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Biology subjects

Gondo, T.

Publications and source records attributed to Gondo, T..

2 recordsLinked to original sources

Evolution of herbicide resistance through co-option of an ethylene-associated nitrilase

Adaptive evolution frequently proceeds through the co-option of pre-existing biological functions, yet the molecular mechanisms by which such co-option generates new adaptive traits over contemporary evolutionary timescales remain poorly understood. Herbicide-resistant weeds provide a powerful model for addressing this question because enhanced herbicide metabolism has repeatedly evolved within only a few decades. Here, we show that resistance to cyhalofop-butyl in Echinochloa crus-galli evolved through the co-option of EcNIT4A2, which encodes a nitrilase that normally functions in ethylene-associated cyanide detoxification. Genetic mapping, transcriptomics and transgenic analyses identified EcNIT4A2 as the major determinant of resistance. A D317G substitution enhanced its herbicide-detoxifying activity. Molecular dynamics simulations indicated that this substitution facilitates substrate access to the catalytic pocket. A promoter structural variant markedly increased EcNIT4A2 expression. Our findings reveal how coding and regulatory changes can jointly drive the co-option and optimization of a conserved metabolic function during rapid adaptation under intense anthropogenic selection.

plant biology↗

Strategy for detecting off-target sites in genome-edited rice

Genome-editing using the CRISPR-Cas9 system can substantially accelerate crop breeding. Because off-target editing is the main problem with this system, a reliable method for comprehensively detecting off-target sites is required for the editing of food crop genomes. However, a method that accurately predicts off-target sites has not been established. In this study, we performed a SITE-Seq analysis to predict potential off-target sites. SITE-Seq is an unbiased method applicable for the in vitro detection of double-strand breaks (DSBs). To analyze SITE-Seq data, we developed a novel Galaxy system, which can perform simple and reproducible analyses without a command line operation. We conducted a SITE-Seq analysis of a rice genome modified by OsFH15 gRNA-Cas9, and identified 41 DSB sites in the annotated regions. Amplicon-sequencing revealed mutations at one off-target site in the genome-edited rice. The presence of an uncommon protospacer adjacent motif (NTG PAM) likely makes this off-target site difficult to identify using in silico methods. Of the six tested programs, only CRISPRdirect predicted this off-target site, but it also predicted 6,080 off-target sites in total. These results suggest the SITE-Seq method presented herein can efficiently predict off-target sites and is useful for assessing the safety of genome-edited food.

bioinformatics↗