The characterization of the metabolome is a critical aspect in basic research and plant breeding. In this work, the putative application of metabolomics for phenotyping closely related genotypes has been tested. Crude extracts were profiled by LC-MS and GC-MS, and mass data extraction was performed with XCMS software. Result validation was achieved with principal component analysis (PCA). The ability of the profiling methodologies to discriminate plant genotypes was assessed after hierarchical clustering analysis (HCA). Cluster robustness was assessed by a multiscale bootstrap resampling method. A better performance of LC-MS profiling over GC-MS was evidenced in terms of phenotype demarcation after PCA and HCA. Citrus demarcation was similarly achieved independently of the environmental conditions used to grow plants. In addition, when all different locations were pooled in a single experimental design, it was still possible to differentiate the three closely related genotypes. The presented methodology provides a fast and nontargeted workflow as a powerful tool to discriminate related plant phenotypes. The novelty of the technique relies on the use of mass signals as markers for phenotype demarcation independent of putative metabolite identities and the relatively simple analytical strategy that can be applicable to a wide range of plant matrices with no previous optimization.
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Syst Appl Microbiol
January 2025
School of Food and Biological Engineering, Jiangsu University, Zhenjiang 212013, PR China. Electronic address:
Four novel halophilic archaeal strains CGA53, CG83, FCH27, and SEDH24 were isolated from a soda lake and two saline lakes in China, respectively. Strain CGA53 showed the highest 16S rRNA gene similarity (92.6%) to Salinilacihabitans rarus AD-4, and the other three strains were found to be related to Halalkalicoccus species with similarities of 97.
View Article and Find Full Text PDFInt Immunopharmacol
December 2024
Department of Cardiology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, China. Electronic address:
After acute myocardial infarction, the heart mainly relies on fibrosis remodeling repair to maintain the structural and functional integrity of the heart, however, excessive fibrosis is an important cause of heart failure. Macrophages play an important regulatory role in cardiac fibrosis and have been found to transform into myofibroblasts through their own phenotype. Based on the existing evidence and previous research results, we summarizes the potential and mechanism of macrophage-to-myofibroblast transition (MMT) in cardiac fibrosis.
View Article and Find Full Text PDFSci Total Environ
December 2024
Department of Pathology, Pennsylvania State University College of Medicine, PA, USA; Jake Gittlen Laboratories for Cancer Research, Pennsylvania State University College of Medicine, PA, USA. Electronic address:
Daphnia are keystone species of freshwater habitats used as model organisms in ecology and evolutionary biology. Their small size, wide geographic distribution, and sensitivity to chemicals make them useful as environmental sentinels in regulatory toxicology and chemical risk assessment. Biomolecular (-omic) assessments of responses to chemical toxicity, which reveal detailed molecular signatures, become more powerful when correlated with other phenotypic outcomes (such as behavioral, physiological, or histopathological) for comparative validation and regulatory relevance.
View Article and Find Full Text PDFPediatr Dermatol
December 2024
Pediatric Dermatology Department, Barcelona Children's Hospital Sant Joan de Déu, Barcelona, Spain.
Background: Many vascular anomalies harbor postzygotic somatic variants in GNAQ and GNA11; however, the phenotype of specific G-protein variants has not been well described. We report the clinical characteristics of 17 patients with a GNA11 R183C variant.
Methods: This case series is derived from a multinational cohort of vascular anomaly patients whose pathogenic mutations were identified using high-depth next generation sequencing.
Zh Nevrol Psikhiatr Im S S Korsakova
November 2024
Pirogov Russian National Research Medical University, Moscow, Russia.
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