Fungal Infection

Programmable design of synthetic plant immune receptors for pathogen protein recognition.

The limited diversity and recognition scope of natural plant immune receptors impede resistance breeding against rapidly evolving pathogens. Here, we report the programmable design of synthetic plant immune receptors (SPIRs). De novo-designed binding modules targeting pathogen proteins were grafted into the integrated decoy domain of a plant immune receptor. SPIRs recognized proteins derived from ...

Ecological Filtering by Tuber Compartments Shapes Stable Core Microbiomes That Underpin Potato Plant Growth Across Environments.

Harnessing plant microbiomes for sustainable agriculture requires understanding not only whether they can boost crop performance, but also how ecological processes govern their assembly, stability, and functional contributions across environments. While we previously showed that seed tuber microbiomes can predict potato vigour using machine learning, it remained unclear how ecological processes sh...

An Interpretable Machine Learning Approach to Ecologically Characterize Soil Carbon and Structure From Multi-Kingdom Microbiome, Texture and Climate.

Soil physical structure is a critical determinant of agricultural landscape resilience, yet standard pedotransfer functions estimate soil hydraulic an...

Interpretable QSAR modelling for PPAR-γ agonist prediction by integrating a stacking strategy, docking, and MD simulations.

Peroxisome proliferator-activated receptor gamma (PPAR-γ) is a ligand-activated nuclear receptor involved in adipogenesis, glucose homeostasis, lipid ...

Active Learning-Accelerated Discovery of Antifungal Polymers With Self-Assembly Capacity for Tackling Invasive Fungal Diseases.

Invasive fungal diseases (IFD) are life-threatening infections with limited clinical management. Antifungal peptide (AFP)-mimicking polymers are promi...

Cutaneous lymphomas - an update.

Primary cutaneous lymphomas (CL) and lymphoproliferative disorders (LPD) are heterogeneous T- and B-cell neoplasms defined by integrated clinical, his...

New WHO Blueprint and Digital Platform Look to Strengthen Surveillance of Fungal Disease and Antifungal Resistance.

Fungal disease and antifungal resistance are growing, historically underrecognized global threats that are difficult to detect and track. In this News...

Strong internal electric field-modulated carbon nitride for tetracycline photodegradation: Guidance by theoretical calculation and machine learning.

Focusing on the limited light absorption and poor charge behaviors of graphitic carbon nitride (CN), this work selected diethyl 2,5-bis(thieno[3,2-b]t...

Identification of spectral biomarkers for early fungal decay in navel oranges by Vis-NIR hyperspectral imaging and multi-scale feature fusion.

Early detection of latent fungal decay caused by Penicillium italicum(P. italicum) and Penicillium digitatum(P. digitatum) remains challenging due to ...

Unclassifiable Invasive Pulmonary Aspergillosis in the Intensive Care Unit: Insights From a Multicenter, Retrospective Cohort Study in France (2022-2024).

BACKGROUND: Suspected invasive pulmonary aspergillosis (IPA) is increasingly treated in intensive care, including in patients without classical immuno...

Recent advances in the defense mechanisms of arbuscular mycorrhizal fungi in antibiotic-contaminated soil ecosystems.

Arbuscular mycorrhizal fungi (AMF) are important soil symbionts that support plant nutrient acquisition, stress tolerance, and soil ecosystem stabilit...

SporaScan: cost-effective, high-precision leaf-disc disease severity assessment for grapevine downy mildew.

BACKGROUND: Accurate assessment of disease severity is essential for evaluating fungicide performance and breeding disease-resistant crop varieties. M...

Predictive models of the genetic bases underlying budding yeast fitness in multiple environments.

The ability of organisms to adapt and survive depends on the effects of genes and the environment on fitness. However, the multigenic nature of fitnes...

Fungal morphotype detection and quantification in microscopic images with TU_MyCo-vision: a user-friendly deep learning object detection tool.

Morphological switching in response to environmental stimuli is a well-known phenomenon in fungi, leading to diverse morphotypes. Microscopic observat...

Machine learning-guided QSAR screening of fluconazole analogs and FDA-approved drugs against Candida albicans, with docking, molecular dynamics, and ADMET analysis.

Invasive candidiasis caused by Candida albicans is a critical-priority fungal disease associated with high mortality, and the increasing resistance to...

Progress and Perspectives of Furanone Derivatives in Pesticide Chemistry.

Furanone and its derivatives, featuring five-membered oxygen-containing heterocyclic rings, offer broad-spectrum bioactivities and favorable environme...

Theranostic innovation in infectious lung diseases: integrating biotechnology and nanotechnology for precision medicine.

INTRODUCTION: Introduction: Infectious lung diseases, including pneumonia, tuberculosis (TB), COVID-19, influenza, and emerging fungal infections, are...

Data-driven optimization of siderophore fermentation by Bacillus altitudinis AS19 and investigation of AS19's antifungal properties against Candida albicans.

Candida albicans is a common opportunistic pathogenic fungus capable of causing severe infections when host immunity is compromised or when the normal...

Intron retention in health and amyotrophic lateral sclerosis.

Intron retention (IR) is the molecular phenomenon by which introns, historically thought to represent non-coding 'junk', remain unspliced within pre-m...

Visual detection technologies for mycotoxins in food products: recent advances, current challenges, and future perspectives.

Food products are highly vulnerable to fungal contamination throughout storage, transportation, and processing, leading to the accumulation of mycotox...