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Series GSE260932 Query DataSets for GSE260932
Status Public on Aug 09, 2024
Title QTL Mapping and Bulk Segregant Analysis identifies CO2 tolerance genes associated with virulence in the global pathogen Cryptococcus neoformans
Organism Cryptococcus neoformans
Experiment type Expression profiling by high throughput sequencing
Summary Cryptococcus neoformans is a ubiquitous free-living soil yeast and opportunistic pathogen that causes ~223,100 cases of cryptococcal meningitis per year, killing over 180,000 people. The pathogenicity of C. neoformans relies on its adaptation to the host conditions. An important difference between its natural environment and the mammalian host is the concentration of CO2. CO2 levels in the host fluctuate around 5%, which is ~125-fold higher than in ambient air. We recently found that while clinical isolates are tolerant to host levels ofCO2, many environmental isolates are CO2-sensitive and virulence-attenuated in animal models. The genetic basis responsible for cryptococcal adaptation to high levels of CO2 is unknown. Here, we utilized quantitative trait loci (QTL) mapping with 374 progeny from a cross between a CO2-tolerant clinical isolate and a CO2-sensitive environmental isolate to identify genetic regions regulating CO2 tolerance. To identify specific quantitative trait genes (QTGs), we applied fine mapping through backcrossing and bulk segregant analysis coupled with pooled genome sequencing of near-isogenic progeny but with distinct tolerance levels to CO2. The roles of the identified QTGs in CO2 tolerance were verified by targeted gene deletion. We further demonstrated that virulence levels among near-isogenic strains in a murine model of cryptococcosis correlate with their levels of CO2 tolerance. Moreover, we discovered that sensitive strains may adapt in vivo to become more tolerant to increased CO2 levels and more virulent. These findings highlight the underappreciated role of the host CO2 tolerance and its importance in the ability of an opportunistic environmental pathogen to cause disease.
 
Overall design To investigate the effects of host levels of CO2 compared to enviornmental levels of CO2 on Cryptococcus neoformans gene expression in environmental isolates A1-84-14 and A7-35-23 compared to a clinical isolate and reference strain, H99 at 24 hours, in biological triplicate.
 
Contributor(s) Chadwick BJ, Xie X, Ristow LC, Krysan DJ, Lin X
Citation(s) 38742885
Submission date Mar 05, 2024
Last update date Aug 09, 2024
Contact name Damian J Krysan
E-mail(s) damian-krysan@uiowa.edu
Phone 319-335-3066
Organization name University of Iowa Hospitals and Clinics
Department Division of Pediatrics & Infectious Disease
Lab Krysan
Street address 25 South Grand, 2040 ML
City Iowa City
State/province IA
ZIP/Postal code 52242
Country USA
 
Platforms (1)
GPL21073 Illumina HiSeq 4000 (Cryptococcus neoformans)
Samples (18)
GSM8128206 H99 Amb 24h 1
GSM8128207 H99 Amb 24h 2
GSM8128208 H99 Amb 24h 3
Relations
BioProject PRJNA1084063

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE260932_Normalized_counts.xlsx 2.1 Mb (ftp)(http) XLSX
GSE260932_Raw_gene_counts.xlsx 963.4 Kb (ftp)(http) XLSX
SRA Run SelectorHelp
Raw data are available in SRA

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