Evidence map›Paper›PMID 40830656›Full record

ArticleNature genetics2025

A comparison of 27 Arabidopsis thaliana genomes and the path toward an unbiased characterization of genetic polymorphism.

Anna A Igolkina, Sebastian Vorbrugg, Fernando A Rabanal, Hai-Jun Liu, Haim Ashkenazy, Aleksandra E Kornienko, Joffrey Fitz, Max Collenberg, Christian Kubica, Almudena Mollá Morales and 17 more

Abstract readComparative Study
In one paragraph

Article in Nature genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Navigating the pangenome coordinate system with Shredtools.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Review
  13. Review
  14. Polymorphic 3D genome architecture mediated by transposable elements.bioRxiv : the preprint server for biology · 2026
    Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

27 authors.

Anna A Igolkina *Gregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.
Sebastian Vorbrugg *Max Planck Institute for Biology Tübingen, Tübingen, Germany.
Fernando A Rabanal *Max Planck Institute for Biology Tübingen, Tübingen, Germany.
Hai-Jun Liu *Gregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.ORCID http://orcid.org/0000-0001-7717-893X
Haim Ashkenazy *Max Planck Institute for Biology Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-5079-4684
Aleksandra E Kornienko *Gregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.
Joffrey FitzMax Planck Institute for Biology Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0002-1374-3538
Max CollenbergMax Planck Institute for Biology Tübingen, Tübingen, Germany.
Christian KubicaMax Planck Institute for Biology Tübingen, Tübingen, Germany.ORCID http://orcid.org/0000-0001-7161-2387
Almudena Mollá MoralesGregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.ORCID http://orcid.org/0000-0001-9465-0490
Benjamin JaegleGregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.
Travis WrightsmanMax Planck Institute for Biology Tübingen, Tübingen, Germany.
Vitaly VoloshinRoyal Botanic Gardens Kew, London, UK.ORCID http://orcid.org/0000-0002-9631-5976
Alexander D BezlepskyAll-Russian Research Institute of Agricultural Microbiology, Saint Petersburg, Russia.
Victor LlacaCorteva Agriscience, Johnston, IA, USA.ORCID http://orcid.org/0000-0003-4822-2924
Viktoria NizhynskaGregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.
Ilka ReichardtGregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria.ORCID http://orcid.org/0000-0001-7964-9352
Ilja BezrukovMax Planck Institute for Biology Tübingen, Tübingen, Germany.
Christa LanzMax Planck Institute for Biology Tübingen, Tübingen, Germany.
Felix BemmMax Planck Institute for Biology Tübingen, Tübingen, Germany.
Pádraic J FloodMax Planck Institute for Plant Breeding Research, Cologne, Germany.ORCID http://orcid.org/0000-0002-7196-9754
Sileshi NemomissaAddis Ababa University, Addis Ababa, Ethiopia.
Angela HancockMax Planck Institute for Plant Breeding Research, Cologne, Germany.ORCID http://orcid.org/0000-0002-4768-3377
Ya-Long GuoInstitute of Botany, Chinese Academy of Sciences, Beijing, China.ORCID http://orcid.org/0000-0002-4643-4889
Paul KerseyRoyal Botanic Gardens Kew, London, UK.
Detlef WeigelMax Planck Institute for Biology Tübingen, Tübingen, Germany. weigel@tue.mpg.de.ORCID http://orcid.org/0000-0002-2114-7963
Magnus NordborgGregor Mendel Institute, Austrian Academy of Sciences, Vienna, Austria. magnus.nordborg@gmi.oeaw.ac.at.ORCID http://orcid.org/0000-0001-7178-9748

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 1001GenomesPlusEC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) EPICLINESEC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 847548RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/S004661/1
6 · The paper itself

Abstract

Making sense of whole-genome polymorphism data is challenging, but it is essential for overcoming the biases in SNP data. Here we analyze 27 genomes of Arabidopsis thaliana to illustrate these issues. Genome size variation is mostly due to tandem repeat regions that are difficult to assemble. However, while the rest of the genome varies little in length, it is full of structural variants, mostly due to transposon insertions. Because of this, the pangenome coordinate system grows rapidly with sample size and ultimately becomes 70% larger than the size of any single genome, even for n = 27. Finally, we show how short-read data are biased by read mapping. SNP calling is biased by the choice of reference genome, and both transcriptome and methylome profiling results are affected by mapping reads to a reference genome rather than to the genome of the assayed individual.

Indexed as

ArabidopsisGenome, PlantPolymorphism, GeneticPolymorphism, Single NucleotideChromosome MappingDNA Transposable ElementsTranscriptomeDNA Transposable Elements

Identifiers

PMID40830656
PMCPMC12425826

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.