Wheat leaf
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA923742 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR23092900.fastq.gz | Fastqsanger.gz | |||
| SRR23092901.fastq.gz | Fastqsanger.gz | |||
| SRR23092902.fastq.gz | Fastqsanger.gz | |||
| SRR23092903.fastq.gz | Fastqsanger.gz | |||
| SRR23092904.fastq.gz | Fastqsanger.gz |
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Project description:One week old bread wheat plantlets were artifically infected with Puccinia triticinae (the causal organism of wheat leaf rust) and samples were collected after one week from infection. Samples were collected after one week from infection, non infected as well. Two loacl varities were used MISR 1 and GEMMZA 7.
2014-07-20 | GSE55297 | GEO
Project description:The wheat gene Lr34 confers partial resistance to all races of Puccinia triticina, the causal agent of wheat leaf rust. However, the biological basis for the exceptional durability of Lr34 is unclear. The Affymetrix wheat genome array was used to identify wheat genes differentially expressed in a compatible interaction (Tc), an R-gene mediated incompatible interaction (Tc-Lr1), and a race non-specific resistance interaction (Tc-Lr34) in response to infection challenge by P. triticina race 1 at anthesis. Transcriptome interrogation was conducted by comparing mock- and P. triticina-inoculated leaves harvested at 3 and 7 days post inoculation (dpi). Keywords: Time course
2008-11-01 | GSE9915 | GEO
Project description:This dataset is associated with two publications 1. Elucidating the biochemical basis of trans-16:1 fatty acid change in leaves during cold acclimation in wheat. http://doi.org/10.1002/pei3.10044 In this study, comparative RNA-seq analyses with leaf tissues undergoing cold acclimation reveal concerted transcriptome shifts indicating a reduced chloroplast lipid pathway activity and increased cytosolic ER membrane lipid synthesis. To explore the underlying metabolic and transcriptional mechanisms responsible for the reduction of the t16:1 under cold, a detailed lipid analysis and comparative transcriptome study were conducted with four wheat cultivars during cold treatment. The RNA-seq dataset includes four wheat cultivars (Manitou, Winter Manitou, Norstar and Spring Norstar) treated with cold paired with control. The data as a whole show that leaf tissues experience a gradual decrease in chloroplast lipid pathway activity and the variation in the decline of chloroplast lipid synthesis in different cultivars manifest in the rate of decrease in t16:1decrease in leaf tissues. Future efforts are required to determine if and how the down regulation of the chloroplast lipid pathway is related to the development of winter hardiness. 2. Computational genomics insights into cold acclimation in wheat. https://doi.org/10.3389/fgene.2022.1015673 In this study, integrated computational approaches was employed to investigate the transcriptomics and lipidomics data associated with cold acclimation and vernalization in the four wheat genotypes of distinct cold tolerance. Differential expression was investigated between cold treated and control samples and between the winter-habit and spring-habit wheat genotypes. Collectively, 12,676 differentially expressed genes (DEGs) were identified. Principal component analysis of these DEGs indicated that the first, second, and third principal components (PC1, PC2, and PC3) explained the variance in cold treatment, vernalization and cold hardiness, respectively. Differential expression feature extraction (DEFE) analysis revealed that the winter-habit wheat genotype Norstar had high number of unique DEGs (1884 up and 672 down) and 63 winter-habit genes, which were clearly distinctive from the 64 spring-habit genes based on PC1, PC2 and PC3. Correlation analysis revealed 64 cold hardy genes and 39 anti-hardy genes. Cold acclimation encompasses a wide spectrum of biological processes and the involved genes work cohesively as revealed through network propagation and collective association strength of local subnetworks. Integration of transcriptome and lipidomics data revealed that the winter-habit genes, such as COR413-TM1, CIPKs and MYB20, together with the phosphatidylglycerol lipids, PG(34:3) and PG(36:6), played a pivotal role in cold acclimation and coordinated cohesively associated subnetworks to confer cold tolerance. Citations: http://doi.org/10.1002/pei3.10044 https://doi.org/10.3389/fgene.2022.1015673
2022-10-24 | GSE156300 | GEO
Project description:We used microarray to study the transcriptome response of wheat flag leaves to heat stress (40℃) In order to study the transcriptome response of wheat flag leaf to heat stress, wheat cultivar ‘TAM 107’ plants were subjected to heat stress (40℃). After 1 hour of stress, flag leaves were sampled from both stressed and control plants and were used for microarray analysis.
