Evidence map›Paper›PMID 25569172›Full record

ArticlePLoS genetics2015

Century-scale methylome stability in a recently diverged Arabidopsis thaliana lineage.

Jörg Hagmann, Claude Becker, Jonas Müller, Oliver Stegle, Rhonda C Meyer, George Wang, Korbinian Schneeberger, Joffrey Fitz, Thomas Altmann, Joy Bergelson and 2 more

Abstract read
In one paragraph

Article in PLoS genetics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 80 papers.

0numbers the graph read from it
0cells of the map it votes in
80citing 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

80 citing papers in PubMed.

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  16. An evolutionary epigenetic clock in plants.bioRxiv : the preprint server for biology · 2023
    Article
  17. Article
  18. Article
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  20. Article

20 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

12 authors.

Jörg HagmannDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Claude BeckerDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Jonas MüllerDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Oliver StegleMachine Learning and Computational Biology Research Group, Max Planck Institute for Developmental Biology and Max Planck Institute for Intelligent Systems, Tübingen, Germany; European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, United Kingdom.
Rhonda C MeyerThe Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
George WangDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Korbinian SchneebergerDepartment of Plant Developmental Biology, Max Planck Institute for Plant Breeding Research, Cologne, Germany.
Joffrey FitzDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.
Thomas AltmannThe Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany.
Joy BergelsonDepartment of Ecology and Evolution, University of Chicago, Chicago, Illinois, United States of America.
Karsten BorgwardtMachine Learning and Computational Biology Research Group, Max Planck Institute for Developmental Biology and Max Planck Institute for Intelligent Systems, Tübingen, Germany; Center for Bioinformatics (ZBIT), Eberhard Karls Universität Tübingen, Tübingen, Germany.
Detlef WeigelDepartment of Molecular Biology, Max Planck Institute for Developmental Biology, Tübingen, Germany.

Funding

Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
The Molecular Basis of Local Adaptation in Arabidopsis thalianaR01GM083068 · NIGMS · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BERGELSON, JOY M · 2008 to 2012
$2.1M
NCATS NIH HHS UL1 TR000430NIGMS NIH HHS GM083068NIGMS NIH HHS R01 GM083068
6 · The paper itself

Abstract

There has been much excitement about the possibility that exposure to specific environments can induce an ecological memory in the form of whole-sale, genome-wide epigenetic changes that are maintained over many generations. In the model plant Arabidopsis thaliana, numerous heritable DNA methylation differences have been identified in greenhouse-grown isogenic lines, but it remains unknown how natural, highly variable environments affect the rate and spectrum of such changes. Here we present detailed methylome analyses in a geographically dispersed A. thaliana population that constitutes a collection of near-isogenic lines, diverged for at least a century from a common ancestor. Methylome variation largely reflected genetic distance, and was in many aspects similar to that of lines raised in uniform conditions. Thus, even when plants are grown in varying and diverse natural sites, genome-wide epigenetic variation accumulates mostly in a clock-like manner, and epigenetic divergence thus parallels the pattern of genome-wide DNA sequence divergence.

Indexed as

Epigenesis, GeneticGenetic VariationGenome, PlantArabidopsisDNA MethylationDNA, PlantDNA Transposable ElementsPlants, Genetically ModifiedDNA, PlantDNA Transposable Elements

Identifiers

PMID25569172
PMCPMC4287485

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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.