Searching the Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
Plant growth and yield are affected by many abiotic stresses like salinity, drought, cold and heavy metal; these stresses trigger up and down-regulate several genes through various transcription factors (TFs). Transcription factor binding motifs (TFBMs), located in the upstream region of the genes, associate with TFs to regulate the gene expression. Many factors, including the activation of miRNAs, which are encoded by genes having independent transcription units, regulate the gene expression. TFBMs in the regulatory region of miRNA sequences influence the miRNA expression, which in turn influences the expression of other genes in the cell. However, the current level of information available on TFBMs of miRNA involved in abiotic stress related defense pathway(s) is limited and in-depth studies in this direction may lead to a better understanding of their role in expression and regulation of defense responses in plants. In this study, various aspects related to genomic positions of pre-miRNA, prediction of TSS and TATA box positions and identification of known, unique motifs at regulatory regions of all the reported miRNAs of rice associated with different abiotic stresses are discussed. Sixteen motifs were identified in this study, of which nine are known cis-regulatory elements associated with various stresses, two strong motifs, (CGCCGCCG, CGGCGGCG) and five unique motifs which might play a vital role in the regulation of abiotic stresses related miRNA genes. Common motifs shared by miRNAs that are involved in more than one abiotic stresses were also identified. The motifs identified in this study will be a resource for further functional validation.
Pubmed ID: 23994683
Publication data is provided by the National Library of Medicine ® and PubMed ®. Data is retrieved from PubMed ® on a weekly schedule. For terms and conditions see the National Library of Medicine Terms and Conditions.
Central online repository for microRNA nomenclature, sequence data, annotation and target prediction.Collection of published miRNA sequences and annotation.
View all literature mentionsTHIS RESOURCE IS NO LONGER IN SERVICE. Documented on March 17, 2022. A large-scale database of genetics and genomics data associated to a web-interface and a set of methods and algorithms that can be used for mining the data in it. The database contains two categories of single nucleotide polymorphism (SNP) annotations: # Physical-based annotation where SNPs are categorized according to their position relative to genes (intronic, inter-genic, etc.) and according to linkage disequilibrium (LD) patterns (an inter-genic SNP can be annotated to a gene if it is in LD with variation in the gene). # Functional annotation where SNPs are classified according to their effects on expression levels, i.e. whether they are expression quantitative trait loci (eQTLs) for that gene. SCAN can be utilized in several ways including: (i) queries of the SNP and gene databases; (ii) analysis using the attached tools and algorithms; (iii) downloading files with SNP annotation for various GWA platforms. . eQTL files and reported GWAS from NHGRI may be downloaded.
View all literature mentionsCollection of data related to crop plant and model organism Zea mays. Used to synthesize, display, and provide access to maize genomics and genetics data, prioritizing mutant and phenotype data and tools, structural and genetic map sets, and gene models and to provide support services to the community of maize researchers. Data stored at MaizeGDB was inherited from the MaizeDB and ZmDB projects. Sequence data are from GenBank. Data are searchable by phenotype, traits, Pests, Gel Pattern, and Mutant Images.
View all literature mentionsDatabase that provides the genome sequence assembly of the International Rice Genome Sequencing Project (IRGSP), manually curated annotation of the sequence, and other genomics information that could be useful for comprehensive understanding of the rice biology. RAP-DB contains clone positions, structures and functions of genes validated by cDNAs, RNA genes detected by massively parallel signature sequencing (MPSS) technology and sequence similarity, flanking sequences of mutant lines, transposable elements, etc. Other annotation data such as Gnomon can be displayed along with those of RAP for comparison.
View all literature mentions