Evidence map›Paper›PMID 39610890›Full record

ArticleFrontiers in plant science2024

Variations in DNA methylation and the role of regulatory factors in rice (

Xiaohui Du, Yan Zhang, Meng Zhang, Yeqing Sun

Abstract read
In one paragraph

Article in Frontiers in plant science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Xiaohui Du *Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China.
Yan Zhang *Institute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China.
Meng ZhangInstitute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China.
Yeqing SunInstitute of Environmental Systems Biology, College of Environmental Science and Engineering, Dalian Maritime University, Dalian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep space flight imposes higher levels of damage on biological organisms; however, its specific effects on rice remain unclear. To investigate the variations in DNA methylation under deep space flight conditions, this study examined rice seeds carried by Chang'e-5. After 23 days of lunar orbital flight, the samples were planted in an artificial climate chamber and subjected to transcriptome and DNA methylation sequencing during the tillering and heading stages. The methylation patterns in the rice genome exhibited variability in response to lunar orbital stressors. DNA methylation alters the expression and interaction patterns of functional genes, involving biological processes such as metabolism and defense. Furthermore, we employed single-sample analysis methods to assess the gene expression and interaction patterns of different rice individuals. The genes exhibiting changes at the transcriptional and methylation levels varied among the different plants; however, these genes regulate consistent biological functions, primarily emphasizing metabolic processes. Finally, through single-sample analysis, we identified a set of miRNAs induced by lunar orbital stressors that potentially target DNA methylation regulatory factors. The findings of this study broaden the understanding of space biological effects and lay a foundation for further exploration of the mechanisms by which deep space flight impacts plants.

Indexed as

DNA methylationlunar orbit stressorsmethylation regulatory factorsmiRNAsrice (Oryza sativa)single sample analysisspaceflight

Identifiers

PMID39610890
PMCPMC11603183

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Registered trials

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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.