Evidence map›Paper›PMID 33441501›Full record

ArticleThe Journal of reproduction and development2021

Differentially methylated CpG sites related to fertility in Japanese Black bull spermatozoa: epigenetic biomarker candidates to predict sire conception rate.

Kumiko Takeda, Eiji Kobayashi, Kazuko Ogata, Akira Imai, Shinya Sato, Hiromichi Adachi, Yoichiro Hoshino, Kagetomo Nishino, Masahiro Inoue, Masahiro Kaneda and 1 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of reproduction and development, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.1field-weighted citation impact, top 25% of its field
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

13 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
  2. Review
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  4. Profiling Genome-Wide Methylation Patterns in Cattle Infected withInternational journal of molecular sciences · 2024
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  12. The epigenome of male germ cells and the programming of phenotypes in cattle.Animal frontiers : the review magazine of animal agriculture · 2021
    Article
  13. 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

11 authors at 5 institutions in 1 country.

Kumiko TakedaInstitute of Livestock and Grassland Science, NARO, Ibaraki 305-0901, Japan.
Eiji KobayashiInstitute of Livestock and Grassland Science, NARO, Ibaraki 305-0901, Japan.
Kazuko OgataInstitute of Livestock and Grassland Science, NARO, Ibaraki 305-0901, Japan.
Akira ImaiHiroshima Prefectural Livestock Technology Research Center, Hiroshima 739-0151, Japan.
Shinya SatoHiroshima Prefectural Livestock Technology Research Center, Hiroshima 739-0151, Japan.
Hiromichi AdachiHida Beef Cattle Research, Gifu Prefectural Livestock Research Institute, Gifu 506-0101, Japan.
Yoichiro HoshinoKyoto University, Kyoto 622-0203, Japan.
Kagetomo NishinoBeef Cattle Institute, Ibaraki Prefectural Livestock Research Center, Ibaraki 319-2224, Japan.
Masahiro InoueTottori Prefectural Livestock Research Institute, Tottori 689-2503, Japan.
Masahiro KanedaTokyo University of Agriculture and Technology, Tokyo 183-8509, Japan.
Shinya WatanabeInstitute of Livestock and Grassland Science, NARO, Ibaraki 305-0901, Japan.
Institute of Livestock and Grassland Science · JPIbaraki Prefectural Livestock Center · JPGifu Prefectural Research Institute for Forests · JPKyoto University · JPTokyo University of Agriculture and Technology · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For semen suppliers, predicting the low fertility of service bull candidates before artificial insemination would help prevent economic loss; however, predicting bull fertility through in vitro assessment of semen is yet to be established. In the present study, we focused on the methylated CpG sites of sperm nuclear DNA and examined methylation levels to screen new biomarkers for predicting bull fertility. In frozen-thawed semen samples collected from Japanese Black bulls, for which the sire conception rate (SCR) was recorded, the methylation level of each CpG site was analyzed using human methylation microarray. According to regression analysis, 143 CpG sites related to SCR were significantly differentially methylated. Whole genome bisulfite sequence data were obtained from three semen samples and the differentially methylated regions (DMRs) that included the target CpG sites selected by human methylation microarray were confirmed. Using combined bisulfite restriction analysis, fertility-related methylation changes were detected in 10 DMRs. With the exception of one DMR, the methylation levels of these DMRs were significantly different between groups with high fertility (> 50%) and low fertility (< 40%). From multiple regression analysis of methylation levels and SCR, three DMRs were selected that could effectively predict bull fertility. We suggest that these fertility-related differences in spermatozoal methylation levels could be new epigenetic biomarkers for predicting bull fertility.

Indexed as

CpG IslandsDNA MethylationEpigenesis, GeneticAnimalsBiomarkersBreedingCattleFertilityFertilizationInsemination, ArtificialMaleOligonucleotide Array Sequence AnalysisRegression AnalysisSemen AnalysisSemen PreservationSpermatozoaBiomarkersBullDNA methylationFertilityMicroarraySpermatozoa

Identifiers

PMID33441501
PMCPMC8075730
OpenAlexW3118954623

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.