Title |
Assembly of eukaryotic algal chromosomes in yeast
|
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Published in |
Journal of Biological Engineering, December 2013
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DOI | 10.1186/1754-1611-7-30 |
Pubmed ID | |
Authors |
Bogumil J Karas, Bhuvan Molparia, Jelena Jablanovic, Wolfgang J Hermann, Ying-Chi Lin, Christopher L Dupont, Christian Tagwerker, Isaac T Yonemoto, Vladimir N Noskov, Ray-Yuan Chuang, Andrew E Allen, John I Glass, Clyde A Hutchison, Hamilton O Smith, J Craig Venter, Philip D Weyman |
Abstract |
Synthetic genomic approaches offer unique opportunities to use powerful yeast and Escherichia coli genetic systems to assemble and modify chromosome-sized molecules before returning the modified DNA to the target host. For example, the entire 1 Mb Mycoplasma mycoides chromosome can be stably maintained and manipulated in yeast before being transplanted back into recipient cells. We have previously demonstrated that cloning in yeast of large (> ~ 150 kb), high G + C (55%) prokaryotic DNA fragments was improved by addition of yeast replication origins every ~100 kb. Conversely, low G + C DNA is stable (up to at least 1.8 Mb) without adding supplemental yeast origins. It has not been previously tested whether addition of yeast replication origins similarly improves the yeast-based cloning of large (>150 kb) eukaryotic DNA with moderate G + C content. The model diatom Phaeodactylum tricornutum has an average G + C content of 48% and a 27.4 Mb genome sequence that has been assembled into chromosome-sized scaffolds making it an ideal test case for assembly and maintenance of eukaryotic chromosomes in yeast. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Canada | 1 | 17% |
United Kingdom | 1 | 17% |
Peru | 1 | 17% |
Unknown | 3 | 50% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 67% |
Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Scientists | 1 | 17% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 3 | 3% |
Canada | 3 | 3% |
France | 1 | <1% |
Denmark | 1 | <1% |
Unknown | 99 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 23 | 21% |
Student > Ph. D. Student | 16 | 15% |
Student > Bachelor | 15 | 14% |
Student > Master | 10 | 9% |
Student > Postgraduate | 7 | 7% |
Other | 17 | 16% |
Unknown | 19 | 18% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 50 | 47% |
Biochemistry, Genetics and Molecular Biology | 26 | 24% |
Computer Science | 3 | 3% |
Immunology and Microbiology | 2 | 2% |
Medicine and Dentistry | 2 | 2% |
Other | 1 | <1% |
Unknown | 23 | 21% |