Evidence map›Paper›PMID 34968253›Full record

ArticleEpigenomes2019

Divergence Analyses of Sperm DNA Methylomes between Monozygotic Twin AI Bulls.

Shuli Liu, Siqian Chen, Wentao Cai, Hongwei Yin, Aoxing Liu, Yanhua Li, George E Liu, Yachun Wang, Ying Yu, Shengli Zhang

Open access · diamondAbstract read
In one paragraph

Article in Epigenomes, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

10 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Harnessing male germline epigenomics for the genetic improvement in cattle.Journal of animal science and biotechnology · 2023
    Review
  6. Article
  7. Article
  8. Article
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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

10 authors at 2 institutions in 2 countries.

Shuli LiuKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
Siqian ChenKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
Wentao CaiKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.ORCID 0000-0002-5639-1755
Hongwei YinKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
Aoxing LiuKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.ORCID 0000-0002-9155-1494
Yanhua LiKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
George E LiuAnimal Genomics and Improvement Laboratory, BARC, USDA-ARS, BARC-East, Beltsville, MD 20705, USA.ORCID 0000-0003-0192-6705
Yachun WangKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.ORCID 0000-0003-3629-2802
Ying YuKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
Shengli ZhangKey Laboratory of Animal Genetics, Breeding and Reproduction, Ministry of Agriculture & National Engineering Laboratory for Animal Breeding, College of Animal Science and Technology, China Agricultural University, 2rd, Yuanmingyuan West Road, Beijing 100193, China.
China Agricultural University · CNAgricultural Research Service · US

Funding

Beijing Natural Science Foundation 6182021Modern Agro-industry Technology Research System CARS-36National Natural Science Foundation of China 31272420National Science and Technology Programs of China 2013AA102504, 2014ZX08009-053BProgram for Changjiang Scholar and Innovation Research Team in University IRT-15R62Selection and Breeding for High Productive Dairy Cattle Program NingXia[2016]3-6
6 · The paper itself

Abstract

Semen quality is critical for fertility. However, it is easily influenced by environmental factors and can induce subfertility in the next generations. Here, we aimed to assess the impacts of differentially methylated regions and genes on semen quality and offspring fertility. A specific pair of monozygotic (MZ) twin artificial insemination (AI) Holstein bulls with moderately different sperm qualities (Bull1 > Bull2) was used in the study, and each twin bull had produced ~6000 recorded daughters nationwide in China. Using whole genome bisulfite sequencing, we profiled the landscape of the twin bulls' sperm methylomes, and we observed markedly higher sperm methylation levels in Bull1 than in Bull2. Furthermore, we found 528 differentially methylated regions (DMR) between the MZ twin bulls, which spanned or overlapped with 309 differentially methylated genes (DMG). These DMG were particularly associated with embryo development, organ development, reproduction, and the nervous system. Several DMG were also shown to be differentially expressed in the sperm cells. Moreover, the significant differences in DNA methylation on gene

Indexed as

differentially methylated genesdifferentially methylated regionsDNA methylomeHolstein bullmonozygotic twins

Identifiers

PMID34968253
PMCPMC8594723
OpenAlexW2975855847

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.