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Development of a Defined Medium for Arachidonic Acid Production by Mortierella alpina Using a Visualization Method

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Abstract

Defined medium for arachidonic acid (ARA) production by Mortierella alpina was optimized for its metabolomics study. For this purpose, a visualization method (VM) was applied for the first time. Experiments were designed according to the uniform design with four factors (concentrations of glucose, NaNO3, KH2PO4 and MgSO4·7H2O) for each at nine levels. Dry cell weight (DCW), ARA yield in DCW [percent (w/w)] and ARA content in total fatty acids [percent (w/w)] were considered as the three objectives. Optimization of single-objective function and multi-objective function of two objectives and three objectives was attempted. Optimal DCW, ARA yield and ARA content were predicted to occur in a medium that contained (grams per litre): glucose 35, NaNO3 1, KH2PO4 7.5 and MgSO4·7H2O 2.6. Upon verification, the average tested DCW (12.95 g/l), ARA yield (18.89 %) and ARA content (42.36 %) were fairly close to the predicted values (12.88 g/l, 9.68 % and 35.57 %, respectively). Moreover, DCW, ARA yield and ARA content from the optimum medium increased by 35.68, 47.23 and 30.90 % compared with control, respectively, indicating that VM had succeeded in exploiting the biomass growth and ARA production by M. alpina.

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Acknowledgments

This work was financially supported by the National Basic Research Program of China (no. 2013CB733605 and no. 2011CBA0082), the National Natural Science Foundation of China (no. 21176124), the National Key Technology Support Program of China (no. 2011BAD23B03) and the Priority Academic Program Development of Jiangsu Higher Education Institutions. H. Huang was supported by the Fok Ying Tung Education Foundation (no. 123014) and the Program for New Century Excellent Talents in University from the Ministry of Education of China (no. NCET–09–0157).

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Authors and Affiliations

  1. State Key Laboratory of Materials-Oriented Chemical Engineering, College of Biotechnology and Pharmaceutical Engineering, Nanjing University of Technology, No. 5 Xinmofan Road, 210009, Nanjing, People’s Republic of China

    Xin Liu, Xiaojun Ji, Ninghua Fu, Zhongtao Deng & He Huang

  2. College of Science, Nanjing University of Technology, No. 5 Xinmofan Road, 210009, Nanjing, People’s Republic of China

    Hongman Zhang

  3. School of Chemical Engineering, Wuhan University of Technology, 430070, Wuhan, People’s Republic of China

    Liexiang Yan

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  1. Xin Liu
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  2. Xiaojun Ji
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  3. Hongman Zhang
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  4. Ninghua Fu
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  5. Liexiang Yan
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  6. Zhongtao Deng
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  7. He Huang
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Correspondence to He Huang.

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Fig. S1

Principles of visualization method (DOC 320 kb)

Fig. S2

Dimension reduction and mapping of single objective with 100 times of training and 0.011929 of error. Green circle points represent real values (DOC 184 kb)

Fig. S3

Time courses of concentration of glucose, DCW, ARA yield and ARA content in the optimal medium (DOC 220 kb)

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Liu, X., Ji, X., Zhang, H. et al. Development of a Defined Medium for Arachidonic Acid Production by Mortierella alpina Using a Visualization Method. Appl Biochem Biotechnol 168, 1516–1527 (2012). https://doi.org/10.1007/s12010-012-9874-6

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  • DOI: https://doi.org/10.1007/s12010-012-9874-6

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