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Jia Yu

Publications and source records attributed to Jia Yu.

2 recordsLinked to original sources

Synergistic transcriptional modules in Trichoderma asperellum enhance glutathione detoxification to counteract fungal pathogen toxins.

Trichoderma fungi are potent biocontrol agents. However, their defence mechanisms against pathogen-derived toxins remain poorly understood. We identified two synergistic transcription factor modules in T. asperellum that orchestrate the detoxification of cytotoxic secondary metabolites from the poplar blight pathogen Alternaria alternata. Overexpression of the central regulator TasMYB46 reduced disease lesion area by approximately 22% and was associated with decreased pathogen-induced reactive oxygen species (ROS) accumulation. Mechanistically, TasMYB46 directly activates the glutathione S-transferases TasGST61.1 and TasGST56.1 through distinct promoter binding sites (G-box/as-1/MBS), forming dedicated detoxification modules. Crucially, we identified urolithin C as the most abundant phytotoxin in A. alternata metabolites, which is efficiently detoxified through the TasMYB46-TasGST61.1 module. The transcription enhancer TasbHLH53.8 amplifies this system by binding to TasMYB46, boosting TasGST expression and enhancing glutathione-dependent detoxification capacity. This coordinated response elevates glutathione pools and antioxidant enzyme activities (GST/GPx), conferring increased oxidative stress resistance. This study reveals a novel defence mechanism in Trichoderma in which MYB-bHLH-GST modules enable biocontrol agents to neutralise pathogen-derived toxins. Given that Alternaria toxins threaten crops globally (tomatoes, potatoes, citrus), the discovered regulatory synergy represents a strategic advance in developing next-generation biocontrol solutions against toxin-producing plant pathogens.

Alternaria

Direct Modeling of the Interfacial Resistance in All-Solid-State Battery.

Interfacial reconstruction and its associated high resistance govern the performance of all-solid-state batteries (ASSBs). However, indirectly inferring interfacial potentials from bulk band alignments masks the true solid-solid electrochemistry, causing orders-of-magnitude discrepancies in predicting space-charge layer (SCL) resistances and impeding interface screening. Herein, by traversing 310 distinct interfaces from &#x223c;29,000 literatures, we develop a non-empirical numerical procedure that directly maps lithium&#x2011;ion redistribution to interfacial resistance by integrating ligand&#x2011;field theory with the SCL model. Considering electric potential differences and intrinsic carrier properties during interfacial reconstruction via a modified ligand-field splitting strength (MLFSS) descriptor yields unprecedented bridging between modeling and measurement, reducing predicted resistance discrepancies from over ten orders of magnitude to within two. On this basis, we resolve the highly system-dependent controversy over oxide interfacial resistances by identifying extreme MLFSS disparities (>3.5&#xa0;eV) as the decisive factor, while emphasizing ion&#x2011;intercalation sulfides (<0.2&#xa0;eV) as cathodes for their intrinsic SCL suppression. The predictive capability of this tunable criterion is validated in an all-sulfide V0.5Cr1.5S4/Li10GeP2S12/75% Li2S-24% P2S5-1% P2O5/Li prototype. The resulting ultralow interfacial resistance of 8.8 &#x3a9; cm2 ensures superior cycling stability at an active-material energy density of 562&#xa0;Wh kg-1, establishing a practical paradigm for breaking the energy and kinetics trade-off in ASSBs.

all&#x2010;solid&#x2010;state battery