Open Access iconOpen Access

ARTICLE

crossmark

In silico Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in StERF3-Gene Edited Potato Plants

Hafiza Arooj Razzaq1, Siddra Ijaz1,*, Imran Ul Haq2, Faisal Saeed Awan1

1 Centre of Agricultural Biochemistry and Biotechnology (CABB), University of Agriculture, Faisalabad, 38040, Pakistan
2 Department of Plant Pathology, University of Agriculture, Faisalabad, 38040, Pakistan

* Corresponding Author: Siddra Ijaz. Email: email

(This article belongs to the Special Issue: Agricultural Intensification, Climate Change, and Food Security)

Phyton-International Journal of Experimental Botany 2023, 92(8), 2451-2460. https://doi.org/10.32604/phyton.2023.030501

Abstract

The imperative aspect of the CRISPR/Cas9 system is a short stretch of 20 nucleotides of gRNA that control the overall specificity. Due to the small size, the chance of its multiple occurrences in the genome increases; however, a few mismatches are tolerated by the Cas9 endonuclease activity. An accurate and careful in silico-based off-target prediction while target selection is preferred to address the issue. These predictions are based on a comprehensive set of selectable parameters. Therefore, we investigated the possible off-target prediction and their screening in StERF3 gene-edited potato plants while developing StERF3-loss-of-function mutants using CRISPR/Cas9 approach. The 201 off-targets for the selected targets of the StERF3 gene were predicted, and 79 were filtered as potential off-targets. Of these 79, twenty-five off-targets showed scores with defined cut-off values <0.5 and were analyzed in Sterf3-edited potato plants compared to wild-type plants. No off-targeting was found to have occurred in edited plants.

Keywords


Supplementary Material

Supplementary Material File

Cite This Article

APA Style
Razzaq, H.A., Ijaz, S., Haq, I.U., Awan, F.S. (2023). <i>in silico</i> prediction and analysis of potential off-targets and off-target mutation detection in <i>sterf3</i>-gene edited potato plants. Phyton-International Journal of Experimental Botany, 92(8), 2451-2460. https://doi.org/10.32604/phyton.2023.030501
Vancouver Style
Razzaq HA, Ijaz S, Haq IU, Awan FS. <i>in silico</i> prediction and analysis of potential off-targets and off-target mutation detection in <i>sterf3</i>-gene edited potato plants. Phyton-Int J Exp Bot. 2023;92(8):2451-2460 https://doi.org/10.32604/phyton.2023.030501
IEEE Style
H.A. Razzaq, S. Ijaz, I.U. Haq, and F.S. Awan "<i>In silico</i> Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in <i>StERF3</i>-Gene Edited Potato Plants," Phyton-Int. J. Exp. Bot., vol. 92, no. 8, pp. 2451-2460. 2023. https://doi.org/10.32604/phyton.2023.030501



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
  • 800

    View

  • 344

    Download

  • 0

    Like

Share Link