Project description:We sequenced mRNA from the leaves of mutant and normal green leaves of Ginkgo biloba using the Illumina HiSeq4000 platform to generate the transcriptome dynamics that may serve as a gene expression profile blueprint for leaf color variation of the mutant in Ginkgo biloba.
Project description:Ginkgo biloba leaves are always resources for flavonoids pharmaceutical industry. Thus, artificial planting and industrial harvesting become the vital aspect to get higher drug yields. In this research, we performed de novo transcriptome sequencing of Ginkgo leaves coupled with high-performance liquid chromatography/quadrupole-time-of-flight mass spectrometry analyses to obtain a comprehensive understanding of the influence of elevation and plant age on flavonoid synthesis. A total of 557,659,530 clean reads were assembled into 188,155 unigenes, of which 135,102 (71.80%) were successfully annotated in seven public databases. The differentially expressed genes analysis indicated DFR, LAR and ANR were significantly up-regulated with the increase of elevation in young Ginkgo trees leaves. With less strict saliency, the relative concentration of flavonoid derivatives with high parent ion signal intensity was likely to support this conclusion. Complex gene variations were observed with the plant age change. However, flavonoid derivatives analysis predicted the potential possibility that the rise of plant age is more likely to be detrimental to the biosynthesis of Ginkgo flavonoids in leaves. From the overall DEGs involved in flavonoid biosynthesis, DFRs seemed to show more considerable variability towards the variation of elevation and plant age. Furthermore, our research effectively expanded the functional genomic library of Ginkgo and provided a reference for artificial planting and industrial harvesting.
2019-05-05 | ST001194 | MetabolomicsWorkbench
Project description:Transcriptome Analysis of Ginkgo Leaves under PEG6000
Project description:To explore the overall long noncoding RNA (lncRNA) involved in major developmental stages of Ginkgo biloba leaves , we deeply sequenced samples of leaves from different developmental stages (from April to October) using strand-specific RNA sequencing (ssRNA-seq) menthod. We obtained 27.44 Gb raw data and identified 1323 novel lncRNAs. We also categorized the novel lncRNAs as intergenic, intronic, antisense and sense based on their location on theGinkgo biloba genome. Furthermore, lncRNAs targeted protein-coding genes were predicted and functional annotated. In addition, we constructed a network of interactions between ncRNAs (miRNAs, lncRNA) and mRNAs. Our results suggest that the identified novel lncRNAs are important in modulating development process of Ginkgo biloba, and provide a rich resource for further research on the function of these novel lncRNAs.
Project description:We conducted RNA-seq from the Ginkgo leaves after UV-B treatment,and constructed the molecular regulatory network of flavonoids synthesis under UV-B radiation in G. biloba.
Project description:Ginkgo leaves are always resources for flavonoids pharmaceutical industry. However, the effect of the elevation and tree age changes on flavonoid biosynthesis have not been detailly explored in Ginkgo leaves. In addition, whether these environmental pressures have similar effects on the biosynthesis of other non-flavonoids polyphenolics in phenylpropanoid biosynthesis is not known at present. In this research, de novo transcriptome sequencing of Ginkgo leaves was performed coupled with ultra-performance liquid chromatography/quadrupole time-of-flight mass spectrometry analyses to obtain a comprehensive understanding of the influence of elevation and tree age on phenylpropanoid biosynthesis. A total of 557,659,530 clean reads were assembled into 188,155 unigenes, of which 135,102 (71.80%) were successfully annotated in seven public databases. The putative DFRs, LARs, and ANRs were significantly up-regulated with the increase of elevation in young Ginkgo tree leaves. The relative concentration of flavonoid derivatives with high parent ion intensity was likely to imply that the elevation increase promoted the biosynthesis of flavonoids. Complex gene variations involved in flavonoid biosynthesis were observed with the tree age increase. However, flavonoid derivatives analysis predicted that the rise of tree age was more likely to be detrimental to the flavonoids manufacture. Otherwise, multiple genes implicated in the synthesis of hydroxycinnamates, lignin, and lignan exhibited fluctuations with the elevation increase. Significantly up-regulated CADs and down-regulated PRDs potentially led to the accumulation of p-Coumaryl alcohol, one of the lignin monomers, and might inhibit further lignification. Overall, the putative DFRs seemed to show more considerable variability toward these stress, and appeared to be the main regulatory point in the flavonoid biosynthesis. Light enhancement caused by elevation increase may be the main reason for flavonoids accumulation. Flavonoid biosynthesis exhibited a greater degree of perturbation than that of hydroxycinnamates, lignins and lignans, potentially suggesting that flavonoid biosynthesis might be more susceptible than other branch pathways involved in phenylpropanoid biosynthesis. This research effectively expanded the functional genomic library and provide new insights into phenylpropanoid biosynthesis in Ginkgo.
Project description:We sequenced mRNA from Ginkgo biloba leaves grown at different developmental stages using the Illumina HiSeq4000 platform to generate the transcriptome dynamics that may serve as a gene expression profile blueprint for different response patterns during autumn leaf senescence and coloration. These results contribute to the elucidation of the molecular mechanisms involved in the leaf coloration and senescence in G. biloba as well as to the identification of candidate genes involved in this process.
2019-10-19 | GSE139096 | GEO
Project description:RNA-seq of Ginkgo leaves
| PRJNA694465 | ENA
Project description:transcriptomics of Ginkgo biloba leaves
| PRJNA523460 | ENA
Project description:Transcriptome data in young and mature ginkgo leaves