Evidence map›Paper›PMID 41595497›Full record

ArticleGenes2026

Multiplex Gene Editing and Effect Analysis of Yield, Fragrance, and Blast Resistance Genes in Rice.

Shuhui Guan, Yingchun Han, Jingwen Zhang, Yanxiu Du, Zhen Chen, Chunbo Miao, Junzhou Li

Abstract read
In one paragraph

Article in Genes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
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

7 authors.

Shuhui GuanHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Yingchun HanHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Jingwen ZhangHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Yanxiu DuHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Zhen ChenHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Chunbo MiaoHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.
Junzhou LiHenan Provincial Key Laboratory of Molecular Breeding and Efficient Production of Rice, College of Agronomy, Henan Agricultural University, Zhengzhou 450046, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe coordinated improvement of yield, quality and resistance is a primary goal in rice breeding. Gene editing technology is a novel method for precise multiplex gene improvement.

methodsIn this study, we constructed a multiplex CRISPR/Cas9 vector targeting yield-related genes (

resultsEffectively edited plants were obtained in the T

conclusionsCRISPR/Cas9-mediated multiplex gene editing technology enabled the simultaneous editing of genes related to rice yield, quality, and disease resistance. This provides an effective approach for obtaining new japonica rice germplasm with blast resistance, long grains, and fragrance.

Indexed as

Disease ResistanceGene EditingOryzaPlant DiseasesCRISPR-Cas SystemsGenes, PlantPlant ProteinsPlants, Genetically ModifiedPlant ProteinsCRISPR/Cas9fragranceGn1aGS3Pi21rice

Identifiers

PMID41595497
PMCPMC12840757

What OpenQuestion holds

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Registered trials

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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.