| Title |
Advancing Crop Transformation in the Era of Genome Editing
|
|---|---|
| Published in |
Plant Cell, June 2016
|
| DOI | 10.1105/tpc.16.00196 |
| Pubmed ID | |
| Authors |
Fredy Altpeter, Nathan M. Springer, Laura E. Bartley, Ann E. Blechl, Thomas P. Brutnell, Vitaly Citovsky, Liza J. Conrad, Stanton B. Gelvin, David P. Jackson, Albert P. Kausch, Peggy G. Lemaux, June I. Medford, Martha L. Orozco-Cárdenas, David M. Tricoli, Joyce Van Eck, Daniel F. Voytas, Virginia Walbot, Kan Wang, Zhanyuan J. Zhang, C. Neal Stewart |
| Abstract |
Plant transformation has enabled fundamental insights into plant biology and revolutionized commercial agriculture. Unfortunately, for most crops, transformation and regeneration remain arduous even after more than thirty years of technological advances. Genome editing provides new opportunities to enhance crop productivity, but relies on genetic transformation and plant regeneration, which are bottlenecks in the process. Herein we review the state of plant transformation and point to innovations needed to enable genome editing in crops. Plant tissue culture methods need optimization and simplification for efficiency and minimize time in culture. Currently, specialized facilities exist for crop transformation. Single cell and robotic techniques should be developed for high throughput genomic screens. Utilization of plant genes involved in developmental reprogramming, wound response, and/or homologous recombination could boost recovery of transformed plants. Engineering universal Agrobacterium strains and recruitment of other microbes, such as Ensifer or Rhizobium, could facilitate delivery of DNA and proteins into plant cells. Synthetic biology should be employed for de novo design of transformation systems. Genome editing is a potential game-changer in crop genetics when plant transformation systems are optimized. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 27% |
| United Kingdom | 5 | 8% |
| Australia | 3 | 5% |
| France | 3 | 5% |
| Mexico | 2 | 3% |
| India | 2 | 3% |
| Canada | 2 | 3% |
| Spain | 1 | 2% |
| Finland | 1 | 2% |
| Other | 9 | 15% |
| Unknown | 17 | 27% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 34 | 55% |
| Scientists | 22 | 35% |
| Science communicators (journalists, bloggers, editors) | 5 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | <1% |
| Germany | 3 | <1% |
| Netherlands | 2 | <1% |
| Oman | 1 | <1% |
| New Zealand | 1 | <1% |
| Mexico | 1 | <1% |
| India | 1 | <1% |
| Indonesia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 989 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 158 | 16% |
| Researcher | 152 | 15% |
| Student > Master | 111 | 11% |
| Student > Bachelor | 90 | 9% |
| Student > Doctoral Student | 39 | 4% |
| Other | 136 | 14% |
| Unknown | 320 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 374 | 37% |
| Biochemistry, Genetics and Molecular Biology | 190 | 19% |
| Engineering | 14 | 1% |
| Chemistry | 10 | <1% |
| Social Sciences | 8 | <1% |
| Other | 63 | 6% |
| Unknown | 347 | 34% |