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Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis

INTRODUCTION: Excessive fat deposition in chickens can lead to reduced feed utilization and meat quality, resulting in significant economic losses for the broiler industry. Therefore, reducing fat deposition has become an important breeding objective in addition to achieving high broiler weight, gro...

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Autores principales: Ye, Mao, Fan, Zhexia, Xu, Yuhang, Luan, Kang, Guo, Lijin, Zhang, Siyu, Luo, Qingbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205986/
https://www.ncbi.nlm.nih.gov/pubmed/37234072
http://dx.doi.org/10.3389/fvets.2023.1180797
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author Ye, Mao
Fan, Zhexia
Xu, Yuhang
Luan, Kang
Guo, Lijin
Zhang, Siyu
Luo, Qingbin
author_facet Ye, Mao
Fan, Zhexia
Xu, Yuhang
Luan, Kang
Guo, Lijin
Zhang, Siyu
Luo, Qingbin
author_sort Ye, Mao
collection PubMed
description INTRODUCTION: Excessive fat deposition in chickens can lead to reduced feed utilization and meat quality, resulting in significant economic losses for the broiler industry. Therefore, reducing fat deposition has become an important breeding objective in addition to achieving high broiler weight, growth rate, and feed conversion efficiency. In our previous studies, we observed high expression of Regulators of G Protein Signaling 16 Gene (RGS16) in high-fat individuals. This led us to speculate that RGS16 might be involved in the process of fat deposition in chickens. METHODS: Thus, we conducted a polymorphism and functional analysis of the RGS16 gene to investigate its association with fat-related phenotypic traits in chickens. Using a mixed linear model (MLM), this study explored the relationship between RGS16 gene polymorphisms and fat-related traits for the first time. We identified 30 SNPs of RGS16 in a population of Wens Sanhuang chickens, among which 8 SNPs were significantly associated with fat-related traits, including sebum thickness (ST), abdominal fat weight (AFW), and abdominal fat weight (AFR). Furthermore, our findings demonstrated that AFW, AFR, and ST showed significant associations with at least two or more out of the eight identified SNPs of RGS16. We also validated the role of RGS16 in ICP-1 cells through various experimental methods, including RT-qPCR, CCK- 8, EdU assays, and oil red O staining. RESULTS: Our functional validation experiments showed that RGS16 was highly expressed in the abdominal adipose tissue of high-fat chickens and played a critical role in the regulation of fat deposition by promoting preadipocyte differentiation and inhibiting their proliferation. Taken together, our findings suggest that RGS16 polymorphisms are associated with fat-related traits in chickens. Moreover, the ectopic expression of RGS16 could inhibit preadipocyte proliferation but promote preadipocyte differentiation. DISCUSSION: Based on our current findings, we propose that the RGS16 gene could serve as a powerful genetic marker for marker-assisted breeding of chicken fat-related traits.
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spelling pubmed-102059862023-05-25 Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis Ye, Mao Fan, Zhexia Xu, Yuhang Luan, Kang Guo, Lijin Zhang, Siyu Luo, Qingbin Front Vet Sci Veterinary Science INTRODUCTION: Excessive fat deposition in chickens can lead to reduced feed utilization and meat quality, resulting in significant economic losses for the broiler industry. Therefore, reducing fat deposition has become an important breeding objective in addition to achieving high broiler weight, growth rate, and feed conversion efficiency. In our previous studies, we observed high expression of Regulators of G Protein Signaling 16 Gene (RGS16) in high-fat individuals. This led us to speculate that RGS16 might be involved in the process of fat deposition in chickens. METHODS: Thus, we conducted a polymorphism and functional analysis of the RGS16 gene to investigate its association with fat-related phenotypic traits in chickens. Using a mixed linear model (MLM), this study explored the relationship between RGS16 gene polymorphisms and fat-related traits for the first time. We identified 30 SNPs of RGS16 in a population of Wens Sanhuang chickens, among which 8 SNPs were significantly associated with fat-related traits, including sebum thickness (ST), abdominal fat weight (AFW), and abdominal fat weight (AFR). Furthermore, our findings demonstrated that AFW, AFR, and ST showed significant associations with at least two or more out of the eight identified SNPs of RGS16. We also validated the role of RGS16 in ICP-1 cells through various experimental methods, including RT-qPCR, CCK- 8, EdU assays, and oil red O staining. RESULTS: Our functional validation experiments showed that RGS16 was highly expressed in the abdominal adipose tissue of high-fat chickens and played a critical role in the regulation of fat deposition by promoting preadipocyte differentiation and inhibiting their proliferation. Taken together, our findings suggest that RGS16 polymorphisms are associated with fat-related traits in chickens. Moreover, the ectopic expression of RGS16 could inhibit preadipocyte proliferation but promote preadipocyte differentiation. DISCUSSION: Based on our current findings, we propose that the RGS16 gene could serve as a powerful genetic marker for marker-assisted breeding of chicken fat-related traits. Frontiers Media S.A. 2023-05-10 /pmc/articles/PMC10205986/ /pubmed/37234072 http://dx.doi.org/10.3389/fvets.2023.1180797 Text en Copyright © 2023 Ye, Fan, Xu, Luan, Guo, Zhang and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Veterinary Science
Ye, Mao
Fan, Zhexia
Xu, Yuhang
Luan, Kang
Guo, Lijin
Zhang, Siyu
Luo, Qingbin
Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title_full Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title_fullStr Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title_full_unstemmed Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title_short Exploring the association between fat-related traits in chickens and the RGS16 gene: insights from polymorphism and functional validation analysis
title_sort exploring the association between fat-related traits in chickens and the rgs16 gene: insights from polymorphism and functional validation analysis
topic Veterinary Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205986/
https://www.ncbi.nlm.nih.gov/pubmed/37234072
http://dx.doi.org/10.3389/fvets.2023.1180797
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