Jackson, K. M. | Search bioRxiv

bioRxiv2026

An Inositol Receptor Orchestrates Carbon Utilization and Fungal Virulence

Nutrient sensing and utilization are critical for microbes to adapt to their environment and evade predators. The encapsuled yeast Cryptococcus neoformans has a unique ability to sense and utilize the sugar inositol as both a signaling molecule, and as a carbon source. This trait is advantageous not only in the natural environment, but to promote its pathogenesis, including invasion of the central nervous system. Unlike many other fungal species, which utilize the canonical carbon catabolite repression (CCR) mechanism to prioritize glucose metabolism, we have identified a novel inositol transporter-like receptor (transceptor) Itr4 that also regulates CCR genes to maintain inositol metabolism activity even under high glucose conditions. Itr4 binds inositol and regulates the function of other inositol transporters (ITRs) and its loss leads to a significant decrease in inositol uptake activity, resulting in a lack of mating, reduced capsule size, reduced blood brain barrier (BBB) penetration, and virulence attenuation. Mutagenesis analysis of Itr4 protein identified an essential N-terminal tail and two amino acids, Q388 and Q389, as sites of functional importance. The ITR4Q388A, Q389A allele showed a dominant phenotype with increased inositol uptake, enlarged capsule and significantly attenuated virulence. In summary, we identify a new C. neoformans inositol transceptor, Itr4, the first such example in eukaryotes, with novel regulatory roles in both inositol and glucose metabolism and fungal virulence.

microbiology↗

bioRxiv2020

Intertumoral Genetic Heterogeneity Generates Distinct Tumor Microenvironments in a Novel Murine Synchronous Melanoma Model

Synchronous metastatic melanoma, clinically defined as multiple lesions diagnosed within 6 months, has a poor prognosis. Despite recent advances in systemic immunotherapy, a majority of patients fail to respond or exhibit lesion-specific responses. While intertumoral heterogeneity has been clinically associated with lesion-specific therapeutic responses, no clear mechanism has been identified, largely due to the scarcity of preclinical models. We developed a novel murine synchronous melanoma model that recapitulates clinical intertumoral heterogeneity. We show that genetic differences between tumors generate distinct tumor immune microenvironments (TIME). These TIMEs can independently upregulate PD-1/PD-L1 expression in response to ongoing anti-tumor immunity and the presence of interferon-gamma. The simultaneous presence of multiple tumors can additionally alter the TIME of each tumor. As such, our model provides a unique approach to investigate the effects of intertumoral heterogeneity on mechanisms of immunotherapy resistance.

cancer biology↗

bioRxiv2019

Identification of pathogen genomic differences that impact human immune response and disease during Cryptococcus neoformans infection

Patient outcomes during infection are due to a complex interplay between the quality of medical care, host immunity factors, and the infecting pathogens characteristics. To probe the influence of pathogen genotype on human immune response and disease, we examined Cryptococcus neoformans isolates collected during the Cryptococcal Optimal ART Timing (COAT) trial in Uganda. We measured human participants immunologic phenotypes, meningitis disease parameters, and survival. We compared this clinical data to whole genome sequences from 38 C. neoformans isolates of the most frequently observed sequence type (ST) ST93 in our Ugandan participant population, and an additional 18 strains from 9 other sequence types representing the known genetic diversity within the Ugandan Cryptococcus clinical isolates. We focused our analyses on 652 polymorphisms that: were variable among the ST93 genomes, were not in centromeres or extreme telomeres, and were predicted to have a fitness effect. Logistic regression and principal component analyses identified 40 candidate Cryptococcus genes and 3 hypothetical RNAs associated with human immunologic response or clinical parameters. We infected mice with 17 available KN99 gene deletion strains for these candidate genes and found that 35% (6/17) directly influenced murine survival. Four of the six gene deletions that impacted murine survival were novel. Such bedside-to-bench translational research provides important candidate genes for future studies on virulence-associated traits in human Cryptococcus infections.\n\nAuthor SummaryEven with the best available care, mortality rates in cryptococcal meningitis range from 20-60%. Disease is often due to infection by the fungus Cryptococcus neoformans and involves a complex interaction between the human host and the fungal pathogen. Although previous studies have suggested genetic differences in the pathogen impact human disease, it has proven quite difficult to identify the specific C. neoformans genes that impact the outcome of the human infection. Here, we take advantage of a Ugandan patient cohort infected with closely related C. neoformans strains to examine to role of pathogen genetic variants on several human disease characteristics. Using a pathogen whole genome sequencing approach, we showed that 40 C. neoformans genes are associated with human disease. Surprisingly, many of these genes are specific to Cryptococcus and have unknown functions. We also show deletion of these genes alters disease in a mouse model of infection, confirming their role in disease. These findings are particularly important because they are the first to identify C. neoformans genes associated with human cryptococcal meningitis and lay the foundation for future studies that may lead to new treatment strategies aimed at reducing patient mortality.

genetics↗