The evolving landscape of precise DNA insertion in plants

Precise DNA insertion into plant genomes is central to advancing crop improvement and synthetic biology. CRISPR-Cas systems have enabled programmable DNA integration using tools such as gene targeting (GT), prime editing (PE), and recombinase- or transposase-based platforms. These tools are transitioned from theoretical concepts to practical applications, supporting applications like in-locus protein tagging, regulatory element engineering, and multi-gene stacking. Key challenges persist, such as inefficient large-fragment insertion, delivery barriers, and regulatory hurdles. This review traces the evolution from random to CRISPR-Cas-based systems, analyzes current limitations, and discusses emerging solutions paving the way for predictable DNA insertion in modern plant biotechnology.

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Publication Details

Journal
Nature Communications
Published
2025-12-02
DOI
https://doi.org/10.1038/s41467-025-66715-7
Citations
1
Primary Topic
CRISPR and Genetic Engineering
Type
article
Field-Weighted Citation Impact
0.81
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article

The evolving landscape of precise DNA insertion in plants

Tien Van Vu, Yeon Woo Sung, Jae‐Yean Kim, Ngan Thi Nguyen et al.
1 citations
Nature Communications
CRISPR and Genetic Engineering
0.81
article

The evolving landscape of precise DNA insertion in plants

Tien Van Vu, Yeon Woo Sung, Jae‐Yean Kim, Ngan Thi Nguyen, Woo Sik Chung, Jihae Kim
article en
1 citations

Abstract

Precise DNA insertion into plant genomes is central to advancing crop improvement and synthetic biology. CRISPR-Cas systems have enabled programmable DNA integration using tools such as gene targeting (GT), prime editing (PE), and recombinase- or transposase-based platforms. These tools are transitioned from theoretical concepts to practical applications, supporting applications like in-locus protein tagging, regulatory element engineering, and multi-gene stacking. Key challenges persist, such as inefficient large-fragment insertion, delivery barriers, and regulatory hurdles. This review traces the evolution from random to CRISPR-Cas-based systems, analyzes current limitations, and discusses emerging solutions paving the way for predictable DNA insertion in modern plant biotechnology.

Nature CommunicationsVol. 16(1)
Gyeongsang National University (KR), JINIS Biopharmaceuticals (South Korea) (KR)
Openalex Percentile: Top 21%
CRISPR and Genetic Engineering
0.81
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