Camellia
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA318668 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3719570_1.fastq.gz | Fastqsanger.gz | |||
| SRR3719570_2.fastq.gz | Fastqsanger.gz | |||
| SRR3718472_1.fastq.gz | Fastqsanger.gz | |||
| SRR3718472_2.fastq.gz | Fastqsanger.gz | |||
| SRR3718603_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:MicroRNAs (miRNAs) are a type of small non-coding RNAs, which play important roles in plant growth, development and stress responses. Tea (Camellia sinensis) prepared from tea tree is the oldest and most popular nonalcoholic beverages in the world, and has large economic, medicinal and cultural significance. Nevertheless, there are a few studies on the miRNAs and their functions in Camellia sinensis. We sequenced 9 small RNA libraries and 9 RNA-Seq libraries from roots, leaves and flowers tissues. Through comprehensive computational analyses of 9 small RNA profiles, we identified 200 conserved miRNAs of which 138 have not been reported, and 56 novel miRNAs with 33 have not been reported. Nearly, two thousands genes have significantly different expression levels in tissues. In order to identify targets of miRNAs, we sequenced two degradome profiles from leaves and roots, respectively. Totally, more than 3,000 putative targets of conserved miRNAs were identified in both degradome profiles by using the SeqTar algorithm. These results clearly enhanced our understanding about small RNA guided gene regulations in Camellia sinensis.
2020-12-31 | GSE138150 | GEO
Project description:MicroRNAs (miRNAs) are a type of small non-coding RNAs, which play important roles in plant growth, development and stress responses. Tea (Camellia sinensis) prepared from tea tree is the oldest and most popular nonalcoholic beverages in the world, and has large economic, medicinal and cultural significance. Nevertheless, there are a few studies on the miRNAs and their functions in Camellia sinensis. We sequenced 9 small RNA libraries and 9 RNA-Seq libraries from roots, leaves and flowers tissues. Through comprehensive computational analyses of 9 small RNA profiles, we identified 200 conserved miRNAs of which 138 have not been reported, and 56 novel miRNAs with 33 have not been reported. Nearly, two thousands genes have significantly different expression levels in tissues. In order to identify targets of miRNAs, we sequenced two degradome profiles from leaves and roots, respectively. Totally, more than 3,000 putative targets of conserved miRNAs were identified in both degradome profiles by using the SeqTar algorithm. These results clearly enhanced our understanding about small RNA guided gene regulations in Camellia sinensis.
2020-12-31 | GSE138148 | GEO
Project description:MicroRNAs (miRNAs) are a type of small non-coding RNAs, which play important roles in plant growth, development and stress responses. Tea (Camellia sinensis) prepared from tea tree is the oldest and most popular nonalcoholic beverages in the world, and has large economic, medicinal and cultural significance. Nevertheless, there are a few studies on the miRNAs and their functions in Camellia sinensis. We sequenced 9 small RNA libraries and 9 RNA-Seq libraries from roots, leaves and flowers tissues. Through comprehensive computational analyses of 9 small RNA profiles, we identified 200 conserved miRNAs of which 138 have not been reported, and 56 novel miRNAs with 33 have not been reported. Nearly, two thousands genes have significantly different expression levels in tissues. In order to identify targets of miRNAs, we sequenced two degradome profiles from leaves and roots, respectively. Totally, more than 3,000 putative targets of conserved miRNAs were identified in both degradome profiles by using the SeqTar algorithm. These results clearly enhanced our understanding about small RNA guided gene regulations in Camellia sinensis.
2020-12-31 | GSE138149 | GEO
Project description:Tea (Camellia sinensis (L.) O. Kuntze) is an important non-alcoholic commercial beverage crop. Tea tree is a perennial plant, and winter dormancy is its part of biological adaptation to environmental changes. We recently discovered a novel tea tree cultivar that can generate tender shoots in winter, but the regulatory mechanism of this ever-growing tender shoot development in winter is not clear. In this study, we conducted a proteomic analysis for identification of key genes and proteins differentially expressed between the winter and spring tender shoots, to explore the putative regulatory mechanisms and physiological basis of its ever-growing character during winter.
