Publications by authors named "Judith Berman"

Fungal infections are increasingly concerning, particularly in immunocompromised patients. These patients often suffer from comorbidities and receive multiple, non-antifungal medications. The effects of these co-administered medications on fungal cells - and their potential to influence antifungal drug efficacy - are poorly understood.

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Advances in deep learning and AlphaFold2 have enabled the large-scale prediction of protein structures across species, opening avenues for studying protein function and evolution. Here we analyse 11,269 predicted and experimentally determined enzyme structures that catalyse 361 metabolic reactions across 225 pathways to investigate metabolic evolution over 400 million years in the Saccharomycotina subphylum. By linking sequence divergence in structurally conserved regions to a variety of metabolic properties of the enzymes, we reveal that metabolism shapes structural evolution across multiple scales, from species-wide metabolic specialization to network organization and the molecular properties of the enzymes.

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Phenotypic heterogeneity in genetically clonal populations facilitates cellular adaptation to adverse environmental conditions while enabling a return to the basal physiological state. It also plays a crucial role in pathogenicity and the acquisition of drug resistance in unicellular organisms and cancer cells, yet the exact contributing factors remain elusive. In this review, we outline the current state of understanding concerning the contribution of phenotypic heterogeneity to fungal pathogenesis and antifungal drug resistance.

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Article Synopsis
  • Antifungal drug resistance is a significant global health issue, prompting the need for new treatment strategies that involve understanding collateral sensitivity and cross-resistance in pathogenic fungi.
  • A study on Candida auris revealed that using collateral sensitivity-based drug cycling can effectively prevent drug resistance from developing and can help eliminate resistant sub-populations.
  • The findings indicate that incorporating collateral sensitivity into treatment decisions could lead to better antifungal therapies, as certain sensitivity trends appear consistent across different strains and resistance mechanisms.
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Antimicrobial drug resistance poses a global health threat, requiring a deeper understanding of the evolutionary processes that lead to its emergence in pathogens. Complex evolutionary dynamics involve multiple mutations that can result in cooperative or competitive (clonal interference) effects. Candida albicans, a major fungal pathogen, displays high rates of copy number variation (CNV) and loss of heterozygosity (LOH).

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Article Synopsis
  • - Accessing the genetic diversity of species uncovers hidden traits and helps clarify gene functions, especially in natural isolates of Saccharomyces cerevisiae, where around 20% exhibit aneuploidy, which is contradicted by laboratory findings showing its fitness costs.
  • - The research generates a proteomic resource for 796 euploid and aneuploid isolates, revealing that natural aneuploids have better protein dosage compensation compared to lab-generated ones, where many protein subunits show reduced expression.
  • - Findings indicate that natural aneuploidy involves enhanced protein turnover and structural changes in the proteasome, suggesting that studying natural genetic diversity can provide valuable insights into the biological mechanisms behind aneupl
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  • Genetic variation within and between strains affects biological traits and epigenetic mechanisms that regulate cell identity and environmental responses.
  • Histone deacetylases like sirtuins are key in controlling the switch between two cell states in a fungal pathogen.
  • Specific genetic backgrounds influence the frequency of this phenotypic switching, demonstrating how genetic variations can impact mutant behaviors and the need to consider strain background in research.
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  • Modern taxonomic classification of fungi often relies on molecular markers, but this study employs phylogenomics to analyze 710 fungal genomes and reconstruct evolutionary relationships.
  • * The research generated a new set of 1,362 high-quality molecular markers and found that about 7.59% of the fungal strains were previously misidentified, highlighting the need for better population-level sampling in species classification.
  • * The findings indicate that using genomic data can significantly improve the accuracy of identifying fungal species and help resolve ongoing taxonomic debates, ultimately supporting the construction of a more precise Tree of Life.
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Article Synopsis
  • Fungal infections are on the rise worldwide, leading to increased mortality rates and economic costs.
  • There are issues beyond antifungal resistance, such as heteroresistance and tolerance in fungi, which can contribute to treatment failures.
  • The text compares these antifungal responses to their antibacterial counterparts and discusses recent findings on how these issues develop in pathogenic fungi.*
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Echinocandins are a class of antifungal drugs that inhibit the activity of the β-(1,3)-glucan synthase complex, which synthesizes fungal cell wall β-(1,3)-glucan. Echinocandin resistance is linked to mutations in the FKS gene, which encodes the catalytic subunit of the glucan synthase complex. We present a molecular-docking-based model that provides insight into how echinocandins interact with the target Fks protein: echinocandins form a ternary complex with both Fks and membrane lipids.

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an opportunistic human pathogen, poses a significant threat to human health and is associated with significant socio-economic burden. Current antifungal treatments fail, at least in part, because can initiate a strong drug tolerance response that allows some cells to grow at drug concentrations above their minimal inhibitory concentration. To better characterize this cytoprotective tolerance program at the molecular single-cell level, we used a nanoliter droplet-based transcriptomics platform to profile thousands of individual fungal cells and establish their subpopulation characteristics in the absence and presence of antifungal drugs.

