Evidence map›Paper›PMID 33008289›Full record

ArticleBMC genomics2020

Differential network analysis of bovine muscle reveals changes in gene coexpression patterns in response to changes in maternal nutrition.

Lihe Liu, Rocío Amorín, Philipe Moriel, Nicolás DiLorenzo, Phillip A Lancaster, Francisco Peñagaricano

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2020. 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
0.8field-weighted citation impact, top 28% 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, 19 citations in OpenAlex.

  1. Emerging opportunities for DNA methylation biomarkers in cattle improvement.The Journal of reproduction and development · 2026
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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

6 authors at 3 institutions in 1 country.

Lihe LiuDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI, 53706, USA.
Rocío AmorínDepartment of Animal Sciences, University of Florida, Gainesville, FL, 32611, USA.
Philipe MorielRange Cattle Research and Education Center, University of Florida, Ona, FL, 33865, USA.
Nicolás DiLorenzoNorth Florida Research and Education Center, University of Florida, Marianna, FL, 32351, USA.
Phillip A LancasterDepartment of Clinical Sciences, Kansas State University, Manhattan, KS, 66506, USA.
Francisco PeñagaricanoDepartment of Animal and Dairy Sciences, University of Wisconsin-Madison, 1675 Observatory Drive, Madison, WI, 53706, USA. fpenagarican@wisc.edu.ORCID http://orcid.org/0000-0001-6661-3991
University of Florida · USUniversity of Wisconsin–Madison · USKansas State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoexpression network analysis is a powerful tool to reveal transcriptional regulatory mechanisms, identify transcription factors, and discover gene functions. It can also be used to investigate changes in coexpression patterns in response to environmental insults or changes in experimental conditions. Maternal nutrition is considered a major intrauterine regulator of fetal developmental programming. The objective of this study was to investigate structural changes in gene coexpression networks in the muscle of bull beef calves gestated under diets with or without methionine supplementation. Both muscle transcriptome and methylome were evaluated using next generation sequencing.

resultsMaternal methionine supplementation significantly perturbed coexpression patterns in the offspring's muscle. Indeed, we found that neither the connection strength nor the connectivity pattern of six modules (subnetworks) detected in the control diet were preserved in the methionine-rich diet. Functional characterization revealed that some of the unpreserved modules are implicated in myogenesis, adipogenesis, fibrogenesis, canonical Wnt/β-catenin pathway, ribosome structure, rRNA binding and processing, mitochondrial activities, ATP synthesis and NAD(P) H oxidoreductases, among other functions. The bisulfite sequencing analysis showed that nearly 2% of all evaluated cytosines were differentially methylated between maternal diets. Interestingly, there were significant differences in the levels of gene body DNA methylation between preserved and unpreserved modules.

conclusionsOverall, our findings provide evidence that maternal nutrition can significantly alter gene coexpression patterns in the offspring, and some of these perturbations are mediated by changes in DNA methylation.

Indexed as

Prenatal Nutritional Physiological PhenomenaTranscriptomeAnimalsCattleDietFemaleGene Regulatory NetworksMaleMethionineMuscle DevelopmentMuscle, SkeletalPregnancyMethionineCorrelation networkFetal programmingMaternal dietMuscle transcriptome

Identifiers

PMID33008289
PMCPMC7531131
OpenAlexW3090255340

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.