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Assessment the effect of genomic selection and detection of selective signature in broilers

Due to high selection advances and shortened generation interval, genomic selection (GS) is now an effective animal breeding scheme. In broilers, many studies have compared the accuracy of different GS prediction methods, but few reports have demonstrated phenotypic or genetic changes using GS. In t...

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Autores principales: Tan, Xiaodong, Liu, Ranran, Li, Wei, Zheng, Maiqing, Zhu, Dan, Liu, Dawei, Feng, Furong, Li, Qinghe, Liu, Li, Wen, Jie, Zhao, Guiping
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018145/
https://www.ncbi.nlm.nih.gov/pubmed/35413593
http://dx.doi.org/10.1016/j.psj.2022.101856
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author Tan, Xiaodong
Liu, Ranran
Li, Wei
Zheng, Maiqing
Zhu, Dan
Liu, Dawei
Feng, Furong
Li, Qinghe
Liu, Li
Wen, Jie
Zhao, Guiping
author_facet Tan, Xiaodong
Liu, Ranran
Li, Wei
Zheng, Maiqing
Zhu, Dan
Liu, Dawei
Feng, Furong
Li, Qinghe
Liu, Li
Wen, Jie
Zhao, Guiping
author_sort Tan, Xiaodong
collection PubMed
description Due to high selection advances and shortened generation interval, genomic selection (GS) is now an effective animal breeding scheme. In broilers, many studies have compared the accuracy of different GS prediction methods, but few reports have demonstrated phenotypic or genetic changes using GS. In this study, the paternal chicken line B underwent continuous selection for 3 generations. The chicken 55 k SNP chip was used to estimate the genetic parameters and detect genomic response regions by selective sweep analysis. The heritability for body weight (BW), meat production, and abdominal fat traits were ranged from 0.12 to 0.38. A high genetic correlation was found between BW and meat production traits, while a low genetic correlation (<0.1) was found between meat production and abdominal fat traits. Selection resulted in an increase of about 516 g in BW and 140 g in breast muscle weight. Percentage of breast muscle and whole thigh were increased 0.8 to 1.5%. No change was observed in abdominal fat percentage. The genomic estimated breeding value advances was positive for BW and meat production (except whole thigh percentage), while negative for abdominal fat percentage. By selective sweep analysis, 39 common chromosomal regions and 102 protein coding genes were found to be influenced, including MYH1A, MYH1B, and MYH1D of the MYH gene family. Tight junction pathway as well as myosin complex related terms were enriched. This study demonstrates the effective use of GS for improvements in BW and meat production in chicken line B. Further, genomic regions, responsive to intensive genetic selection, were identified to contain genes of the MYH family.
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spelling pubmed-90181452022-04-20 Assessment the effect of genomic selection and detection of selective signature in broilers Tan, Xiaodong Liu, Ranran Li, Wei Zheng, Maiqing Zhu, Dan Liu, Dawei Feng, Furong Li, Qinghe Liu, Li Wen, Jie Zhao, Guiping Poult Sci GENETICS AND MOLECULAR BIOLOGY Due to high selection advances and shortened generation interval, genomic selection (GS) is now an effective animal breeding scheme. In broilers, many studies have compared the accuracy of different GS prediction methods, but few reports have demonstrated phenotypic or genetic changes using GS. In this study, the paternal chicken line B underwent continuous selection for 3 generations. The chicken 55 k SNP chip was used to estimate the genetic parameters and detect genomic response regions by selective sweep analysis. The heritability for body weight (BW), meat production, and abdominal fat traits were ranged from 0.12 to 0.38. A high genetic correlation was found between BW and meat production traits, while a low genetic correlation (<0.1) was found between meat production and abdominal fat traits. Selection resulted in an increase of about 516 g in BW and 140 g in breast muscle weight. Percentage of breast muscle and whole thigh were increased 0.8 to 1.5%. No change was observed in abdominal fat percentage. The genomic estimated breeding value advances was positive for BW and meat production (except whole thigh percentage), while negative for abdominal fat percentage. By selective sweep analysis, 39 common chromosomal regions and 102 protein coding genes were found to be influenced, including MYH1A, MYH1B, and MYH1D of the MYH gene family. Tight junction pathway as well as myosin complex related terms were enriched. This study demonstrates the effective use of GS for improvements in BW and meat production in chicken line B. Further, genomic regions, responsive to intensive genetic selection, were identified to contain genes of the MYH family. Elsevier 2022-03-12 /pmc/articles/PMC9018145/ /pubmed/35413593 http://dx.doi.org/10.1016/j.psj.2022.101856 Text en © 2022 Published by Elsevier Inc. on behalf of Poultry Science Association Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle GENETICS AND MOLECULAR BIOLOGY
Tan, Xiaodong
Liu, Ranran
Li, Wei
Zheng, Maiqing
Zhu, Dan
Liu, Dawei
Feng, Furong
Li, Qinghe
Liu, Li
Wen, Jie
Zhao, Guiping
Assessment the effect of genomic selection and detection of selective signature in broilers
title Assessment the effect of genomic selection and detection of selective signature in broilers
title_full Assessment the effect of genomic selection and detection of selective signature in broilers
title_fullStr Assessment the effect of genomic selection and detection of selective signature in broilers
title_full_unstemmed Assessment the effect of genomic selection and detection of selective signature in broilers
title_short Assessment the effect of genomic selection and detection of selective signature in broilers
title_sort assessment the effect of genomic selection and detection of selective signature in broilers
topic GENETICS AND MOLECULAR BIOLOGY
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9018145/
https://www.ncbi.nlm.nih.gov/pubmed/35413593
http://dx.doi.org/10.1016/j.psj.2022.101856
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