Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [DAP-Seq]

ABSTRACT: Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [DAP-Seq]

PROVIDER: PRJNA703960 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13762900_1.fastq.gz	Fastqsanger.gz
	SRR13762900_2.fastq.gz	Fastqsanger.gz
	SRR13762901_1.fastq.gz	Fastqsanger.gz
	SRR13762901_2.fastq.gz	Fastqsanger.gz
	SRR13762902_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 238

Similar Datasets

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [DAP-Seq]

Project description:The yield of wheat is highly impacted by environmental stresses. The combinatorial regulation of sequence-specific transcription factors(TFs) defines a regulatory network that underlies plant stress responses. Here we created a comprehensive catalog of genomic binding sites of 115 TFs underlying abiotic stress responses by leveraging DAP-seq in Triticum Urartu, along with epigenomic profiles. The majority of gene distant TF binding sites(TFBS) are embedded in transposable elements(TEs), whose functional relevance was supported by a signature of purifying selection and active epigenomic features. Furthermore, ~30% non-TE TFBS share high sequence similarity with TE-embeded TFBS, potentially derived from Triticeae-specific TEs and have almost no sequence homology in non-Triticeae species. The expansion of TE-derived TFBS in wheat linked to wheat-specific stress responsive genes, suggesting that TEs are an important driving force for regulatory innovation. Altogether, TEs have significantly and continuously shaped regulatory network in wheat adaptation.

2021-08-31 | GSE167227 | GEO

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements I

2021-08-31 | GSE167228 | GEO

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [ChIP-Seq]

2021-08-31 | GSE182693 | GEO

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements

Project description:Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements

| PRJNA703958 | ENA

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements I

Project description:Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements I

| PRJNA703956 | ENA

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [ChIP-Seq]

Project description:Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements [ChIP-Seq]

| PRJNA757431 | ENA

Evolutionary rewiring of wheat abiotic stress responsive network by lineage-specific transposable elements

Project description:This SuperSeries is composed of the SubSeries listed below.

2021-08-30 | GSE167229 | GEO

Widespread contribution of transposable elements to the rewiring of mammalian 3D genomes

Project description:Widespread contribution of transposable elements to the rewiring of mammalian 3D genomes

| PRJNA922468 | ENA

SWIZ DAP-Seq

Project description:SWIZ DAP-Seq

| PRJEB42851 | ENA

Transcriptome analysis reveals crosstalk of responsive genes to multiple abiotic stresses in cotton (Gossypium hirsutum L.)

Project description:Abiotic stress is a major environmental factor that limits cotton growth and yield, moreover, this problem has become more and more serious recently and multiple stresses often occur simultaneously due to the global climate change and environmental pollution. We used microarrays to analyze the crosstalk of responsive genes to multiple abiotic stresses including ABA, cold, drought, salinity and alkalinity in cotton. Cotton seedlings with different abiotic stress treatment were selected at 14-day after germination for RNA extraction and hybridization on Affymetrix microarrays. We sought to identify genes involved in diverse stresses including abscisic acid (A), cold (C), drought (M), salinity (N) and alkalinity (P) by comparative microarray analysis (3 biological replicates for each abiotic stress treatment).

2013-09-12 | E-GEOD-50770 | 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