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Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep
In the genetic improvement of livestock and poultry, residual feed intake (RFI) is an important economic trait. However, in sheep, the genetic regulatory mechanisms of RFI are unclear. In the present study, we measured the feed efficiency (FE)-related phenotypes of 137 male Hu lambs, and selected si...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878960/ https://www.ncbi.nlm.nih.gov/pubmed/31798641 http://dx.doi.org/10.3389/fgene.2019.01183 |
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author | Zhang, Deyin Zhang, Xiaoxue Li, Fadi Li, Chong La, Yongfu Mo, Futao Li, Guoze Zhang, Yukun Li, Xiaolong Song, Qizhi Zhao, Yuan Wang, Weimin |
author_facet | Zhang, Deyin Zhang, Xiaoxue Li, Fadi Li, Chong La, Yongfu Mo, Futao Li, Guoze Zhang, Yukun Li, Xiaolong Song, Qizhi Zhao, Yuan Wang, Weimin |
author_sort | Zhang, Deyin |
collection | PubMed |
description | In the genetic improvement of livestock and poultry, residual feed intake (RFI) is an important economic trait. However, in sheep, the genetic regulatory mechanisms of RFI are unclear. In the present study, we measured the feed efficiency (FE)-related phenotypes of 137 male Hu lambs, and selected six lambs with very high (n = 3) and very low (n = 3) RFI values and analyzed their liver transcriptomes. A total of 101 differentially expressed genes were identified, of which 40 were upregulated and 61 were downregulated in the low-RFI group compared with that in the high-RFI group. The downregulated genes were mainly concentrated in immune function pathways, while the upregulated genes were mainly involved in energy metabolism pathways. Two differentially expressed genes, ADRA2A (encoding adrenoceptor alpha 2A) and RYR2 (ryanodine receptor 2), were selected as candidate genes for FE and subjected to single nucleotide polymorphism scanning and association analysis. Two synonymous mutations, ADRA2A g.1429 C > A and RYR2 g.1117 A > C, were detected, which were both significantly associated with the feed conversion rate. These findings provide a deeper understanding of the molecular mechanisms regulating FE, and reveal key genes and genetic variants that could be used to genetically improve FE in sheep. |
format | Online Article Text |
id | pubmed-6878960 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68789602019-12-03 Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep Zhang, Deyin Zhang, Xiaoxue Li, Fadi Li, Chong La, Yongfu Mo, Futao Li, Guoze Zhang, Yukun Li, Xiaolong Song, Qizhi Zhao, Yuan Wang, Weimin Front Genet Genetics In the genetic improvement of livestock and poultry, residual feed intake (RFI) is an important economic trait. However, in sheep, the genetic regulatory mechanisms of RFI are unclear. In the present study, we measured the feed efficiency (FE)-related phenotypes of 137 male Hu lambs, and selected six lambs with very high (n = 3) and very low (n = 3) RFI values and analyzed their liver transcriptomes. A total of 101 differentially expressed genes were identified, of which 40 were upregulated and 61 were downregulated in the low-RFI group compared with that in the high-RFI group. The downregulated genes were mainly concentrated in immune function pathways, while the upregulated genes were mainly involved in energy metabolism pathways. Two differentially expressed genes, ADRA2A (encoding adrenoceptor alpha 2A) and RYR2 (ryanodine receptor 2), were selected as candidate genes for FE and subjected to single nucleotide polymorphism scanning and association analysis. Two synonymous mutations, ADRA2A g.1429 C > A and RYR2 g.1117 A > C, were detected, which were both significantly associated with the feed conversion rate. These findings provide a deeper understanding of the molecular mechanisms regulating FE, and reveal key genes and genetic variants that could be used to genetically improve FE in sheep. Frontiers Media S.A. 2019-11-19 /pmc/articles/PMC6878960/ /pubmed/31798641 http://dx.doi.org/10.3389/fgene.2019.01183 Text en Copyright © 2019 Zhang, Zhang, Li, Li, La, Mo, Li, Zhang, Li, Song, Zhao and Wang http://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 | Genetics Zhang, Deyin Zhang, Xiaoxue Li, Fadi Li, Chong La, Yongfu Mo, Futao Li, Guoze Zhang, Yukun Li, Xiaolong Song, Qizhi Zhao, Yuan Wang, Weimin Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title | Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title_full | Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title_fullStr | Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title_full_unstemmed | Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title_short | Transcriptome Analysis Identifies Candidate Genes and Pathways Associated With Feed Efficiency in Hu Sheep |
title_sort | transcriptome analysis identifies candidate genes and pathways associated with feed efficiency in hu sheep |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6878960/ https://www.ncbi.nlm.nih.gov/pubmed/31798641 http://dx.doi.org/10.3389/fgene.2019.01183 |
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