Please use this identifier to cite or link to this item: https://repository.seku.ac.ke/handle/123456789/7232
Title: Targeted mutagenesis of the CYP79D1 gene via CRISPR/Cas9-mediated genome editing results in lower levels of cyanide in cassava
Authors: Juma, Bicko S.
Mukami, Asunta
Mweu, Cecilia
Ngugi, Mathew P.
Mbinda, Wilton
Keywords: cassava
CRISPR/Cas9
cyanide
MeCYP79D1
targeted mutagenesis
Issue Date: Oct-2022
Publisher: Frontiers Media
Citation: Frontiers in Plant Science, Volume 13
Abstract: Cassava is the world’s most essential food root crop, generating calories to millions of Sub-Saharan African subsistence farmers. Cassava leaves and roots contain toxic quantities of the cyanogenic glycoside linamarin. Consumption of residual cyanogens results in cyanide poisoning due to conversion of the cyanogens to cyanide in the body. There is a need for acyanogenic cassava cultivars in order for it to become a consistently safe and acceptable food, and commercial crop. In recent years, the CRISPR/Cas system, has proven to be the most effective and successful genome editing tool for gene function studies and crop improvement. In this study, we performed targeted mutagenesis of the MeCYP79D1 gene in exon 3, using CRISPR/Cas9, via Agrobacteriummediated transformation. The vector design resulted in knockout in cotyledon-stage somatic embryos regenerated under hygromycin selection. Eight plants were recovered and genotyped. DNA sequencing analysis revealed that the tested putative transgenic plants carried mutations within the MeCYP79D1 locus, with deletions and substitutions being reported upstream and downstream of the PAM sequence, respectively. The levels of linamarin and evolved cyanide present in the leaves of mecyp79d1 lines were reduced up to seven-fold. Nevertheless, the cassava linamarin and cyanide were not completely eliminated by the MeCYP79D1 knockout. Our results indicate that CRISPR/Cas9-mediated mutagenesi s is as an alternative approach for development of cassava plants with lowered cyanide content.
Description: DOI: 10.3389/fpls.2022.1009860
URI: https://www.frontiersin.org/articles/10.3389/fpls.2022.1009860/full
http://repository.seku.ac.ke/handle/123456789/7232
ISSN: 1664-462X
Appears in Collections:School of Science and Computing (JA)



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