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In planta gene targeting

Open access
Fauser, Friedrich, Roth, Nadine, Pacher, Michael, Ilg, Gabriele, Sánchez-Fernández, Rocío, Biesgen, Christian, Puchta, Holger·2012·Proceedings of the National Academy of Sciences

Abstract

The development of designed site-specific endonucleases boosted the establishment of gene targeting (GT) techniques in a row of different species. However, the methods described in plants require a highly efficient transformation and regeneration procedure and, therefore, can be applied to very few species. Here, we describe a highly efficient GT system that is suitable for all transformable plants regardless of transformation efficiency. Efficient in planta GT was achieved in Arabidopsis thaliana by expression of a site-specific endonuclease that not only cuts within the target but also the chromosomal transgenic donor, leading to an excised targeting vector. Progeny clonal for the targeted allele could be obtained directly by harvesting seeds. Targeted events could be identified up to approximately once per 100 seeds depending on the target donor combination. Molecular analysis demonstrated that, in almost all events, homologous recombination occurred at both ends of the break. No ectopic integration of the GT vector was found.

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Metadata

Authors
Fauser, F., Roth, N., Pacher, M., Ilg, G., Sánchez-Fernández, R., Biesgen, C., & Puchta, H.
Venue
Proceedings of the National Academy of Sciences
Published
2012-04-23
Volume
109
Issue
19
Pages
7535-7540
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2017303675
Cited by
214
References
0
FWCI
6.62
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: In planta gene targeting. https://app.cochat.ai/papers/10.1073/pnas.1202191109
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Fauser, F., Roth, N., Pacher, M., Ilg, G., Sánchez-Fernández, R., Biesgen, C., & Puchta, H. (2012). In planta gene targeting. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1202191109

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.