Project description:The study was conducted in order to find out the differential change in the transcript of tolerant and susceptible wheat cultivar under heat stress and to decipher the mechanism of thermotolerance in wheat by identifying novel genes and transcription factors involved in the pathways. Wheat cultivar HD2985 (thermotolerant) and HD2329 (thermosusceptible) were exposed to heat stress of 42 degree for 4h at pollination stage and samples were collected from both control and heat shock treated plants for further characterization.

2012-08-31 | E-MTAB-4370 | biostudies-arrayexpress

Triticum aestivum strain:HD2329 + Lr28 HD2329 - Lr28

Project description:Triticum aestivum strain:HD2329 + Lr28 HD2329 - Lr28 Transcriptome or Gene expression

| PRJNA182354 | ENA

Triticum aestivum strain:HD2985, HD2329

Project description:Triticum aestivum strain:HD2985, HD2329 Transcriptome or Gene expression

| PRJNA171754 | ENA

Triticum aestivum subsp. yunnanense cultivar:HD2985 and HD2329

Project description:Triticum aestivum subsp. yunnanense cultivar:HD2985 and HD2329 Transcriptome or Gene expression

| PRJNA270262 | ENA

Triticum aestivum isolate:stress | cultivar:RAJ3765

Project description:Triticum aestivum isolate:stress | cultivar:RAJ3765 Raw sequence reads

| PRJNA435652 | ENA

The TriMet_DB: a manually curated database of the metabolic proteins of Triticum aestivum

Project description:Mass spectrometry-based wheat proteomics is challenging because the current interpretation of mass spectrometry data relies on public databases that are not exhaustive (UniProtKB/Swiss-Prot) or contain many redundant and poor or un-annotated entries (UniProtKB/TrEMBL). Here we report the development of a manually curated database of the metabolic proteins of Triticum aestivum (hexaploid wheat), named TriMet_DB (Triticum aestivum Metabolic Proteins DataBase). The manually curated TriMet_DB was generated in FASTA format, so that it can be read directly by programs used to interpret the mass spectrometry data. Furthermore, the complete list of entries included in the TriMet_DB is reported in a freely available resource, which includes for each protein the description, the gene code, the protein family,and the allergen name (if any). To evaluate its performance, the TriMet_DB was used to interpret the mass spectrometry data acquired on the metabolic protein fraction extracted from the MEC cultivar of Triticum aestivum.

2023-03-11 | PXD037709 | Pride

Genome-wide Identification of Fusarium graminearum-Responsive lncRNAs in Triticum aestivum

Project description:We identified the long non-coding RNAs (lncRNAs) in Triticum aestivum infected with Fusarium graminearum by high-throughput RNA sequencing. More than 393 million clean reads were obtained from Illumina Hiseq 4000 system and 126,391 transcripts was identified as high-confidence lncRNAs in T. aestivum against F. graminearum by an integrated approach. Already well over 4,130 of the total 4,276 differentially expressed lncRNAs were specifically expressed at 12 h post-inoculation (hpi), but only 89 of these were specifically expressed at 24 hpi, indicating that the initial stage was the crucial stage for lncRNA-mediated gene regulation of wheat defense against F. graminearum. Target analysis showed the lncRNAs participated in various biological stress processes.

2023-09-18 | GSE158213 | GEO

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