2022-02-23 | PXD008958 | Pride
Project description:To identify the important genetic resources of tea oil accumulation and quality formation in Camellia oleifera, an important woody edible oil tree native to Southern China, we have designed and customized an expression profile chip of C. oleifera with 8×60 K on the basis of transcriptome sequencing of multiple tissue samples including kernels, roots, and leaves from multiple varieties. we used the mcroarrays to determine the gene expressions in kernel development of C. oleifera elite varieties'Huashuo' , 'Huaxin' , 'Huajin' and 'Jujian' respectively. Microarray results indicated a total of 10710 gene probes showed stable differential expression in the comparation of August vs June and 9987 in the comparation of October vs August. PATHWAY enrichment results of DEGs indicated that the oil synthesis and accumulation occured in the whole kernel development of C. oleifera, but were mainly concentrated from the nutrition high-speed synthesis period to the seed mature period, which was consistent with the variation trend of oil content and fatty acide composition in C. oleifera kernel development.
2020-03-11 | GSE146709 | GEO
Project description:Camellia nitidissima is renowned for its distinctive golden-colored flowers and serves as a valuable resource for cultivating various yellow camellia varieties. we employed the Tandem Mass Tag (TMT) to construct a proteome map of C. nitidissima petals at five different developmental stages. As a result, we identified a total of 302,845 spectra and obtained 49,358 peptides or protein fragments through spectral analysis, including 45,798 specific peptides and 8,498 proteins, of which 6,789 proteins were quantified. Analysis of the number distribution of peptide sequences revealed that most of the identified proteins contained fewer than 5 peptides. Specifically, 16.8% of the proteins mapped to a single peptide, and the number of proteins decreased as the number of matched peptides increased. The proteins’ relative molecular masses were mainly in the range of 10-60 kDa, with proteins less than 60 kDa accounting for 80.91% of the total identified proteins.
2024-10-19 | PXD042944 | Pride
Project description:To identify the putative genes involved in theacrine biosynthesis in tea plant, we carried out comparative transcriptome analysis of Kucha (K6 and K11) and conventional varieties (YH 9 and QX 1).
2020-12-16 | GSE163231 | GEO
Project description:We report the expression analysis of seed kernel in Camellia oleifera cultivars. In total 221 cultivars are sequenced by the Illumina sequencing experiments to obtain the gene expression profiles.
2021-12-12 | GSE190644 | GEO
Project description:Anthracnose disease is caused by Colletotrichum gloeosporioides, and is common in leaves of the tea plant Camellia sinensis. MicroRNAs (miRNAs) have been known as key modulators of gene expression in defense responses; however, the role of miRNAs in tea plant during defensive responses to C. gloeosporioides remains unexplored. Six miRNA sequencing data sets and two degradome data sets were generated from C. gloeosporioides-inoculated and control tea leaves. A total of 485 conserved and 761 novel miRNAs were identified. Of those, 239 known and 369 novel miRNAs exhibited significantly differential expression under C. gloeosporioides stress. 1134 and 596 mRNAs were identified as targets of 389 and 299 novel and conserved miRNAs by degradome analysis, respectively. The expression levels of twelve miRNAs and their targets were validated by quantitative real-time PCR. The predicted targets of five interesting miRNAs were further validated through 5'RLM-RACE. Furthermore, Gene Ontology and metabolism pathway analysis revealed that most of the target genes were involved in translation, carbohydrate metabolism and signal transduction pathways. This study enriches the resources of defense-responsive miRNAs and their targets in C. sinensis, and thus, provides novel insights into the miRNA-mediated regulatory mechanisms underlying immunity responses to biotic stress in tea plant.
2019-04-10 | GSE119728 | GEO