Evidence map›Paper›PMID 35585482›Full record

ArticleBMC genomics2022

Sperm DNA methylation patterns at discrete CpGs and genes involved in embryonic development are related to bull fertility.

Miriama Štiavnická, Aurélie Chaulot-Talmon, Jean-Philippe Perrier, Petr Hošek, David A Kenny, Patrick Lonergan, Hélène Kiefer, Sean Fair

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

15 citing papers in PubMed, 26 citations in OpenAlex.

  1. Meta-GWAS of Pig Semen Quality Traits Reveals Conserved Genes Regulating Mammalian Fertility.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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  14. Harnessing male germline epigenomics for the genetic improvement in cattle.Journal of animal science and biotechnology · 2023
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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

8 authors at 5 institutions in 3 countries.

Miriama ŠtiavnickáDepartment of Biological Sciences, Laboratory of Animal Reproduction, Biomaterials Research Cluster, Bernal Institute, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland. miriam.stiavnicka@ul.ie.
Aurélie Chaulot-TalmonUniversité Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France.
Jean-Philippe PerrierDepartment of Biological Sciences, Laboratory of Animal Reproduction, Biomaterials Research Cluster, Bernal Institute, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland.
Petr HošekBiomedical Center, Faculty of Medicine in Pilsen, Charles University, Pilsen, Czech Republic.
David A KennyAnimal and Bioscience Research Department, Animal and Grassland Research and Innovation Centre, Teagasc, Meath, Ireland.
Patrick LonerganSchool of Agriculture and Food Science, University College Dublin, Belfield, Dublin 4, Ireland.
Hélène KieferUniversité Paris-Saclay, UVSQ, INRAE, BREED, Jouy-en-Josas, France.
Sean FairDepartment of Biological Sciences, Laboratory of Animal Reproduction, Biomaterials Research Cluster, Bernal Institute, Faculty of Science and Engineering, University of Limerick, Limerick, Ireland.
University of Limerick · IEInstitut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement · FRCharles University · CZTeagasc - The Irish Agriculture and Food Development Authority · IEUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDespite a multifactorial approach being taken for the evaluation of bull semen quality in many animal breeding centres worldwide, reliable prediction of bull fertility is still a challenge. Recently, attention has turned to molecular mechanisms, which could uncover potential biomarkers of fertility. One of these mechanisms is DNA methylation, which together with other epigenetic mechanisms is essential for the fertilising sperm to drive normal embryo development and establish a viable pregnancy. In this study, we hypothesised that bull sperm DNA methylation patterns are related to bull fertility. We therefore investigated DNA methylation patterns from bulls used in artificial insemination with contrasting fertility scores.

resultsThe DNA methylation patterns were obtained by reduced representative bisulphite sequencing from 10 high-fertility bulls and 10 low-fertility bulls, having average fertility scores of - 6.6 and + 6.5%, respectively (mean of the population was zero). Hierarchical clustering analysis did not distinguish bulls based on fertility but did highlight individual differences. Despite this, using stringent criteria (DNA methylation difference ≥ 35% and a q-value < 0.001), we identified 661 differently methylated cytosines (DMCs). DMCs were preferentially located in intergenic regions, introns, gene downstream regions, repetitive elements, open sea, shores and shelves of CpG islands. We also identified 10 differently methylated regions, covered by 7 unique genes (SFRP1, STXBP4, BCR, PSMG4, ARSG, ATP11A, RXRA), which are involved in spermatogenesis and early embryonic development.

conclusionThis study demonstrated that at specific CpG sites, sperm DNA methylation status is related to bull fertility, and identified seven differently methylated genes in sperm of subfertile bulls that may lead to altered gene expression and potentially influence embryo development.

Indexed as

DNA MethylationSemen AnalysisAnimalsCattleEmbryonic DevelopmentFemaleFertilityMalePregnancySpermatozoaDairy industryDNA methylationEpigeneticsMale fertilityRRBSSpermatozoa

Identifiers

PMID35585482
PMCPMC9118845
OpenAlexW4280529434

What OpenQuestion holds

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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.