Impact of nitrogen limitation on biomass, photosynthesis, and lipid accumulation in Chlorella sorokiniana

2015 ◽  
Vol 28 (2) ◽  
pp. 803-812 ◽  
Author(s):  
Sangeeta Negi ◽  
Amanda N. Barry ◽  
Natalia Friedland ◽  
Nilusha Sudasinghe ◽  
Sowmya Subramanian ◽  
...  
2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Zhenhua Yang ◽  
Yue Zhao ◽  
Zhiyong Liu ◽  
Chenfeng Liu ◽  
Zhipeng Hu ◽  
...  

Microalgae are considered to be a potential major biomass feedstock for biofuel due to their high lipid content. However, no correlation equations as a function of initial nitrogen concentration for lipid accumulation have been developed for simplicity to predict lipid production and optimize the lipid production process. In this study, a lipid accumulation model was developed with simple parameters based on the assumption protein synthesis shift to lipid synthesis by a linear function of nitrogen quota. The model predictions fitted well for the growth, lipid content, and nitrogen consumption of Coelastrum sp. HA-1 under various initial nitrogen concentrations. Then the model was applied successfully in Chlorella sorokiniana to predict the lipid content with different light intensities. The quantitative relationship between initial nitrogen concentrations and the final lipid content with sensitivity analysis of the model were also discussed. Based on the model results, the conversion efficiency from protein synthesis to lipid synthesis is higher and higher in microalgae metabolism process as nitrogen decreases; however, the carbohydrate composition content remains basically unchanged neither in HA-1 nor in C. sorokiniana.


1985 ◽  
Vol 31 (7) ◽  
pp. 620-624 ◽  
Author(s):  
M. Elisabetta Guerzoni ◽  
Paolo Lambertini ◽  
Agostino Cavazza ◽  
Rosa Marchetti

Different cell lipid accumulation and composition patterns were observed in the yeasts Lipomyces starkeyi and Candida steatolytica by varying the nutritive conditions. In Lipomyces starkeyi 303 which accumulates high levels of lipids as triglycerides, the composition of the different lipid fractions was relatively unaffected by the culture medium. In contrast, the lipid composition of Candida steatolytica 20C was strongly affected by the composition of the medium under conditions of nitrogen limitation and when starch was used as the carbon source, high levels of straight and branched hydrocarbons were observed. [Traduction de l'auteur]


2019 ◽  
Vol 6 ◽  
Author(s):  
Xinxin Wang ◽  
Hilde Karoline Fosse ◽  
Keshuai Li ◽  
Matilde Skogen Chauton ◽  
Olav Vadstein ◽  
...  

2019 ◽  
Vol 12 (1) ◽  
Author(s):  
Seung Hwan Oh ◽  
Yong Keun Chang ◽  
Jay Hyung Lee

Abstract Background 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. Results After a photoautotrophic cultivation of Chlorella sorokiniana 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 a 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 K-means algorithm indicated that the algae which are 0.15 pg cell−1 or less in chlorophyll concentration, regardless of other conditions, had achieved high induction results. Conclusion 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.


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