Evidence map›Paper›PMID 39808191›Full record

ArticleMarine biotechnology (New York, N.Y.)2025

DNA Methylation of Somatic Tissues in Oysters is Influenced by Sex and Heredity.

Wen Teng, Chengxun Xu, Shikai Liu, Hong Yu, Lingfeng Kong, Qi Li

Abstract read
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In one paragraph

Article in Marine biotechnology (New York, N.Y.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Wen TengKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
Chengxun XuKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
Shikai LiuKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
Hong YuKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
Lingfeng KongKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China.
Qi LiKey Laboratory of Mariculture, Ministry of Education, Ocean University of China, Qingdao, 266003, China. qili66@ouc.edu.cn.

Funding

National Key Research and Development Program of China 2022YFD2400305The China Agriculture Research System Project CARS-49
6 · The paper itself

Abstract

The influence of sex and heredity on DNA methylation in the somatic tissues of mice has been well-documented, with similar hereditary effects reported in honeybees. However, the extent to which these factors affect DNA methylation in molluscan somatic tissues remains poorly understood. In this study, we investigated genomic DNA methylation patterns in the adductor muscle of two genetically distinct oyster strains using whole-genome bisulfite sequencing (WGBS). Our analysis identified significant differences in DNA methylation between sexes, with females exhibiting a global reduction compared to males. Furthermore, approximately half of the differentially methylated sites between the two parental strains were conserved in their offspring. Regions with differential methylation in parents typically exhibited intermediate methylation levels in the F1 progeny, whereas consistently methylated regions in parents maintained similar methylation levels in their progeny. These findings suggest that offspring DNA methylation is strongly influenced by parental methylation profiles, highlighting its potential role in sexual determination in oysters.

Indexed as

CrassostreaDNA MethylationAnimalsFemaleMaleSex Determination ProcessesSex FactorsWhole Genome SequencingDNA methylationEpigenetic inheritanceOysterSex-biasSomatic tissue

Identifiers

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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.