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Transcriptional analyses of wheat responses to the necrotrophic effector SnTox3

ABSTRACT: Wheat (Triticum aestivum) was infiltrated with the Stagonospora nodorum effector protein SnTox3 to identify differentially regulated genes.

ORGANISM(S): Triticum aestivum

PROVIDER: GSE59723 | GEO | 2014/07/25

SECONDARY ACCESSION(S): PRJNA256040

REPOSITORIES: GEO

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Transcriptional analyses of wheat responses to the necrotrophic effector SnTox3

Project description:Wheat (Triticum aestivum) was infiltrated with the Stagonospora nodorum effector protein SnTox3 to identify differentially regulated genes. SnTox3 was isolated from P. pastoris expression strains, purified and infiltrated into the susceptible wheat line BG220. Samples were collected 6, 12, 24 and 48 hours post infiltration (hpi) in biological triplicates. Total RNA was isolated and used for microarray analysis with the Affymetrix GeneChip Wheat Genome Array following the manufactures instructions. Resulting data were analysed using the Partek Genomics Suite.

2014-07-25 | E-GEOD-59723 | biostudies-arrayexpress

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Project description:One day cold treatment of wheat (Triticum aestivum L.) lines Chinese Spring, Cheyenne and two 5A chromosome substitution lines of Chinese Spring, Chinese Spring(Cheyenne 5A) and Chinese Spring(Spelta 5A)

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Transcriptome of Triticum aestivum genotypes associated with resistance against the Wheat dwarf virus

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.

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