Evidence map›Paper›PMID 40413357›Full record

ReviewFunctional & integrative genomics2025

Precise genome editing process and its applications in plants driven by AI.

Bo Jiang, Zeyu An, Linlin Niu, Debin Qin

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Harnessing artificial intelligence in plant breeding: innovations in digital phenotyping and breeding methodologies.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bo JiangState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Zeyu AnUniversity of Science and Technology Beijing, Beijing, 100083, China.
Linlin NiuState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China.
Debin QinState Key Laboratory of Tree Genetics and Breeding, College of Biological Sciences and Technology, Beijing Forestry University, Beijing, 100083, China. debinqin@bjfu.edu.cn.

Funding

Fundamental Research Funds for the Central Universities BLX202316
6 · The paper itself

Abstract

Genome editing technologies have emerged as the keystone of biotechnological research, enabling precise gene modification. The field has evolved rapidly through revolutionary advancements, transitioning from early explorations to the breakthrough of the CRISPR-Cas system. The emergence of the CRISPR-Cas system represents a huge leap in genome editing, prompting the development of advanced tools such as base and prime editors, thereby enhancing precise genomic engineering capabilities. The rapid integration of AI across disciplines is now driving another transformative phase in genome editing, streamlining workflows and enhancing precision. The application prospects of genome editing technology are extensive, particularly in plant breeding, where it has already presented unparalleled opportunities for improving plant traits. Here, we review early genome editing technologies, including meganucleases, ZFNs, TALENs, and CRISPR-Cas systems. We also provide a detailed introduction to next-generation editing tools-such as base editors and prime editors-and their latest applications in plants. At the same time, we summarize and prospect the cutting-edge developments and future trends of genome editing technologies in combination with the rapidly rising AI technology, including optimizing editing systems, predicting the efficiency of editing sites and designing editing strategies. We are convinced that as these technologies progress and their utilization expands, they will provide pioneering solutions to global challenges, ushering in an era of health, prosperity, and sustainability.

Indexed as

Artificial IntelligenceCRISPR-Cas SystemsGene EditingGenome, PlantPlantsPlant BreedingArtificial intelligenceBase editorsCRISPR-CasPrecise genome editingPrime editors

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.