Evidence map›Paper›PMID 25503602›Full record

ArticlePLoS genetics2014

Natural CMT2 variation is associated with genome-wide methylation changes and temperature seasonality.

Xia Shen, Jennifer De Jonge, Simon K G Forsberg, Mats E Pettersson, Zheya Sheng, Lars Hennig, Örjan Carlborg

Abstract read
In one paragraph

Article in PLoS genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Article
  3. Molecular regulatory mechanisms ofForestry research · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Epigenetics in the modern era of crop improvements.Science China. Life sciences · 2025
    Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review

24 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

7 authors.

Xia ShenSwedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Uppsala, Sweden; Karolinska Institutet, Department of Medical Epidemiology and Biostatistics, Stockholm, Sweden; University of Edinburgh, MRC Institute of Genetics and Molecular Medicine, MRC Human Genetics Unit, Edinburgh, United Kingdom.
Jennifer De JongeSwedish University of Agricultural Sciences, Department of Plant Biology, Uppsala, Sweden.
Simon K G ForsbergSwedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Uppsala, Sweden.
Mats E PetterssonSwedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Uppsala, Sweden.
Zheya ShengSwedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Uppsala, Sweden.
Lars HennigSwedish University of Agricultural Sciences, Department of Plant Biology, Uppsala, Sweden.
Örjan CarlborgSwedish University of Agricultural Sciences, Department of Clinical Sciences, Division of Computational Genetics, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As Arabidopsis thaliana has colonized a wide range of habitats across the world it is an attractive model for studying the genetic mechanisms underlying environmental adaptation. Here, we used public data from two collections of A. thaliana accessions to associate genetic variability at individual loci with differences in climates at the sampling sites. We use a novel method to screen the genome for plastic alleles that tolerate a broader climate range than the major allele. This approach reduces confounding with population structure and increases power compared to standard genome-wide association methods. Sixteen novel loci were found, including an association between Chromomethylase 2 (CMT2) and temperature seasonality where the genome-wide CHH methylation was different for the group of accessions carrying the plastic allele. Cmt2 mutants were shown to be more tolerant to heat-stress, suggesting genetic regulation of epigenetic modifications as a likely mechanism underlying natural adaptation to variable temperatures, potentially through differential allelic plasticity to temperature-stress.

Indexed as

DNA MethylationPolymorphism, GeneticSeasonsTemperatureAdaptation, PhysiologicalAllelesArabidopsisArabidopsis ProteinsDNA (Cytosine-5-)-MethyltransferasesEpigenesis, GeneticGene Expression Regulation, PlantGenetic Association StudiesGenetic LociGenotyping TechniquesArabidopsis ProteinschromomethylaseDNA (Cytosine-5-)-Methyltransferases

Identifiers

PMID25503602
PMCPMC4263395

What OpenQuestion holds

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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.