Evidence map›Paper›PMID 29695245›Full record

ArticleBMC genomics2018

Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL.

Elisabeth Le Bihan-Duval, Christelle Hennequet-Antier, Cécile Berri, Stéphane A Beauclercq, Marie Christine Bourin, Maryse Boulay, Olivier Demeure, Simon Boitard

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2018. 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
2.4field-weighted citation impact, top 11% 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.

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  6. Review
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  9. Chronological Expression ofAnimals : an open access journal from MDPI · 2021
    Article
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  11. Article
  12. Article
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  14. Predicting the Quality of Meat: Myth or Reality?Foods (Basel, Switzerland) · 2019
    Review
  15. 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

8 authors at 5 institutions in 2 countries.

Elisabeth Le Bihan-DuvalBOA, INRA, Université de Tours, 37380, Nouzilly, France. elisabeth.duval@inra.fr.ORCID http://orcid.org/0000-0002-0712-5549
Christelle Hennequet-AntierBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Cécile BerriBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Stéphane A BeauclercqBOA, INRA, Université de Tours, 37380, Nouzilly, France.
Marie Christine BourinInstitut Technique de l'Aviculture (ITAVI), Centre INRA Val de Loire, F-37380, Nouzilly, France.
Maryse BoulaySyndicat des Sélectionneurs Avicoles et Aquacoles Français (SYSAAF), Centre INRA Val de Loire, Unité de Recherches Avicoles, F-37380, Nouzilly, France.
Olivier DemeurePEGASE, Agrocampus Ouest, INRA, 35590,, Saint-Gilles, France.
Simon BoitardGenPhySE, Université de Toulouse, INRA, ENVT, 31320, Castanet Tolosan, France.
Université de Tours · FRÉcole Nationale Vétérinaire de Toulouse · FRInstitut Agro Rennes-Angers · FRInstitut Technique de l'Aviculture · FRSyndicat des Sélectionneurs Avicoles et Aquacoles Français · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe understanding of the biological determinism of meat ultimate pH, which is strongly related to muscle glycogen content, is a key point for the control of muscle integrity and meat quality in poultry. In the present study, we took advantage of a unique model of two broiler lines divergently selected for the ultimate pH of the pectoralis major muscle (PM-pHu) in order to decipher the genetic control of this trait. Two complementary approaches were used: detection of selection signatures generated during the first five generations and genome-wide association study for PM-pHu and Sartorius muscle pHu (SART-pHu) at the sixth generation of selection.

resultsSixty-three genomic regions showed significant signatures of positive selection. Out of the 10 most significant regions (detected by HapFLK or FLK method with a p-value below 1e-6), 4 were detected as soon as the first generation (G1) and were recovered at each of the four following ones (G2-G5). Another four corresponded to a later onset of selection as they were detected only at G5. In total, 33 SNPs, located in 24 QTL regions, were significantly associated with PM-pHu. For SART-pHu, we detected 18 SNPs located in 10 different regions. These results confirmed a polygenic determinism for these traits and highlighted two major QTL: one for PM-pHu on GGA1 (with a Bayes Factor (BF) of 300) and one for SART-pHu on GGA4 (with a BF of 257). Although selection signatures were enriched in QTL for PM-pHu, several QTL with strong effect haven't yet responded to selection, suggesting that the divergence between lines might be further increased.

conclusionsA few regions of major interest with significant selection signatures and/or strong association with PM-pHu or SART-pHu were evidenced for the first time in chicken. Their gene content suggests several candidates associated with diseases of glycogen storage in humans. The impact of these candidate genes on meat quality and muscle integrity should be further investigated in chicken.

Indexed as

GenomeQuantitative Trait LociAnimalsBayes TheoremChickensGenotypeGlycogenHydrogen-Ion ConcentrationMeatMuscle, SkeletalPectoralis MusclesGlycogenChickenMeat ultimate pHMuscle glycogenQTLSelection signatures

Identifiers

PMID29695245
PMCPMC5918591
OpenAlexW2805358835

What OpenQuestion holds

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LicenceCC BY
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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.