The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Both CRISPR/Cas‐based nucleases and nickases can be used efficiently for genome engineering in Arabidopsis thaliana
Abstract
Summary: Engineered nucleases can be used to induce site‐specific double‐strand breaks (DSB s) in plant genomes. Thus, homologous recombination (HR) can be enhanced and targeted mutagenesis can be achieved by error‐prone non‐homologous end‐joining (NHEJ). Recently, the bacterial CRISPR/C as9 system was used for DSB induction in plants to promote HR and NHEJ. Cas9 can also be engineered to work as a nickase inducing single‐strand breaks (SSB s). Here we show that only the nuclease but not the nickase is an efficient tool for NHEJ‐mediated mutagenesis in plants. We demonstrate the stable inheritance of nuclease‐induced targeted mutagenesis events in the ADH 1 and TT 4 genes of A rabidopsis thaliana at frequencies from 2.5 up to 70.0%. Deep sequencing analysis revealed NHEJ‐mediated DSB repair in about a third of all reads in T1 plants. In contrast, applying the nickase resulted in the reduction of mutation frequency by at least 740‐fold. Nevertheless, the nickase is able to induce HR at similar efficiencies as the nuclease or the homing endonuclease I–Sce I. Two different types of somatic HR mechanisms, recombination between tandemly arranged direct repeats as well as gene conversion using the information on an inverted repeat could be enhanced by the nickase to a similar extent as by DSB‐inducing enzymes. Thus, the C as9 nickase has the potential to become an important tool for genome engineering in plants. It should not only be applicable for HR‐mediated gene targeting systems but also by the combined action of two nickases as DSB‐inducing agents excluding off‐target effects in homologous genomic regions.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A Programmable Dual-RNA–Guided DNA Endonuclease in Adaptive Bacterial Immunity
Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012) · Science · doi:10.1126/science.1225829 · Cited by 17,116
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
RNA-Guided Human Genome Engineering via Cas9
Mali, P., Yang, L., Esvelt, K. M., Aach, J., Guell, M., DiCarlo, J. E., Norville, J. E., & Church, G. M. (2013) · Science · doi:10.1126/science.1232033 · Cited by 9,210
Integrative Genomics Viewer (IGV): high-performance genomics data visualization and exploration
Thorvaldsdottir, H., Robinson, J. T., & Mesirov, J. P. (2013) · Briefings in Bioinformatics · doi:10.1093/bib/bbs017 · Cited by 9,049
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
RNA-guided editing of bacterial genomes using CRISPR-Cas systems
Jiang, W., Bikard, D., Cox, D., Zhang, F., & Marraffini, L. A. (2013) · Nature Biotechnology · doi:10.1038/nbt.2508 · Cited by 2,429
RNA-guided genetic silencing systems in bacteria and archaea
Wiedenheft, B., Sternberg, S. H., & Doudna, J. A. (2012) · Nature · doi:10.1038/nature10886 · Cited by 1,851
Mali, P., Aach, J., Stranges, P. B., Esvelt, K. M., Moosburner, M., Kosuri, S., Yang, L., & Church, G. M. (2013) · Nature Biotechnology · doi:10.1038/nbt.2675 · Cited by 1,752
Niu, Y., Shen, B., Cui, Y., Chen, Y., Wang, J., Wang, L., Kang, Y., Zhao, X., Si, W., Li, W., et al. (2014) · Cell · doi:10.1016/j.cell.2014.01.027 · Cited by 1,033
Heritable genome editing in C. elegans via a CRISPR-Cas9 system
Friedland, A. E., Tzur, Y. B., Esvelt, K. M., Colaiácovo, M. P., Church, G. M., & Calarco, J. A. (2013) · Nature Methods · doi:10.1038/nmeth.2532 · Cited by 899
Cited by
Ma, X., Zhang, Q., Zhu, Q., Liu, W., Chen, Y., Qiu, R., Wang, B., Yang, Z., Li, H., Lin, Y., et al. (2015) · Molecular Plant · doi:10.1016/j.molp.2015.04.007 · Cited by 2,369
A CRISPR/Cas9 toolkit for multiplex genome editing in plants
Xing, H.-L., Dong, L., Wang, Z.-P., Zhang, H.-Y., Han, C.-Y., Liu, B., Wang, X.-C., & Chen, Q.-J. (2014) · BMC Plant Biology · doi:10.1186/s12870-014-0327-y · Cited by 1,684
Targeted base editing in rice and tomato using a CRISPR-Cas9 cytidine deaminase fusion
Shimatani, Z., Kashojiya, S., Takayama, M., Terada, R., Arazoe, T., Ishii, H., Teramura, H., Yamamoto, T., Komatsu, H., Miura, K., et al. (2017) · Nature Biotechnology · doi:10.1038/nbt.3833 · Cited by 812
Svitashev, S., Young, J. K., Schwartz, C., Gao, H., Falco, S. C., & Cigan, A. M. (2015) · Plant Physiology · doi:10.1104/pp.15.00793 · Cited by 733
A CRISPR/Cas9 Toolbox for Multiplexed Plant Genome Editing and Transcriptional Regulation
Lowder, L. G., Zhang, D., Baltes, N. J., Paul, J. W., Tang, X., Zheng, X., Voytas, D. F., Hsieh, T.-F., Zhang, Y., & Qi, Y. (2015) · Plant Physiology · doi:10.1104/pp.15.00636 · Cited by 707
Metadata
- Authors
- Fauser, F., Schiml, S., & Puchta, H.
- Venue
- The Plant Journal
- Publisher
- Wiley
- Published
- 2014-06-17
- Volume
- 79
- Issue
- 2
- Pages
- 348-359
- ISSN
- 0960-7412 (ISSN-L)
- 1365-313X
- OpenAlex
- W2017746652
- Cited by
- 713
- References
- 11
- FWCI
- 22.02
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.