The acyl-CoA oxidase gene family in Arabidopsis thaliana: establishing gene function through reverse genetics

2000 ◽  
Vol 28 (1) ◽  
pp. A8-A8
Author(s):  
P.J. Eastmond ◽  
M.A. Hooks ◽  
I.A. Graham
Planta ◽  
2005 ◽  
Vol 222 (5) ◽  
pp. 926-932 ◽  
Author(s):  
Irina I. Panchuk ◽  
Ulrike Zentgraf ◽  
Roman A. Volkov

2020 ◽  
Vol 10 (6) ◽  
pp. 2033-2042 ◽  
Author(s):  
Renyu Li ◽  
Charles Vavrik ◽  
Cristian H. Danna

CRISPR/Cas9 has become the preferred gene-editing technology to obtain loss-of-function mutants in plants, and hence a valuable tool to study gene function. This is mainly due to the easy reprogramming of Cas9 specificity using customizable small non-coding RNAs, and to the possibility of editing several independent genes simultaneously. Despite these advances, the identification of CRISPR-edited plants remains time and resource-intensive. Here, based on the premise that one editing event in one locus is a good predictor of editing event/s in other locus/loci, we developed a CRISPR co-editing selection strategy that greatly facilitates the identification of CRISPR-mutagenized Arabidopsis thaliana plants. This strategy is based on targeting the gene/s of interest simultaneously with a proxy of CRISPR-Cas9-directed mutagenesis. The proxy is an endogenous gene whose loss-of-function produces an easy-to-detect visible phenotype that is unrelated to the expected phenotype of the gene/s under study. We tested this strategy via assessing the frequency of co-editing of three functionally unrelated proxy genes. We found that each proxy predicted the occurrence of mutations in each surrogate gene with efficiencies ranging from 68 to 100%. The selection strategy laid out here provides a framework to facilitate the identification of multiplex edited plants, thus aiding in the study of gene function when functional redundancy hinders the effort to define gene-function-phenotype links.


Plant Gene ◽  
2019 ◽  
Vol 19 ◽  
pp. 100189 ◽  
Author(s):  
Parviz Heidari ◽  
Mostafa Ahmadizadeh ◽  
Fatemeh Izanlo ◽  
Thomas Nussbaumer

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