Evidence map›Paper›PMID 28231765›Full record

ArticleBMC plant biology2017

Inter-individual variation in DNA methylation is largely restricted to tissue-specific differentially methylated regions in maize.

Massimiliano Lauria, Rodrigo Antonio Echegoyen-Nava, Dalia Rodríguez-Ríos, Silvio Zaina, Gertrud Lund

Open access · goldAbstract read
In one paragraph

Article in BMC plant biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
5.1field-weighted citation impact, top 6% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
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  5. Article
  6. Epigenomic landscape and epigenetic regulation in maize.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2020
    Review
  7. Article
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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

5 authors at 3 institutions in 2 countries.

Massimiliano LauriaConsiglio Nazionale delle Ricerche, Istituto di Biologia e Biotecnologia Agraria, I-20133, Milan, Italy.
Rodrigo Antonio Echegoyen-NavaGertrud Lund, Department of Genetic Engineering, CINVESTAV - Unidad Irapuato, Km. 9.6 Libramiento Norte Carretera Irapuato-Leon, Apdo. Postal 629, C. P. 36500, Irapuato, GTO, Mexico.
Dalia Rodríguez-RíosGertrud Lund, Department of Genetic Engineering, CINVESTAV - Unidad Irapuato, Km. 9.6 Libramiento Norte Carretera Irapuato-Leon, Apdo. Postal 629, C. P. 36500, Irapuato, GTO, Mexico.
Silvio ZainaDepartment of Medical Sciences, Division of Health Sciences, León Campus, University of Guanajuato, Guanajuato, Mexico.
Gertrud LundGertrud Lund, Department of Genetic Engineering, CINVESTAV - Unidad Irapuato, Km. 9.6 Libramiento Norte Carretera Irapuato-Leon, Apdo. Postal 629, C. P. 36500, Irapuato, GTO, Mexico. gertrud.lund@cinvestav.mx.
Instituto Tecnológico Superior de Irapuato · MXIstituto di Biologia e Biotecnologia Agraria · ITUniversidad de Guanajuato · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundVariation in DNA methylation across distinct genetic populations, or in response to specific biotic or abiotic stimuli, has typically been studied in leaf DNA from pooled individuals using either reduced representation bisulfite sequencing, whole genome bisulfite sequencing (WGBS) or methylation sensitive amplified polymorphism (MSAP). The latter represents a useful alterative when sample size is large, or when analysing methylation changes in genomes that have yet to be sequenced. In this study we compared variation in methylation across ten individual leaf and endosperm samples from maize hybrid and inbred lines using MSAP. We also addressed the methodological implications of analysing methylation variation using pooled versus individual DNA samples, in addition to the validity of MSAP compared to WGBS. Finally, we analysed a subset of variable and non-variable fragments with respect to genomic location, vicinity to repetitive elements and expression patterns across leaf and endosperm tissues.

resultsOn average, 30% of individuals showed inter-individual methylation variation, mostly of leaf and endosperm-specific differentially methylated DNA regions. With the exception of low frequency demethylation events, the bulk of inter-individual methylation variation (84 and 80% in leaf and endosperm, respectively) was effectively captured in DNA from pooled individuals. Furthermore, available genome-wide methylation data largely confirmed MSAP leaf methylation profiles. Most variable methylation that mapped within genes was associated with CG methylation, and many of such genes showed tissue-specific expression profiles. Finally, we found that the hAT DNA transposon was the most common class II transposable element found in close proximity to variable DNA regions.

conclusionsThe relevance of our results with respect to future studies of methylation variation is the following: firstly, the finding that inter-individual methylation variation is largely restricted to tissue-specific differentially methylated DNA regions, underlines the importance of tissue-type when analysing the methylation response to a defined stimulus. Secondly, we show that pooled sample-based MSAP studies are methodologically appropriate to study methylation variation. Thirdly, we confirm that MSAP is a powerful tool when WGBS is not required or feasible, for example in plant species that have yet to be sequenced.

Indexed as

DNA MethylationDNA, PlantDNA Transposable ElementsGene Expression Regulation, PlantGenome, PlantOrgan SpecificityZea maysDNA, PlantDNA Transposable ElementsCG and non-CG methylationClass II transposable elementsEndospermInter-individual variation in methylationTissue-specific

Identifiers

PMID28231765
PMCPMC5324254
OpenAlexW2590139944

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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.