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.
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.
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.
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.
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.
Project description:Self-inhibition of pollen tubes plays a key role in SI, but the underlying mechanism in Camellia oleifera is poorly understood. Collection of secreted proteins from Camellia oleifera pollen tubes and ovaries for high-throughput sequencing.
Project description:Camellia sinensis var. sinensis, Camellia sinensis var. assamica, Camellia taliensis, Camellia taliensis var. bangwei, Camellia crassicolumna and Camellia tachangensis Targeted Locus (Loci)
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).