Ontology highlight
ABSTRACT:
PROVIDER: PRJNA794986 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Purpose: We investigated root foraging strategies for K of tea plants using a multi-layer split-root system by RNA-seq. Methods: One-year old tea cuttings were cultivated with the roots evenly planted on the two sides of the split root hydroponic box with a root canal. Three treatments were included to simulate the heterogeneous and homogeneous K environments. After 5d treatment, the roots on the two sides of the split root hydroponic box were collected separately and the RNA sequencing were analyzed by the Illumina Hiseq (2500, Illumina, San Diego, CA). Results: RNA-seq data had a linear relationship with qRT–PCR (r2=0.76), which confirmed the reliability of the RNA-seq data. Conclusions: Our study screened the key genes of tea root system to adapt to potassium heterogeneity.
2022-08-17 | GSE198198 | GEO
Project description:In this study, it is noticeable that 32 tea-specific miRNAs were confirmed on the base of genome survey, using deep sequencing and microarray hybridization, and many miRNAs might associate with secondary metabolites synthesis. Leaves, buds and roots were collected
2016-03-14 | E-GEOD-68267 | biostudies-arrayexpress
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: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