Abstract
With the accelerating advances in Brassicaceae genetics and genomics, transformation technologies are now routinely being exploited to elucidate gene function as well as contributing to the development of novel enhanced crops. Agrobacterium-mediated transformation remains the most broadly used approach for the introduction of transgenes into Brassicaceae. For Arabidopsis thaliana, in planta transformation is now routinely employed using the relatively low-tech approach of floral dipping. The relative ease of producing independent transgenic lines using this approach has been exploited to create T-DNA insertion mutants or knockout lines for most Arabidopsis genes. In Brassica, transformation relies mainly on in vitro transformation methods, and yet despite the significant progress made towards enhancing transformation efficiencies, some genotypes remain recalcitrant to transformation. Advances in our understanding of the genetics behind transformation have enabled researchers to identify more readily transformable genotypes for use in routine high-throughput systems. These developments open up exciting new avenues to exploit model Brassica genotypes as resources for understanding gene function in complex genomes. Although many other Brassicaceae have served as model species for improving plant regeneration and transformation systems, this chapter focuses on the recent technologies employed for both Arabidopsis and Brassica transformation.
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Notes
- 1.
N.B the efficiencies reported in this section are based on either the percentage of explants giving rise to viable transgenic shoots or the percentage of explants giving rise to transgenic rooted plants. All methods successfully generated fertile transgenic plants.
- 2.
This was the case as of 2008 within the EU, but still remains a contentious issue.
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Sparrow, P.A., Goldsack, C.M., Østergaard, L. (2011). Transformation Technology in the Brassicaceae. In: Schmidt, R., Bancroft, I. (eds) Genetics and Genomics of the Brassicaceae. Plant Genetics and Genomics: Crops and Models, vol 9. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-7118-0_18
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