Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai, 400076, India.
Synthetic Biology Research and Development Group, Reliance Technology Group R&D Center, Reliance Industries Limited, Reliance Corporate Park, Ghansoli, Navi Mumbai, Maharashtra, 400701, India.
Metabolomics. 2024 Sep 21;20(5):107. doi: 10.1007/s11306-024-02170-7.
This study focuses on metabolic profiling of a robust marine green algal strain Picochlorum sp. MCC39 that exhibits resilient growth under diverse outdoor open pond conditions. Given its potential for producing high-value chemicals through metabolic engineering, understanding its metabolic dynamics is crucial for pathway modification.
This study primarily aimed to investigate the metabolic response of Picochlorum sp. to environmental changes. Unlike heterotrophs, algae are subject to diurnal light and temperature, which affect their growth rates and metabolism. Using an environmental photobioreactor (ePBR), we explored how the algal strain adapts to fluctuations in light intensities and temperature within a simulated pond environment.
We performed a reverse phase ion pairing-LC/MS-MS based metabolome profiling of the MCC39 strain cultivated in simulated pond conditions in ePBR. The experimental setup included diurnal and bi-seasonal variations in light intensities and temperature.
The metabolome profile revealed significant differences in 85 metabolites, including amino acids, carboxylic acids, sugar phosphates, purines, pyrimidines, and dipeptides, which exhibited up to 25-fold change in relative concentration with diurnal variations. Seasonal variations also influenced the production of storage molecules, revealing a discernible pattern. The accumulation pattern of metabolites involved in cellular wall formation and energy generation indicated a well-coordinated initiation of photosynthesis and the Calvin cycle with the onset of light.
The results contribute to a deeper understanding of the adaptability and metabolic response of Picochlorum sp., laying the groundwork for future advancements in algal strain modification.
本研究聚焦于具有弹性生长能力的海洋绿藻菌株 Picochlorum sp. MCC39 的代谢轮廓分析，该菌株能够在各种户外开放式池塘条件下生长。鉴于其通过代谢工程生产高价值化学品的潜力，了解其代谢动态对于途径修饰至关重要。
本研究主要旨在研究 Picochlorum sp. 对环境变化的代谢响应。与异养生物不同，藻类受到昼夜光和温度的影响，这会影响它们的生长速度和代谢。使用环境光生物反应器（ePBR），我们探索了藻类菌株如何适应模拟池塘环境中光强度和温度的波动。
我们对在 ePBR 中模拟池塘条件下培养的 MCC39 菌株进行了基于反相离子对-LC/MS-MS 的代谢组学 profiling 分析。实验设置包括光强度和温度的昼夜和双季节变化。
代谢组谱揭示了 85 种代谢物的显著差异，包括氨基酸、羧酸、糖磷酸、嘌呤、嘧啶和二肽，它们的相对浓度变化高达 25 倍，具有昼夜变化。季节变化也影响了储存分子的产生，呈现出明显的模式。参与细胞壁形成和能量生成的代谢物的积累模式表明光合作用和卡尔文循环的启动与光的开始之间存在良好的协调。
这些结果有助于更深入地了解 Picochlorum sp. 的适应性和代谢响应，为未来藻类菌株修饰的进展奠定了基础。
