@Article{phyton.2023.030501,
AUTHOR = {Hafiza Arooj Razzaq, Siddra Ijaz, Imran Ul Haq, Faisal Saeed Awan},
TITLE = {<i>In silico</i> Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in <i>StERF3</i>-Gene Edited Potato Plants},
JOURNAL = {Phyton-International Journal of Experimental Botany},
VOLUME = {92},
YEAR = {2023},
NUMBER = {8},
PAGES = {2451--2460},
URL = {http://www.techscience.com/phyton/v92n8/53330},
ISSN = {1851-5657},
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 <i>StERF3</i> gene-edited potato plants while developing <i>StERF3</i>-loss-of-function mutants using
CRISPR/Cas9 approach. The 201 off-targets for the selected targets of the <i>StERF3</i> 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.},
DOI = {10.32604/phyton.2023.030501}
}