2015-08-13 | E-GEOD-60351 | biostudies-arrayexpress
Project description:The wheat gene Lr34 confers partial resistance to all races of Puccinia triticina, the causal agent of wheat leaf rust. However, the biological basis for the exceptional durability of Lr34 is unclear. The Affymetrix wheat genome array was used to identify wheat genes differentially expressed in a compatible interaction (Tc), an R-gene mediated incompatible interaction (Tc-Lr1), and a race non-specific resistance interaction (Tc-Lr34) in response to infection challenge by P. triticina race 1 at anthesis. Transcriptome interrogation was conducted by comparing mock- and P. triticina-inoculated leaves harvested at 3 and 7 days post inoculation (dpi). SUBMITTER_CITATION: Bolton, M.D., Kolmer, J.A., Xu, W.W., and Garvin, D.F. 2008. Lr34-mediated leaf rust resistance in wheat: transcript profiling reveals a high energetic demand supported by transient recruitment of multiple metabolic pathways. Molecular Plant-Microbe Interactions 21:1515-1527. Experiment Overall Design: The Affymetrix wheat genome array was used to identify wheat genes differentially expressed in a compatible interaction (Tc), an R-gene mediated incompatible interaction (Tc-Lr1), and a race non-specific resistance interaction (Tc-Lr34) in response to infection challenge by P. triticina race 1 at anthesis. Transcriptome interrogation was conducted on leaves harvested at 3 and 7 days post inoculation (dpi). The study utilized a randomized complete block design with three replicates for each genotype, and employed univariate analysis (t-tests) between mock- and P. triticina-inoculated plants within each genotype at each timepoint, for a total of six comparisons across the entire experiment, utilizing a total 36 Affymetrix Wheat Genome Array GeneChips.
2008-11-13 | E-GEOD-9915 | biostudies-arrayexpress
Project description:Wheat (Triticum ssp.) is one of the most important human food sources as well as livestock feed, but is very sensitive to changes in temperature. Specifically, processes during leaf growth and photosynthesis and during flower and seed development are affected by high temperature. While this has been investigated to some extent on physiological, developmental and molecular levels, very little is known about early signalling associated with an increase in temperature. Here, we probed the impact of an increase in temperature for 1 hour on the leaf and flower phosphoproteome of wheat. In order to identify differentially phosphorylated peptides, we used two wheat proteome databases, and could show the superiority of the new IWGSC genome. Our analyses of the leaf phosphoproteome further revealed differential phosphorylation of heat shock proteins, Photosystem I subunits, and plasma membrane intrinsic proteins, in addition to a number of potentially novel players.
2018-10-19 | PXD008703 | Pride
Project description:TaMYB13 is a transcription factor that has been associated with fructan accumulation in previous studies in wheat (Xue et al. 2011 Plant journal 68: 857 - 870). In this study we aimed to find genes regulated by TaMYB13, through overexpression of this transcription factor in wheat and perform expression analysis by making use of Affymetrix genechip assays. Expression of control plants was compared to transgenic lines, and total RNA was extracted from Flag leaves at anthesis. In this experiment the genome wide gene expression was assessed from wheat flag leaf material harvested at anthesis. Control plants (BW43,BW44,BW45) were compared with transgenic lines that overexpress TaMYB13 (a20, b2, b36).
2013-07-01 | E-GEOD-42000 | biostudies-arrayexpress
Project description:The wheat gene Lr1 imparts resistance to certain races of the leaf rust pathogen Puccinia triticina. However, the biological basis underlying the complex resistance mechanisms remains largely unknown. Gene expression profiling analyses using the Affymetrix GeneChip® Wheat Genome Array were performed with six independent Lr1 transgenic lines sampled before inoculation (0h) and at 6 and 24 h after inoculation with the avirulent P. triticina race CCDS. For the 6 and 24 h time points, 3 384 probe sets corresponding to 2 978 transcripts were differentially expressed as compared to the plants before inoculation. Genes involved in defence signalling were triggered as early as 6 h post inoculation (HPI) and included COI1, the primary component of jasmonic acid signalling. By 24 HPI, a shift in plant cellular metabolism, namely carbon conservation, was notable. The enzymes of glycolysis and gluconeogenesis were down-regulated, however, enzymes linked to alternative carbon sequestration processes such as the glyoxylate cycle were up-regulated. Also at 24 HPI, various secondary signalling molecules belonging to the various hormone signalling pathways were triggered. These microarray data suggest that the Lr1 mediated leaf rust resistance is achieved by early onset of defence signalling followed by co-ordinated interplay of metabolism alteration and elicitation of defence responses. We used microarrays to detail the early gene expression events underlying Lr1-mediated resistance to Puccinia triticina pathogen in wheat.
2012-09-14 | GSE32151 | GEO
Project description:To study the expression profiles of hexaploid wheat chromosome 3B genes during the life cycle of a wheat plant and establish a transcriptome atlas for this chromosome, deep transcriptome sequencing was conducted in duplicates in 15 wheat samples corresponding to five different organs (leaf, shoot, root, spike, and grain) at three developmental stages each. Strand-non-specific and strand-specific libraries were used to produce 2.52 billion paired-end reads (232 Gb) and 615.3 single-end reads (62 Gb), respectively.
2014-09-08 | E-MTAB-4484 | biostudies-arrayexpress