Evidence map›Paper›PMID 31744513›Full record

ArticleGenome biology2019

Population-level analysis reveals the widespread occurrence and phenotypic consequence of DNA methylation variation not tagged by genetic variation in maize.

Jing Xu, Guo Chen, Peter J Hermanson, Qiang Xu, Changshuo Sun, Wenqing Chen, Qiuxin Kan, Minqi Li, Peter A Crisp, Jianbing Yan and 3 more

Abstract readComparative Study
In one paragraph

Article in Genome biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

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

  1. Pooled it
  2. The dual role of polyethylene glycol-simulated drought stress inPhysiology and molecular biology of plants : an international journal of functional plant biology · 2026
    Review
  3. Article
  4. Article
  5. Article
  6. Accessing crop genetic diversity via pangenomics.TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik · 2026
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. 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
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. Grafting based DNA methylation alteration of snoRNAs in upland cotton (Physiology and molecular biology of plants : an international journal of functional plant biology · 2024
    Article
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

13 authors.

Jing XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Guo ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Peter J HermansonDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, MN, 55108, USA.
Qiang XuNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Changshuo SunNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Wenqing ChenNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Qiuxin KanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Minqi LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Peter A CrispDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, MN, 55108, USA.
Jianbing YanNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Lin LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China.
Nathan M SpringerDepartment of Plant and Microbial Biology, University of Minnesota, St. Paul, MN, 55108, USA. springer@umn.edu.
Qing LiNational Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University, Wuhan, 430070, China. qingli@mail.hzau.edu.cn.ORCID 0000-0003-3232-9479

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDNA methylation can provide a source of heritable information that is sometimes entirely uncoupled from genetic variation. However, the extent of this uncoupling and the roles of DNA methylation in shaping diversity of both gene expression and phenotypes are hotly debated. Here, we investigate the genetic basis and biological functions of DNA methylation at a population scale in maize.

resultsWe perform targeted DNA methylation profiling for a diverse panel of 263 maize inbred genotypes. All genotypes show similar levels of DNA methylation globally, highlighting the importance of DNA methylation in maize development. Nevertheless, we identify more than 16,000 differentially methylated regions (DMRs) that are distributed across the 10 maize chromosomes. Genome-wide association analysis with high-density genetic markers reveals that over 60% of the DMRs are not tagged by SNPs, suggesting the presence of unique information in DMRs. Strong associations between DMRs and the expression of many genes are identified in both the leaf and kernel tissues, pointing to the biological significance of methylation variation. Association analysis with 986 metabolic traits suggests that DNA methylation is associated with phenotypic variation of 156 traits. There are some traits that only show significant associations with DMRs and not with SNPs.

conclusionsThese results suggest that DNA methylation can provide unique information to explain phenotypic variation in maize.

Indexed as

DNA MethylationPhenotypeGene ExpressionGenome, PlantGenome-Wide Association StudyPolymorphism, Single NucleotideZea maysDNA methylationGene expressionMaizePhenotypic diversity

Identifiers

PMID31744513
PMCPMC6862797

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.