Evidence map›Paper›PMID 39525414›Full record

ReviewForestry research2022

Progress and challenges in applying CRISPR/Cas techniques to the genome editing of trees.

Solme Pak, Chenghao Li

Abstract readReview
In one paragraph

Review in Forestry research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Abscisic Acid-Mediated Drought Tolerance inCurrent issues in molecular biology · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. CRISPR/Cas as a Genome-Editing Technique in Fruit Tree Breeding.International journal of molecular sciences · 2023
    Review
  7. PlantForestry research · 2023
    Review
  8. 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

2 authors.

Solme PakState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.
Chenghao LiState Key Laboratory of Tree Genetics and Breeding, Northeast Forestry University, Harbin 150040, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the advent of the Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein (Cas) system, plant genome editing has entered a new era of robust and precise editing for any genes of interest. The development of various CRISPR/Cas toolkits has enabled new genome editing outcomes that not only target indel mutations but also enable base editing and prime editing. The application of the CRISPR/Cas toolkits has rapidly advanced breeding and crop improvement of economically important species. CRISPR/Cas toolkits have also been applied to a wide variety of tree species, including apple, bamboo, Cannabaceae, cassava, citrus, cacao tree, coffee tree, grapevine, kiwifruit, pear, pomegranate, poplar, ratanjoyt, and rubber tree. The application of editing to these species has resulted in significant discoveries related to critical genes associated with growth, secondary metabolism, and stress and disease resistance. However, most studies on tree species have involved only preliminary optimization of editing techniques, and a more in-depth study of editing techniques for CRISPR/Cas-based editing of tree species has the potential to rapidly accelerate tree breeding and trait improvements. Moreover, tree genome editing still relies mostly on Cas9-based indel mutation and

Indexed as

Clustered Regularly Interspaced Short Palindromic Repeats/CRISPR-associated proteinForest treeGene editingGenetic transformationRibonucleo-protein complex

Identifiers

PMID39525414
PMCPMC11524270

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.