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Purpose Of Review: Failure of antifungal treatment is alarmingly common in patients infected with isolates that test as susceptible in vitro. This means that clinical susceptibility tests have limited predictive value for treatment success. To guide the improvement of patient outcomes, we must understand the effects of environmental and metabolic states on drug responses.

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The classic definition of antimicrobial susceptibility to antifungal drugs ignores the persistence of subpopulations that survive in the presence of a drug. Even in entirely clonal populations, small subpopulations of yeast can grow in the presence of a drug, sometimes up to extremely high drug concentrations, such that they may be clinically relevant. Identifying and quantifying the incidence with which these subpopulations arise is an essential step in understanding how pathogenic yeast, such as Candida species (i.

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Antifungal drug tolerance is a response distinct from resistance, in which cells grow slowly above the MIC. Here, we found that the majority (69.2%) of 133 Candida albicans clinical isolates, including standard lab strain SC5314, exhibited temperature-enhanced tolerance at 37°C and 39°C, and were not tolerant at 30°C.

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During mitosis, chromatin is condensed and organized into mitotic chromosomes. Condensation is critical for genome stability and dynamics, yet the degree of condensation is significantly different between multicellular and single-cell eukaryotes. What is less clear is whether there is a minimum degree of chromosome condensation in unicellular eukaryotes.

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The fungal kingdom represents an extraordinary diversity of organisms with profound impacts across animal, plant, and ecosystem health. Fungi simultaneously support life, by forming beneficial symbioses with plants and producing life-saving medicines, and bring death, by causing devastating diseases in humans, plants, and animals. With climate change, increased antimicrobial resistance, global trade, environmental degradation, and novel viruses altering the impact of fungi on health and disease, developing new approaches is now more crucial than ever to combat the threats posed by fungi and to harness their extraordinary potential for applications in human health, food supply, and environmental remediation.

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Prior to the SARS-CoV-2 pandemic, antibiotic resistance was listed as the major global health care priority. Some analyses, including the O'Neill report, have predicted that deaths due to drug-resistant bacterial infections may eclipse the total number of cancer deaths by 2050. Although fungal infections remain in the shadow of public awareness, total attributable annual deaths are similar to, or exceeds, global mortalities due to malaria, tuberculosis or HIV.

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Heme (iron-protoporphyrin IX) is an essential but potentially toxic cellular cofactor. While most organisms are heme prototrophs, many microorganisms can utilize environmental heme as iron source. The pathogenic yeast Candida albicans can utilize host heme in the iron-poor host environment, using an extracellular cascade of soluble and anchored hemophores, and plasma membrane ferric reductase-like proteins.

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The evolutionary rates of functionally related genes often covary. We present a gene coevolution network inferred from examining nearly 3 million orthologous gene pairs from 332 budding yeast species spanning ~400 million years of evolution. Network modules provide insight into cellular and genomic structure and function.

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Invasive fungal infections pose an important threat to public health and are an under-recognized component of antimicrobial resistance, an emerging crisis worldwide. Across a period of profound global environmental change and expanding at-risk populations, human-infecting pathogenic fungi are evolving resistance to all licensed systemic antifungal drugs. In this Review, we highlight the main mechanisms of antifungal resistance and explore the similarities and differences between bacterial and fungal resistance to antimicrobial control.

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Microbial communities are composed of cells of varying metabolic capacity, and regularly include auxotrophs that lack essential metabolic pathways. Through analysis of auxotrophs for amino acid biosynthesis pathways in microbiome data derived from >12,000 natural microbial communities obtained as part of the Earth Microbiome Project (EMP), and study of auxotrophic-prototrophic interactions in self-establishing metabolically cooperating yeast communities (SeMeCos), we reveal a metabolically imprinted mechanism that links the presence of auxotrophs to an increase in metabolic interactions and gains in antimicrobial drug tolerance. As a consequence of the metabolic adaptations necessary to uptake specific metabolites, auxotrophs obtain altered metabolic flux distributions, export more metabolites and, in this way, enrich community environments in metabolites.

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species are the most common human fungal pathogens worldwide. Although C. albicans remains the predominant cause of candidiasis, infections caused by non-albicans species, including C.

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The high morbidity and mortality of cryptococcal meningitis is due to the limited range of therapeutic options: only three classes of antifungal drugs are available (polyenes [amphotericin B], azoles [fluconazole], and pyrimidine analogues [flucytosine]). Fluconazole is the most widely used antifungal drug in sub-Saharan Africa, where cryptococcal meningitis is a major cause of death in patients infected with HIV. In this study, we found that exposure to fluconazole, even for short times (48 h) at subinhibitory concentrations, drove rapid adaptation of Cryptococcus neoformans serotype A strain H99 via the acquisition of different aneuploid chromosomes.

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How cells exposed to one stress are later able to better survive other types of stress is not well understood. In eukaryotic organisms, physiological and pathological stresses can disturb endoplasmic reticulum (ER) function, resulting in "ER stress." Here, we found that exposure to tunicamycin, an inducer of ER stress, resulted in the acquisition of a specific aneuploidy, chromosome 2 trisomy (Chr2x3), in Candida albicans.

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