Identifying genetic susceptibility to Aspergillus fumigatus infection using collaborative cross mice and RNA-Seq

Roa'a H S Yosief1, Iqbal M Lone1, Aharon Nachshon2

  • 1Department of Clinical Microbiology and Immunology, Sackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.

Abstract

Insights

This study identifies 12 candidate genes linked to host susceptibility in Aspergillus fumigatus (Af) infections using RNA sequencing in mouse models. These findings advance understanding of Af infection genetics and potential therapeutic targets.

Area of Science:

  • Genomics
  • Infectious Disease Research
  • Host-Pathogen Interactions

Background:

  • Aspergillus fumigatus (Af) is a widespread fungus, with host genetics significantly influencing infection severity.
  • Identifying genetic factors controlling Af susceptibility is crucial for understanding disease outcomes.

Purpose of the Study:

  • To identify candidate genes associated with host susceptibility to Aspergillus fumigatus (Af) infections.
  • To leverage RNA sequencing (RNAseq) in a mouse model to pinpoint genetic determinants of Af infection response.

Main Methods:

  • RNA sequencing was performed on liver tissues from 31 male mice across 25 Collaborative Cross (CC) lines post-Af infection.
  • Gene expression data was analyzed to identify differentially expressed genes between resistant and susceptible mice, categorized by body weight changes.
  • A clustered heatmap matrix was generated using the GENE-E analysis platform.

Main Results:

  • Significant variations in body weight changes were observed among different CC mouse lines, indicating differential susceptibility.
  • Twelve top candidate genes were identified through hepatic gene expression analysis, showing differential expression in resistant versus susceptible mice.
  • Three candidate genes (Gm16270, Stox1, Gm11033) were found within previously mapped quantitative trait loci (QTL) regions.

Conclusions:

  • The CC mouse model is effective for fine-mapping genetic components of Af susceptibility.
  • Further analysis, including eQTL analysis, is planned for the RNA-Seq data.
  • Candidate genes identified will be evaluated in a human cohort with aspergillosis to assess clinical relevance.

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