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.
Panicle architecture is an important component of agronomic trait in rice, which is also a key ingredient that could influence yield and quality of rice. In the panicle growth and development process, there are a series of complicated molecular and cellular events which are regulated by many interlinking genes. In this study, to explore the potential mechanism and identify genes and pathways involved in the formation of rice panicle, we compared the transcriptional profile of rice panicles (NIL-GW8 and NIL-gw8Amol) at three different stages of panicle development: In5 (formation of higher-order branches), In6 (differentiation of glumes) and In7 (differentiation of floral organs). A range of 40.5 to 54.1 million clean reads was aligned to 31,209 genes in our RNA-Seq analysis. In addition, we investigated transcriptomic changes between the two rice lines during different stages. A total of 726, 1121 and 2584 differentially expressed genes (DEGs) were identified at stages 1, 2 and 3, respectively. Based on an impact analysis of the DEGs, we hypothesize that MADS-box gene family, cytochrome P450 (CYP) and pentatricopeptide repeat (PPR) protein and various transcription factors may be involved in regulation of panicle development. Further, we also explored the functional properties of DEGs by gene ontology analysis, and the results showed that different numbers of DEGs genes were associated with 53 GO groups. In KEGG pathway enrichment analysis, many DEGs related to biosynthesis of secondary metabolites and plant hormone signal transduction, suggesting their important roles during panicle development. This study provides the first examination of changes in gene expression between different panicle development stages in rice. Our results of transcriptomic characterization provide important information to elucidate the complex molecular and cellular events about the panicle formation in rice or other cereal crops. Also, the findings will be helpful for the further identification of the genes related to panicle development.
Pubmed ID: 29969697
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.
Software that estimates expression at transcript-level resolution and controls for variability evident across replicate libraries.
View all literature mentionsDatabase collection of known and predicted transcription factors of Oryza sativa L. ssp. indica and Oryza sativa L. ssp. japonica. DRTF currently contains 2,025 putative transcription factors (TF) gene models in indica and 2,384 in japonica, distributed in 63 families.
View all literature mentionsSoftware platform for complex network analysis and visualization. Used for visualization of molecular interaction networks and biological pathways and integrating these networks with annotations, gene expression profiles and other state data.
View all literature mentionsSoftware R package for RNA-Seq Differential Expression Analysis.
View all literature mentionsDatabase of biological data related to a single initiative, originating from a single organization or from a consortium. A BioProject record provides users a single place to find links to the diverse data types generated for that project. It is a searchable collection of complete and incomplete (in-progress) large-scale sequencing, assembly, annotation, and mapping projects for cellular organisms. Submissions are supported by a web-based Submission Portal. The database facilitates organization and classification of project data submitted to NCBI, EBI and DDBJ databases that captures descriptive information about research projects that result in high volume submissions to archival databases, ties together related data across multiple archives and serves as a central portal by which to inform users of data availability. BioProject records link to corresponding data stored in archival repositories. The BioProject resource is a redesigned, expanded, replacement of the NCBI Genome Project resource. The redesign adds tracking of several data elements including more precise information about a project''''s scope, material, and objectives. Genome Project identifiers are retained in the BioProject as the ID value for a record, and an Accession number has been added. Database content is exchanged with other members of the International Nucleotide Sequence Database Collaboration (INSDC). BioProject is accessible via FTP.
View all literature mentionsA Cytoscape plug-in that visualizes the non-redundant biological terms for large clusters of genes in a functionally grouped network. It can be used in combination with GOlorize. The identifiers can be uploaded from a text file or interactively from a network of Cytoscape. The type of identifiers supported can be easily extended by the user. ClueGO performs single cluster analysis and comparison of clusters. From the ontology sources used, the terms are selected by different filter criteria. The related terms which share similar associated genes can be combined to reduce redundancy. The ClueGO network is created with kappa statistics and reflects the relationships between the terms based on the similarity of their associated genes. On the network, the node colour can be switched between functional groups and clusters distribution. ClueGO charts are underlying the specificity and the common aspects of the biological role. The significance of the terms and groups is automatically calculated. ClueGO is easy updatable with the newest files from Gene Ontology and KEGG. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
View all literature mentionsAn ALL in ONE tool for functional annotation of (novel) sequences and the analysis of annotation data. Blast2GO (B2G) joins in one universal application similarity search based GO annotation and functional analysis. B2G offers the possibility of direct statistical analysis on gene function information and visualization of relevant functional features on a highlighted GO direct acyclic graph (DAG). Furthermore B2G includes various statistics charts summarizing the results obtained at BLASTing, GO-mapping, annotation and enrichment analysis (Fisher''''s Exact Test). All analysis process steps are configurable and data import and export are supported at any stage. The application also accepts pre-existing BLAST or annotation files and takes them to subsequent steps. The tool offers a very suitable platform for high throughput functional genomics research in non-model species. B2G is a species-independent, intuitive and interactive desktop application which allows monitoring and comprehending the whole annotation and analysis process supported by additional features like GO Slim integration, evidence code (EC) consideration, a Batch-Mode or GO-Multilevel-Pies. Platform: Windows compatible, Mac OS X compatible, Linux compatible, Unix compatible
View all literature mentionsSoftware tool for transcriptome assembly and differential expression analysis for RNA-Seq. Includes script called cuffmerge that can be used to merge together several Cufflinks assemblies. It also handles running Cuffcompare as well as automatically filtering a number of transfrags that are likely to be artifacts. If the researcher has a reference GTF file, the researcher can provide it to the script to more effectively merge novel isoforms and maximize overall assembly quality.
View all literature mentions