Title |
Genome edited sheep and cattle
|
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Published in |
Transgenic Research, September 2014
|
DOI | 10.1007/s11248-014-9832-x |
Pubmed ID | |
Authors |
Chris Proudfoot, Daniel F. Carlson, Rachel Huddart, Charles R. Long, Jane H. Pryor, Tim J. King, Simon G. Lillico, Alan J. Mileham, David G. McLaren, C. Bruce A. Whitelaw, Scott C. Fahrenkrug |
Abstract |
Genome editing tools enable efficient and accurate genome manipulation. An enhanced ability to modify the genomes of livestock species could be utilized to improve disease resistance, productivity or breeding capability as well as the generation of new biomedical models. To date, with respect to the direct injection of genome editor mRNA into livestock zygotes, this technology has been limited to the generation of pigs with edited genomes. To capture the far-reaching applications of gene-editing, from disease modelling to agricultural improvement, the technology must be easily applied to a number of species using a variety of approaches. In this study, we demonstrate zygote injection of TALEN mRNA can also produce gene-edited cattle and sheep. In both species we have targeted the myostatin (MSTN) gene. In addition, we report a critical innovation for application of gene-editing to the cattle industry whereby gene-edited calves can be produced with specified genetics by ovum pickup, in vitro fertilization and zygote microinjection (OPU-IVF-ZM). This provides a practical alternative to somatic cell nuclear transfer for gene knockout or introgression of desirable alleles into a target breed/genetic line. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | 43% |
United States | 2 | 29% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 4 | 57% |
Scientists | 3 | 43% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Colombia | 1 | <1% |
Denmark | 1 | <1% |
Uruguay | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 216 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 38 | 17% |
Researcher | 32 | 15% |
Student > Master | 32 | 15% |
Student > Bachelor | 27 | 12% |
Other | 9 | 4% |
Other | 26 | 12% |
Unknown | 56 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 92 | 42% |
Biochemistry, Genetics and Molecular Biology | 40 | 18% |
Veterinary Science and Veterinary Medicine | 13 | 6% |
Engineering | 7 | 3% |
Environmental Science | 4 | 2% |
Other | 12 | 5% |
Unknown | 52 | 24% |