Evidence map›Paper›PMID 41533202›Full record

ReviewFunctional & integrative genomics2026

Challenges and Opportunities with CRISPR-Based Genome Editing in Legume Crops.

Pawan Kumar, Himanshu Yadav, Badal Mahakalkar, Rushil Mandlik, Sanskriti Vats, Vandana Thakral, Virender Kumar, Saurabh Kumar Nishad, Satish Nichal, Rupesh Deshmukh and 2 more

Abstract readReview
PubMed Publisher
In one paragraph

Review in Functional & integrative genomics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

Pawan Kumar *Department of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Himanshu Yadav *Department of Plant and Soil Sciences, Institute of Genomics for Crop Abiotic Stress Tolerance, Texas Tech University, Lubbock, TX, 79409, USA.
Badal Mahakalkar *Department of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Rushil MandlikDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Sanskriti VatsDepartment of Plant and Environmental Sciences, University of Copenhagen, Thorvaldsensvej 40, Frederiksberg C, 1871, Denmark.
Vandana ThakralDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Virender KumarDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Saurabh Kumar NishadDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Satish NichalRegional Research Centre, Dr. Panjabrao Deshmukh Krishi Vidyapeeth), Morshi Road, Amravati, 444603, India.
Rupesh DeshmukhDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India.
Tilak Raj SharmaNational Institute for Plant Biotechnology, IARI Pusa Campus New Delhi, Delhi, 110012, India.
Humira SonahDepartment of Biotechnology, Central University of Haryana, Mahendergarh, 123029, Haryana, India. biohuma@gmail.com.

Funding

Department of Biotechnology, Ministry of Science and Technology, India BT/PR38279/GET/119/351/2020Haryana State Council for Science and Technology HSCSIT/R&D/2024/511Indian Council of Agricultural Research Agril. Edn / 27/05/NP(VP)-2023-HRD
6 · The paper itself

Abstract

Over the last couple of decades, tremendous progress has been made in legume genomics. Genomics information generated for legume crops is being explored through molecular breeding and transgenic approaches. However, the gap between knowledge generation and its utilization is increasing. In this regard, recent developments in genome editing techniques provide an excellent opportunity to utilize the available knowledge for the improvement of legume crops. This review highlights recent developments with Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated protein 9 (CRISPR/Cas9)-based genome-editing approaches, including Cas variants/orthologs and Protospacer adjacent motif-less (PAMless) Genome Editing, multiplex genome editing, base editing, prime editing, transcriptional regulation, methylome editing, and DNA-free editing methods. Furthermore, the applications of non-homologous end joining (NHEJ) and homology-directed repair (HDR)- based editing, are addressed which enable targeted and precise genomic modifications. Moreover, virus-mediated genome editing, in planta transformation, and mobile guide RNAs are increasingly being leveraged to enhance the efficiency and heritability of genome editing. Additionally, the role of artificial intelligence in guide RNA design, off-target prediction, and the development of novel Cas variants is also discussed, which can speed up the legume improvement. This article highlights the successful examples of efforts utilizing CRISPR/Cas9 for the development of legume crops with biotic and abiotic stress tolerance, desirable plant architecture, improved nutrient uptake, and enhanced yield and quality. The biggest limitation in the genome editing of legume crops is their recalcitrance to both transformation and tissue culture. This article discusses how this particular limitation can be addressed in the context of genome editing of legume crops. Finally, the possibilities of integrating these recently developed tools with translational breeding have also been discussed, which will facilitate the legume production for sustainable agriculture and food security.

Indexed as

CRISPR-Cas SystemsCrops, AgriculturalFabaceaeGene EditingGenome, PlantPlant BreedingPlants, Genetically ModifiedGenome editing approachesMultiplex genome editingPrecision breedingStress toleranceTranslational genomes

Identifiers

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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.