Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1291292 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: The goals of this study are to compare differentially expressed transcripts in leaves of watermelon during drought stress using transcriptome profiling (RNA-seq)
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Project description:The DEGs, lncRNAs and cirRNAs in responsive to the CGMMV infection in watermelon leaves were obtained through deep sequencing.
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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:Here, we used RNA sequencing and tandem mass tag (TMT)–based quantitative proteomics technology to study the comprehensive mRNA and protein expression changes during fruit development and ripening in watermelon. A total of 6,226 proteins were quantified, and the number of quantitative proteins is the largest in fruit proteome to date, comparable to studies in model organisms such as rice and Arabidopsis. Omics analysis showed that smaller changes occurred in protein abundance compared to mRNA abundance. Furthermore, protein and transcript abundance were poorly correlated, and the correlation coefficients decreased during fruit development and ripening. Our comprehensive transcriptomic and proteomic data offer a valuable resource for watermelon research, and provide new insights into the molecular mechanisms underlying complex regulatory networks of fruit ripening in watermelon.
2022-04-10 | PXD024490 | Pride
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 | GSE102029 | GEO
Project description:Leaf colour variation is observed in several plants. We obtained two types of branches with yellow (H1) and variegated (H2) leaves from Camellia sinensis. To reveal the mechanisms that underlie the leaf colour variations, proteomic analysis using label-free MS-based approach was performed using leaves from variants and normal branches (CKs).
2018-10-26 | PXD004750 | Pride
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). 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