Wheat root RNA Sequencing
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1304725 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:We performed scRNA-seq to Chinese Spring (CS) cultiva of wheat, and captured 13,063 wheat (CS) root cells with 2523 mean UMIs, 43 417 mean reads and 1851 median genes per cell. One cell type was formed by clustered cells showing similar gene expression profiles. The dimensionality reduction algorithms used in this study are PCA (Principal Components Analysis) and t-SNE (t-distributed Stochastic Neighbor Embedding). Results of dimensionality reduction based on PCA are visualized by t-SNE for clustering, and the clustering algorithm adopts SNN to obtain the optimal cell clusters.Finally, we obtained 16 clusters.
2023-01-12 | GSE222422 | GEO
Project description:Triticum aestivum isolate:wheat root Raw sequence reads
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Project description:Triticum aestivum isolate:wheat root Raw sequence reads
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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
Project description:Root foraging strategy of wheat for potassium (K) heterogeneity is based on special gene expressions. Low-K responsive genes, such as peroxidases, mitochondrion, transcription factor activity, calcium ion binding and respiration, up-regulated in Sp. NK rather than in Sp. LK. Methyltransferase activity, protein amino acid phosphorylation, potassium ion transport, protein kinase activity genes were found among down-regulated genes in Sp. LK. We used microarrays to detail the global programme of gene expression underlying wheat root foraging strategy and identified distinct classes of up-regulated and down-regulated genes during this process.
2018-12-26 | GSE115111 | GEO
Project description:Purpose: To characterize the functional implication of autophagy in the wheat response to stress, the key genes contributing in mediated salt tolerance of wheat seedlings through 3-MA were identified in normal or salt stress conditions in the presence or absence of added 3-MA by the transcriptome profiles. Methods: Four days after NaCl and 3-MA treatment, the roots and the third leaves were collected respectively with every 10 of them being mixed as one biological replicate for each treatment. Every treatment had four biological replicates. The wheat root and leaves mRNA profiles were generated by deep sequencing, in triplicate, using Illumina GAIIx. 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. Results: The RNA-Seq data had high quality and reliable results were obtained from the transcriptome assembly. A high correlation between biological replicates was observed for all treatments, which indicated that the four biological replicates were reliable in this study. Based on the principal component analysis (PCA), a clear separation between the NaCl-treated group and controls could be observed. The Q30 percentage (sequences with sequencing error rate lower than 0.1%) was over 94%, and the average GC content of the RNA-seq reads was 55.46%. After removing the adaptor and low-quality sequence, each library received 68310810-83844286 clean reads. These clean reads were mapped to the reference genome with match ratios in the range of 93.6%-95.9%, and 120744 genes predicted from the genome were found to be expressed (with FPKM > 0), including 25180 annotated genes in wheat genome. 3-MA treatment shifted the transcriptome a salt-stressed wheat seedling. The up-regulated DEGs and DEMs were increased, and the down-regulated DEGs and DEMs were decreased in 3-MA-added plants under NaCl stress condition. The study may help us understand the mechanism for 3-MA mediated salt tolerance and provide a theoretical basis for autophagy regulated salt response in wheat seedlings. Conclusions: 3-MA treatment shifted the transcriptome a salt-stressed wheat seedling. The up-regulated DEGs and DEMs were increased, and the down-regulated DEGs and DEMs were decreased in 3-MA-added plants under NaCl stress condition. The study may help us understand the mechanism for 3-MA mediated salt tolerance and provide a theoretical basis for autophagy regulated salt response in wheat seedlings.
2021-12-15 | GSE166260 | GEO
Project description:Despite the broad use of single-cell and single-nucleus RNA sequencing in plant research, accurate cluster annotation in less studied plant species remains a major challenge due to the lack of validated marker genes. Here, using soil-grown wheat roots as a model, we generated a single-cell RNA-sequencing (scRNA-seq) atlas and annotated cluster identities in an unbiased way by transferring existing annotations from publicly available datasets in wheat, rice, maize and Arabidopsis. These cross-species orthology-based predictions were next validated using untargeted spatial transcriptomics. This information refined existing cluster annotations for different datasets across key plant model species. We then used the validated clusters to generate cell type-specific gene regulatory networks for root tissues of wheat and two other monocot crop species. By integrating all available data, including homeolog expression in wheat, we predicted reliable tissue-specific markers which are conserved across different species. In summary, we provided an annotated and validated single cell transcriptomic resource for soil-grown wheat root apical meristems and revealed conserved cell type-specific regulators and markers across species. These data expand upon previous root single cell atlas resources in crops, and will facilitate cell type annotation in non-model plant species in the future.
2025-01-06 | GSE270342 | GEO
Project description:We report raw bulk RNA sequencing data of rice root sections from Meristem, Elongation and Maturation zones
2024-03-03 | GSE260671 | GEO