Fungal symbiont transmitted by free-living mice promotes type 2 immunity.

The gut mycobiota is crucial for intestinal homeostasis and immune function. Yet its variability and inconsistent fungal colonization of laboratory mice hinders the study of the evolutionary and immune processes that underpin commensalism. Here, we show that Kazachstania pintolopesii is a fungal commensal in wild urban and rural mice, with an exceptional ability to colonize the mouse gastrointestinal tract and dominate the gut mycobiome.

Acquired amphotericin B resistance leads to fitness trade-offs that can be mitigated by compensatory evolution in Candida auris.

Candida auris is a growing concern due to its resistance to antifungal drugs, particularly amphotericin B (AMB), detected in 30 to 60% of clinical isolates. However, the mechanisms of AMB resistance remain poorly understood. Here we investigated 441 in vitro- and in vivo-evolved C.

Comparative genomics reveals putative copper tolerance genes in a Fusarium oxysporum strain.

Copper has been widely used as a main component in fungicides due to its versatility and effectivity. However, copper contamination from the environment creates selective pressure for the emergence of copper-tolerant pathogenic fungal strains that may proliferate and further cause damage to important agricultural crops. Although some studies focused on specific cellular mechanisms of copper tolerance, comprehensive genomic data is lacking.

Integration of genomic and pharmacokinetic data to predict clinical outcomes in HIV-associated cryptococcal meningitis.

Unlabelled: Cryptococcal meningitis causes an estimated 112,000 global deaths per annum. Genomic and phenotypic features of the infecting strain of spp. have been associated with outcomes from cryptococcal meningitis.

Improved genome assembly of strain B8441 and annotation of B11205.

is a fungal pathogen of significant worldwide concern, typically resistant to one or more antifungal drugs. We report a completed genome for clade Ia isolate B8441 and gene annotations of clade Ic isolate B11205. These resources will support public health investigations and population genomic studies of this pathogen.

Comparative genomics of the closely related fungal genera Cryptococcus and Kwoniella reveals karyotype dynamics and suggests evolutionary mechanisms of pathogenesis.

In exploring the evolutionary trajectories of both pathogenesis and karyotype dynamics in fungi, we conducted a large-scale comparative genomic analysis spanning the Cryptococcus genus, encompassing both global human fungal pathogens and nonpathogenic species, and related species from the sister genus Kwoniella. Chromosome-level genome assemblies were generated for multiple species, covering virtually all known diversity within these genera. Although Cryptococcus and Kwoniella have comparable genome sizes (about 19.

Analysis of clinical isolates reveals copy number variation in key fluconazole resistance genes.

We used whole-genome sequencing to analyze a collection of 35 fluconazole-resistant and 7 susceptible isolates together with coverage analysis and GWAS techniques to identify new mechanisms of fluconazole resistance. Phylogenetic analysis shows that although the collection is diverse, two persistent clinical lineages were identified. We identified copy number variation (CNV) of two genes, and , in resistant isolates.

A secondary mechanism of action for triazole antifungals in Aspergillus fumigatus mediated by hmg1.

Triazole antifungals function as ergosterol biosynthesis inhibitors and are frontline therapy for invasive fungal infections, such as invasive aspergillosis. The primary mechanism of action of triazoles is through the specific inhibition of a cytochrome P450 14-α-sterol demethylase enzyme, Cyp51A/B, resulting in depletion of cellular ergosterol. Here, we uncover a clinically relevant secondary mechanism of action for triazoles within the ergosterol biosynthesis pathway.

Comparative genomics of and reveals pathogenesis evolution and contrasting karyotype dynamics via intercentromeric recombination or chromosome fusion.

A large-scale comparative genomic analysis was conducted for the global human fungal pathogens within the genus, compared to non-pathogenic species, and related species from the sister genus . Chromosome-level genome assemblies were generated for multiple species of both genera, resulting in a dataset encompassing virtually all of their known diversity. Although and have comparable genome sizes (about 19.

Analysis of clinical isolates reveals copy number variation in key fluconazole resistance genes.

We used whole-genome sequencing to analyse a collection of 35 fluconazole resistant and 7 susceptible isolates together with coverage analysis and GWAS techniques to identify new mechanisms of fluconazole resistance. Phylogenetic analysis shows that although the collection is diverse, two probable outbreak groups were identified. We identified copy number variation of two genes, and , in resistant isolates.

Genome Sequence of Lichtheimia ornata, an Emerging Opportunistic Mucorales Pathogen.

Lichtheimia ornata is an emerging opportunistic Mucorales pathogen that is associated with fatal infections in immunocompromised individuals. While these environmentally acquired infections have rarely been reported to date, cases were noted in a recent analysis of coronavirus disease 2019 (COVID-19)-associated mucormycosis in India. Here, we report the annotated genome sequence of the environmental isolate CBS 291.

Impact of pathogen genetics on clinical phenotypes in a population of Talaromyces marneffei from Vietnam.

Talaromycosis, a severe and invasive fungal infection caused by Talaromyces marneffei, is difficult to treat and impacts those living in endemic regions of Southeast Asia, India, and China. While 30% of infections result in mortality, our understanding of the genetic basis of pathogenesis for this fungus is limited. To address this, we apply population genomics and genome-wide association study approaches to a cohort of 336 T.

Comparing genomic variant identification protocols for .

Genomic analyses are widely applied to epidemiological, population genetic and experimental studies of pathogenic fungi. A wide range of methods are employed to carry out these analyses, typically without including controls that gauge the accuracy of variant prediction. The importance of tracking outbreaks at a global scale has raised the urgency of establishing high-accuracy pipelines that generate consistent results between research groups.

Genome-Wide Identification of Variants Associated with Antifungal Drug Resistance.

Genomic approaches are widely applied to study the genetic basis of antifungal drug resistance in clinical isolates and experimental studies. Whole-genome sequencing of clinical isolates can comprehensively identify mutations associated with drug resistance and their frequency across fungal populations. In addition, genome comparison of serially collected isolates, such as from patient samples or in vitro drug selection experiments, will identify a small number of changes that can be evaluated for association with drug resistance.

Comparison of long- and short-read metagenomic assembly for low-abundance species and resistance genes.

Recent technological and computational advances have made metagenomic assembly a viable approach to achieving high-resolution views of complex microbial communities. In previous benchmarking, short-read (SR) metagenomic assemblers had the highest accuracy, long-read (LR) assemblers generated the most contiguous sequences and hybrid (HY) assemblers balanced length and accuracy. However, no assessments have specifically compared the performance of these assemblers on low-abundance species, which include clinically relevant organisms in the gut.

Multimodal analysis of the COVID-19-associated mucormycosis outbreak in Delhi, India indicates the convergence of clinical and environmental risk factors.

Background: The aetiology of the major outbreak of COVID-19-associated mucormycosis (CAM) in India in spring 2021 remains incompletely understood. Herein, we provide a multifaceted and multi-institutional analysis of clinical, pathogen-related, environmental and healthcare-related factors during CAM outbreak in the metropolitan New Delhi area.

Methods: We reviewed medical records of all patients diagnosed with biopsy-proven CAM (n = 50) at 7 hospitals in the New Delhi, and NCR area in April-June 2021.

Similar evolutionary trajectories in an environmental isolate after human and murine infection.

A pet cockatoo was the suspected source of recovered from an immunocompromised patient with cryptococcosis based on molecular analyses available in 2000. Here, we report whole genome sequence analysis of the clinical and cockatoo strains. Both are closely related MATα strains belonging to the VNII lineage, confirming that the human infection likely originated from pet bird exposure.