Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Camellia sinensis cultivar:Kuntze

ABSTRACT: Camellia sinensis cultivar:Kuntze Transcriptome or Gene expression

PROVIDER: PRJNA1123845 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR29483422_1.fastq.gz	Fastqsanger.gz
	SRR29483422_2.fastq.gz	Fastqsanger.gz
	SRR29483423_1.fastq.gz	Fastqsanger.gz
	SRR29483423_2.fastq.gz	Fastqsanger.gz
	SRR29483424_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 24

Similar Datasets

an evergrowing tea (Camellia sinensis L.) cultivar

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

Camellia sinensis cultivar:O. Kuntze

Project description:Camellia sinensis cultivar:O. Kuntze Raw sequence reads

| PRJNA306068 | ENA

Characterizing microRNAs and their targets in differnt organs of Camellia sinensis [degradome]

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