Triticum aestivum
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA325136 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3655270.fastq.gz | Fastqsanger.gz | |||
| SRR3655280.fastq.gz | Fastqsanger.gz | |||
| SRR3655290.fastq.gz | Fastqsanger.gz | |||
| SRR3655271.fastq.gz | Fastqsanger.gz | |||
| SRR3655281.fastq.gz | Fastqsanger.gz |
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Project description:Aim:To characterise a recently discovered stem rust resistance locus on wheat chromosome 7AL. Transcriptome analysis by RNA-sequencing, in association with microscopic observations, was used to compare responses to the Puccinia graminis f. sp. tritici pathogen of the susceptible line Columbus, and two independent backcrossed resistant lines containing the locus, Columbus-NS765 and Columbus-NS766. Results: Microscopic observations of infected leaves revealed that the resistance conferred by the 7AL resistance locus was initiated by two days post-inoculation, upon the entry of the stem rust fungus into the plant through the stoma. Death of guard and epidermal cells adjacent to the fungal points of entry was observed to be clearly more frequent in resistant lines than in the susceptible genotype, suggesting that the resistance response is similar in all genotypes, but enhanced in the resistant lines. Transcriptomic analysis, combined with assignment of genes to wheat chromosomes, revealed a disporportionately high number of differentially expressed genes were located on chromosomes 7AL and 6A. A number of genes annotated as cysteine-rich receptor-like kinases were located on chromosome 7AL. Closer investigation indicated that the encoded proteins were in fact putative receptor-like cytoplasmic kinases (RLCKs). One of the putative RLCK genes contained a SNP marker previously shown to co-segregate with the 7AL resistance locus. The large number of differentially expressed genes on chromosome 6A indicated the presence of a large introgression on this chromosome that co-segregated with stem rust resistance in the two independent resistant lines, but its role in the resistance response is currently unclear. Conclusions: This study represents the first transcriptome analysis of responses to stem rust in wheat, and the first investigation of the resistance conferred by the newly-discovered wheat 7AL stem rust resistance locus. Microscopy showed the resistance response was associated with pre-haustorial cell death. Results of the RNA-seq, which has the resolution to discriminate between homeologous wheat genes, along with assignment of differentially expressed genes to wheat chromosomes, suggested putative receptor-like cytoplasmic kinases linked to the 7AL locus as candidate resistance genes for further investigation.
2017-02-22 | GSE83149 | GEO
Project description:Cloning of wheat rust resistance gene Lr47
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Project description:Stem rust of wheat is a deleterious fungal disease across the globe causing severe yield losses. Although, many stem rust resistance genes (Sr) are being used in wheat breeding programs, new emerging stem rust pathotypes are a challenge to important Sr genes. In recent years, multiple studies on leaf and yellow rust molecular mechanism have been done, however, for stem rust such studies are lacking. Current study investigated stem rust induced response in the susceptible wheat genotype C306 and its Near Isogenic Line (NIL) for Sr24 gene, HW2004, using microarray analysis to understand the transcriptomic differences at different stages of infection. Results showed that HW2004 has higher basal levels of several important genes involved in pathogen detection, defence, and display early activation of multiple defence mechanisms. Further Gene Ontology (GO) and pathway analysis identified important genes responsible for pathogen detection, downstream signalling cascades and transcription factors (TFs) involved in activation and mediation of defence responses. Results suggest that generation of Reactive Oxygen Species (ROS), cytoskeletal rearrangement, activation of multiple hydrolases, and lipid metabolism mediated biosynthesis of certain secondary metabolites are collectively involved in Sr24-mediated defence in HW2004, in response to stem rust infection. Novel and unannotated, but highly responsive genes were also identified, which may also contribute towards resistance phenotype. Furthermore, certain DEGs also mapped close to the Sr24-linked marker on Thinopyrum elongatum translocated fragment on wheat 3E chromosome, which advocate further investigations for better insights of the Sr24-mediated stem rust resistance.
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Project description:sRNA transcriptome of wheat in response to stem rust and leaf rust interaction
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Project description:Comparative analysis of transcripts associated with all-stage resistance to stripe rust in wheat
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Project description:Identifying candidate genes conferring all-stage resistance to stripe rust on chromosome 1AL of Chinese wheat landrace AS1676
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Project description:Microarray analysis of leaf rust-induced bread wheat genes
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Project description:Transcript profiling of Lr1- and Lr34-mediated leaf rust resistance in wheat
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Project description:ChIP-Seq and RNA-Seq analysis for leaf rust resistance in wheat
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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.
2023-04-04 | GSE192518 | GEO