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Agrobacterium-Mediated Plant Transformation: Biology and Applications
Open accessAbstract
Plant genetic transformation heavily relies on the bacterial pathogen Agrobacterium tumefaciens as a powerful tool to deliver genes of interest into a host plant. Inside the plant nucleus, the transferred DNA is capable of integrating into the plant genome for inheritance to the next generation (i.e. stable transformation). Alternatively, the foreign DNA can transiently remain in the nucleus without integrating into the genome but still be transcribed to produce desirable gene products (i.e. transient transformation). From the discovery of A. tumefaciens to its wide application in plant biotechnology, numerous aspects of the interaction between A. tumefaciens and plants have been elucidated. This article aims to provide a comprehensive review of the biology and the applications of Agrobacterium-mediated plant transformation, which may be useful for both microbiologists and plant biologists who desire a better understanding of plant transformation, protein expression in plants, and plant-microbe interaction.
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Cites
Floral dip: a simplified method forAgrobacterium‐mediated transformation ofArabidopsis thaliana
Clough, S. J., & Bent, A. F. (1998) · The Plant Journal · doi:10.1046/j.1365-313x.1998.00343.x · Cited by 21,934
Multiplex Genome Engineering Using CRISPR/Cas Systems
Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., Hsu, P. D., Wu, X., Jiang, W., Marraffini, L. A., et al. (2013) · Science · doi:10.1126/science.1231143 · Cited by 15,339
Genome-Wide Insertional Mutagenesis of Arabidopsis thaliana
Alonso, J. M., Stepanova, A. N., Leisse, T. J., Kim, C. J., Chen, H., Shinn, P., Stevenson, D. K., Zimmerman, J., Barajas, P., Cheuk, R., et al. (2003) · Science · doi:10.1126/science.1086391 · Cited by 5,102
Wang, H., Yang, H., Shivalila, C. S., Dawlaty, M. M., Cheng, A. W., Zhang, F., & Jaenisch, R. (2013) · Cell · doi:10.1016/j.cell.2013.04.025 · Cited by 3,495
Efficient genome editing in zebrafish using a CRISPR-Cas system
Hwang, W. Y., Fu, Y., Reyon, D., Maeder, M. L., Tsai, S. Q., Sander, J. D., Peterson, R. T., Yeh, J.-R. J., & Joung, J. K. (2013) · Nature Biotechnology · doi:10.1038/nbt.2501 · Cited by 2,937
The Arabidopsis Information Resource (TAIR): improved gene annotation and new tools
Lamesch, P., Berardini, T. Z., Li, D., Swarbreck, D., Wilks, C., Sasidharan, R., Muller, R., Dreher, K., Alexander, D. L., Garcia-Hernandez, M., et al. (2012) · Nucleic Acids Research · doi:10.1093/nar/gkr1090 · Cited by 2,399
Agrobacterium-mediated transformation of Arabidopsis thaliana using the floral dip method
Zhang, X., Henriques, R., Lin, S.-S., Niu, Q.-W., & Chua, N.-H. (2006) · Nature Protocols · doi:10.1038/nprot.2006.97 · Cited by 2,335
Binary Agrobacterium vectors for plant transformation
Bevan, M. (1984) · Nucleic Acids Research · doi:10.1093/nar/12.22.8711 · Cited by 2,166
Zipfel, C., Kunze, G., Chinchilla, D., Caniard, A., Jones, J. D. G., Boller, T., & Felix, G. (2006) · Cell · doi:10.1016/j.cell.2006.03.037 · Cited by 2,064
Koncz, C., & Schell, J. (1986) · Molecular and General Genetics MGG · doi:10.1007/bf00331014 · Cited by 2,032
Cited by
Structural aspects of DNA repair and recombination in crop improvement
Verma, P., Tandon, R., Yadav, G., & Gaur, V. (2020) · Frontiers in Genetics · doi:10.3389/fgene.2020.574549 · Cited by 29
Santos, M. N. M., Pintor, K. L., Hsieh, P.-Y., Cheung, Y.-W., Sung, L.-K., Shih, Y.-L., & Lai, E.-M. (2024) · Frontiers in Microbiology · doi:10.3389/fmicb.2024.1351590 · Cited by 5
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Metadata
- Authors
- Hwang, H.-H., Yu, M., & Lai, E.-M.
- Venue
- The Arabidopsis Book
- Publisher
- BioOne
- Published
- 2017-01
- Volume
- 15
- Pages
- e0186
- ISSN
- 1543-8120 (ISSN-L)
- OpenAlex
- W2766370739
- Cited by
- 312
- References
- 192
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- diamond
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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