Genome-Wide Identification of Xyloglucan Endotransglucosylase/Hydrolase Multigene Family in Chinese Jujube () and Their Expression Patterns Under Different Environmental Stresses.

The Xyloglucan endotransglucosylase/hydrolase (XTH) family, a group of cell wall-modifying enzymes, plays crucial roles in plant growth, development, and stress adaptation. The quality and yield of Chinese jujube () fruit are significantly impacted by environmental stresses, including excessive salinity, drought, freezing, and disease. However, there has been no report of the XTH encoding genes present in the Chinese jujube genome and their response transcription level under various stresses.

The Influence of Microbiota on Wild Birds' Parental Coprophagy Behavior: Current Advances and Future Research Directions.

This comprehensive review provides an in-depth exploration of the intriguing phenomenon of parental coprophagy in wild birds and its profound implications on the influence of adult avian parents' health. This review investigates the composition and dynamics of avian feces' microbiota, casting light on the various dietary, environmental, and genetic factors that influence its diversity. Furthermore, it emphasizes parental coprophagy, a behavior observed in numerous bird species, particularly among herbivorous and passerine birds.

Development of Zn-CoS@Ni(OH) Heterostructured Nanosheets for High-Performance Supercapacitors.

With the increasing societal demand for sustainable and renewable energy, supercapacitors have become research hotspots. Transition metal oxides, due to their high capacitance and abundant resources, are the preferred electrode materials. However, their poor conductivity and volume changes limit performance enhancement.

Enhanced Gaussian Process Model for Predicting Compressive Strength of Ultra-High-Performance Concrete (UHPC).

Ultra-high-performance concrete (UHPC) is widely used in engineering due to its exceptional mechanical properties, particularly compressive strength. Accurate prediction of the compressive strength is critical for optimizing mix proportions but remains challenging due to data dispersion, limited data availability, and complex material interactions. This study enhances the Gaussian Process (GP) model to address these challenges by incorporating Singular Value Decomposition (SVD) and Kalman Filtering and Smoothing (KF/KS).

Transcriptome-Based Gene Modules and Soluble Sugar Content Analyses Reveal the Defense Response of Cotton Leaves to .

is a soil-borne phytopathogenic fungus causing destructive Verticillium wilt disease that greatly threats cotton production worldwide. The mechanism of cotton resistance to Verticillium wilt is very complex and requires further research. In this study, RNA-sequencing was used to investigate the defense responses of cotton leaves using varieties resistant (Zhongzhimian 2, or Z2) or susceptible (Xinluzao 7, or X7) to .