Title |
Advanced genetic tools enable synthetic biology in the oleaginous microalgae Nannochloropsis sp.
|
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Published in |
Plant Cell Reports, March 2018
|
DOI | 10.1007/s00299-018-2270-0 |
Pubmed ID | |
Authors |
Eric Poliner, Eva M. Farré, Christoph Benning |
Abstract |
Nannochloropsis is a genus of fast-growing microalgae that are regularly used for biotechnology applications. Nannochloropsis species have a high triacylglycerol content and their polar lipids are rich in the omega-3 long-chain polyunsaturated fatty acid, eicosapentaenoic acid. Placed in the heterokont lineage, the Nannochloropsis genus has a complex evolutionary history. Genome sequences are available for several species, and a number of transcriptomic datasets have been produced, making this genus a facile model for comparative genomics. There is a growing interest in Nannochloropsis species as models for the study of microalga lipid metabolism and as a chassis for synthetic biology. Recently, techniques for gene stacking, and targeted gene disruption and repression in the Nannochloropsis genus have been developed. These tools enable gene-specific, mechanistic studies and have already allowed the engineering of improved Nannochloropsis strains with superior growth, or greater bioproduction. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 4 | 15% |
United States | 3 | 12% |
Brazil | 2 | 8% |
France | 2 | 8% |
Germany | 1 | 4% |
Italy | 1 | 4% |
Canada | 1 | 4% |
Singapore | 1 | 4% |
Ireland | 1 | 4% |
Other | 0 | 0% |
Unknown | 10 | 38% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 19 | 73% |
Scientists | 6 | 23% |
Unknown | 1 | 4% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 139 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 26 | 19% |
Student > Ph. D. Student | 19 | 14% |
Researcher | 17 | 12% |
Student > Bachelor | 16 | 12% |
Professor > Associate Professor | 6 | 4% |
Other | 17 | 12% |
Unknown | 38 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 51 | 37% |
Agricultural and Biological Sciences | 24 | 17% |
Immunology and Microbiology | 3 | 2% |
Medicine and Dentistry | 3 | 2% |
Engineering | 3 | 2% |
Other | 9 | 6% |
Unknown | 46 | 33% |