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Triticum aestivum

ABSTRACT: Triticum aestivum and Blumeria graminis f. sp. tritici Raw sequence reads

PROVIDER: PRJNA401295 | ENA |

REPOSITORIES: ENA

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Dataset's files

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			Action	DRS
	SRR6026480_1.fastq.gz	Fastqsanger.gz
	SRR6026480_2.fastq.gz	Fastqsanger.gz
	SRR6026490_1.fastq.gz	Fastqsanger.gz
	SRR6026490_2.fastq.gz	Fastqsanger.gz
	SRR6026500_1.fastq.gz	Fastqsanger.gz

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Project description:Stripe rust (Puccinia striiformis f. sp. tritici; Pst) and powdery mildew (Blumeria graminis f. sp. tritici; Bgt) are important diseases of wheat (Triticum aestivum) worldwide. Similar mechanisms and gene transcripts are assumed to be involved in the host defense response because both pathogens are biotrophic fungi. The main objective of our study was to identify co-regulated mRNAs that show a change in expression pattern after inoculation with Pst or Bgt, and to identify mRNAs specific to the fungal stress response. In the present study, cDNA libraries were constructed from leaves inoculated with Pst or Bgt at 0, 1, 2 and 3 days post-inoculation (dpi) with three biological replicates, and then sequenced using the Illumina HiSeq™ 2000 platform. Note: Samples in SRA were assigned the same sample accession. This is incorrect as there are different samples, hence “Source Name” was replaced with new values. Comment[ENA_SAMPLE] contains the original SRA sample accessions.

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Project description:The take-all disease caused by the soilborne fungus Gaeumannomyces graminis var tritici (Ggt) is one of the most-studied and widespread root diseases worldwide. Here, we investigated the ability of the earthworm Aporrectodea caliginosa to induce take-all disease tolerance in Triticum aestivum.

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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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