Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: MicroRNAs (miRNAs) analysis of tea leaves during the infection by the tea leaf spot pathogen, Epicoccum nigrum

PROVIDER: PRJNA811108 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18163558.fastq.gz	Fastqsanger.gz
	SRR18163559.fastq.gz	Fastqsanger.gz
	SRR18163560.fastq.gz	Fastqsanger.gz
	SRR18163561.fastq.gz	Fastqsanger.gz
	SRR18163562.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 6

Similar Datasets

Project description:The messenger RNAs (mRNAs) of tea leaves during the infection by the tea leaf spot pathogen, Epicoccum nigrum

| PRJNA810983 | ENA

Influence of Cochliobolus miyabeanus and silicon on gene expression in rice leaves (Oryza sativa L.)

Project description:Although Cochliobolus miyabeanus is an important fungal leaf pathogen on rice plants worldwide, it is largely neglected by molecular plant phytopathologists. To shed new light on the molecular and genetic basis of the rice – C. miyabeanus interaction, we compared the transcriptome of rice leaves 12h post inoculation to uninfected leaves. Even though usable sources of resistance against brown spot disease caused by C. miyabeanus are scarce, silicon application emerges as a sustainable protection strategy. Many articles report the beneficial effect of silicon on brown spot resistance. however the underlying mechanisms remain largely unclear. The influence of silicon application on the transcriptome of healthy and infected rice leaves 12hpi was compared as well in an attempt to disentangle the modulation of silicon-induced brown spot resistance.

2014-02-25 | GSE55330 | GEO

Black pepper proteome - Transcriptome- Assisted Label-Free Quantitative Proteomics Analysis Reveals Novel Insights into Piper nigrum-Phytophthora capsici Phytopathosystem

Project description:In this study, we have evaluated the proteomic changes that occur in Piper nigrum L.(black pepper) after infection by the pathogen Phytophthora capsici. We report novel leaf proteins from black pepper identified by an integrated transcriptome-assisted label-free quantitative proteomics pipeline. Several previously described methods were used to create this data set. Detached leaves were inoculated with either mock treatment, or the oomycete pathogen and small tissue samples only around the site of inoculation were collected for protein sample preparations. In order to quantify protein abundance in the samples being compared, we used a label free method of spiking samples with a known ratio of pre-digested peptide samples to normalize endogenous protein abundance in the MS detection. Our study attempts to explain the basal immune components of black pepper when challenged with P. capsici.

2016-07-07 | PXD003887 | Pride

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.

2019-04-10 | GSE119728 | GEO

Lasiodiplodia theobromae strain:CGMCC3.20151

Project description:The messenger RNAs (mRNAs) of tea leaves during the infection by the tea leaf spot pathogen, Lasiodiplodia theobromae, under the stress of temperatures

| PRJNA752965 | ENA

Xinyang Maojian green tea (Camellia sinensis) microRNAs data in different leaf development stages.

Project description:The microRNAs reveal the molecular mechanism involved in the regulation of leaf development in Xinyang Maojian green tea.

2023-03-05 | GSE224544 | GEO

Gene expression in sweet orange infested by Lecanicillium psalliotae

Project description:To verify the pathogenicity of Lecanicillium psalliotae invasive pathogens on tsearch leaves, Lecanicillium psalliotae was identified by isolation and purification. sweet orange leaves were infested with it. The results of the experiments showed that 15 days after Lecanicillium psalliotae infested the leaves of sweet orange, yellow spots grew around the pores and irregular yellow spots appeared on both sides of the leaf veins. This was highly similar to the disease in the field, suggesting that Lecanicillium psalliotae is the causal agent of the yellow spots on sweet orange leaves that cause the leaves to wilt and fall off. In previous studies, Verticillium cutaneum was mainly identified as a biological control agent and a suspected pathogen. In this study, the pathogenicity of Verticillium cutaneum was verified for the first time as a causal agent of leaf spot disease of plants.

2023-09-09 | GSE234373 | GEO

Transcriptomic profiling of Triticum aestivum L. cv Thatcher at 0, 7 and 14 days post infection with Puccinia triticina TBDG (11-180-1)

Project description:Differential gene expression analysis of RNASeq data from flag leaves from Triticum aestivm L. cv Thatcher at different time points and infection statuses upon infection with the leaf rust pathogen Pucinia triticina TBDG (11-180-1).

2023-05-20 | GSE232575 | GEO

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 [RNA-seq]

2020-12-31 | GSE138148 | GEO