Kuhalskaya Anastasiya, Wijesingha Ahchige Micha, Perez de Souza Leonardo, Vallarino José, Brotman Yariv, Alseekh Saleh
Max Planck Institute of Molecular Plant Physiology, 14476 Potsdam-Golm, Germany.
Department of Life Sciences, Ben Gurion University of the Negev, 84105 Beersheva, Israel.
Metabolites. 2020 Apr 14;10(4):152. doi: 10.3390/metabo10040152.
Metabolic correlation networks have been used in several instances to obtain a deeper insight into the complexity of plant metabolism as a whole. In tomato (), metabolites have a major influence on taste and overall fruit quality traits. Previously a broad spectrum of metabolic and phenotypic traits has been described using a introgression-lines (ILs) population. To obtain insights into tomato fruit metabolism, we performed metabolic network analysis from existing data, covering a wide range of metabolic traits, including lipophilic and volatile compounds, for the first time. We provide a comprehensive fruit correlation network and show how primary, secondary, lipophilic, and volatile compounds connect to each other and how the individual metabolic classes are linked to yield-related phenotypic traits. Results revealed a high connectivity within and between different classes of lipophilic compounds, as well as between lipophilic and secondary metabolites. We focused on lipid metabolism and generated a gene-expression network with lipophilic metabolites to identify new putative lipid-related genes. Metabolite-transcript correlation analysis revealed key putative genes involved in lipid biosynthesis pathways. The overall results will help to deepen our understanding of tomato metabolism and provide candidate genes for transgenic approaches toward improving nutritional qualities in tomato.
代谢相关网络已在多个实例中被用于更深入地洞察植物整体代谢的复杂性。在番茄中，代谢物对口感和果实整体品质性状有重大影响。此前，利用一个渐渗系（ILs）群体描述了广泛的代谢和表型性状。为了深入了解番茄果实代谢，我们首次根据现有数据进行了代谢网络分析，涵盖了广泛的代谢性状，包括亲脂性和挥发性化合物。我们提供了一个全面的果实相关网络，并展示了初级、次级、亲脂性和挥发性化合物如何相互连接，以及各个代谢类别如何与产量相关的表型性状相联系。结果显示，不同类别的亲脂性化合物内部和之间以及亲脂性与次级代谢物之间具有高度的连通性。我们聚焦于脂质代谢，并构建了一个亲脂性代谢物的基因表达网络，以鉴定新的假定脂质相关基因。代谢物 - 转录本相关性分析揭示了参与脂质生物合成途径的关键假定基因。总体结果将有助于加深我们对番茄代谢的理解，并为通过转基因方法改善番茄营养品质提供候选基因。
