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应用广义相加模型揭示茉莉酸甲酯诱导的葡萄(佳美品种)细胞培养物中花青素生物合成的动态变化。

Applying generalized additive models to unravel dynamic changes in anthocyanin biosynthesis in methyl jasmonate elicited grapevine ( cv. Gamay) cell cultures.

作者信息

Saw Nay Min Min Thaw, Moser Claudio, Martens Stefan, Franceschi Pietro

机构信息

Research and Innovation Centre, Fondazione Edmund Mach (FEM), Via E. Mach 1, San Michele all'Adige 38010, Italy.

出版信息

Hortic Res. 2017 Jul 26;4:17038. doi: 10.1038/hortres.2017.38. eCollection 2017.

DOI:10.1038/hortres.2017.38
PMID:28758015
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5527128/
Abstract

Plant cell cultures represent important model systems to understand metabolism and its modulation by regulatory factors. Even in controlled conditions, cell metabolism is highly dynamic and can be fully characterized only by time course experiments. Here, we show that statistical analysis of this type of data gains power if it moves to approaches able to compare the 'trends' of the different metabolites. In particular, we show how generalized additive models can be used to model the time-dependent profile of anthocyanin synthesis in grapevine cell suspension cultures ( cv. Gamay), following treatment with 100 μm methyl jasmonate. The sampling was performed daily for 20 days of culturing following elicitation at day 5. All samples were analyzed by UPLC-MS/MS for the identification and quantification of fifteen anthocyanin compounds. The models confirmed the separation in the anthocyanin biosynthetic pathway between delphinidin-based and cyanidin-based compounds, showing that methyl jasmonate modulates the anthocyanin concentration profiles. Our results clearly indicate that the combination of high-throughput metabolomics and state of the art statistical modeling is a powerful approach to study plant metabolism. This approach is expected to gain popularity due to the growing availability of low-cost high-throughput 'omic' assays.

摘要

植物细胞培养是理解代谢及其受调控因子调节的重要模型系统。即使在受控条件下,细胞代谢也是高度动态的,只有通过时间进程实验才能全面表征。在这里,我们表明,如果转向能够比较不同代谢物“趋势”的方法,这类数据的统计分析会更具效力。特别是,我们展示了如何使用广义相加模型来模拟用100μm茉莉酸甲酯处理后葡萄细胞悬浮培养物(佳美品种)中花青素合成的时间依赖性概况。在第5天诱导后,培养20天期间每天进行采样。所有样品通过超高效液相色谱-串联质谱法进行分析,以鉴定和定量15种花青素化合物。模型证实了基于飞燕草素和基于矢车菊素的化合物在花青素生物合成途径中的分离,表明茉莉酸甲酯调节花青素浓度概况。我们的结果清楚地表明,高通量代谢组学与先进的统计建模相结合是研究植物代谢的有力方法。由于低成本高通量“组学”分析的可用性不断增加,这种方法有望越来越受欢迎。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/5204712f9b40/hortres201738-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/25e742904620/hortres201738-f1.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/7f59fbaf38dc/hortres201738-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/b64117787e2b/hortres201738-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/91fbcbb30ca5/hortres201738-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/8fa05d0bf191/hortres201738-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/5204712f9b40/hortres201738-f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/25e742904620/hortres201738-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/5e0de745b96d/hortres201738-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6e3a/5527128/7f59fbaf38dc/hortres201738-f3.jpg
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