Triticum aestivum
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ABSTRACT:
PROVIDER: PRJNA210140 | ENA |
REPOSITORIES: ENA
Similar Datasets
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:Transcript changes in response to low temperature Total RNA for RNA-seq analysis were extracted from wheat leaf tissues with three biological replicates for each growth condition.
2014-12-31 | E-GEOD-58805 | biostudies-arrayexpress
Project description:Alteration in gene expression accompanying initial stages of allopolyploidy is a prominent feature in plants, but its spectrum and model are highly idiosyncratic. We used multi-colour GISH to identify individuals from two nascent allohexaploid wheat lines between Triticum turgidum and Aegilops tauschii, which had a transgenerationally stable chromosomal constitution mimicking that of common wheat. We performed genomewide analysis of gene expression for these plants along with their parental species using the Affymetrix GeneChip Wheat Genome-Array. Comparison with parental species coupled with inclusion of empirical mid-parent values (MPVs) revealed two patterns of alteration in gene expression in the allohexaploid lines: parental dominance expression and nonadditive expression. Genes involved in each altered pattern could be classified into three distinct groups, stochastic, heritable and persistent, based on their transgenerational heritability and inter-line conservation. Whereas both altered patterns of gene expression showed a propensity of inheritance, identity of the involved genes is stochastic, consistent with the involvement of diverse Gene Ontology (GO) terms. Nonetheless, those genes showing nonadditive expression exhibited a significant enrichment for vesicle-function. Our results suggest global alteration in gene expression conditioned by nascent allopolyploidy likely play functional roles in stabilization and establishment of the newly formed plants, and consequential to evolution.
2012-05-01 | GSE29882 | GEO
Project description:Alteration in gene expression accompanying initial stages of allopolyploidy is a prominent feature in plants, but its spectrum and model are highly idiosyncratic. We used multi-colour GISH to identify individuals from two nascent allohexaploid wheat lines between Triticum turgidum and Aegilops tauschii, which had a transgenerationally stable chromosomal constitution mimicking that of common wheat. We performed genomewide analysis of gene expression for these plants along with their parental species using the Affymetrix GeneChip Wheat Genome-Array. Comparison with parental species coupled with inclusion of empirical mid-parent values (MPVs) revealed two patterns of alteration in gene expression in the allohexaploid lines: parental dominance expression and nonadditive expression. Genes involved in each altered pattern could be classified into three distinct groups, stochastic, heritable and persistent, based on their transgenerational heritability and inter-line conservation. Whereas both altered patterns of gene expression showed a propensity of inheritance, identity of the involved genes is stochastic, consistent with the involvement of diverse Gene Ontology (GO) terms. Nonetheless, those genes showing nonadditive expression exhibited a significant enrichment for vesicle-function. Our results suggest global alteration in gene expression conditioned by nascent allopolyploidy likely play functional roles in stabilization and establishment of the newly formed plants, and consequential to evolution. We used Affymetrix GeneChip Wheat Genome-Array to compare the expression difference of newly synthetic wheat allopolyploid lines and their parental lines.
2012-04-30 | E-GEOD-29882 | biostudies-arrayexpress
Project description:The study was conducted in order to find out the differential change in the transcript of tolerant and susceptible wheat cultivar under heat stress and to decipher the mechanism of thermotolerance in wheat by identifying novel genes and transcription factors involved in the pathways. Wheat cultivar HD2985 (thermotolerant) and HD2329 (thermosusceptible) were exposed to heat stress of 42 degree for 4h at pollination stage and samples were collected from both control and heat shock treated plants for further characterization.
2012-08-31 | E-MTAB-4370 | biostudies-arrayexpress
Project description:Purpose: To identify abiotic stress responsive and tissue specific miRNAs at genome wide level in wheat (Triticum aestivum) Results: Small RNA libraries were constructed from four tissues (root, shoot, mature leaf and spikelets) and three stress treatments of wheat seedlings (control, high temperature, salinity and water-deficit). A total of 59.5 million reads were obtained by high throughput sequencing of eight wheat libraries, of which 32.5 million reads were found to be unique. Using UEA sRNA workbench we identified 47 conserved miRNAs belonging to 20 families, 1030 candidate novel and 51 true novel miRNAs. Several of these miRNAs displayed tissue specific expression whereas few were found to be responsive to abiotic stress treatments. Target genes were predicted for miRNAs identified in this study and their grouping into functional categories revealed that the putative targets were involved in diverse biological processes. RLM-RACE of predicted targets of three conserved miRNAs (miR156, miR160 and miR164) confirmed their mRNA cleavage, thus indicating their regulation at post-transcriptional level by corresponding miRNAs. Expression profiling of confirmed target genes of these miRNAs was also performed. Conclusions: This is the first comprehensive study on profiling of miRNAs in a variety of tissues and in response to several abiotic stresses in wheat. Our findings provide valuable resource for better understanding on the role of miRNAs in stress tolerance as well as plant development. Additionally, this information could be utilized for designing wheat plants for enhanced abiotic stress tolerance and higher productivity.
2014-08-20 | GSE53487 | GEO
Project description:Wheat breeding lines demultiplexed GBS data and Wheat resequencing data
| PRJNA564848 | ENA
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
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