Evidence map›Paper›PMID 24465864›Full record

ArticlePloS one2014

Genetic and DNA methylation changes in cotton (Gossypium) genotypes and tissues.

Kenji Osabe, Jenny D Clement, Frank Bedon, Filomena A Pettolino, Lisa Ziolkowski, Danny J Llewellyn, E Jean Finnegan, Iain W Wilson

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
12.1field-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

24 citing papers in PubMed, 67 citations in OpenAlex.

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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

8 authors at 2 institutions in 1 country.

Kenji OsabeCSIRO, Plant Industry, ACT, Australia.
Jenny D ClementCSIRO, Plant Industry, ACT, Australia.
Frank BedonCSIRO, Plant Industry, ACT, Australia.
Filomena A PettolinoCSIRO, Plant Industry, ACT, Australia.
Lisa ZiolkowskiCSIRO, Plant Industry, ACT, Australia.
Danny J LlewellynCSIRO, Plant Industry, ACT, Australia.
E Jean FinneganCSIRO, Plant Industry, ACT, Australia.
Iain W WilsonCSIRO, Plant Industry, ACT, Australia.
Plant Industry · AUCommonwealth Scientific and Industrial Research Organisation · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In plants, epigenetic regulation is important in normal development and in modulating some agronomic traits. The potential contribution of DNA methylation mediated gene regulation to phenotypic diversity and development in cotton was investigated between cotton genotypes and various tissues. DNA methylation diversity, genetic diversity, and changes in methylation context were investigated using methylation-sensitive amplified polymorphism (MSAP) assays including a methylation insensitive enzyme (BsiSI), and the total DNA methylation level was measured by high-performance liquid chromatography (HPLC). DNA methylation diversity was greater than the genetic diversity in the selected cotton genotypes and significantly different levels of DNA methylation were identified between tissues, including fibre. The higher DNA methylation diversity (CHG methylation being more diverse than CG methylation) in cotton genotypes suggest epigenetic regulation may be important for cotton, and the change in DNA methylation between fibre and other tissues hints that some genes may be epigenetically regulated for fibre development. The novel approach using BsiSI allowed direct comparison between genetic and epigenetic diversity, and also measured CC methylation level that cannot be detected by conventional MSAP.

Indexed as

DNA MethylationDNA, PlantEpigenesis, GeneticGene Expression Regulation, PlantGenetic VariationGenotypeGossypiumPolymorphism, GeneticDNA, Plant

Identifiers

PMID24465864
PMCPMC3896429
OpenAlexW2006609302

What OpenQuestion holds

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LicenceCC BY
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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.