Evidence map›Paper›PMID 23539454›Full record

ArticleeLife2013

Plants regenerated from tissue culture contain stable epigenome changes in rice.

Hume Stroud, Bo Ding, Stacey A Simon, Suhua Feng, Maria Bellizzi, Matteo Pellegrini, Guo-Liang Wang, Blake C Meyers, Steven E Jacobsen

Abstract read
In one paragraph

Article in eLife, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 1 pooled it
–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

130 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  18. An efficientFrontiers in plant science · 2024
    Article
  19. Genomic consequences associated with Agrobacterium-mediated transformation of plants.The Plant journal : for cell and molecular biology · 2024
    Review
  20. Article

70 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

9 authors.

Hume StroudDepartment of Molecular, Cell and Developmental Biology , University of California, Los Angeles , Los Angeles , United States.
Bo Ding
Stacey A Simon
Suhua Feng
Maria Bellizzi
Matteo Pellegrini
Guo-Liang Wang
Blake C Meyers
Steven E Jacobsen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Most transgenic crops are produced through tissue culture. The impact of utilizing such methods on the plant epigenome is poorly understood. Here we generated whole-genome, single-nucleotide resolution maps of DNA methylation in several regenerated rice lines. We found that all tested regenerated plants had significant losses of methylation compared to non-regenerated plants. Loss of methylation was largely stable across generations, and certain sites in the genome were particularly susceptible to loss of methylation. Loss of methylation at promoters was associated with deregulated expression of protein-coding genes. Analyses of callus and untransformed plants regenerated from callus indicated that loss of methylation is stochastically induced at the tissue culture step. These changes in methylation may explain a component of somaclonal variation, a phenomenon in which plants derived from tissue culture manifest phenotypic variability. DOI:http://dx.doi.org/10.7554/eLife.00354.001.

Indexed as

Epigenesis, GeneticRegenerationTissue Culture TechniquesDNA MethylationEpigenomicsGene Expression Regulation, PlantGenotypeOryzaPhenotypePlants, Genetically ModifiedPromoter Regions, GeneticStochastic ProcessesTime FactorsDNA methylationOtherregenerationRicesmall RNAtissue culture

Identifiers

PMID23539454
PMCPMC3601819

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.