Metabolomic and network analysis of astaxanthin-producing Haematococcus pluvialis under various stress conditions
Metabolomic and network analysis of astaxanthin-producing Haematococcus pluvialis under various stress conditions
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DOI：
10.1016/j.biortech.2014.08.018
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发表时间：
2014-10-01
影响因子：
11.4
通讯作者：
Zhang, Weiwen
中科院分区：
文献类型：
--
作者：
Su, Yingxue;Wang, Jiangxin;Zhang, Weiwen
研究了不同的醋酸盐（Ac）、铁离子（Fe2+）和强光（HL）胁迫条件对雨红球菌虾青素积累和生物量产生的影响，并利用GC-MS和LC-MS代谢组学分析了胁迫条件下促进虾青素积累的分子机制。在优化的分析方案下，GC-MS和LC-MS分析分别鉴定出93种稳定代谢物和24种不稳定代谢物。此外，基于GC-MS代谢组学数据集，采用加权相关网络分析（WGCNA）方法构建代谢网络。网络分析发现，2、1和1区分了与HL、Fe2+ & HL、Ac & Fe2+ & HL条件高度相关的代谢模块。最后，LC-MS分析发现AKG、Glu和R5P可能是与Fe2+ & HL相关的代谢物。该研究首次从代谢组学角度研究了雨水杨细胞生长和虾青素积累。(C) 2014 Elsevier Ltd.版权所有。
Various combinations of acetate (Ac), Fe2+ and high light (HL) stress conditions were evaluated to maximize astaxanthin accumulation and biomass production in Haematococcus pluvialis, and then GC-MS and LC-MS based metabolomics were applied to determine molecular mechanisms responsible for enhancing astaxanthin accumulation under the stress conditions. With the optimized analytical protocols, the GC-MS and LC-MS analyses allowed identification of 93 stable and 24 unstable intracellular metabolites from H. pluvialis, respectively. In addition, a metabolic network was constructed based on GC-MS metabolomic datasets using a weighted correlation network analysis (WGCNA) approach. The network analysis uncovered 2, 1 and 1 distinguished metabolic modules highly associated with HL, Fe2+ & HL, and Ac & Fe2+ & HL conditions, respectively. Finally, LC-MS analysis found that AKG, Glu and R5P may be metabolites associated with the Fe2+ & HL condition. The study provided the first metabolomic view of cell growth and astaxanthin accumulation in H. pluvialis. (C) 2014 Elsevier Ltd. All rights reserved.