NtUE
NtUE provides a curated database of genes and quantitative trait loci (QTLs) associated with the uptake, assimilation, and utilization of macro- and micronutrients in cereal and related species to support research on nutrient use efficiency.
Key Features:
- Comprehensive Gene and QTL Repository: Contains NtUE-related genes and QTLs for wheat (Triticum aestivum), rice (Oryza sativa), maize (Zea mays), barley (Hordeum vulgare), Triticum urartu, Aegilops tauschii, Brachypodium distachyon, and Arabidopsis thaliana for comparative analyses.
- Manual Curation: Gene annotations and QTL information are manually curated from existing genomic databases and peer-reviewed literature.
- MicroRNA Integration: Includes information on microRNAs that target NtUE-related genes to inform studies of post-transcriptional regulation.
- Functional Annotation: Provides detailed functional descriptions and annotations of NtUE-related genes to support interpretation of gene roles in nutrient dynamics.
Scientific Applications:
- Plant Genetics and Breeding: Supports identification of genetic components involved in nutrient uptake, assimilation, and utilization for breeding nutrient-efficient crops.
- Comparative Genomics: Enables cross-species comparisons among cereals and model species to infer conserved NtUE genes and pathways.
- Trait Mapping and Crop Improvement: Facilitates use of gene and QTL data in trait mapping and selection strategies aimed at improving yield and nutritional quality under variable environments.
Methodology:
Gene and QTL annotations were integrated from existing databases and literature and subjected to manual curation.
Topics
Details
- License:
- CC-BY-4.0
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- PHP, SQL
- Added:
- 8/11/2018
- Last Updated:
- 12/10/2018
Operations
Publications
Kumar A, Pandeya A, Malik G, Sharma M, P. HK, S. AK, Gahlaut V, Gajula MP, Singh KP, Suravajhala P, Balyan HS, Gupta PK. A web resource for nutrient use efficiency-related genes, quantitative trait loci and microRNAs in important cereals and model plants. F1000Research. 2018;7:673. doi:10.12688/f1000research.14561.1. PMID:30135718. PMCID:PMC6073097.