The grass family (Poaceae) is one of the largest families of flowering plants, growing in all climatic zones of all continents, which includes species of exceptional economic importance. The high adaptability of grasses to adverse environmental factors implies the existence of efficient resistance mechanisms that involve the production of antimicrobial peptides (AMPs). Of plant AMPs, defensins represent one of the largest and best-studied families. Although wheat and barley seed γ-thionins were the first defensins isolated from plants, the functional characterization of grass defensins is still in its infancy. In this review, we summarize the current knowledge of the characterized defensins from cultivated and selected wild-growing grasses. For each species, isolation of defensins or production by heterologous expression, peptide structure, biological activity, and structure-function relationship are described, along with the gene expression data. We also provide our results on in silico mining of defensin-like sequences in the genomes of all described grass species and discuss their potential functions. The data presented will form the basis for elucidation of the mode of action of grass defensins and high adaptability of grasses to environmental stress and will provide novel potent molecules for practical use in medicine and agriculture.
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http://dx.doi.org/10.3390/biom10071029 | DOI Listing |
Biomed Pharmacother
December 2024
Center of Excellence on Natural Products for Neuroprotection and Anti-Ageing, Chulalongkorn University, Bangkok 10330, Thailand; Research, Innovation and International Affairs, Faculty of Allied Health Sciences, Chulalongkorn University, Bangkok, Thailand. Electronic address:
Model organisms are commonly used to study human diseases; we set out to understand the relevance of several model organisms with relation to the σ1R protein. The study explored the interactions of σ1R with various agonists, antagonists across different species. Ligand and protein-protein (σ1R-BiP) docking approaches were used to understand the significance of σ1R in modulating neuroprotective mechanisms and its potential role in Alzheimer's.
View Article and Find Full Text PDFInt J Med Robot
February 2025
Insitute for Robotics and Kognitive Systems, University of Luebeck, Luebeck, Germany.
Background: Robotic ultrasound visualises internal organs in real-time for various medical applications without the harm of X-rays. The ultrasound probe is attached to the robot's end effector using custom-developed probe holders. This paper analyzes the impact of different probe holder geometries on the robot's base placement and reachability.
View Article and Find Full Text PDFPLOS Glob Public Health
December 2024
Centre Interfacultaire de Formation et de Recherche en Environnement pour le développement Durable, Université d'Abomey-Calavi, Abomey-Calavi, Benin.
People with disabilities (PWDs) due to neglected tropical diseases (NTDs) or other causes experience restrictions on social participation (RSPs). This study aimed to investigate the magnitude of these restrictions and associated factors in NTD-endemic communities in Benin and Côte d'Ivoire. This cross-sectional quantitative and qualitative study was conducted from 2021 to 2022 among 841 people with disabilities (PWDs) and 90 community members and stakeholders.
View Article and Find Full Text PDFChem Rev
December 2024
Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, California 90089, United States.
Conventional artificial intelligence (AI) systems are facing bottlenecks due to the fundamental mismatches between AI models, which rely on parallel, in-memory, and dynamic computation, and traditional transistors, which have been designed and optimized for sequential logic operations. This calls for the development of novel computing units beyond transistors. Inspired by the high efficiency and adaptability of biological neural networks, computing systems mimicking the capabilities of biological structures are gaining more attention.
View Article and Find Full Text PDFVet Sci
December 2024
Laboratory of Metabolic Manipulation of Herbivorous Animal Nutrition, College of Animal Science and Technology, Yangzhou University, Yangzhou 225009, China.
Distinctive molecular approaches and tools, particularly high-throughput SNP genotyping, have been applied to determine and discover SNPs, potential genes of interest, indicators of evolutionary selection, genetic abnormalities, molecular indicators, and loci associated with quantitative traits (QTLs) in various livestock species. These methods have also been used to obtain whole-genome sequencing (WGS) data, enabling the implementation of genomic selection. Genomic selection allows for selection decisions based on genomic-estimated breeding values (GEBV).
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