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ABSTRACT:
PROVIDER: PRJNA1031825 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:In this study, Solexa sequencing technology has been used to discover small RNA populations of self-grafted watermelon and grafted watermelon (bottle gourd and squash were used as rootstocks). A total of 11,458,476, 11,614,094 and 9,339,089 raw reads representing 2,957,751, 2,880,328 and 2,964,990 unique sequences were obtained from the scions of self-grafted watermelon and watermelon grafted on-to bottle gourd and squash at two true-leaf stage, respectively. 39 known miRNAs belonging to 30 miRNA families and 80 novel miRNAs were identified in our small RNA dataset. Compared with self-grafted watermelon, 20 (5 known and 15 novel miRNAs) and 51 (21 known miRNAs and 30 novel miRNAs) miRNAs were expressed significantly different with higher abundance or lower abundance in watermelon grafted on to bottle gourd and squash, respectively. The differentially expressed miRNA target various transcriptional factors and other genes which involved in a wide range of biological processes. This study was firstly conducted to identify and compare miRNAs on genome-wide scale in watermelon grafting system. The miRNAs expressed differentially when watermelon was grafted onto different rootstocks suggesting that miRNAs might play an important role in diverse biological and metabolic processes in watermelon and grafting may possibly by changing miRNAs expression to regulate plant growth and response to stresses. The small RNA transcriptomes obtained in this study provided insights into molecular basis of miRNA regulation of genes expressed in self-grafted and grafted watermelon.
2011-10-26 | GSE33209 | GEO
Project description:Male sterility is important mechanism in watermelon for production of hybrid seed. While some fruit development related studies were widely performed in watermelon, there are no reports of profiling gene expression in floral organs of watermelon. RNA-seq analysis was performed in order to identify male sterility related genes from two different groups of watermelon (genetic male-sterile (GMS) DAH3615-MS line and male-fertile DAH3615 line, respectively) to identify the differentially expressed genes (DEGs).
2016-01-04 | GSE69073 | GEO
Project description:In this study, Solexa sequencing technology has been used to discover small RNA populations of self-grafted watermelon and grafted watermelon (bottle gourd and squash were used as rootstocks). A total of 11,458,476, 11,614,094 and 9,339,089 raw reads representing 2,957,751, 2,880,328 and 2,964,990 unique sequences were obtained from the scions of self-grafted watermelon and watermelon grafted on-to bottle gourd and squash at two true-leaf stage, respectively. 39 known miRNAs belonging to 30 miRNA families and 80 novel miRNAs were identified in our small RNA dataset. Compared with self-grafted watermelon, 20 (5 known and 15 novel miRNAs) and 51 (21 known miRNAs and 30 novel miRNAs) miRNAs were expressed significantly different with higher abundance or lower abundance in watermelon grafted on to bottle gourd and squash, respectively. The differentially expressed miRNA target various transcriptional factors and other genes which involved in a wide range of biological processes. This study was firstly conducted to identify and compare miRNAs on genome-wide scale in watermelon grafting system. The miRNAs expressed differentially when watermelon was grafted onto different rootstocks suggesting that miRNAs might play an important role in diverse biological and metabolic processes in watermelon and grafting may possibly by changing miRNAs expression to regulate plant growth and response to stresses. The small RNA transcriptomes obtained in this study provided insights into molecular basis of miRNA regulation of genes expressed in self-grafted and grafted watermelon. Examination of 3 different small RNA expression profilings in self-grafted and grafted watermelon
2011-10-26 | E-GEOD-33209 | biostudies-arrayexpress
Project description:MicroRNAs (miRNAs) are a class of endogenous small non-coding RNAs involved in the post-transcriptional gene regulation and play a critical role in plant growth, development and stress responses. Watermelon (Citrullus lanatus L.) is one of the important agricultural crops worldwide. Here we carried out computational and experimental analysis of miRNAs and phased small interfering RNAs (phasiRNAs) in watermelon by analyzing 14 small RNA profiles from roots, leaves, androecium, flowers, and fruits, and one published small RNA profile of mixed tissues. To identify the targets of miRNAs and phasiRNAs, we generated a degradome profile for watermelon leaf which is analyzed with the SeqTar algorithm. We identified 97 conserved pre-miRNAs, of which 58 have not been reported previously and 348 conserved mature miRNAs without precursors. We also found 9 novel pre-miRNAs encoding 18 mature miRNAs. One hundred and one 21 nucleotide (nt) PHAS loci, and two hundred and forty one 24 nt PHAS loci were also identified. We identified 120 conserved targets of the conserved miRNAs and TAS3-derived tasiRNAs by analyzing a degradome profile of watermelon leaf. The presented results provide a comprehensive view of small regulatory RNAs and their targets in watermelon.
