Genetic manipulation, a feasible tool to enhance unique characteristic of Chlorella vulgaris as a feedstock for biodiesel production View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-05-08

AUTHORS

Ahmad Farhad Talebi, Masoud Tohidfar, Meisam Tabatabaei, Abdolreza Bagheri, Motahhareh Mohsenpor, Seyed Kaveh Mohtashami

ABSTRACT

Developing a reliable technique to transform unicellular green algae, Chlorella vulgaris, could boost potentials of using microalgae feedstock in variety of applications such as biodiesel production. Volumetric lipid productivity (VLP) is a suitable variable for evaluating potential of algal species. In the present study, the highest VLP level was recorded for C. vulgaris (79.08 mg l−1 day−1) followed by 3 other strains studied; C. emersonii, C. protothecoides, and C. salina by 54.41, 45 and 18.22 mg l−1day−1, respectively. Having considered the high productivity of C. vulgaris, it was selected for the preliminary transformation experiment through micro-particle bombardment. Plasmid pBI 121, bearing the reporter gene under the control of CaMV 35S promoter and the kanamycin marker gene, was used in cells bombardment. Primary selection was done on a medium supplemented by 50 mg l−1 kanamycin. After several passages, the survived cells were PCR-tested to confirm the stability of transformation and then were found to exhibit β-glucuronidase (GUS) activity in comparison with the control cells. Southern hybridization of npt II probe with genomic DNA revealed stable integration of the cassette in three different positions in the genome. The whole process was successfully implemented as a pre-step to transform the algal cells by genes involved in lipid production pathway which will be carried out in our future studies. More... »

PAGES

4421-4428

Journal

TITLE

Molecular Biology Reports

ISSUE

7

VOLUME

40

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11033-013-2532-4

DOI

http://dx.doi.org/10.1007/s11033-013-2532-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1047625503

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23652998


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