Wheat Zapper
Wheat Zapper performs colinearity analysis across grass genomes (wheat, Oryza sativa, Sorghum bicolor, and Brachypodium distachyon) to predict gene order in non-sequenced grasses for comparative genomics.
Key Features:
- Colinearity analysis: Performs synteny-based comparisons among wheat, rice (Oryza sativa), sorghum (Sorghum bicolor), and Brachypodium (Brachypodium distachyon) to infer gene order.
- Automated primer design: Generates primers for experimental validation based on inferred genomic regions.
- Intron/exon boundary prediction: Predicts intron and exon boundaries for annotated or inferred genes.
- Visual representation: Produces graphical visualizations of genomic relationships using Circos 0.53.
- Sequence export: Provides downloadable FASTA sequences for downstream analyses.
Scientific Applications:
- Comparative genomics: Enables comparative analysis of genome structure among cereals and related grasses.
- Gene order prediction: Predicts the arrangement of genes in non-sequenced grass species using conserved colinearity.
- Orthology identification: Supports identification of putative orthologous genes across model and crop grasses.
- Evolutionary inference: Assists studies of evolutionary dynamics of genome architecture in grasses.
Methodology:
Relies on conservation of gene order among grass genomes by comparing known sequences from model species to predict gene arrangements in non-sequenced species; validation against the maize genome showed correlation r > 0.83 between predicted and actual gene positions and an accuracy of 0.65 when compared to the Genome Zipper application.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Programming Languages:
- Python
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Alnemer LM, Seetan RI, Bassi FM, Chitraranjan C, Helsene A, Loree P, Goshn SB, Gu YQ, Luo M, Iqbal MJ, Lazo GR, Denton AM, Kianian SF. Wheat Zapper: a flexible online tool for colinearity studies in grass genomes. Functional & Integrative Genomics. 2013;13(1):11-17. doi:10.1007/s10142-013-0317-4. PMID:23474942.