Dataset Information

Gene expression profiling of rice seedlings in response to glutamine treatment.

ABSTRACT: Glutamine, the most abundant free amino acid in humans (Curi et al., 2007 [1]), has many functions. In addition to protein, amino acid, and nucleic acid biosynthesis, glutamine also regulates the expression of genes related to metabolism, cell defense, and signal transduction in humans (Curi et al., 2007 [1]; Brasse-Lagnel et al., 2009 [2]). Glutamine is also one of the major forms of nitrogen in rice (Fukumorita and Chino, 1982 [3]). In addition to metabolic and nutritional effects, glutamine may function as a signaling molecule to regulate gene expression in plants. To this end, we used microarray analysis to identify genes that are rapidly induced by 2.5 mM glutamine in rice roots. The results revealed that glutamine induced the expression of at least 35 genes involved in metabolism, transport, signal transduction, and stress responses within 30 min (Kan et al., 2015 [4]). Here, we provide the details of the experimental procedure associated with our microarray data deposited in NCBI's Gene Expression Omnibus (GEO ID: GSE56770).

SUBMITTER: Kan CC

PROVIDER: S-EPMC4664718 | biostudies-literature | 2015 Dec

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Gene expression profiling of rice seedlings in response to glutamine treatment.

Kan Chia-Cheng CC Chung Tsui-Yun TY Hsieh Ming-Hsiun MH

Genomics data 20150822

Glutamine, the most abundant free amino acid in humans (Curi et al., 2007 [1]), has many functions. In addition to protein, amino acid, and nucleic acid biosynthesis, glutamine also regulates the expression of genes related to metabolism, cell defense, and signal transduction in humans (Curi et al., 2007 [1]; Brasse-Lagnel et al., 2009 [2]). Glutamine is also one of the major forms of nitrogen in rice (Fukumorita and Chino, 1982 [3]). In addition to metabolic and nutritional effects, glutamine m ...[more]

PMID: 26697351

Similar Datasets

Project description:BackgroundIndependent transcriptome profile analyses of miRNAs or mRNAs under conditions of cadmium (Cd) stress have been widely reported in plants. However, a combined analysis of sRNA sequencing expression data with miRNA target expression data to infer the relative activities of miRNAs that regulate gene expression changes resulting from Cd stress has not been reported in rice. To elucidate the roles played by miRNAs in the regulation of changes in gene expression in response to Cd stress in rice (Oryza sativa L.), we simultaneously characterized changes in the miRNA and mRNA profiles following treatment with Cd.ResultsA total of 163 miRNAs and 2,574 mRNAs were identified to be differentially expressed under Cd stress, and the changes in the gene expression profile in the shoot were distinct from those in the root. At the miRNA level, 141 known miRNAs belonging to 48 families, and 39 known miRNAs in 23 families were identified to be differentially expressed in the root and shoot, respectively. In addition, we identified eight new miRNA candidates from the root and five from the shoot that were differentially expressed in response to Cd treatment. For the mRNAs, we identified 1,044 genes in the root and 448 genes in the shoot that were up-regulated, while 572 and 645 genes were down-regulated in the root and shoot, respectively. GO and KEGG enrichment analyses showed that genes encoding secondary, metabolite synthases, signaling molecules, and ABC transporters were significantly enriched in the root, while only ribosomal protein and carotenoid biosynthesis genes were significantly enriched in the shoot. Then 10 known miRNA-mRNA interaction pairs and six new candidate ones, that showed the opposite expression patterns, were identified by aligning our two datasets against online databases and by using the UEA sRNA toolkit respectively.ConclusionsThis study is the first to use high throughput DNA sequencing to simultaneously detect changes in miRNA and mRNA expression patterns in the root and shoot in response to Cd treatment. These integrated high-throughput expression data provide a valuable resource to examine global genome expression changes in response to Cd treatment and how these are regulated by miRNAs.

Project description:BACKGROUND: Rice is highly sensitive to drought, and the effect of drought may vary with the different genotypes and development stages. Genome-wide gene expression profiling was used as the initial point to dissect molecular genetic mechanism of this complex trait and provide valuable information for the improvement of drought tolerance in rice. Affymetrix rice genome array containing 48,564 japonica and 1,260 indica sequences was used to analyze the gene expression pattern of rice exposed to drought stress. The transcriptome from leaf, root, and young panicle at three developmental stages was comparatively analyzed combined with bioinformatics exploring drought stress related cis-elements. RESULTS: There were 5,284 genes detected to be differentially expressed under drought stress. Most of these genes were tissue- or stage-specific regulated by drought. The tissue-specific down-regulated genes showed distinct function categories as photosynthesis-related genes prevalent in leaf, and the genes involved in cell membrane biogenesis and cell wall modification over-presented in root and young panicle. In a drought environment, several genes, such as GA2ox, SAP15, and Chitinase III, were regulated in a reciprocal way in two tissues at the same development stage. A total of 261 transcription factor genes were detected to be differentially regulated by drought stress. Most of them were also regulated in a tissue- or stage-specific manner. A cis-element containing special CGCG box was identified to over-present in the upstream of 55 common induced genes, and it may be very important for rice plants responding to drought environment. CONCLUSIONS: Genome-wide gene expression profiling revealed that most of the drought differentially expressed genes (DEGs) were under temporal and spatial regulation, suggesting a crosstalk between various development cues and environmental stimuli. The identification of the differentially regulated DEGs, including TF genes and unique candidate cis-element for drought responsiveness, is a very useful resource for the functional dissection of the molecular mechanism in rice responding to environment stress.

Dataset Information

Gene expression profiling of rice seedlings in response to glutamine treatment.

Publications

Gene expression profiling of rice seedlings in response to glutamine treatment.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets