Evidence map›Paper›PMID 31481828›Full record

ReviewBreeding science2019

Diversity and dynamics of DNA methylation: epigenomic resources and tools for crop breeding.

Taiji Kawakatsu, Joseph R Ecker

Abstract readReview
In one paragraph

Review in Breeding science, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Testing the potential of zebularine to induce heritable changes in crop growth and development.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2025
    Article
  7. Review
  8. Review
  9. Tools and Techniques to Accelerate Crop Breeding.Plants (Basel, Switzerland) · 2024
    Review
  10. Involvement of Abscisic Acid in Transition of Pea (Plants (Basel, Switzerland) · 2024
    Article
  11. Review
  12. Review
  13. Review
  14. Review
  15. Will epigenetics be a key player in crop breeding?Frontiers in plant science · 2022
    Review
  16. Whole-Genome DNA Methylation Analysis inFrontiers in plant science · 2022
    Article
  17. Review
  18. Review
  19. Review
  20. Review
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

2 authors.

Taiji KawakatsuInstitute of Agrobiological Sciences, National Agriculture and Food Research Organization, 1-2 Owashi Tsukuba, Ibaraki 305-8634, Japan.
Joseph R EckerHoward Hughes Medical Institute, 10010 North Torrey Pines Road, La Jolla, CA 92037, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is an epigenetic modification that can affect gene expression and transposable element (TE) activities. Because cytosine DNA methylation patterns are inherited through both mitotic and meiotic cell divisions, differences in these patterns can contribute to phenotypic variability. Advances in high-throughput sequencing technologies have enabled the generation of abundant DNA sequence data. Integrated analyses of genome-wide gene expression patterns and DNA methylation patterns have revealed the underlying mechanisms and functions of DNA methylation. Moreover, associations between DNA methylation and agronomic traits have also been uncovered. The resulting information may be useful for future applications of natural epigenomic variation, for crop breeding. Additionally, artificial epigenome editing may be an attractive new plant breeding technique for generating novel varieties with improved agronomic traits.

Indexed as

DNA methylationepigenomesmall RNAtransposable element

Identifiers

PMID31481828
PMCPMC6711733

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.