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Journal of Plant Genetics and Breeding
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  • J Plant Genet Breed,
  • DOI: 10.4172/jpgb.1000135

Can Plants Genomes be Edited Using the Current gRNA Ranking Prediction Algorithms?

Fatima Sheikh*
Centre for Tropical Crops and Biocommodities, Science and Engineering Faculty, Queensland University of Technology, Western Australia, Australia
*Corresponding Author : Fatima Sheikh, Centre for Tropical Crops and Biocommodities, Science and Engineering Faculty, Queensland University of Technology, Western Australia, Australia, Email: fatimaS@curtin.edu.au

Received Date: Jan 02, 2023 / Published Date: Jan 31, 2023

Abstract

Conventional breeding often requires decades to introduce a new feature into a crop, but recently developed genome sequence modification technology offers the potential to shorten this time. One of these cutting-edge breeding techniques uses CRISPR/Cas9, an RNA-directed DNA nuclease, to cut the genomic DNA in living organisms, making it easier to delete or insert sequences. Guide RNAs control this targeting based on certain sequences (gRNAs) [1]. But selecting the best gRNA sequence is not without its difficulties. Although many of them allow the use of plant genomes to identify potential off-target regions, almost all of the current gRNA design tools for usage in plants are based on data from animal experimentation. Here, we analyse the performance and predicted consistency of eight various online gRNA-site tools. Unfortunately, neither a statistically meaningful association between rankings and in vivo effectiveness, nor any agreement between the rankings produced by the various
algorithms. This indicates that significant gRNA performance and/or target site accessibility aspects in plants have not yet been clarified and taken into account by gRNA-site prediction algorithms [2].

Citation: Sheikh F (2023) Can Plants Genomes be Edited Using the Current gRNARanking Prediction Algorithms? J Plant Genet Breed 7: 135. Doi: 10.4172/jpgb.1000135

Copyright: © 2023 Sheikh F. This is an open-access article distributed under theterms of the Creative Commons Attribution License, which permits unrestricteduse, distribution, and reproduction in any medium, provided the original author andsource are credited.

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