期刊
ALGAL RESEARCH-BIOMASS BIOFUELS AND BIOPRODUCTS
卷 17, 期 -, 页码 196-201出版社
ELSEVIER
DOI: 10.1016/j.algal.2016.05.002
关键词
Genetic engineering; Electroporation; Chlorella pyrenoidosa; Nuclear transformation; eGFP
资金
- National Natural Science Foundation of China [31300295, 21306222]
- National Special Fund for State Key Laboratory of Bioreactor Engineering [2060204]
- National Basic Research Program of China [2011CB200904]
- Fundamental Research Funds for the Central Universities [WF1314033]
- Open Funding Project of the State Key Laboratory of Bioreactor Engineering [2060204]
- Shanghai Education Development Foundation
- Shanghai Municipal Education Commission [14CG27]
Chlorella pyrenoidosa is an extensively investigated species. This species has been used as a commercial microalgal feedstock of proteins, lipids, and chlorophyll for nourishment and aquaculture. As such, reliable and easy genetic modification procedures should be developed to improve this industrial microalga. In this study, a pGreen 0029 vector containing an eGFP gene under the control of a Ubiquitin promoter and NptII, which is a selective marker gene, was constructed to explore and optimize the electroporation method of C. pyrenoidosa. The optimal transformation efficiency was approximately 101 +/- 7 transformants per mu g plasmid and was obtained under the following conditions: 5 x 106/plate cell density in logarithmic phase; 30 mu g/mL plasmid; 660 V pulse voltage; 3.5 ms pulse width; and 30 mu g/mL G418. The NptII and eGFP genes were identified successfully at the DNA level after transformants were screened and purified. High-intensity green fluorescence was observed in the transformants by using fluorescence and laser confocal microscope. Results showed that foreign genes in the transformants were integrated stably and could be expressed. Hence, the efficient transformation system of C. pyrenoidosa can be used to biotechnologically improve this important industrial microalgal species and to facilitate systematic functional genomic studies. (C) 2016 Elsevier B.V. All rights reserved.
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