Pontarin Nicole, Molinié Roland, Mathiron David, Tchoumtchoua Job, Bassard Solène, Gagneul David, Thiombiano Benjamin, Demailly Hervé, Fontaine Jean-Xavier, Guillot Xavier, Sarazin Vivien, Quéro Anthony, Mesnard François
UMR 1158 Transfontalière BioEcoAgro, BIOlogie des Plantes et Innovation (BIOPI), UPJV, Faculté de Pharmacie, 1 rue des Louvels, CEDEX, 80025 Amiens, France.
PFA, UPJV, 33 rue Saint Leu, 80039 Amiens, France.
Metabolites. 2020 May 26;10(6):218. doi: 10.3390/metabo10060218.
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.
用于榨油的亚麻是一种越来越受欢迎的作物，但其种植需要技术改进。诸如生产力和抗逆性等重要农艺性状应被视为各个器官联合反应及其相互交流的结果。最终，这些反应直接反映了细胞水平的代谢概况。在地上部分，植物表型的复杂性由不同发育阶段的叶片及其合成和交换代谢物的能力所决定。在本研究中，首先利用不同发育阶段叶片的代谢概况来区分亚麻叶片的发育阶段，其次分析叶片内部和叶片之间代谢物的分配情况。为此，通过气相色谱（GC-）和液相色谱-质谱联用（LC-MS）对亚麻叶片交替对中的52种初级和特殊代谢物的浓度进行了跟踪测定。根据其代谢含量，可以区分出处于不同生长阶段的三类叶片群体。初级和特殊代谢物呈现出特征性的分布模式，借助Kohonen自组织映射（SOM）算法可以将随叶龄变化相似的化合物归为一组。最终，通过层次聚类分析（HCA）对代谢物之间的相关性进行可视化，从而能够评估表征不同叶片发育阶段的代谢通量，并研究初级和特殊代谢物之间的关系。
