Cargando…

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

BACKGROUND: The 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 diverg...

Descripción completa

Detalles Bibliográficos
Autores principales: Bihan-Duval, Elisabeth Le, Hennequet-Antier, Christelle, Berri, Cécile, Beauclercq, Stéphane A., Bourin, Marie Christine, Boulay, Maryse, Demeure, Olivier, Boitard, Simon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918591/
https://www.ncbi.nlm.nih.gov/pubmed/29695245
http://dx.doi.org/10.1186/s12864-018-4690-1
_version_ 1783317450465476608
author Bihan-Duval, Elisabeth Le
Hennequet-Antier, Christelle
Berri, Cécile
Beauclercq, Stéphane A.
Bourin, Marie Christine
Boulay, Maryse
Demeure, Olivier
Boitard, Simon
author_facet Bihan-Duval, Elisabeth Le
Hennequet-Antier, Christelle
Berri, Cécile
Beauclercq, Stéphane A.
Bourin, Marie Christine
Boulay, Maryse
Demeure, Olivier
Boitard, Simon
author_sort Bihan-Duval, Elisabeth Le
collection PubMed
description BACKGROUND: The 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. RESULTS: Sixty-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. CONCLUSIONS: A 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4690-1) contains supplementary material, which is available to authorized users.
format Online
Article
Text
id pubmed-5918591
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-59185912018-04-30 Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL Bihan-Duval, Elisabeth Le Hennequet-Antier, Christelle Berri, Cécile Beauclercq, Stéphane A. Bourin, Marie Christine Boulay, Maryse Demeure, Olivier Boitard, Simon BMC Genomics Research Article BACKGROUND: The 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. RESULTS: Sixty-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. CONCLUSIONS: A 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12864-018-4690-1) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-25 /pmc/articles/PMC5918591/ /pubmed/29695245 http://dx.doi.org/10.1186/s12864-018-4690-1 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Bihan-Duval, Elisabeth Le
Hennequet-Antier, Christelle
Berri, Cécile
Beauclercq, Stéphane A.
Bourin, Marie Christine
Boulay, Maryse
Demeure, Olivier
Boitard, Simon
Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title_full Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title_fullStr Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title_full_unstemmed Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title_short Identification of genomic regions and candidate genes for chicken meat ultimate pH by combined detection of selection signatures and QTL
title_sort identification of genomic regions and candidate genes for chicken meat ultimate ph by combined detection of selection signatures and qtl
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5918591/
https://www.ncbi.nlm.nih.gov/pubmed/29695245
http://dx.doi.org/10.1186/s12864-018-4690-1
work_keys_str_mv AT bihanduvalelisabethle identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT hennequetantierchristelle identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT berricecile identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT beauclercqstephanea identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT bourinmariechristine identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT boulaymaryse identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT demeureolivier identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl
AT boitardsimon identificationofgenomicregionsandcandidategenesforchickenmeatultimatephbycombineddetectionofselectionsignaturesandqtl