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Camellia sinensis

ABSTRACT: Transcriptome analysis reveals the mechanism of tea plant response to drought stress between leaves and roots

PROVIDER: PRJNA900152 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR22271122_1.fastq.gz	Fastqsanger.gz
	SRR22271122_2.fastq.gz	Fastqsanger.gz
	SRR22271123_1.fastq.gz	Fastqsanger.gz
	SRR22271123_2.fastq.gz	Fastqsanger.gz
	SRR22271124_1.fastq.gz	Fastqsanger.gz

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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

Characterizing microRNAs and their targets in differnt organs of Camellia sinensis [miRNA-seq]

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Characterizing microRNAs and their targets in differnt organs of Camellia sinensis [RNA-seq]

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Identification of conserved and species-specific microRNAs in tea plant (Camellia sinensis) by deep sequencing

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

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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.

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Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis [microarray]

Project description:Solexa sequencing technology was used to perform high throughput sequencing of the small RNA library from the cold treatment of tea leaves. Subsequently, aligning these sequencing date with plant known miRNAs, we characterized 112 C. sinensis conserved miRNAs. In addition, 215 potential candidate miRNAs were found; among them, 131 candidates with star sequence were chosen as novel miRNAs. There are both congruously and differently regulated miRNAs, and line-specific miRNAs were identified by microarray-based hybridization in response to cold stress. The miRNA chip included 3228 miRNA probes corresponding to miRNA transcripts listed in Sanger miRBase release 19.0 and 283 novel miRNAs probes founding in tea plant. In the study presented here, two tea plant cultivars, ‘Yingshuang’ (YS, a cold-tolerant tea plant cultivar) and ‘Baiye 1’ (BY, a cold-sensitive tea plant cultivar), were kept at 4°C for 4,12, 24 h, respectively, and 28°C for as control. These samples were used to acquire expression profiles of a total of 3,511 unique genes, leading to the successful construction of supervised

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Identification of regulatory networks of microRNAs and their targets in immunity to Colletotrichum gloeosporioides in tea plant (Camellia sinensis L.)

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.

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Identification and characterization of cold responsive microRNAs in tea plant (Camellia sinensis) based on high-throughput sequencing and their targets using degradome analysis [microarray]

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Identification and Differential Expression of MicroRNAs during Cold Acclimation of the Tea Plant (Camellia sinensis) by Deep Sequencing

Project description:In this study, we performed deep sequencing and bioinformatics analyses of tea plant leaves to identify and characterize known and novel miRNAs. A total of 26,876,261 raw reads were produced from 2 libraries. We detected 422 known miRNAs belonging to 125 families, and 68 putative novel miRNAs.

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Project description:Multilayer landscape analyses reveal the regulation of tea plant in response to drought stress

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