Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ABSTRACT: RNA-Seq of cotton leaves induced by cotton aphids

PROVIDER: PRJNA576973 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR10259619_1.fastq.gz	Fastqsanger.gz
	SRR10259619_2.fastq.gz	Fastqsanger.gz
	SRR10259620_1.fastq.gz	Fastqsanger.gz
	SRR10259620_2.fastq.gz	Fastqsanger.gz
	SRR10259621_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 12

Similar Datasets

RNA-Seq study of 3-days larva and pupa in Lysiphlebia japonica

Project description:Parasitoids were considered to have the ability to synthesize the lipid. The cotton aphids were parasitized by Lysiphlebia japonica, and Lysiphlebia japonica obtained lipids from cotton aphids. In our study, we get the 3 days larva and pupa from cotton aphids and analysis the expression of the genes involved in the lipid related pathway of these two developmental stages.

2018-10-10 | E-MTAB-5227 | biostudies-arrayexpress

RNA-Seq study of lipid regulation in Aphis gossypii parasitized by Lysiphlebia japonica

Project description:Parasitoids were considered to have the ability to synthesize the lipid. The cotton aphids were parasitized by Lysiphlebia japonica, and Lysiphlebia japonica obtained lipids from cotton aphids. In our study,we get the 3 days parasitized aphids and unparasitized aphids and analysis the expression of the genes involved in the lipid related pathway.

2018-10-10 | E-MTAB-5228 | biostudies-arrayexpress

Differential accumulation of small RNAs and microRNAs during ovule and fiber development in allotetraploid cotton

Project description:To examine expression of miRNAs in cotton fiber development, we employed miRNA microarrays and compared miRNA accumulation level in cotton fibers, cotton leaves and mutant fibers.

2009-12-31 | GSE16986 | GEO

Aphis gossypii

Project description:Small RNA-seq analysis of miRNAs in cotton-melon aphids

| PRJNA495733 | ENA

Transcriptional response to soybean aphid infestation in susceptible and resistant soybean plants

Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. We used microarrays to characterize the soybean plant's transcriptional defense against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured trancript levels in leaves after one and seven days of aphid infestation.

2012-01-31 | GSE35427 | GEO

Project description:Microbiome diversity of cotton aphids

| PRJNA591256 | ENA

Transcriptional response to long-term soybean aphid infestation in susceptible and resistant soybean plants

Project description:Soybean aphids are phloem-feeding pests that can cause significant yield losses in soybean plants. Soybean aphids thrive on susceptible soybean lines but not on resistant lines. Aphids do not normally kill their host and colonize plants for long periods of time, up to several months in soybean. However, our knowledge of plant responses to long-term aphid colonization is very limited. We used microarrays to characterize the soybean plant's transcriptional response against aphids in two related cultivars, a susceptible line and a resistant line with the Rag1 aphid-resistance gene. We measured transcript levels in leaves after 21 days of aphid infestation.

2018-06-15 | GSE115790 | GEO

Expression of small RNA in Aphis gossypii and its potential role in the resistance interaction with melon

Project description:This study was designed to identify the sRNAs in Aphis gossypii (cotton-melon aphid) during Vat-mediated resistance in teraction with melon Methods: Whole insects were collected from susceptible (Vat-) and resistant (Vat+) plants after 48 hours of feeding. Total RNA was extracted from the aphids and enriched for LMW RNA and small RNA libraries were constructed using standard protocols and deep sequenced using Illumina GAII analyzer.

2013-06-01 | E-GEOD-38641 | biostudies-arrayexpress

Next Generation Sequencing Facilitates Quantitative Analysis of Differentially Expressed Genes and Transcriptional Regulation Induced by Salt Stress in Upland Cotton

Project description:Purpose:Identification of genes and miRNAs responsible for salt tolerance in upland cotton (Gossypium hirsutum L.) would help reveal the molecular mechanisms of salt tolerance. We performed physiological experiments and transcriptome sequencing (mRNA-seq and small RNA-seq) of cotton leaves under salt stress using Illumina sequencing technology. And quantitative reverse transcription polymerase chain reaction (qRT–PCR) methods and to evaluate protocols for optimal high-throughput data analysis Methods:We investigated two distinct salt stress phases—dehydration (4 h) and ionic stress (osmotic restoration; 24 h)—that were identified by physiological changes of 14-day-old seedlings of two cotton genotypes, one salt tolerant and the other salt sensitive, during a 72-h NaCl exposure. A comparative transcriptomics approach was used to monitor gene and miRNA differential expression at two time points (4 and 24 h) in leaves of the two cotton genotypes under salinity conditions. Results:During a 24-h salt exposure, 819 transcription factor unigenes were differentially expressed in both genotypes, with 129 unigenes specifically expressed in the salt-tolerant genotype. Under salt stress, 108 conserved miRNAs from known families were differentially expressed at two time points in the salt-tolerant genotype. Conclusions:Our comprehensive transcriptome analysis has provided new insights into salt-stress response of upland cotton. The results should contribute to the development of genetically modified cotton with salt tolerance.

2017-06-18 | GSE58655 | GEO

Expression data from the process of chilling stress causing Alternaria alternata infection and leading to cotton leaf senescence

Project description:Cotton premature leaf senescence often occurred with an increasing frequency in many cotton growing areas and caused serious reduction in yield and quality of cotton has been one of the impontant factors that restrict severely the production of cotton.Our laboratory studies showed chilling stress is the key factor that induced A. alternatia infection, caused Alternaria disease and then lead to cotton leaf senescence, but the molecular mechanism of cotton premature leaf senscence is still unclear. We used microarrays to study molecular mechanism of chilling stress causing Alternaria alternata infection and leading to cotton leaf senescence and find the key genes during this process. Plants were grown in growth chamber with a 14/10 hours photoperiod, 28â/22â. Three-to-four leaves stage cotton plants were pre-treated by chilling stress with the low temperatures of 16/12â day/night for a fixed time length of 3 days. While, the normal growth plants were sustained growing at optimal temperature of 28/20â day/night. And then, both chilling stress pre-treated and normal growth cotton plants were inoculated with Alternaria. alternata isolate A1. The mock inoculations were performed with sterilized water. Cotton leaf Samples were respectively collected at 3, 6 days after inoculation (DAI) for RNA extraction and hybridization on Affymetrix microarrays. To that end, we collected 8 samples, i.e. chilling stress pre-treated cotton leaves: 3 DAI (C) and its mock control (D), 6 DAI (E) and its mock control (F); normal growth cotton leaves: 3 DAI (H) and its mock control (I), 6 DAI (J) and its mock control (K). All samples were arranged in completely randomized designed with three replications for each treatment.

2015-10-28 | E-GEOD-74412 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data