Evidence map›Paper›PMID 34101329›Full record

ReviewPlant biotechnology journal2021

Current status of structural variation studies in plants.

Yuxuan Yuan, Philipp E Bayer, Jacqueline Batley, David Edwards

Abstract readReview
In one paragraph

Review in Plant biotechnology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 94 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
94citing papers in PubMed, 1 pooled it
–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

94 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Research evolution of flat peach (Frontiers in plant science · 2025
    Pooled it
  2. Ancient wheat DNA: How and what for?Journal, genetic engineering & biotechnology · 2026
    Article
  3. Article
  4. Structural Variation and Its Roles in Plant Genomes.Plants (Basel, Switzerland) · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. 3D Chromatin Architecture Provides Insights Into Leaf Trait Variation Among Pear Species.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

34 more citing papers are in PubMed but not listed here.

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

4 authors.

Yuxuan YuanSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0003-0741-4196
Philipp E BayerSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0001-8530-3067
Jacqueline BatleySchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0002-5391-5824
David EdwardsSchool of Biological Sciences and Institute of Agriculture, The University of Western Australia, Perth, WA, Australia.ORCID 0000-0001-7599-6760

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Structural variations (SVs) including gene presence/absence variations and copy number variations are a common feature of genomes in plants and, together with single nucleotide polymorphisms and epigenetic differences, are responsible for the heritable phenotypic diversity observed within and between species. Understanding the contribution of SVs to plant phenotypic variation is important for plant breeders to assist in producing improved varieties. The low resolution of early genetic technologies and inefficient methods have previously limited our understanding of SVs in plants. However, with the rapid expansion in genomic technologies, it is possible to assess SVs with an ever-greater resolution and accuracy. Here, we review the current status of SV studies in plants, examine the roles that SVs play in phenotypic traits, compare current technologies and assess future challenges for SV studies.

Indexed as

DNA Copy Number VariationsGenomicsGenetic VariationGenomic Structural VariationPhenotypebreedingDNA sequencinggene expressionoptical mappingphenotypic variationstructural variation

Identifiers

PMID34101329
PMCPMC8541774

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.