Evidence map›Paper›PMID 30283021›Full record

ArticleScientific reports2018

The relationship between transgenerational acquired resistance and global DNA methylation in Arabidopsis.

Joost H M Stassen, Ana López, Ritushree Jain, David Pascual-Pardo, Estrella Luna, Lisa M Smith, Jurriaan Ton

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
11.5field-weighted citation impact, top 2% of its field
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

32 citing papers in PubMed, 78 citations in OpenAlex.

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  5. Impacts of limits to adaptation on population and community persistence in a changing environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
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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 at 4 institutions in 3 countries.

Joost H M StassenDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom. j.stassen@sheffield.ac.uk.ORCID http://orcid.org/0000-0001-5483-325X
Ana LópezDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom.ORCID http://orcid.org/0000-0003-0859-3536
Ritushree JainDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom.ORCID http://orcid.org/0000-0002-4909-0356
David Pascual-PardoDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom.
Estrella LunaDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom.ORCID http://orcid.org/0000-0002-7299-5364
Lisa M SmithDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom.ORCID http://orcid.org/0000-0003-2364-8187
Jurriaan TonDepartment of Animal and Plant Sciences, Faculty of Science and P3 Centre for Translational Plant Science, Western Bank, University of Sheffield, Sheffield, S10 2TN, United Kingdom. j.ton@sheffield.ac.uk.ORCID http://orcid.org/0000-0002-8512-2802
University of Sheffield · GBARC Centre of Excellence in Plant Energy Biology · AUCentro Nacional de Biotecnología · ESUniversity of Birmingham · GB

Funding

DECODING MOLECULAR SURFACE RECOGNITIONF32CA008939 · NCI · SCRIPPS RESEARCH INSTITUTE · PI KUHN, LESLIE A · 1990 to 1991
–
Biotechnology and Biological Sciences Research Council BB/P006698/1Biotechnology and Biological Sciences Research Council (BBSRC) BB/L008939/1European Research Council 309944
6 · The paper itself

Abstract

Progeny of heavily diseased plants develop transgenerational acquired resistance (TAR). In Arabidopsis, TAR can be transmitted over one stress-free generation. Although DNA methylation has been implicated in the regulation of TAR, the relationship between TAR and global DNA methylation remains unknown. Here, we characterised the methylome of TAR-expressing Arabidopsis at different generations after disease exposure. Global clustering of cytosine methylation revealed TAR-related patterns in the F3 generation, but not in the F1 generation. The majority of differentially methylated positions (DMPs) occurred at CG context in gene bodies. TAR in F3 progeny after one initial generation of disease, followed by two stress-free generations, was lower than TAR in F3 progeny after three successive generations of disease. This difference in TAR effectiveness was proportional to the intensity of differential methylation at a sub-set of cytosine positions. Comparison of TAR-related DMPs with previously characterised cytosine methylation in mutation accumulation lines revealed that ancestral disease stress preferentially acts on methylation-labile cytosine positions, but also extends to methylation-stable positions. Thus, the TAR-related impact of ancestral disease extends beyond stochastic variation in DNA methylation. Our study has shown that the Arabidopsis epigenome responds globally to disease in previous generations and we discuss its contribution to TAR.

Indexed as

Epigenesis, GeneticGene Expression Regulation, PlantGenome, PlantAdaptation, PhysiologicalArabidopsisCytosineDisease ResistanceDNA MethylationDNA, PlantInheritance PatternsPseudomonas syringaeStress, PhysiologicalCytosineDNA, Plant

Identifiers

PMID30283021
PMCPMC6170496
OpenAlexW2893683747

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.