Virulence-associated variants in <i>Cryptococcus neoformans</i> sequence type 93 are less likely to be associated with population structure compared to independent rare mutations

<i>Cryptococcus neoformans</i> is a pathogenic yeast that is the causative agent of cryptococcal meningitis. While it is well known that the genotype of <i>C. neoformans</i> impacts patient outcomes, the reason for this association has not been well elucidated. In this study, we examined the relationship between two subpopulations in the sequence type 93 clade of <i>C. neoformans</i>: ST93A and ST93B. We found extensive linkage disequilibrium (LD) among the single nucleotide polymorphisms (SNPs) that differentiate ST93A from ST93B. We also found differences in the extent of linkage among SNPs within each subpopulation; LD was more extensive within ST93B than ST93A. SNPs associated with virulence were in long-range linkage disequilibrium with less frequency than recurrent SNPs not associated with virulence. We investigated the karyotype of ST93A and ST93B using contour-clamped gel electrophoresis and long-read sequencing and found that the extensive long-range linkage was not due to chromosomal rearrangements. Overall, we found that the two subpopulations in ST93 are driven by SNPs in LD. We additionally found that recurrent SNPs associated with virulence were less frequently evolutionarily linked and were two times more likely to be independent, congruent mutations rather than tied to phylogeny.IMPORTANCE<i>Cryptococcus neoformans</i> is an important pathogen that is widely distributed and ubiquitous in the environment. The majority of the human population has a latent, controlled infection suggesting that <i>C. neoformans</i> is uniquely adapted to cause infection. In spite of this, the reason <i>C. neoformans</i> is a pathogen remains unknown; interestingly, most environmental isolates are avirulent but are genetically very similar to disease-causing virulent isolates. Recent evidence from genome-wide association studies shows that small mutations in key virulence-associated genes are associated with the virulence of specific isolates. The data presented here provide an evolutionary framework for those small mutations. The mutations that impact disease are not being collected over long-term evolution. The mutations may instead occur independently during infection. Identifying these genes that are more likely to be mutated during infection will be fundamental for understanding <i>C. neoformans</i> virulence.

Authors

Institutions

Publication Details

Journal
Microbiology Spectrum
Published
2024-11-27
DOI
https://doi.org/10.1128/spectrum.01709-24
Primary Topic
Fungal Infections and Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virulence-associated variants in Cryptococcus neoformans sequence type 93 are less likely to be associated with population structure compared to independent rare mutations

Marissa Macchietto, Kirsten Nielsen, Peter Tiffin, Katrina M. Jackson et al.
Microbiology Spectrum
Fungal Infections and Studies
article

Virulence-associated variants in Cryptococcus neoformans sequence type 93 are less likely to be associated with population structure compared to independent rare mutations

Marissa Macchietto, Kirsten Nielsen, Peter Tiffin, Katrina M. Jackson, David B. Meya, Kisakye Diana Kabbale
article en

Abstract

<i>Cryptococcus neoformans</i> is a pathogenic yeast that is the causative agent of cryptococcal meningitis. While it is well known that the genotype of <i>C. neoformans</i> impacts patient outcomes, the reason for this association has not been well elucidated. In this study, we examined the relationship between two subpopulations in the sequence type 93 clade of <i>C. neoformans</i>: ST93A and ST93B. We found extensive linkage disequilibrium (LD) among the single nucleotide polymorphisms (SNPs) that differentiate ST93A from ST93B. We also found differences in the extent of linkage among SNPs within each subpopulation; LD was more extensive within ST93B than ST93A. SNPs associated with virulence were in long-range linkage disequilibrium with less frequency than recurrent SNPs not associated with virulence. We investigated the karyotype of ST93A and ST93B using contour-clamped gel electrophoresis and long-read sequencing and found that the extensive long-range linkage was not due to chromosomal rearrangements. Overall, we found that the two subpopulations in ST93 are driven by SNPs in LD. We additionally found that recurrent SNPs associated with virulence were less frequently evolutionarily linked and were two times more likely to be independent, congruent mutations rather than tied to phylogeny.IMPORTANCE<i>Cryptococcus neoformans</i> is an important pathogen that is widely distributed and ubiquitous in the environment. The majority of the human population has a latent, controlled infection suggesting that <i>C. neoformans</i> is uniquely adapted to cause infection. In spite of this, the reason <i>C. neoformans</i> is a pathogen remains unknown; interestingly, most environmental isolates are avirulent but are genetically very similar to disease-causing virulent isolates. Recent evidence from genome-wide association studies shows that small mutations in key virulence-associated genes are associated with the virulence of specific isolates. The data presented here provide an evolutionary framework for those small mutations. The mutations that impact disease are not being collected over long-term evolution. The mutations may instead occur independently during infection. Identifying these genes that are more likely to be mutated during infection will be fundamental for understanding <i>C. neoformans</i> virulence.

Microbiology SpectrumVol. 13(1)
University of Minnesota (US), Northern Arizona University (US), Pittsburgh Supercomputing Center (US), Infectious Diseases Institute (UG), Institute of Bioinformatics (IN), Makerere University (UG), Virginia Tech (US)
National Institutes of Health, National Institute of Allergy and Infectious Diseases
Life in Land
Openalex Percentile: Top 68%
Fungal Infections and Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.