Triticum aestivum
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ABSTRACT:
PROVIDER: PRJNA109823 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Stripe rust, caused by Puccinia striiformis f. sp. tritici, is a destructive disease of wheat worldwide. Genetic resistance is the preferred method for controlling stripe rust, of which two major types are race-specific and race non-specific resistance. Race-specific resistance includes the qualitatively inherited all-stage resistance, controlled by single major resistance (R) genes. Conversely, adult-plant resistance is race non-specific, inherited quantitatively, and is durable. Previously, we characterized the gene expression signatures involved in Yr5-controlled all-stage resistance and Yr39-controlled adult-plant resistance using the Affymetrix Wheat GeneChip. For this study, we designed and constructed custom oligonucleotide microarrays containing probes for the 116 and 207 transcripts that we had found important for the Yr5 and Yr39 resistance responses, respectively. We used this custom microarray to profile the resistance responses of eight wheat genotypes with all-stage resistance (Yr1, Yr5, Yr7, Yr8, Yr9, Yr10, Yr15, and Yr17). The aim of this analysis was to identify common and unique gene expression signatures involved in race-specific resistance accross genotypes, which were used to infer information regarding the general pathways involved in all-stage resistance. Keywords: Stress response
2009-05-01 | GSE13346 | GEO
Project description:Identifying candidate genes conferring all-stage resistance to stripe rust on chromosome 1AL of Chinese wheat landrace AS1676
| PRJNA1058226 | ENA
Project description:Cloning of wheat rust resistance gene Lr47
| PRJNA1057455 | ENA
Project description:To better understand the regulatory mechanisms of water stress response in wheat, the transcript profiles in roots of two wheat genotypes, namely, drought tolerant 'Luohan No.2' (LH) and drought susceptible 'Chinese Spring' (CS) under water-stress were comparatively analyzed by using the Affymetrix wheat GeneChip®. A total of 3831 transcripts displayed 2-fold or more expression changes, 1593 transcripts were induced compared with 2238 transcripts were repressed, in LH under water-stress; Relatively fewer transcripts were drought responsive in CS, 1404 transcripts were induced and 1493 were repressed. Comparatively, 569 transcripts were commonly induced and 424 transcripts commonly repressed in LH and CS under water-stress. 689 transcripts (757 probe sets) identified from LH and 537 transcripts (575 probe sets) from CS were annotated and classified into 10 functional categories, and 74 transcripts derived from 80 probe sets displayed the change ratios no less than 16 in LH or CS. Several kinds of candidate genes were differentially expressed between the LH and CS, which could be responsible for the difference in drought tolerance of the two genotypes.
2012-01-01 | GSE30872 | GEO
Project description:To better understand the regulatory mechanisms of water stress response in wheat, the transcript profiles in roots of two wheat genotypes, namely, drought tolerant 'Luohan No.2' (LH) and drought susceptible 'Chinese Spring' (CS) under water-stress were comparatively analyzed by using the Affymetrix wheat GeneChip®. A total of 3831 transcripts displayed 2-fold or more expression changes, 1593 transcripts were induced compared with 2238 transcripts were repressed, in LH under water-stress; Relatively fewer transcripts were drought responsive in CS, 1404 transcripts were induced and 1493 were repressed. Comparatively, 569 transcripts were commonly induced and 424 transcripts commonly repressed in LH and CS under water-stress. 689 transcripts (757 probe sets) identified from LH and 537 transcripts (575 probe sets) from CS were annotated and classified into 10 functional categories, and 74 transcripts derived from 80 probe sets displayed the change ratios no less than 16 in LH or CS. Several kinds of candidate genes were differentially expressed between the LH and CS, which could be responsible for the difference in drought tolerance of the two genotypes. Two common wheat (Triticum aestivum L.) cultivars, Luohan No.2 (LH) and Chinese Spring (CS), were used for this study. Seedlings at the two leaf stage were stressed by cultured in PEG solutions for 6h, and some other seedlings were cultured in tap water as control. Root samples of LH and CS at 6h after the stress treatment and untreated control were prepared for microarray analysis.
2012-01-01 | E-GEOD-30872 | biostudies-arrayexpress
Project description:We collected infected wheat leaf material at up to nine time points per Z. tritici isolate and conducted confocal microscopy analyses to select samples for RNA extraction and transcriptome sequencing based on the morphological infection stage. Thereby, we generated stage-specific RNA-seq datasets corresponding to the four core infection stages allowing us to compare the isolate-specific expression profiles at the same developmental stage of infection. Our final dataset comprises four stage-specific transcriptomes per isolate with two biological replicates per sample. Comparative transcriptome analyses reveal that the expression phenotypes of the three isolates differ significantly.
2018-04-25 | GSE106136 | GEO
Project description:Transcriptome analysis of a stem rust resistance locus on wheat chromosome 7AL
| PRJNA325136 | ENA
Project description:Transcript profiling of Lr1- and Lr34-mediated leaf rust resistance in wheat
| PRJNA103909 | ENA
Project description:The fungus Puccinia striiformis f.sp. tritici (PST) is the causal pathogen of stripe rust in wheat. New highly virulent PST races appeared at the beginning of this century and spread rapidly causing significant yield losses in wheat production worldwide. Race PST-08/21 was isolated in the UK in 2008 Yr1, Yr2, Yr3, Yr4, Yr6, Yr9, Yr17, Yr27, Yr32, YrRob, YrSol. We applied the RNAseq approach to refine the gene prediction in de novo assembled PST 08/21 contigs and to determine which genes are expressed during wheat infections. Total RNA was extracted from a pool of stripe rust infected wheat leaves and from two biological replicates of haustoria isolates.
2013-08-19 | E-GEOD-42496 | biostudies-arrayexpress
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