Evidence map›Paper›PMID 28814270›Full record

ArticleBMC genomics2017

Transcriptional analysis of abdominal fat in chickens divergently selected on bodyweight at two ages reveals novel mechanisms controlling adiposity: validating visceral adipose tissue as a dynamic endocrine and metabolic organ.

C W Resnyk, W Carré, X Wang, T E Porter, J Simon, E Le Bihan-Duval, M J Duclos, S E Aggrey, L A Cogburn

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
7.0field-weighted citation impact, top 3% 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

34 citing papers in PubMed, 77 citations in OpenAlex.

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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

9 authors at 5 institutions in 3 countries.

C W ResnykDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
W CarréDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
X WangDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA.
T E PorterDepartment of Animal and Avian Sciences, University of Maryland, College Park, MD, 20742, USA.
J SimonUR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France.
E Le Bihan-DuvalUR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France.
M J DuclosUR83 Recherches Avicoles, Institut National de la Recherche Agronomique (INRA), F-37380, Nouzilly, France.
S E AggreyDepartment of Poultry Science, University of Georgia, Athens, GA, 30602, USA.
L A CogburnDepartment of Animal and Food Sciences, University of Delaware, Newark, DE, 19716, USA. cogburn@udel.edu.
University of Delaware · USInfectiologie Animale et Santé Publique · FRPhysiologie de la Reproduction et des Comportements · FRUniversity of Georgia · USUniversity of Maryland, College Park · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDecades of intensive genetic selection in the domestic chicken (Gallus gallus domesticus) have enabled the remarkable rapid growth of today's broiler (meat-type) chickens. However, this enhanced growth rate was accompanied by several unfavorable traits (i.e., increased visceral fatness, leg weakness, and disorders of metabolism and reproduction). The present descriptive analysis of the abdominal fat transcriptome aimed to identify functional genes and biological pathways that likely contribute to an extreme difference in visceral fatness of divergently selected broiler chickens.

methodsWe used the Del-Mar 14 K Chicken Integrated Systems microarray to take time-course snapshots of global gene transcription in abdominal fat of juvenile [1-11 weeks of age (wk)] chickens divergently selected on bodyweight at two ages (8 and 36 wk). Further, a RNA sequencing analysis was completed on the same abdominal fat samples taken from high-growth (HG) and low-growth (LG) cockerels at 7 wk, the age with the greatest divergence in body weight (3.2-fold) and visceral fatness (19.6-fold).

resultsTime-course microarray analysis revealed 312 differentially expressed genes (FDR ≤ 0.05) as the main effect of genotype (HG versus LG), 718 genes in the interaction of age and genotype, and 2918 genes as the main effect of age. The RNA sequencing analysis identified 2410 differentially expressed genes in abdominal fat of HG versus LG chickens at 7 wk. The HG chickens are fatter and over-express numerous genes that support higher rates of visceral adipogenesis and lipogenesis. In abdominal fat of LG chickens, we found higher expression of many genes involved in hemostasis, energy catabolism and endocrine signaling, which likely contribute to their leaner phenotype and slower growth. Many transcription factors and their direct target genes identified in HG and LG chickens could be involved in their divergence in adiposity and growth rate.

conclusionsThe present analyses of the visceral fat transcriptome in chickens divergently selected for a large difference in growth rate and abdominal fatness clearly demonstrate that abdominal fat is a very dynamic metabolic and endocrine organ in the chicken. The HG chickens overexpress many transcription factors and their direct target genes, which should enhance in situ lipogenesis and ultimately adiposity. Our observation of enhanced expression of hemostasis and endocrine-signaling genes in diminished abdominal fat of LG cockerels provides insight into genetic mechanisms involved in divergence of abdominal fatness and somatic growth in avian and perhaps mammalian species, including humans.

Indexed as

Transcription, GeneticAdiposityAgingAnimalsBody WeightChickensEndocrine SystemGene Expression ProfilingGene Regulatory NetworksIntra-Abdominal FatOligonucleotide Array Sequence AnalysisPhenotypeSequence Analysis, RNAAdiposityDivergent genetic selectionEndocrine signalingGene expressionHemostasis genesLipogenesisMicroarray analysisRNA-Seq analysisTranscriptional regulation

Identifiers

PMID28814270
PMCPMC5559791
OpenAlexW2747145147

What OpenQuestion holds

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LicenceCC BY
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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.