A simple and efficient system for evaluating plant genome editing efficiency and its application in optimizing the ISAam1 TnpB nuclease

Genome editing technology has revolutionized plant genetic breeding. However, Significant variability in editing activity has been observed across different genome editing systems and target sites, highlighting the importance of developing efficient evaluation systems for assessing genome editing efficiency in plants. In this study, we developed a simple, rapid, and efficient system based on hairy root transformation to evaluate somatic genome editing efficiency in plants. This system is easy to implement, does not require sterile conditions, and enables visual identification of transgenic hairy roots within two weeks. We first validated the system using the CRISPR/Cas9 genome editing platform, confirming its effectiveness. Subsequently, we applied this system to assess the somatic editing activity of the recently identified ISAam1 TnpB nuclease, which show considerable promise for plant genome editing applications. Furthermore, through protein engineering, we identified two variants, ISAam1(N3Y) and ISAam1(T296R), which exhibited a 5.1-fold and 4.4-fold enhancement in somatic editing efficiency, respectively. These findings demonstrate that the developed method provides an effective tool for optimizing genome editing system and screening potential target sites in plant genomes.

Authors

Institutions

Publication Details

Journal
Frontiers in Plant Science
Published
2025-09-01
DOI
https://doi.org/10.3389/fpls.2025.1620874
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A simple and efficient system for evaluating plant genome editing efficiency and its application in optimizing the ISAam1 TnpB nuclease

Yongwei Sun, Shasha Bai, Jun Li, Xingyu Cao
1 citations
Frontiers in Plant Science
CRISPR and Genetic Engineering
0.81
article

A simple and efficient system for evaluating plant genome editing efficiency and its application in optimizing the ISAam1 TnpB nuclease

Yongwei Sun, Shasha Bai, Jun Li, Xingyu Cao
article en
1 citations

Abstract

Genome editing technology has revolutionized plant genetic breeding. However, Significant variability in editing activity has been observed across different genome editing systems and target sites, highlighting the importance of developing efficient evaluation systems for assessing genome editing efficiency in plants. In this study, we developed a simple, rapid, and efficient system based on hairy root transformation to evaluate somatic genome editing efficiency in plants. This system is easy to implement, does not require sterile conditions, and enables visual identification of transgenic hairy roots within two weeks. We first validated the system using the CRISPR/Cas9 genome editing platform, confirming its effectiveness. Subsequently, we applied this system to assess the somatic editing activity of the recently identified ISAam1 TnpB nuclease, which show considerable promise for plant genome editing applications. Furthermore, through protein engineering, we identified two variants, ISAam1(N3Y) and ISAam1(T296R), which exhibited a 5.1-fold and 4.4-fold enhancement in somatic editing efficiency, respectively. These findings demonstrate that the developed method provides an effective tool for optimizing genome editing system and screening potential target sites in plant genomes.

Frontiers in Plant ScienceVol. 16
Inner Mongolia University (CN)
National Natural Science Foundation of China, Natural Science Foundation of Inner Mongolia, Chinese Academy of Agricultural Sciences
Openalex Percentile: Top 24%
CRISPR and Genetic Engineering
0.81
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.