Camellia oleifera
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ABSTRACT:
PROVIDER: PRJNA292037 | ENA |
REPOSITORIES: ENA
Similar Datasets
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: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: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 | 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 | GSE138148 | 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:The RNA-Seq was used to analyze the expression profiling of genes in different ablescent stages of 'Anji Baicha' Examination of three tea leaf samples in yellow stage, white stage and green stage
2016-09-01 | E-GEOD-66615 | biostudies-arrayexpress
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.
2023-03-11 | PXD035406 | Pride