Host Genes and Resistance/Sensitivity to Military Priority Pathogens

Abstract

This report provides data from our study of differential susceptibility to DoD priority pathogens (Francisella tularensis (FT), Burkholderia pseudomallei (Bp), Acinetobacter baumannii (Ab), Leishmania major (Lm), SARS, H5Ni avian influenza) using BXD recombinant inbred mice. We have identified 38 phenotypes that may that may lead to differential immune responsiveness of C57BL/6 (B6) vs DBA/2 (D2) mice following Ab infection. Data from the Bp study indicates that survival of acute pneumonic Burkholderia infection is a complex trait that may involve at least 3 different loci. FT studies have shown that there are differences in innate immune responses to pneumonic FT infection between B6 and D2 mice. The SARS study found that D2 mice are more susceptible to MA15 virus than B6 mice. The mouse genomics core continues to generate datasets (spleen, lung, T-cells, etc) from BXD strains, which are available on GeneNetwork. The bioinformatics core has implemented a method for performing Bayesian network analysis of biological data, such as responses to pathogen infection and other biological processes. Studies with all the pathogens are ongoing to identify host genes/pathways that are involved in disease process.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2012
Accession Number
ADA624225

Entities

People

  • Gerald I. Byrne
  • Kui Li
  • Lu Lu
  • Mark A. Miller
  • Robert Williams
  • Tony Marion
  • Yan Cui

Organizations

  • University of Tennessee system

Tags

DTIC Thesaurus Topics

  • Bacteria
  • Bacterial Infections
  • Bayesian Networks
  • Body Weight
  • Cells
  • Chemical Synthesis
  • Chemistry
  • Computational Science
  • Genetic Structures
  • Genetics
  • Gram-Negative Bacterial Infections
  • Infectious Diseases
  • Lymphocytes
  • Microbiology
  • Proteins
  • Proteomics
  • Viruses

Fields of Study

  • Biology

Readers

  • Immunology
  • Infectious Disease/Epidemiology
  • Molecular and genetic basis of cancer.

Technology Areas

  • AI & ML