One of the ultimate goals of plant breeding is the development of new crop cultivars capable of withstanding increasing environmental stresses, to sustain the constantly growing population and economic demands. Investigating the chemical composition of the above and underground tissues of cultivars is crucial for the understanding of common and specific traits thereof. Using an untargeted metabolomics approach together with appropriate chemometrics tools, the differential metabolite profiles of leaf and root extracts from five cultivars of barley ('Erica', 'Elim', 'Hessekwa', 'S16' and 'Agulhas') were explored and potential signatory biomarkers were revealed. The study was conducted on seedlings grown for 21 days under identical controlled conditions. An ultra-high performance liquid chromatography coupled to high-resolution mass spectrometry (UHPLC-HRMS) was employed to analyse hydromethanolic leaf and root extracts of barley cultivars. Furthermore, unsupervised and supervised learning algorithms were applied to mine the generated data and to pinpoint cultivar-specific metabolites. Among all the classes of metabolites annotated, phenolic acids and derivatives formed the largest group and also represented the most discriminatory metabolites. In roots, saponarin, an important allelochemical differentially distributed across cultivars, was the only flavonoid annotated. The application of an untargeted metabolomics approach in phenotyping grain crops such as barley was demonstrated, and the metabolites responsible for differentiating between the selected cultivars were revealed. The study provides insights into the chemical architecture of barley, an agro-economically relevant cereal crop; and reiterates the importance of metabolomics tools in plant breeding practices for crop improvement.
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http://dx.doi.org/10.3390/metabo11090578 | DOI Listing |
J Neurochem
January 2025
Center for Protein Diagnostics (PRODI) Biospectroscopy, Ruhr University Bochum, Bochum, Germany.
Alzheimer's disease (AD) is characterized by the accumulation of amyloid-beta (Aβ) plaques in the brain, contributing to neurodegeneration. This study investigates lipid alterations within these plaques using a novel, label-free, multimodal approach. Combining infrared (IR) imaging, machine learning, laser microdissection (LMD), and flow injection analysis mass spectrometry (FIA-MS), we provide the first comprehensive lipidomic analysis of chemically unaltered Aβ plaques in post-mortem human AD brain tissue.
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Dongying People's Hospital (Dongying Hospital of Shandong Provincial Hospital Group), Dongying, 257091, Shandong, People's Republic of China.
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View Article and Find Full Text PDFSci Rep
January 2025
Department of Life Sciences, University of Modena and Reggio Emilia, Via Giuseppe Campi 103-287, 41125, Modena, Italy.
The present study was aimed at revealing the metabolic changes that occurred in the cellular lipid pattern of acute and chronic myeloid leukaemia cells following treatment with cannabidiol (CBD). CBD is a non-psychoactive compound present in Cannabis sativa L., which has shown an antiproliferative action in these type of cancer cells.
View Article and Find Full Text PDFJ Hazard Mater
January 2025
Vanke School of Public Health, Tsinghua University, Beijing 100084, China; Institute for Healthy China, Tsinghua University, Beijing 100084, China. Electronic address:
The relationship between fine particulate matter (PM) and cognition has been extensively investigated. However, the causal impact of acute PM purification on cognition improvement and the underlying biological mechanisms remain relatively opaque. Our double-blinded randomized controlled trial assessed the impact of acute PM purification on executive function, underpinned by multi-omics approaches including alternative splicing (AS) analysis.
View Article and Find Full Text PDFPoult Sci
December 2024
Postgraduate Program in Veterinary Sciences, Faculty of Veterinary Medicine, Federal University of Uberlândia, Brazil; Postgraduate Program in Genetics and Biochemistry, Federal University of Uberlândia, Brazil.
One possible approach to selecting chicks based on quality involves identifying biomarkers in biological samples. Concurrently, understanding the metabolic profile of chicks from different-aged breeders is essential for developing strategies to mitigate the age-related effects on hatchability. This study investigated whether chick quality and breeder age influence the metabolic profile of layer chick meconium.
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