Cold snaps can restrict tea growth, damage young leaves, and reduce crop yield and quality, yet the molecular links between hormone signaling and cold defense have remained unclear. 

Nitrilases are critical industrial biocatalysts for converting nitriles into high-value carboxylic acids, yet their application is often hindered by the formation of insoluble inclusion bodies during heterologous expression. A new study introduces a robust engineering strategy utilizing superfolder green fluorescent protein (sfGFP) fusion to screen for solubility-enhancing mutations. By targeting surface hydrophobic residues, researchers successfully developed a triple mutant, PD1Mut3, which exhibits significantly improved soluble yield, thermostability, and catalytic efficiency, offering a generalizable platform for optimizing enzyme production.

A localized study in Tiaty, Kenya, shows how climate variability and land-use change are reshaping pastoral and agro-pastoral livelihoods. Using satellite imagery, climate records, agroecological information, and socioeconomic data, researchers found shifts in vegetation, rainfall seasonality, livestock choices, and settlement patterns. The findings highlight the need for locally tailored adaptation strategies that support resilient livestock systems, sustainable rangeland management, and climate-smart farming.

Apple Valsa canker, caused by the fungus Valsa mali, ranks among the most destructive diseases threatening global apple production. 

A new study published in Big Earth Data proposes an operational framework that integrates multiple machine learning and deep learning models with high-resolution Sentinel-2 data to estimate agricultural drought conditions in irrigated and non-irrigated maize fields in Eastern Austria. Results from 2018–2023 show that deep learning models, particularly the Deep Neural Network (DNN), achieved the best performance, while non-irrigated fields exhibited higher prediction accuracy due to clearer drought signals, demonstrating the value of Sentinel-2–based deep learning for operational drought monitoring.

Chronic subdural hematoma (cSDH) disproportionately affects the elderly and is expected to be the most frequent cranial surgical indication by 2030. Yet, no globally accepted evidence-based practice guidelines currently exist, and significant controversy continues over key treatment approaches, including middle meningeal artery embolization (MMAE), perioperative supportive pharmacotherapy, and the handling of anticoagulant therapy.

Litchi fruit harbors beneficial surface microbes that change predictably during storage. A 9‑day study of litchi peel microbiota identified multiple key bacterial genera linked to storage progression. A random forest model based on these biomarkers accurately predicted fruit freshness. Among the isolates, Gluconobacter sp. Lc45 strongly inhibited two major postharvest pathogens (Peronophythora litchii and Colletotrichum gloeosporioides), offering the potential of native microbiota for freshness monitoring and eco‑friendly disease control.

Scientists have discovered a novel infection-associated organelle, termed the “virulensome,” in the nematode-trapping fungus Dactylellina haptotyla. Previously observed only as mysterious electron-dense structures, virulensomes are now shown to form specifically in response to nematode stimulation. They function as cellular hubs enriched with diverse virulence factors. These organelles rapidly deploy pathogenic molecules into the host, revealing a previously unknown strategy underlying fungal infection. The findings were published in SCIENCE CHINA Life Sciences.

Researchers have developed a solid-state electrolyte design strategy that enables rapid lithium-ion transport while using substantially less lithium. By forming connected interfacial networks inside oxychloride electrolytes, the strategy combines high ionic conductivity with tunable properties, including high-voltage stability. The concept was validated in long-life, high-rate all-solid-state batteries and may provide a new route for designing a family of lean-lithium solid electrolytes.