2018-05-23 | GSE102028 | GEO
Project description:Male sterility is important mechanism in watermelon for production of hybrid seed. While some fruit development related studies were widely performed in watermelon, there are no reports of profiling gene expression in floral organs of watermelon. RNA-seq analysis was performed in order to identify male sterility related genes from two different groups of watermelon (genetic male-sterile (GMS) DAH3615-MS line and male-fertile DAH3615 line, respectively) to identify the differentially expressed genes (DEGs). This study employed tophat and edgeR for transcriptome analysis of next-generation RNA-seq data, which included 2 tissues obtained from 2 different breeds of watermelon
2016-01-04 | E-GEOD-69073 | biostudies-arrayexpress
Project description:Watermelon (Citrullus lanatus) is one of the most important vegetable crops in the world and accounts for 20% of the world’s total area devoted to vegetable production. Fusarium wilt of watermelon is one of the most destructive diseases in watermelon worldwide. Transcriptome profiling of watermelon during its incompatible interactions with Fusarium oxysporum f.sp. niveum (FON) was generated using an Agilent custom microarray which contains 15,000 probes representing approximately 8,200 watermelon genes. A total of 24, 275, 596, 598, and 592 genes that are differentially expressed genes between FON- and mock-inoculated watermelon roots at 0.5, 1, 3, 5 and 8 days post inoculation (dpi), respectively, were identified. Bioinformatics analysis of these differentially expressed genes revealed that during the incompatible interaction between watermelon and FON, the expression of a number of pathogenesis-related (PR) genes, transcription factors, signaling/regulatory genes, and cell wall modification genes, was significantly induced. A number of genes for transporter proteins such as aquaporins were down-regulated, indicating that transporter proteins might contribute to the development of wilt symptoms after FON infection. In the incompatible interaction, most genes involved in biosynthesis of jasmonic acid (JA) showed expressed stronger and more sustained than those in compatible interaction in FON-infected tissues. Similarly, genes associated with shikimate-phenylpropanoid-lignin biosynthesis were also induced in incompatible interaction, but expression of these genes were not changed or repressed in the compatible interaction.
2011-06-09 | GSE29804 | GEO
Project description:Pangenome arrays contain DNA oligomers targeting several sequenced reference genomes from the same species. In microbiology these can be employed to investigate the often high genetic variability within a species by comparative genome hybridization (CGH). The biological interpretation of pangenome CGH data depends on the ability to compare strains at a functional level, particularly by comparing the presence or absence of orthologous genes. Due to the high genetic variability, available genotype-calling algorithms can not be applied to pangenome CGH data. Therefore, we have developed the algorithm PanCGH that incorporates orthology information about genes to predict the presence or absence of orthologous genes in a query organism using CGH arrays that target the genomes of sequenced representatives of a group of microorganisms. PanCGH was tested and applied in the analysis of genetic diversity among 39 Lactococcus lactis strains from three different subspecies (lactis, cremoris, hordniae) and isolated from two different niches (dairy and plant). Clustering of these strains using the presence/absence data of gene orthologs revealed a clear separation between different subspecies and reflected the niche of the strains. Keywords: CGH, CGH analysis, orthology, Lactococcus lactis
2008-12-31 | GSE12638 | GEO