Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare NGS-derived Triticum aestivum transcriptome (RNA-seq) profiling methods and to evaluate genotypes associated with resistance against the Wheat dwarf virus. Methods: Triticum aestivum mRNA profiles of genotypes associated with resistance against the Wheat dwarf virus were generated by deep sequencing, in four replicates, using Illumina. The sequence reads that passed quality filters were analyzed at the transcript isoform level with two methods: Burrows–Wheeler Aligner (BWA) followed by ANOVA (ANOVA) and TopHat followed by Cufflinks. qRT–PCR validation was performed using TaqMan and SYBR Green assays. Conclusions: Our study represents the first detailed analysis of Triticum aestivum transcriptomes, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA and miRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.
Project description:Exposure to cold conditions is a major abiotic stress affecting crop growth and productivity. Elucidation of genetic mechanisms underlying response to low temperature is needed. To assess the relationship between the genes and the cold tolerance of wheat, transcriptomics analyses were performed to study changes in gene profiles of cultivar Jing 411 after cold acclimation and freezing treatment. The wheat cultivar Jing 411 was subjected to transcriptome sequencing. The RNA was sequenced on a HiSeq 2500 platform, and the generated data were analyzed using TopHat v2.0.
Project description:MS2 data for two Indian varieties of Triticum aestivum L. (Wheat). P1 to P5 files represent MS2 data in positive ESI mode whereas N1 to N5 files represent MS2 data in negative ESI mode.
Project description:Wheat (Triticum aestivum), one of the most important cereal crops, it provides many kinds of food for humans and animals, in this study, we performed the first comprehensive phosphoproteome analysis to study the regulatory mechanism of bread quality formation under different nitrogen fertilizer. Totally, 2470 phosphotides, represented 1372 proteins were identified in our study. and 411 proteins showed significant differences.
Project description:Wheat (Triticum aestivum) was infiltrated with the Stagonospora nodorum effector protein SnTox3 to identify differentially regulated genes.
Project description:Metabolism of halauxifen-methyl is regulated by genes on chromosome 5A of wheat (Triticum aestivum L.) [nullisomic-tetrasomic lines]
Project description:Triticum aestivum cultivars Scorpion 25 and Xi 19 were grown under both normal and hot/dry conditions. We compared the effect of these two growth conditions on these two closely related varieties.