Rust Expression Browser

Rust Expression Browser provides simultaneous analysis of host and pathogen gene expression from RNA-Seq data to study interactions between wheat and Puccinia striiformis f. sp. tritici (Pst).


Key Features:

  • Dual RNA-Seq Approach: Implements a dual RNA-Seq methodology referred to as field pathogenomics to capture gene expression from both pathogen and host simultaneously.
  • Extensive Dataset Integration: Integrates 538 new RNA-Seq datasets generated via field pathogenomics, 66 Pst infection time-course datasets, and 420 publicly available datasets, totaling 1,024 processed RNA-Seq datasets from field and laboratory samples.
  • Largest Database for Wheat Rust Pathogens: Hosts the largest collection of processed RNA-Seq datasets available for any of the three Puccinia wheat rust pathogens.

Scientific Applications:

  • Pathogen Surveillance and Virulence Studies: Enables analysis of temporal expression of putative Pst virulence genes to support surveillance and studies of pathogen adaptation.
  • Host Response Analysis: Enables detailed examination of wheat transcriptional responses to Pst infection to investigate host defense mechanisms.

Methodology:

Dual RNA-Seq (field pathogenomics) processing and integration of 1,024 RNA-Seq datasets from field and laboratory samples.

Topics

Details

Tool Type:
web application
Added:
11/29/2021
Last Updated:
11/29/2021

Operations

Publications

Adams TM, Olsson TSG, Ramírez-González RH, Bryant R, Bryson R, Campos PE, Fenwick P, Feuerhelm D, Hayes C, Henriksson T, Hubbard A, Jevtić R, Judge C, Kerton M, Lage J, Lewis CM, Lilly C, Meidan U, Novoselović D, Patrick C, Wanyera R, Saunders DGO. Rust expression browser: an open source database for simultaneous analysis of host and pathogen gene expression profiles with expVIP. BMC Genomics. 2021;22(1). doi:10.1186/s12864-021-07488-3. PMID:33750297. PMCID:PMC7941908.

PMID: 33750297
PMCID: PMC7941908
Funding: - H2020 European Research Council: 773311 - Biotechnology and Biological Sciences Research Council: BB/M025519/1, BB/P016855/1 and BB/P012574/1 - European Research Council: 715638