Oh Seung Hwan, Chang Yong Keun, Lee Jay Hyung
1Department of Chemical and Biomolecular Engineering, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 305-701 Republic of Korea.
2Advanced Biomass R&D Center, KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon, 305-701 Republic of Korea.
Biotechnol Biofuels. 2019 Oct 12;12:242. doi: 10.1186/s13068-019-1582-9. eCollection 2019.
Current efforts on the optimization of the two-stage cultivation using stress-induced lipid accumulation have mostly focused only on the lipid induction stage. Although recent studies have shown that stress-induced lipid accumulation is affected by the physiological status of the cells harvested at the preceding cultivation stage, this issue has hardly been examined hitherto. Such a study needs to be carried out in a systematic way in order to induce lipid accumulation in a consistent and predictable manner with regard for variances seen at the cultivation stage.
After a photoautotrophic cultivation of HS1 in a modified BG11, harvested cells were re-suspended in the fresh medium, and then NaCl was added as the sole stress inducer with light illumination to induce additional accumulation of lipid. Effects of culture temperature on the lipid accumulation were analyzed by the Kruskal-Wallis test. From the microscopic observation, we had observed a definite increase in lipid body induced by the stress since the cell entered a stationary phase. A multiple linear regression model was developed so as to identify significant parameters to be included for the estimation of lipid induction. As a result, several key parameters at the end of cultivation, such as cell weight, total lipid content, chlorophyll in a cell, and Fv/Fm, were identified as the important proxy variables for the cell's physiological status, and the modeling accuracy was achieved by 87.6%. In particular, the variables related to Fv/Fm were shown to have the largest influence, accounting for 65.7% of the total variance, and the Fv/Fm had an optimal point of maximum induction at below its average. Clustering analysis using the -means algorithm indicated that the algae which are 0.15 pg cell or less in chlorophyll concentration, regardless of other conditions, had achieved high induction results.
Experimental results showed that it usually achieves high lipid induction after the cells naturally end their division and begin to synthesize lipid. The amount of lipid induction could be estimated by the selected proxy variables, and the estimation method can be adapted according to practical situations such as those with limited measurements.
目前利用胁迫诱导脂质积累优化两阶段培养的努力大多仅集中在脂质诱导阶段。尽管最近的研究表明,胁迫诱导的脂质积累受前一培养阶段收获的细胞生理状态影响,但迄今为止几乎未对该问题进行研究。需要以系统的方式开展此类研究,以便在考虑培养阶段出现的差异的情况下,以一致且可预测的方式诱导脂质积累。
在改良的BG11中对HS1进行光自养培养后,收获的细胞重新悬浮于新鲜培养基中,然后添加NaCl作为唯一胁迫诱导剂并光照以诱导脂质额外积累。通过Kruskal-Wallis检验分析培养温度对脂质积累的影响。通过显微镜观察,我们发现自细胞进入稳定期后,胁迫诱导的脂质体有明显增加。建立了多元线性回归模型以确定用于脂质诱导估计的重要参数。结果,培养结束时的几个关键参数,如细胞重量、总脂质含量、细胞中的叶绿素以及Fv/Fm,被确定为细胞生理状态的重要替代变量,建模准确率达到87.6%。特别是,与Fv/Fm相关的变量显示出最大影响,占总方差的65.7%,且Fv/Fm在其平均值以下有最大诱导的最佳点。使用K均值算法的聚类分析表明,无论其他条件如何,叶绿素浓度为0.15 pg/细胞或更低的藻类都取得了高诱导结果。
实验结果表明,细胞自然结束分裂并开始合成脂质后通常能实现高脂质诱导。脂质诱导量可通过选定的替代变量进行估计,且该估计方法可根据测量有限等实际情况进行调整。