Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease.
Ash leaf metabolomes reveal differences between trees tolerant and susceptible to ash dieback disease.
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DOI：
10.1038/sdata.2017.190
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发表时间：
2017-12-19
期刊：
影响因子：
9.8
通讯作者：
Grant M
中科院分区：
文献类型：
--
作者：
Sambles CM;Salmon DL;Florance H;Howard TP;Smirnoff N;Nielsen LR;McKinney LV;Kjær ED;Buggs RJA;Studholme DJ;Grant M
欧洲白蜡树(Fraxinus Excelsior)目前正受到白蜡树枯萎病(Ash Dieback，ADB)的威胁，该病是由真菌--Fraxineus Hymenoscyphus Fraxineus引起。为了检测和鉴定代谢产物，这些代谢物可能是导致对H.fraxineus抗性的重要途径的产物，我们对丹麦田间试验中鉴定的五个高敏感性和五个低敏感性F.Excelsior个体的叶片进行了非靶向代谢组谱分析。在这项研究中，我们描述了两个数据集。第一种是非靶向LC-MS代谢组学原始数据，来自对ADB具有高敏感性和低敏感性的水曲柳叶片，分阳性和阴性两种模式。这些数据允许以不同的方式执行峰值拾取、比对、缺口填充和保留时间相关性分析。第二，处理后的数据集包含所有样本上的大量对齐特征，从而能够进一步挖掘数据。在这里，我们说明了这个数据集的实用性，这个数据集以前曾被用来识别假定的环烯醚萜苷，众所周知的抗草食萜类衍生物，并在耐受和敏感的灰样中显示出不同的丰度。
European common ash, Fraxinus excelsior, is currently threatened by Ash dieback (ADB) caused by the fungus, Hymenoscyphus fraxineus. To detect and identify metabolites that may be products of pathways important in contributing to resistance against H. fraxineus, we performed untargeted metabolomic profiling on leaves from five high-susceptibility and five low-susceptibility F. excelsior individuals identified during Danish field trials. We describe in this study, two datasets. The first is untargeted LC-MS metabolomics raw data from ash leaves with high-susceptibility and low-susceptibility to ADB in positive and negative mode. These data allow the application of peak picking, alignment, gap-filling and retention-time correlation analyses to be performed in alternative ways. The second, a processed dataset containing abundances of aligned features across all samples enables further mining of the data. Here we illustrate the utility of this dataset which has previously been used to identify putative iridoid glycosides, well known anti-herbivory terpenoid derivatives, and show differential abundance in tolerant and susceptible ash samples.
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影响因子：
3.8
作者：
McKinney, L. V.;Nielsen, L. R.;Kjaer, E. D.
通讯作者：
Kjaer, E. D.
影响因子：
4.6
作者：
Cleary M;Nguyen D;Marčiulynienė D;Berlin A;Vasaitis R;Stenlid J
通讯作者：
Stenlid J
影响因子：
14.9
作者：
Haug K;Salek RM;Conesa P;Hastings J;de Matos P;Rijnbeek M;Mahendraker T;Williams M;Neumann S;Rocca-Serra P;Maguire E;González-Beltrán A;Sansone SA;Griffin JL;Steinbeck C
通讯作者：
Steinbeck C
影响因子：
3.2
作者：
Munoz, Facundo;Marcais, Benoit;Dowkiw, Arnaud
通讯作者：
Dowkiw, Arnaud
影响因子：
1.4
作者：
Przybyl, K
通讯作者：
Przybyl, K