softening at similar level but there is not a sinergistic effect on fruit firmness.
2021-01-21 | E-MTAB-8736 | biostudies-arrayexpress
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.
2010-11-05 | GSE24523 | GEO
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