Evidence map›Paper›PMID 31689989›Full record

ReviewCells2019

Genome Editing in Plants: Exploration of Technological Advancements and Challenges.

Sanskriti Vats, Surbhi Kumawat, Virender Kumar, Gunvant B Patil, Trupti Joshi, Humira Sonah, Tilak Raj Sharma, Rupesh Deshmukh

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 46 papers.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed
7.5field-weighted citation impact, top 2% of its field
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

46 citing papers in PubMed, 175 citations in OpenAlex.

  1. Review
  2. CRISPR/Cas Genome Editing and Its Applications in Cereal Crop Improvement.Plant-environment interactions (Hoboken, N.J.) · 2026
    Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Advances and Applications of Plant Base Editing Technologies.International journal of molecular sciences · 2025
    Review
  9. Article
  10. Review
  11. Review
  12. Review
  13. Article
  14. Review
  15. Review
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

8 authors at 3 institutions in 2 countries.

Sanskriti VatsNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. Sansvats@gmail.com.
Surbhi KumawatNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. Surbhikumawat002@gmail.com.
Virender KumarNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. vvs.kumar15@gmail.com.
Gunvant B PatilDepartment of Agronomy and Plant Genetics University of Minnesota, St. Paul, MN 55108-6026, USA. Gunvantpatil@gmail.com.
Trupti JoshiDepartment of Health Management and Informatics; Informatics Institute; Christopher S Bond Life Science Center, University of Missouri, Columbia, MO 65211-7310, USA. joshitr@health.missouri.edu.
Humira SonahNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. biohuma@gmail.com.ORCID 0000-0003-4796-6120
Tilak Raj SharmaNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. trsharma@nabi.res.in.
Rupesh DeshmukhNational Agri-Food Biotechnology Institute (NABI), Mohali Punjab 140306, India. rupesh0deshmukh@gmail.com.ORCID 0000-0003-4167-6552
National Agri-Food Biotechnology Institute · INUniversity of Minnesota · USUniversity of Missouri · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genome-editing, a recent technological advancement in the field of life sciences, is one of the great examples of techniques used to explore the understanding of the biological phenomenon. Besides having different site-directed nucleases for genome editing over a decade ago, the CRISPR/Cas (clustered regularly interspaced short palindromic repeats/CRISPR-associated protein) based genome editing approach has become a choice of technique due to its simplicity, ease of access, cost, and flexibility. In the present review, several CRISPR/Cas based approaches have been discussed, considering recent advances and challenges to implicate those in the crop improvement programs. Successful examples where CRISPR/Cas approach has been used to improve the biotic and abiotic stress tolerance, and traits related to yield and plant architecture have been discussed. The review highlights the challenges to implement the genome editing in polyploid crop plants like wheat, canola, and sugarcane. Challenges for plants difficult to transform and germline-specific gene expression have been discussed. We have also discussed the notable progress with multi-target editing approaches based on polycistronic tRNA processing, Csy4 endoribonuclease, intron processing, and Drosha ribonuclease. Potential to edit multiple targets simultaneously makes it possible to take up more challenging tasks required to engineer desired crop plants. Similarly, advances like precision gene editing, promoter bashing, and methylome-editing will also be discussed. The present review also provides a catalog of available computational tools and servers facilitating designing of guide-RNA targets, construct designs, and data analysis. The information provided here will be useful for the efficient exploration of technological advances in genome editing field for the crop improvement programs.

Indexed as

AnimalsClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Cas SystemsGene EditingGenome, PlantHumansPlantsRNA, Guide, CRISPR-Cas SystemsRNA, Guide, CRISPR-Cas Systemsbiotic and abiotic stress toleranceCRISPR/Casmethylome-editingmulti-target editingplant transformationpromoter bashing

Identifiers

PMID31689989
PMCPMC6912757
OpenAlexW2984030733

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.