Goufo Piebiep, Cortez Isabel
Centre for the Research and Technology of Agro-Environment and Biological Sciences, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, Vila Real 5000-801, Portugal.
Departamento de Agronomia, Universidade de Trás-os-Montes e Alto Douro, Quinta de Prados, Vila Real 5000-801, Portugal.
Data Brief. 2021 Nov 20;39:107623. doi: 10.1016/j.dib.2021.107623. eCollection 2021 Dec.
Leaf samples were obtained from 'Malvasia Fina' plants with well-characterized esca complex disease symptoms ( = 18) and from healthy uninfected plants ( = 6). Leaves from diseased plants were divided into three groups: asymptomatic (ASY), chlorotic (SY1), and scorched leaves (SY2). The metabolic profile of these leaves was then examined using an ultrahigh performance liquid chromatography system coupled to a Q-Exactive Hybrid Quadrupole-Orbitrap high resolution/accurate mass spectrometer interfaced with a heated electrospray ionization source. The number of small molecules measured in a sample was increased by varying the reconstitution solvent, chromatographic column, and ionization source. Data on accurate masses, peak areas, and relative levels of several metabolites were documented for each leaf sample, using the abovementioned approach. In this paper, data on 235 metabolites of known structural identity are reported, along with the biochemical pathways to which the metabolites belong. The remaining data related to lipid species and with a different focus of the research question are reported elsewhere. The broad coverage of metabolites reported here resulted in a greater coverage of the biochemical pathways involved in grapevine metabolism, which could provide a better understanding of the biochemical changes occurring during the onset and progression of foliar symptoms after invasion of woods by esca-associated pathogens. To determine which metabolites varied according to the study design, the detected ion features were processed using different statistical methods, including mean and median values, fold changes, Welch's two-sample t-test, false discovery rate, and quartiles represented by box and whisker plots. The goal of this statistical evaluation was to assess the responses of healthy, asymptomatic, and symptomatic leaf groups using a pairwise comparison, thus providing an opportunity for detecting statistically significant compounds and uncovering the dynamic metabolic models underlying disease latency and symptom expression.
从具有典型葡萄枝干病害复合症状的“玛尔维萨菲娜”植株（n = 18）和健康未感染植株（n = 6）上采集叶片样本。患病植株的叶片分为三组：无症状组（ASY）、褪绿组（SY1）和焦叶组（SY2）。然后使用与配备加热电喷雾电离源的Q-Exactive混合型四极杆-轨道阱高分辨率/精确质量数质谱仪联用的超高效液相色谱系统检测这些叶片的代谢谱。通过改变重构溶剂、色谱柱和电离源，增加了样品中检测到的小分子数量。使用上述方法记录每个叶片样本的精确质量、峰面积和几种代谢物的相对水平数据。本文报告了235种已知结构身份的代谢物数据，以及这些代谢物所属的生化途径。其余与脂质种类相关且研究问题重点不同的数据在其他地方报告。此处报告的代谢物广泛覆盖导致葡萄代谢中涉及的生化途径覆盖范围更广，这有助于更好地理解葡萄枝干病害相关病原体侵入木质部后叶部症状发生和发展过程中发生的生化变化。为了确定哪些代谢物根据研究设计有所不同，使用不同的统计方法对检测到的离子特征进行处理，包括均值和中位数、倍数变化、韦尔奇双样本t检验、错误发现率以及由箱线图表示的四分位数。这种统计评估的目的是通过成对比较评估健康、无症状和有症状叶片组的反应,从而为检测具有统计学意义的化合物和揭示疾病潜伏期和症状表达背后的动态代谢模型提供机会。
