Project description:Information about protein expression in rice grain across both pigmented and non-pigmented rice varieties is still relatively scarce. The data provided here represent proteomic data obtained from selected 6 Malaysian local rice varieties with varying pigmentations (black, red and white). The selected pigmented rice varieties such as black (BALI and Pulut hitam 9) and red rice (MRQ100 and MRM16) have shown high antioxidant activities and non-pigmented rice (MRQ76 and MR297) contain amino acid and micronutrient contents. This project aimed to obtain global protein expression profile as well as differential protein expression between the selected pigmented and non-pigmented rice varieties particularly proteins with their functions responsible for nutritional (i.e. antioxidant, folate and low glycaemic index) and quality (i.e. aromatic) traits. Integration of this proteomics dataset with other available in-house omics data could facilitate the identification of significant functional markers related to nutritional and quality traits. Total proteins were prepared from dehusked matured seeds harvested from three different rice plants of each variety (3 protein samples per variety). The proteins were trypsin digested before subjected to SWATH-MS proteomics analysis. Proteins were identified by matching tandem mass (MS/MS) spectra from both 1D and 2D IDA to Oryza sativa japonica and indica rice databases available at UniProt by using ProteinPilot software (v4.2) (AB Sciex). Quantification of proteins was carried out by determining protein peak areas extracted from SWATH analysis data sets using PeakView (v2.1) (AB Sciex) software. Differentially expressed protein between varieties were identified using T-test analysis with a set threshold for fold change ± 1.5 and p‐value < 0.05.
Project description:We advance a three gene model of arsenate tolerance in rice based on testing root growth of 108 recombinant inbred lines (RILs) of the Bala x Azucena population. Marker genotype at 3 loci determined arsenate tolerance in 99% of RILs tested. Interestingly, plants must inherit 2, but any two alleles from the tolerant parent (Bala) to have the tolerant phenotype. Challenging the Affymetrix GeneChip Rice Genome array with Azucena and Bala RNA isolated from control and arsenate treated plants revealed 592 genes 2 fold-upregulated by arsenate and 696 downregulated. The array data was also used to identify which genes are expressed within the three target loci. We used microarrays to detail the gene expression at three locations in the rice genome termed AsTol6.1, AsTol6.2 and AsTol10 in response to 1ppm arsenate. The data was also used to study the global gene expression of the two varieties of rice, Azucena and Bala, in the presence of 1ppm arsenate. Keywords: Hydroponics, 0 and 1ppm sodium arsenate, Rice varieties Azucena and Bala
Project description:To verify the Ribo-seq data of mouse oocyte, we performed MS/MS on mouse fully-grown oocytes. And the results show that our Ribo-seq data well reflect the proteomic dynamics in the fully grown oocytes.
Project description:The young panicles 2 cm length were used for expression analysis in well watered control and drought stressed treatment. The panicle samples from biological replicates of six rice varieties were obtained in three independent experiments. The expression profiles were generated using Affymetrix rice genome arrays.
Project description:We designed a time series experiment in order to better understand acclimation and avoidance responses of two different Indica rice varieties Nagina22, a drought tolerant, and Nonabokra, a saline tolerant.We generated RNA-Seq transcriptome data for treated and untreated samples, with three biological replicates, per time point for drought response, an environmental stress experiment.The data generated was analyzed by calling polymorphisms, expression levels and eventually curate gene network pathways specific to the landraces’ genetic background and tolerance level.
Project description:We carried out an RNA-seq based transcriptome study on two rice varieties, Cocodrie (CCDR; rice sheath blight susceptible) and MCR10277 (MCR; rice sheath blight resistant), to profile the time-series wide genome-scale transcriptional differences in response to sheath blight (SB), an infection caused by R. solanii (LR172) . Our approach is cross-referencing differentially expressed genes with significant variants of two phenotypically different varieties to validate known and discover novel variants and to further understand rice's physiological response to SB.
Project description:Studies have shown that Rice Salt Sensitive 1 (RSS1) is involved in stress response in rice plants. Primers were developed for amplification via Polymerase Chain Reaction (PCR) of a region that contained a simple sequence repeat (SSR) in RSS1. PCR was performed on 6 different varieties of Oryza sativa. PCR product was sequenced on an ABI 3730 capillary sequence machine. Sequence data was aligned to observe differences in SSR length between each rice variety.
Project description:The genome structrure of domesticated species is influenced by complexity of breeding practices exercised by humans. Hokkaido is the northern-most regio of Japan, and one of northern limit of rice cultivation of world. The climatic conditions of Hokkaido are considered to be unsuitable for rice cultivation. Rice breeding programs of Hokkaido have focused on adaptability to specific local environmental condiitons (such as short growth period, low temperature conditions). These specific selection pressures have generated the unique genetic structures of Hokkaido rice cultivars. The genotype of sixty-three Hokkaido rice varieties were already analyzed by SSR marker, and the results showed that Hokkaido rice varieties were classified into six groups (Shinada et al, 2014). The unique genomic structures of six groups may have related to specific gene expression. This study analyze the gene expression profiles of Hokkaido rice variety.
Project description:Abstract We have re-analysed publicly available mass spectrometry (MS) data sets enriched for phosphopeptides from Asian rice (Oryza sativa). In total we have identified, 15522 phosphosites on Serine, Threonine and Tyrosine residues on rice proteins. The data has been loaded into UniProtKB, enabling researchers to visualise the sites alongside other stored data on rice proteins, including structural models from AlphaFold2, and into PeptideAtlas, enabling visualisation of the source evidence for each site, including scores and source mass spectra. We identified sequence motifs for phosphosites, and link motifs to enrichment of different biological processes, indicating different downstream regulation caused by different kinase groups. We cross-referenced phosphosites against single amino acid variation (SAAV) data sourced from the rice 3000 genomes data, to identify SAAVs within or proximal to phosphosites that could cause loss of a particular site in a given rice variety. The data was further clustered to identify groups of sites with similar patterns across rice family groups, allowing us to identify sites highly conserved in Japonica, but mostly absent in, for example, Aus type rice varieties - known to have different responses to drought. These resources can assist rice researchers to discover alleles with significantly different functional effects across rice varieties.
2023-11-08 | PXD046188 | Pride
Project description:Resequencing data of 147 rice varieties