ArticleMetabolites2020
Age-Dependent Metabolic Profiles Unravel the Metabolic Relationships Within and Between Flax Leaves (
Article in Metabolites, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
9 citing papers in PubMed.
- Integrative insights into abiotic stress tolerance in finger millet (Frontiers in plant science · 2026Review
- Review
- Pathogen Stopping and Metabolism Modulation Are Key Points toPlants (Basel, Switzerland) · 2023Article
- Phenolic Compound Profile and Antioxidant Capacity of Flax (Molecules (Basel, Switzerland) · 2023Article
- Secondary Metabolism Rearrangements inMolecules (Basel, Switzerland) · 2022Article
- Integrated omics approaches for flax improvement under abiotic and biotic stress: Current status and future prospects.Frontiers in plant science · 2022Review
- Prediction of Phenolic Contents Based on Ultraviolet-B Radiation in Three-Dimensional Structure of Kale Leaves.Frontiers in plant science · 2022Article
- Physiological and Biochemical Traits of Two MajorFrontiers in plant science · 2021Article
- Special Issue: Plant Metabolomics.Metabolites · 2020Article
Corrections and comments
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Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Flax for oil seed is a crop of increasing popularity, but its cultivation needs technical improvement. Important agronomic traits such as productivity and resistance to stresses are to be regarded as the result of the combined responses of individual organs and their inter-communication. Ultimately, these responses directly reflect the metabolic profile at the cellular level. Above ground, the complexity of the plant phenotype is governed by leaves at different developmental stages, and their ability to synthesise and exchange metabolites. In this study, the metabolic profile of differently-developed leaves was used firstly to discriminate flax leaf developmental stages, and secondly to analyse the allocation of the metabolites within and between leaves. For this purpose, the concentration of 52 metabolites, both primary and specialized, was followed by gas chromatography (GC-) and liquid chromatography coupled to mass spectrometry (LC-MS) in alternate pairs of flax leaves. On the basis of their metabolic content, three populations of leaves in different growth stages could be distinguished. Primary and specialized metabolites showed characteristic distribution patterns, and compounds similarly evolving with leaf age could be grouped by the aid of the Kohonen self-organising map (SOM) algorithm. Ultimately, visualisation of the correlations between metabolites via hierarchical cluster analysis (HCA) allowed the assessment of the metabolic fluxes characterising different leaf developmental stages, and the investigation of the relationships between primary and specialized metabolites.
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