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.