eCALIBRATOR

eCALIBRATOR enables comparative analysis of functional genomics datasets to identify genes and biological pathways involved in biotic stress responses in Eucalyptus, with emphasis on Eucalyptus grandis.


Key Features:

  • Comparative Analysis: Compares multiple transcriptomic datasets to identify common differentially expressed genes across biotic stress interactions.
  • Supported Biotic Stressors: Includes datasets from interactions with Leptocybe invasa, Phytophthora cinnamomi, and Chrysoporthe austroafricana.
  • Visual Outputs: Produces Venn diagrams and supports clustering and extraction of overlapping gene expression data among studies.
  • Gene Ontology Enrichment Analysis: Performs GO enrichment to identify significant biological processes, including the term "response to organonitrogen compound."
  • Identification of Key Genes: Identified 708 common differentially expressed Eucalyptus grandis genes and highlighted NITRATE TRANSPORTER 2.5 (NRT2.5) as differentially regulated in susceptible versus resistant interactions.
  • Data Integration: Integrates various functional genomics datasets to enable cross-study comparative analyses.

Scientific Applications:

  • Discovery of conserved defense genes: Enables identification of genes and pathways commonly regulated across multiple biotic stressors in Eucalyptus.
  • Candidate gene prioritization: Supports prioritization of genes for functional characterization and resistance studies, exemplified by NRT2.5.

Methodology:

Integrates functional genomics datasets and performs comparative analyses using Venn diagram generation, clustering and extraction of gene sets, and gene ontology enrichment via visual and statistical tools.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
3/5/2021

Operations

Publications

du Toit Y, Coles DW, Mewalal R, Christie N, Naidoo S. eCALIBRATOR: A Comparative Tool to Identify Key Genes and Pathways for Eucalyptus Defense Against Biotic Stressors. Frontiers in Microbiology. 2020;11. doi:10.3389/fmicb.2020.00216. PMID:32127794. PMCID:PMC7039109.