Data for metabolomics and transcriptomics resources for the identification of candidate genes in the biosynthesis of specialized metabolites in <i>Populus </i><i>tremula</i> (L).

Despite their importance, the pathways and enzymes associated with the biosynthesis of many specialized metabolites are yet to be characterized. The integration of multi-omics data represents a powerful approach to link genes encoding enzymes and their regulatory factors to metabolite biosynthesis. However, suitable multi-omics data resources for this approach are scarce. Here we present a data resource comprising Liquid Chromatography Mass Spectrometry (LC-MS) and mRNA-Sequencing data from European aspen (<i>Populus tremula</i> L.) including tissues sampled from different organs, and genotypes that produce contrasting sets of salicinoid phenolic glucosides (SPGs), that are specialized metabolites characteristic for Salicaceae.

尽管诸多特化代谢物的生物合成相关通路与酶类的重要性已获广泛认可，但目前多数此类通路及酶仍未得到完整表征。多组学数据整合是将编码酶的基因及其调控因子与代谢物生物合成过程建立关联的高效研究策略。然而，适配此类研究需求的多组学数据资源仍较为稀缺。本研究报道一款数据资源，其包含来自欧洲山杨（Populus tremula L.）的液相色谱-质谱联用法（Liquid Chromatography Mass Spectrometry, LC-MS）数据与信使RNA测序（mRNA-Sequencing）数据，涵盖不同器官的采样组织，以及可产生不同组成类型水杨苷酚类葡萄糖苷（salicinoid phenolic glucosides, SPGs）的基因型——其中SPGs是柳科（Salicaceae）植物特有的特化代谢物。

搜集汇总

背景与挑战

背景概述

该数据集提供了欧洲山杨（Populus tremula L.）的代谢组学和转录组学数据，包括液相色谱质谱（LC-MS）和mRNA测序数据，覆盖不同器官组织和基因型，旨在识别与特化代谢物（如水杨苷类酚醛葡萄糖苷）生物合成相关的候选基因。数据集发布于2025年，由Umeå University出版，采用CC BY 4.0许可，适用于植物生物化学和基因组学等研究领域。