Evidence map›Paper›PMID 41642528›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Genome Editing for Developing Disease-Resistant Plants.

Muhammad Sohaib Shafique, Yapei Liu, Zhiyuan Ji

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Muhammad Sohaib ShafiqueState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Yapei LiuState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China.
Zhiyuan JiState Key Laboratory of Crop Gene Resources and Breeding/National Key Facility for Crop Gene Resources and Genetic Improvement, Institute of Crop Sciences, Chinese Academy of Agricultural Sciences, Beijing, China. jizhiyuan@caas.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome editing tools, most notably the CRISPR-Cas9 system, have transformed modern crop breeding by allowing precise and efficient modification of plant genomes, particularly for enhancing resistance to disease. In this chapter, we present two major CRISPR-based approaches that have been successfully applied to develop disease-resistant crops: (1) gene knockout of host susceptibility (S) genes to block pathogen compatibility, and (2) targeted insertion of resistance alleles or synthetic genes using the homology-directed repair (HDR) pathway. Both strategies utilize the specificity and efficiency of CRISPR-Cas9 to introduce defined edits in crops such as rice. This chapter outlines comprehensive step-by-step protocols covering key elements of the process, including target site selection, construction of sgRNA and Cas9 vectors, plant transformation methods, and mutation validation techniques. Together, these methods provide a powerful platform for engineering plant immune responses and offer practical tools to accelerate the breeding of disease-resistant cultivars.

Indexed as

Disease ResistanceGene EditingGenome, PlantPlant DiseasesCRISPR-Cas SystemsGene Knockout TechniquesOryzaPlant BreedingPlants, Genetically ModifiedRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas SystemsCRISPR-Cas9Disease resistanceGene knockoutGenome editingTargeted knock-in

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.