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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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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 |
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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 |
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