| Chapter title |
Advancing Agrobacterium-Based Crop Transformation and Genome Modification Technology for Agricultural Biotechnology
|
|---|---|
| Chapter number | 97 |
| Book title |
Agrobacterium Biology
|
| Published in |
Current topics in microbiology and immunology, January 2018
|
| DOI | 10.1007/82_2018_97 |
| Pubmed ID | |
| Book ISBNs |
978-3-03-003256-2, 978-3-03-003257-9
|
| Authors |
Ajith Anand, Todd J. Jones, Anand, Ajith, Jones, Todd J. |
| Abstract |
The last decade has seen significant strides in Agrobacterium-mediated plant transformation technology. This has not only expanded the number of crop species that can be transformed by Agrobacterium, but has also made it possible to routinely transform several recalcitrant crop species including cereals (e.g., maize, sorghum, and wheat). However, the technology is limited by the random nature of DNA insertions, genotype dependency, low frequency of quality events, and variation in gene expression arising from genomic insertion sites. A majority of these deficiencies have now been addressed by improving the frequency of quality events, developing genotype-independent transformation capability in maize, developing an Agrobacterium-based site-specific integration technology for precise gene targeting, and adopting Agrobacterium-delivered CRISPR-Cas genes for gene editing. These improved transformation technologies are discussed in detail in this chapter. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Taiwan | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 2 | 50% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 6 | 18% |
| Researcher | 5 | 15% |
| Student > Ph. D. Student | 5 | 15% |
| Student > Master | 4 | 12% |
| Other | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 10 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 14 | 42% |
| Biochemistry, Genetics and Molecular Biology | 6 | 18% |
| Chemical Engineering | 1 | 3% |
| Environmental Science | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 9 | 27% |