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

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.

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Publication Details

Journal
Nature Genetics
Published
2025-08-19
DOI
https://doi.org/10.1038/s41588-025-02293-0
Citations
14
Primary Topic
Chromosomal and Genetic Variations
Type
article
Field-Weighted Citation Impact
24.50
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article

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

Magnus Nordborg, Detlef Weigel, Aleksandra E. Kornienko, Christa Lanz et al.
14 citations
Nature Genetics
Chromosomal and Genetic Variations
24.50
article

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

Magnus Nordborg, Detlef Weigel, Aleksandra E. Kornienko, Christa Lanz, Anna A. Igolkina, Sebastian Vorbrugg, Joffrey Fitz, Viktoria Nizhynska, Benjamin Jaegle, Pádraic J. Flood, Ilja Bezrukov, Angela M. Hancock, Ya‐Long Guo, Vitaly Voloshin, Haim Ashkenazy, Christian Kubica, Paul Kersey, Ilka Reichardt, Sileshi Nemomissa, Travis Wrightsman, Víctor Llaca, Almudena Mollá‐Morales, Felix Bemm, Max Collenberg, Haijun Liu, Fernando A. Rabanal, Alexander D. Bezlepsky
article en
14 citations

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.

Nature GeneticsVol. 57(9)
Gregor Mendel Institute of Molecular Plant Biology (AT), Austrian Academy of Sciences (AT), Chinese Academy of Sciences (CN), Royal Botanic Gardens, Kew (GB), All-Russian Research Institute of Agricultural Microbiology (RU), Corteva (United States) (US), Max Planck Institute for Plant Breeding Research (DE), Institute of Botany (CN), Max Planck Institute for Biology (DE), Addis Ababa University (ET), University of Tübingen (DE)
Openalex Percentile: Top 0%
Chromosomal and Genetic Variations
24.50
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