Evidence map›Paper›PMID 37961986›Full record

ReviewPlant biotechnology journal2024

Unravelling inversions: Technological advances, challenges, and potential impact on crop breeding.

Haifei Hu, Armin Scheben, Jian Wang, Fangping Li, Chengdao Li, David Edwards, Junliang Zhao

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

  1. Review
  2. Article
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  5. Article
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  8. Breaking genetic linkage barriers to improve brown planthopper resistance and grain yield in japonica rice.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. CRISPR-Cas applications in agriculture and plant research.Nature reviews. Molecular cell biology · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  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

7 authors.

Haifei HuRice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou, China.ORCID 0000-0003-1070-213X
Armin SchebenSimons Center for Quantitative Biology, Cold Spring Harbor Laboratory, Cold Spring Harbor, New York, USA.
Jian WangRice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou, China.
Fangping LiGuangdong Provincial Key Laboratory of Plant Molecular Breeding, State Key Laboratory for Conservation and Utilization of Subtropical Agro-Bioresources, South China Agricultural University, Guangzhou, China.
Chengdao LiWestern Crop Genetics Alliance, Centre for Crop & Food Innovation, Food Futures Institute, College of Science, Health, Engineering and Education, Murdoch University, Murdoch, Western Australia, Australia.ORCID 0000-0002-9653-2700
David EdwardsSchool of Biological Sciences, University of Western Australia, Perth, Western Australia, Australia.ORCID 0000-0001-7599-6760
Junliang ZhaoRice Research Institute, Guangdong Academy of Agricultural Sciences & Key Laboratory of Genetics and Breeding of High Quality Rice in Southern China (Co-construction by Ministry and Province), Ministry of Agriculture and Rural Affairs & Guangdong Key Laboratory of New Technology in Rice Breeding & Guangdong Rice Engineering Laboratory, Guangzhou, China.ORCID 0000-0003-3194-3290

Funding

Guangdong Key Laboratory of New Technology in Rice Breeding: 2023B1212060042Introduction of Young Key Talents of Guangdong Academy of Agricultural Sciences R2023YJ-QC001Seed industry revitalization project of the special fund for the rural revitalization strategy of Guangdong Province in 2022 2022-NPY-00-004Seed industry revitalization project of the special fund for the rural revitalization strategy of Guangdong Province in 2022 2022-NPY-00-005the Innovation Team Project of Guangdong Modern Agricultural Industrial System 2023KJ106the "YouGu" Plan of Rice Research Institute of Guangdong Academy of Agricultural Sciences 2023YG01the "YouGu" Plan of Rice Research Institute of Guangdong Academy of Agricultural Sciences 2023YG04
6 · The paper itself

Abstract

Inversions, a type of chromosomal structural variation, significantly influence plant adaptation and gene functions by impacting gene expression and recombination rates. However, compared with other structural variations, their roles in functional biology and crop improvement remain largely unexplored. In this review, we highlight technological and methodological advancements that have allowed a comprehensive understanding of inversion variants through the pangenome framework and machine learning algorithms. Genome editing is an efficient method for inducing or reversing inversion mutations in plants, providing an effective mechanism to modify local recombination rates. Given the potential of inversions in crop breeding, we anticipate increasing attention on inversions from the scientific community in future research and breeding applications.

Indexed as

Gene EditingPlant BreedingChromosome InversionGenome, PlantPlantsgenome editinginversionmachine learningpangenomeplant breeding

Identifiers

PMID37961986
PMCPMC10893937

What Socratic 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 Socratic graph.