Title |
Peptide-mediated microalgae harvesting method for efficient biofuel production
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Published in |
Biotechnology for Biofuels and Bioproducts, January 2016
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DOI | 10.1186/s13068-015-0406-9 |
Pubmed ID | |
Authors |
Yoshiaki Maeda, Takuma Tateishi, Yuta Niwa, Masaki Muto, Tomoko Yoshino, David Kisailus, Tsuyoshi Tanaka |
Abstract |
Production of biofuels from microalgae has been recognized to be a promising route for a sustainable energy supply. However, the microalgae harvesting process is a bottleneck for industrialization because it is energy intensive. Thus, by displaying interactive protein factors on the cell wall, oleaginous microalgae can acquire the auto- and controllable-flocculation function, yielding smarter and energy-efficient harvesting. Towards this goal, we established a cell-surface display system using the oleaginous diatom Fistulifera solaris JPCC DA0580. Putative cell wall proteins, termed frustulins, were identified from the genome information using a homology search. A selected frustulin was subsequently fused with green fluorescent protein (GFP) and a diatom cell-surface display was successfully demonstrated. The antibody-binding assay further confirmed that the displayed GFP could interact with the antibody at the outermost surface of the cells. Moreover, a cell harvesting experiment was carried out using silica-affinity peptide-displaying diatom cells and silica particles where engineered cells attached to the silica particles resulting in immediate sedimentation. This is the first report to demonstrate the engineered peptide-mediated harvesting of oleaginous microalgae using a cell-surface display system. Flocculation efficiency based on the silica-affinity peptide-mediated cell harvesting method demonstrated a comparable performance to other flocculation strategies which use either harsh pH conditions or expensive chemical/biological flocculation agents. We propose that our peptide-mediated cell harvest method will be useful for the efficient biofuel production in the future. |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 49 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 20% |
Researcher | 7 | 14% |
Student > Master | 7 | 14% |
Student > Bachelor | 6 | 12% |
Student > Doctoral Student | 2 | 4% |
Other | 4 | 8% |
Unknown | 13 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 24% |
Biochemistry, Genetics and Molecular Biology | 6 | 12% |
Environmental Science | 4 | 8% |
Engineering | 4 | 8% |
Chemistry | 4 | 8% |
Other | 4 | 8% |
Unknown | 15 | 31% |