Evidence map›Paper›PMID 25609057›Full record

ArticleBMC genomics2015

A medium density genetic map and QTL for behavioral and production traits in Japanese quail.

Julien Recoquillay, Frédérique Pitel, Cécile Arnould, Sophie Leroux, Patrice Dehais, Carole Moréno, Ludovic Calandreau, Aline Bertin, David Gourichon, Olivier Bouchez and 6 more

Open access · goldAbstract read
In one paragraph

Article in BMC genomics, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
5.8field-weighted citation impact, top 4% 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

19 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Genome-Wide Association Studies in Japanese Quails of the FInternational journal of molecular sciences · 2025
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  18. Embryonic environment and transgenerational effects in quail.Genetics, selection, evolution : GSE · 2017
    Article
  19. 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

16 authors at 5 institutions in 1 country.

Julien RecoquillayINRA, UR83 Recherches Avicoles, F-37380, Nouzilly, France. Julien.Recoquillay@tours.inra.fr.
Frédérique PitelUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. frederique.pitel@toulouse.inra.fr.
Cécile ArnouldINRA, UMR85 Physiologie de la Reproduction et des Comportements, F-37380, Nouzilly, France. cecile.arnould@tours.inra.fr.
Sophie LerouxUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. Sophie.Leroux@toulouse.inra.fr.
Patrice DehaisUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. Patrice.Dehais@toulouse.inra.fr.
Carole MorénoUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. Carole.Moreno@toulouse.inra.fr.
Ludovic CalandreauINRA, UMR85 Physiologie de la Reproduction et des Comportements, F-37380, Nouzilly, France. Ludovic.Calandreau@tours.inra.fr.
Aline BertinINRA, UMR85 Physiologie de la Reproduction et des Comportements, F-37380, Nouzilly, France. Aline.Bertin@tours.inra.fr.
David GourichonUE1295 Pôle d'Expérimentation Avicole de Tours, F-37380, Nouzilly, France. David.Gourichon@tours.inra.fr.
Olivier BouchezUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. Olivier.Bouchez@toulouse.inra.fr.
Alain VignalUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. alain.vignal@toulouse.inra.fr.
Maria Ines FarielloUMR INRA/Génétique Physiologie et Systèmes d'Elevage, INRA, F-31326, Castanet-Tolosan, France. maine.fariello@gmail.com.
Francis MinvielleINRA, UMR1313 GABI Génétique Animale et Biologie Intégrative, F-78530, Jouy-en-Josas, France. francis_minvielle@hotmail.com.
Catherine BeaumontINRA, UR83 Recherches Avicoles, F-37380, Nouzilly, France. Catherine.Beaumont@tours.inra.fr.
Christine LeterrierINRA, UMR85 Physiologie de la Reproduction et des Comportements, F-37380, Nouzilly, France. Christine.Leterrier@tours.inra.fr.
Elisabeth Le Bihan-DuvalINRA, UR83 Recherches Avicoles, F-37380, Nouzilly, France. lebihan@tours.inra.fr.
Génétique Physiologie et Systèmes d'Elevage · FRBiologie des Oiseaux et Aviculture · FRPhysiologie de la Reproduction et des Comportements · FRInstitut National Polytechnique de Toulouse · FRGénétique Animale et Biologie Intégrative · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBehavioral traits such as sociability, emotional reactivity and aggressiveness are major factors in animal adaptation to breeding conditions. In order to investigate the genetic control of these traits as well as their relationships with production traits, a study was undertaken on a large second generation cross (F2) between two lines of Japanese Quail divergently selected on their social reinstatement behavior. All the birds were measured for several social behaviors (social reinstatement, response to social isolation, sexual motivation, aggression), behaviors measuring the emotional reactivity of the birds (reaction to an unknown object, tonic immobility reaction), and production traits (body weight and egg production).

resultsWe report the results of the first genome-wide QTL detection based on a medium density SNP panel obtained from whole genome sequencing of a pool of individuals from each divergent line. A genetic map was constructed using 2145 markers among which 1479 could be positioned on 28 different linkage groups. The sex-averaged linkage map spanned a total of 3057 cM with an average marker spacing of 2.1 cM. With the exception of a few regions, the marker order was the same in Japanese Quail and the chicken, which confirmed a well conserved synteny between the two species. The linkage analyses performed using QTLMAP software revealed a total of 45 QTLs related either to behavioral (23) or production (22) traits. The most numerous QTLs (15) concerned social motivation traits. Interestingly, our results pinpointed putative pleiotropic regions which controlled emotional reactivity and body-weight of birds (on CJA5 and CJA8) or their social motivation and the onset of egg laying (on CJA19).

conclusionThis study identified several QTL regions for social and emotional behaviors in the Quail. Further research will be needed to refine the QTL and confirm or refute the role of candidate genes, which were suggested by bioinformatics analysis. It can be hoped that the identification of genes and polymorphisms related to behavioral traits in the quail will have further applications for other poultry species (especially the chicken) and will contribute to solving animal welfare issues in poultry production.

Indexed as

Quantitative Trait LociAnimalsChickensChromosome MappingCoturnixGenetic LinkageGenomePolymorphism, Single NucleotideReproductionSequence Analysis, DNASexual Behavior, AnimalSocial Behavior

Identifiers

PMID25609057
PMCPMC4307178
OpenAlexW2049432953

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.