A Codon-Optimized Bacterial Antibiotic Gene Used as Selection Marker for Stable Nuclear Transformation in the Marine Red Alga Pyropia yezoensis

被引:0
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作者
Toshiki Uji
Ryo Hirata
Satoru Fukuda
Hiroyuki Mizuta
Naotsune Saga
机构
[1] Hokkaido University,Faculty of Fisheries Sciences
来源
Marine Biotechnology | 2014年 / 16卷
关键词
Red alga; Selection marker; Stable transformation;
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摘要
Marine macroalgae play an important role in marine coastal ecosystems and are widely used as sea vegetation foodstuffs and for industrial purposes. Therefore, there have been increased demands for useful species and varieties of these macroalgae. However, genetic transformation in macroalgae has not yet been established. We have developed a dominant selection marker for stable nuclear transformation in the red macroalga Pyropia yezoensis. We engineered the coding region of the aminoglycoside phosphotransferase gene aph7″ from Streptomyces hygroscopicus to adapt codon usage of the nuclear genes of P. yezoensis. We designated this codon-optimized aph7″ gene as PyAph7. After bombarding P. yezoensis cells with plasmids containing PyAph7 under the control of their endogenous promoter, 1.9 thalli (or individuals) of hygromycin-resistant strains were isolated from a 10-mm square piece of the bombarded thallus. These transformants were stably maintained throughout the asexual life cycle. Stable expression of PyAph7was verified using Southern blot analysis and genomic PCR and RT-PCR analyses. PyAph7 proved to be a new versatile tool for stable nuclear transformation in P. yezoensis.
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页码:251 / 255
页数:4
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    [J]. MARINE BIOTECHNOLOGY, 2014, 16 (03) : 251 - 255
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