OakRootRNADB
OakRootRNADB consolidates RNA-seq data from Quercus robur roots to enable analysis of coding and non-coding RNA expression across meristematic and elongation zones of taproots and lateral roots.
Key Features:
- Comprehensive Data Integration: Integrates RNA-seq datasets from studies of Quercus robur roots to provide sequences and expression data across taproot and lateral root developmental zones, including meristematic and elongation zones.
- Sequence Content: Includes sequences for genes, transcripts, proteins, and microRNAs and catalogs both coding and non-coding RNAs.
- Functional Annotations: Provides annotations of transcription factors, transcriptional regulators, chromatin regulators, and predicted cellular localization of transcripts.
- Expression Pattern Integration: Integrates expression patterns within and between root zones and root types to support analyses of molecular mechanisms underlying taproot development and root soil exploration.
Scientific Applications:
- Gene Expression Studies: Characterize regulatory networks controlling root growth and development in Quercus robur by analyzing coding and non-coding RNA expression in meristematic and elongation zones.
- Comparative Genomics: Compare expression and regulatory elements between taproots and lateral roots or between root zones to investigate evolutionary adaptations in perennial trees.
- Environmental Adaptation Research: Investigate how taproot architecture and lateral root branching contribute to water acquisition and drought response in Quercus robur.
Methodology:
Integration of RNA-seq data from multiple oak root studies and compilation of detailed sequence and functional annotations.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Added:
- 2/3/2023
- Last Updated:
- 2/3/2023
Operations
Publications
Kościelniak P, Glazińska P, Zadworny M. OakRootRNADB—a consolidated RNA-seq database for coding and noncoding RNA in roots of pedunculate oak (<i>Quercus robur</i>). Database. 2022;2022. doi:10.1093/database/baac097. PMID:36394419. PMCID:PMC9670740.