Title |
New approach for fish breeding by chemical mutagenesis: establishment of TILLING method in fugu (Takifugu rubripes) with ENU mutagenesis
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Published in |
BMC Genomics, November 2013
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DOI | 10.1186/1471-2164-14-786 |
Pubmed ID | |
Authors |
Miwa Kuroyanagi, Takashi Katayama, Tadashi Imai, Yoshihisa Yamamoto, Shin-ichi Chisada, Yasutoshi Yoshiura, Tomokazu Ushijima, Tomonao Matsushita, Masashi Fujita, Aoi Nozawa, Yuzuru Suzuki, Kiyoshi Kikuchi, Hiroyuki Okamoto |
Abstract |
In fish breeding, it is essential to discover and generate fish exhibiting an effective phenotype for the aquaculture industry, but screening for natural mutants by only depending on natural spontaneous mutations is limited. Presently, reverse genetics has become an important tool to generate mutants, which exhibit the phenotype caused by inactivation of a gene. TILLING (Targeting Induced Local Lesions IN Genomes) is a reverse genetics strategy that combines random chemical mutagenesis with high-throughput discovery technologies for screening the induced mutations in target genes. Although the chemical mutagenesis has been used widely in a variety of model species and also genetic breeding of microorganisms and crops, the application of the mutagenesis in fish breeding has been only rarely reported. |
X Demographics
Geographical breakdown
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Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 1 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Japan | 1 | 3% |
Unknown | 39 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Ph. D. Student | 10 | 25% |
Student > Bachelor | 5 | 13% |
Researcher | 5 | 13% |
Student > Master | 5 | 13% |
Other | 3 | 8% |
Other | 4 | 10% |
Unknown | 8 | 20% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 16 | 40% |
Biochemistry, Genetics and Molecular Biology | 6 | 15% |
Medicine and Dentistry | 3 | 8% |
Unspecified | 2 | 5% |
Environmental Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 9 | 23% |