Skip to main content
Log in

Activation tagging, an efficient tool for functional analysis of the rice genome

  • Published:
Plant Molecular Biology Aims and scope Submit manuscript

Abstract

Over the past 6 years, we have generated about 50,000 individual transgenic rice plants by an Agrobacterium-mediated transformation approach with the pER38 activation tagging vector. The vector contains tandemly arranged double 35S enhancers next to the right border of T-DNA. Expression analysis by reverse transcription-PCR indicates that the activation efficiency is high if the genes are located within 7 kb of the inserted double 35S enhancers. Comparative field phenotyping of part of the activation tagging and enhancer trapping populations in two generations (6,000 and 6,400 lines, respectively, in the T0 generation, and 36,000 and 32,000 lines, respectively, in the T1 generation) identified about four hundred dominant mutants. Characterization of a dominant mutant with a large leaf angle (M107) suggests that this mutant phenotype is caused by enhanced expression of CYP724B1/D11. The activation tagging pool described in this paper is a valuable alternative tool for functional analysis of the rice genome.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6

Similar content being viewed by others

References

Download references

Acknowledgements

This work was supported in part by the National High-Tech Research and Development Project, China Rice Functional Genomics (project number: 2001AA225051, 2006AA10A101) and an award to excellent researchers of the Chinese Academy of Agricultural Science. Yupeng Guo is a visiting Ph.D. student from Lanzhou University.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Tiegang Lu.

Additional information

Shuyan Wan, Jinxia Wu and Zhiguo Zhang contributed equally to this work.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wan, S., Wu, J., Zhang, Z. et al. Activation tagging, an efficient tool for functional analysis of the rice genome. Plant Mol Biol 69, 69–80 (2009). https://doi.org/10.1007/s11103-008-9406-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11103-008-9406-5

Keywords

Navigation