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.
Project description:A complex regulatory network is the mechanism of wheat roots responding to drought stress at low and adequate phosphorus levels. The transcription levels of genes encoding silicon transporters, phosphate transporters, sucrose synthesis, etc., are mostly up-regulated in Xindong20. The genes encoding the electron transport chain and the respiratory chain are mostly down-regulated in Xindong23. These results suggest that wheat roots should maintain the structural integrity of the cells and reduce the energy metabolism during the coupled stress of drought and low phosphorus, which will help to improve the drought tolerance of wheat. The objective of the present data was to increase the information about the effect of drought on the transcriptomes of wheat root cultured by two phosphorus levels.
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.
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.
Project description:The transcriptome profile was examined in four wheat genotypes in roots and shoots under nitrogen stressed condition which indicates genotype specific transcript data-set apart from the common transcripts. Unique genes was identified for nitrogen uptake and utilization process. We used microarrays to detail the gene expression and identify the candidate genes related to uptake and utilization of nitrogen in root and shoot tissues of wheat genotypes.
Project description:Improvement of phosphorus (P) uptake by crops is a prerequisite for sustainable agriculture. Rice (Oryza sativa L.) PHOSPHORUS-STARVATION TOLERANCE 1 (OsPSTOL1) increases root growth and total P uptake. Here, a biogeographic survey of rice demonstrates OsPSTOL1 loss in a subset of japonica rice after the temperate-tropical split and frequent absence in paddy varieties of east Asia. OsPSTOL1 absence or loss-of-function alleles prevail in landraces from regions with fertilizer use and controlled irrigation, suggesting it is an adaptive genetic variant in low nutrient rainfed ecosystems. OsPSTOL1 is a truncated member of a family of multi-module kinases associated with microbial interactions. We demonstrate that ectopic expression of OsPSTOL1 in wheat (Triticum aestivum L.) increases shoot and root growth under low P conditions, promotes root plasticity, and hastens induction of the low P response pathway. OsPSTOL1’s influence on adaptive root development in wheat validates its potential for broad utilization in crop improvement.
Project description:Lysine 2-hydroxyisobutyrylation (Khib) is a novel naturally occurring PTM, which is firstly discovered in histone. The system Khib detection at proteomics level has been performed in various species and tissues for the function and role characterization of Khib in biological activities. However, the Khib study in plant species is relatively less and the plant root, one of the critical plant organ, haven’t been studied. In the present study, the first root tissues lysine 2-hydroxyisobutyrylome analysis was performed in wheat specie with antibody immunoprecipitation affinity and high resolution mass spectrometry-based proteomics. Bioinformatics analyses including function classification, subcellular location predication, gene ontology enrichment and pathway enrichment were conducted to demonstrate the roles of these Khib sites and proteins in wheat root.
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.