A systematic simulation of the effect of salicylic acid on sphingolipid metabolism.
A systematic simulation of the effect of salicylic acid on sphingolipid metabolism.
复制标题
DOI：
10.3389/fpls.2015.00186
复制
发表时间：
2015
影响因子：
5.6
通讯作者：
Yao N
中科院分区：
文献类型：
--
作者：
Shi C;Yin J;Liu Z;Wu JX;Zhao Q;Ren J;Yao N
植物激素水杨酸(SA)影响植物的发育和防御反应。最近的研究表明，SA也参与了鞘磷脂代谢的调节，但这种调节的细节仍有待探索。在这里，我们使用硅通量平衡分析(FBA)和已发表的微阵列数据来构建一个包括23条途径、259个反应和172个代谢物的全细胞模拟模型，以预测外源SA处理后主要鞘磷脂物种的通量变化。该模型预测了SA处理后某些鞘脂物种的通量发生显著变化，这种变化可能会触发下游的生理和表型效应。为了验证模拟，我们使用15N标记的代谢周转分析来测量SA或SA类似物苯并噻二唑(BTH)处理的拟南芥幼苗中鞘磷脂的含量和周转速率。结果表明，SA和BTH均影响鞘磷脂的代谢，改变了某些物种的浓度，也改变了鞘磷脂的最佳通量分配和周转速率。我们的策略使我们能够在短时间尺度上估计鞘磷脂的通量，并让我们系统地了解SA对鞘磷脂稳态的影响。
The phytohormone salicylic acid (SA) affects plant development and defense responses. Recent studies revealed that SA also participates in the regulation of sphingolipid metabolism, but the details of this regulation remain to beexplored. Here, we use in silico Flux Balance Analysis (FBA) with published microarray data to construct a whole-cell simulation model, including 23 pathways, 259 reactions, and 172 metabolites, to predict the alterations in flux of major sphingolipid species after treatment with exogenous SA. This model predicts significant changes in fluxes of certain sphingolipid species after SA treatment, changes that likely trigger downstream physiological and phenotypic effects. To validate the simulation, we used 15N-labeled metabolic turnover analysis to measure sphingolipid contents and turnover rate in Arabidopsis thaliana seedlings treated with SA or the SA analog benzothiadiazole (BTH). The results show that both SA and BTH affect sphingolipid metabolism, altering the concentrations of certain species and also changing the optimal flux distribution and turnover rate of sphingolipids. Our strategy allows us to estimate sphingolipid fluxes on a short time scale and gives us a systemic view of the effect of SA on sphingolipid homeostasis.
登录
查看更多内容
影响因子：
14.9
作者：
Kanehisa M;Araki M;Goto S;Hattori M;Hirakawa M;Itoh M;Katayama T;Kawashima S;Okuda S;Tokimatsu T;Yamanishi Y
通讯作者：
Yamanishi Y
影响因子：
5.8
作者：
Hucka, M;Finney, A;Wang, J
通讯作者：
Wang, J
影响因子：
46.9
作者：
Fiehn, O;Kopka, J;Willmitzer, L
通讯作者：
Willmitzer, L
影响因子：
11.6
作者：
Markham, Jonathan E.;Molino, Diana;Faure, Jean-Denis
通讯作者：
Faure, Jean-Denis
影响因子：
7.4
作者：
Dal'Molin, Cristiana Gomes de Oliveira;Quek, Lake-Ee;Nielsen, Lars Keld
通讯作者：
Nielsen, Lars Keld