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Analysis of liver miRNA in Hu sheep with different residual feed intake

Feed efficiency (FE), an important economic trait in sheep production, is indirectly assessed by residual feed intake (RFI). However, RFI in sheep is varied, and the molecular processes that regulate RFI are unclear. It is thus vital to investigate the molecular mechanism of RFI to developing a feed...

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Autores principales: Lin, Changchun, Wang, Weimin, Zhang, Deyin, Huang, Kai, Zhang, Yukun, Li, Xiaolong, Zhao, Yuan, Zhao, Liming, Wang, Jianghui, Zhou, Bubo, Cheng, Jiangbo, Xu, Dan, Li, Wenxin, Zhang, Xiaoxue, Zheng, Wenxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620975/
https://www.ncbi.nlm.nih.gov/pubmed/37928243
http://dx.doi.org/10.3389/fgene.2023.1113411
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author Lin, Changchun
Wang, Weimin
Zhang, Deyin
Huang, Kai
Zhang, Yukun
Li, Xiaolong
Zhao, Yuan
Zhao, Liming
Wang, Jianghui
Zhou, Bubo
Cheng, Jiangbo
Xu, Dan
Li, Wenxin
Zhang, Xiaoxue
Zheng, Wenxin
author_facet Lin, Changchun
Wang, Weimin
Zhang, Deyin
Huang, Kai
Zhang, Yukun
Li, Xiaolong
Zhao, Yuan
Zhao, Liming
Wang, Jianghui
Zhou, Bubo
Cheng, Jiangbo
Xu, Dan
Li, Wenxin
Zhang, Xiaoxue
Zheng, Wenxin
author_sort Lin, Changchun
collection PubMed
description Feed efficiency (FE), an important economic trait in sheep production, is indirectly assessed by residual feed intake (RFI). However, RFI in sheep is varied, and the molecular processes that regulate RFI are unclear. It is thus vital to investigate the molecular mechanism of RFI to developing a feed-efficient sheep. The miRNA-sequencing (RNA-Seq) was utilized to investigate miRNAs in liver tissue of 6 out of 137 sheep with extreme RFI phenotypic values. In these animals, as a typical metric of FE, RFI was used to distinguish differentially expressed miRNAs (DE_miRNAs) between animals with high (n = 3) and low (n = 3) phenotypic values. A total of 247 miRNAs were discovered in sheep, with four differentially expressed miRNAs (DE_miRNAs) detected. Among these DE_miRNAs, three were found to be upregulated and one was downregulated in animals with low residual feed intake (Low_RFI) compared to those with high residual feed intake (High_RFI). The target genes of DE_miRNAs were primarily associated with metabolic processes and biosynthetic process regulation. Furthermore, they were also considerably enriched in the FE related to glycolysis, protein synthesis and degradation, and amino acid biosynthesis pathways. Six genes were identified by co-expression analysis of DE_miRNAs target with DE_mRNAs. These results provide a theoretical basis for us to understand the sheep liver miRNAs in RFI molecular regulation.
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spelling pubmed-106209752023-11-03 Analysis of liver miRNA in Hu sheep with different residual feed intake Lin, Changchun Wang, Weimin Zhang, Deyin Huang, Kai Zhang, Yukun Li, Xiaolong Zhao, Yuan Zhao, Liming Wang, Jianghui Zhou, Bubo Cheng, Jiangbo Xu, Dan Li, Wenxin Zhang, Xiaoxue Zheng, Wenxin Front Genet Genetics Feed efficiency (FE), an important economic trait in sheep production, is indirectly assessed by residual feed intake (RFI). However, RFI in sheep is varied, and the molecular processes that regulate RFI are unclear. It is thus vital to investigate the molecular mechanism of RFI to developing a feed-efficient sheep. The miRNA-sequencing (RNA-Seq) was utilized to investigate miRNAs in liver tissue of 6 out of 137 sheep with extreme RFI phenotypic values. In these animals, as a typical metric of FE, RFI was used to distinguish differentially expressed miRNAs (DE_miRNAs) between animals with high (n = 3) and low (n = 3) phenotypic values. A total of 247 miRNAs were discovered in sheep, with four differentially expressed miRNAs (DE_miRNAs) detected. Among these DE_miRNAs, three were found to be upregulated and one was downregulated in animals with low residual feed intake (Low_RFI) compared to those with high residual feed intake (High_RFI). The target genes of DE_miRNAs were primarily associated with metabolic processes and biosynthetic process regulation. Furthermore, they were also considerably enriched in the FE related to glycolysis, protein synthesis and degradation, and amino acid biosynthesis pathways. Six genes were identified by co-expression analysis of DE_miRNAs target with DE_mRNAs. These results provide a theoretical basis for us to understand the sheep liver miRNAs in RFI molecular regulation. Frontiers Media S.A. 2023-10-19 /pmc/articles/PMC10620975/ /pubmed/37928243 http://dx.doi.org/10.3389/fgene.2023.1113411 Text en Copyright © 2023 Lin, Wang, Zhang, Huang, Zhang, Li, Zhao, Zhao, Wang, Zhou, Cheng, Xu, Li, Zhang and Zheng. 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 Genetics
Lin, Changchun
Wang, Weimin
Zhang, Deyin
Huang, Kai
Zhang, Yukun
Li, Xiaolong
Zhao, Yuan
Zhao, Liming
Wang, Jianghui
Zhou, Bubo
Cheng, Jiangbo
Xu, Dan
Li, Wenxin
Zhang, Xiaoxue
Zheng, Wenxin
Analysis of liver miRNA in Hu sheep with different residual feed intake
title Analysis of liver miRNA in Hu sheep with different residual feed intake
title_full Analysis of liver miRNA in Hu sheep with different residual feed intake
title_fullStr Analysis of liver miRNA in Hu sheep with different residual feed intake
title_full_unstemmed Analysis of liver miRNA in Hu sheep with different residual feed intake
title_short Analysis of liver miRNA in Hu sheep with different residual feed intake
title_sort analysis of liver mirna in hu sheep with different residual feed intake
topic Genetics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10620975/
https://www.ncbi.nlm.nih.gov/pubmed/37928243
http://dx.doi.org/10.3389/fgene.2023.1113411
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