Dissection of Host Susceptibility to Bacterial Infections and Its Toxins
Aysar Nashef1, Mahmoud Agbaria2, Ariel Shusterman1
1Department of Prosthodontics, Dental school, The Hebrew University, Hadassah Jerusalem, Israel.
Abstract:
Infection is one of the leading causes of human mortality and morbidity. Exposure to microbial agents is obviously required. However, also non-microbial environmental and host factors play a key role in the onset, development and outcome of infectious disease, resulting in large of clinical variability between individuals in a population infected with the same microbe. Controlled and standardized investigations of the genetics of susceptibility to infectious disease are almost impossible to perform in humans whereas mouse models allow application of powerful genomic techniques to identify and validate causative genes underlying human diseases with complex etiologies. Most of current animal models used in complex traits diseases genetic mapping have limited genetic diversity. This limitation impedes the ability to create incorporated network using genetic interactions, epigenetics, environmental factors, microbiota, and other phenotypes. A novel mouse genetic reference population for high-resolution mapping and subsequently identifying genes underlying the QTL, namely the Collaborative Cross (CC) mouse genetic reference population (GRP) was recently developed. In this chapter, we discuss a variety of approaches using CC mice for mapping genes underlying quantitative trait loci (QTL) to dissect the host response to polygenic traits, including infectious disease caused by bacterial agents and its toxins.
Insights
Investigating host susceptibility to infectious disease requires advanced genetic models. The Collaborative Cross (CC) mouse genetic reference population (GRP) offers enhanced genetic diversity for identifying disease-related genes.
Area of Science:
- Genetics
- Immunology
- Microbiology
Background:
- Infectious diseases cause significant human mortality and morbidity.
- Host and environmental factors contribute to varied clinical outcomes.
- Existing animal models lack genetic diversity for complex trait analysis.
Purpose of the Study:
- To discuss approaches for mapping genes underlying quantitative trait loci (QTL) using the Collaborative Cross (CC) mouse genetic reference population (GRP).
- To dissect host response to polygenic traits, including infectious diseases.
- To identify causative genes for complex genetic diseases.
Main Methods:
- Utilizing the Collaborative Cross (CC) mouse genetic reference population (GRP) for high-resolution genetic mapping.
- Applying genomic techniques to identify and validate genes.
- Analyzing host response to bacterial agents and toxins.
Main Results:
- The CC GRP provides a powerful tool for high-resolution mapping of QTL.
- This model facilitates the identification of genes influencing susceptibility to infectious diseases.
- It enables a more comprehensive understanding of host-pathogen interactions.
Conclusions:
- The Collaborative Cross (CC) mouse genetic reference population (GRP) is a valuable resource for genetic studies of infectious diseases.
- This model overcomes limitations of previous genetic reference populations.
- It advances the dissection of complex host responses to pathogens.
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