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Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans.

Publication ,  Journal Article
Jackson, KM; Kono, TJY; Betancourt, JJ; Wang, Y; Kabbale, KD; Ding, M; Kezh, P; Ha, G; Yoder, JM; Fulton, SR; Mukaremera, L; Tiffin, P ...
Published in: Nat Commun
December 2, 2024

Studies across various pathogens highlight the importance of pathogen genetic differences in disease manifestation. In the human fungal pathogen Cryptococcus neoformans, sequence type (ST) associates with patient outcome. We performed a meta-analysis of four genomic studies and identified overlapping gene regions associated with virulence, suggesting the importance of these gene regions in cryptococcal disease in diverse clinical isolates. We explored the relationship between virulence and strain genetic differences using the cryptococcosis mouse model and a closely related library of ST93 clinical isolates. We identified four in vivo virulence phenotypes: hypervirulence, typical virulence with CNS disease, typical virulence with non-CNS disease, and latent disease. Hypervirulent isolates were clade specific and associated with an interferon gamma (IFNγ) dominated immune response. Using a genome wide association study (GWAS), we identified nine genes with polymorphisms associated with IFNγ production, including the inositol sensor ITR4. The itr4Δ mutant recapitulated the hypervirulence phenotype and ITR4 affects expression of two IFNγ associated genes. Finally, we showed that IFNγ production is associated with SNPs that downregulate ITR4 and with SNP accumulation in other IFNγ associated genes. These data highlight the complex role of pathogen genetics in virulence and identify genes associated with hypervirulence and IFNγ in Cryptococcus neoformans.

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Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

December 2, 2024

Volume

15

Issue

1

Start / End Page

10491

Location

England

Related Subject Headings

  • Virulence
  • Species Specificity
  • Polymorphism, Single Nucleotide
  • Mice
  • Interferon-gamma
  • Humans
  • Genome-Wide Association Study
  • Gene Expression Regulation, Fungal
  • Fungal Proteins
  • Disease Models, Animal
 

Citation

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Jackson, K. M., Kono, T. J. Y., Betancourt, J. J., Wang, Y., Kabbale, K. D., Ding, M., … Nielsen, K. (2024). Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans. Nat Commun, 15(1), 10491. https://doi.org/10.1038/s41467-024-54729-6
Jackson, Katrina M., Thomas J. Y. Kono, Jovany J. Betancourt, Yina Wang, Kisakye D. Kabbale, Minna Ding, Perry Kezh, et al. “Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans.Nat Commun 15, no. 1 (December 2, 2024): 10491. https://doi.org/10.1038/s41467-024-54729-6.
Jackson KM, Kono TJY, Betancourt JJ, Wang Y, Kabbale KD, Ding M, et al. Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans. Nat Commun. 2024 Dec 2;15(1):10491.
Jackson, Katrina M., et al. “Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans.Nat Commun, vol. 15, no. 1, Dec. 2024, p. 10491. Pubmed, doi:10.1038/s41467-024-54729-6.
Jackson KM, Kono TJY, Betancourt JJ, Wang Y, Kabbale KD, Ding M, Kezh P, Ha G, Yoder JM, Fulton SR, Mukaremera L, Tiffin P, Gusa A, Meya DB, Billmyre RB, Xue C, Nielsen K. Single nucleotide polymorphisms are associated with strain-specific virulence differences among clinical isolates of Cryptococcus neoformans. Nat Commun. 2024 Dec 2;15(1):10491.

Published In

Nat Commun

DOI

EISSN

2041-1723

Publication Date

December 2, 2024

Volume

15

Issue

1

Start / End Page

10491

Location

England

Related Subject Headings

  • Virulence
  • Species Specificity
  • Polymorphism, Single Nucleotide
  • Mice
  • Interferon-gamma
  • Humans
  • Genome-Wide Association Study
  • Gene Expression Regulation, Fungal
  • Fungal Proteins
  • Disease Models, Animal