Analyzing the expression of the transcriptome in adipose tissue of fat- and thin-tailed sheep

Significant efforts have been made to understand how fat deposition in sheep tail is regulated in genetic, transcriptomic, physiologic, biochemical, and metabolic levels in order to elucidate the complex mechanisms underlying the energy storage, lipid metabolism in adipose tissue, adaptability to harsh environments, and evolutionary domestication. Through RNA-seq data analysis, we are able to compare the gene expression of fat-tailed sheep versus thin-tailed sheep breeds in an acceptable resolution at transcriptome level. The purpose of this study was to compare the transcriptomes of Ghezel (fat-tailed) and Zel (thin-tailed) sheep. Total RNA from subcutaneous and tail tissue samples from healthy lambs was sequenced (150b PE) to identify differentially expressed genes (DEGs) between the two mentioned tissues and between the Ghezel and Zel sheep breeds. Further downstream pathway and network analyses were conducted afterwards. The results uncovered the association of the most important DEGs such as <i>CAV1, ALB</i>, and <i>SOCS3</i> with cellular signaling pathways of lipids metabolism. It seems that the <i>SOCS3</i> gene plays an important role in the differential deposition of lipid in the tails of two phenotypically different sheep breeds. Although the detail of gene expression in the tail and subcutaneous tissues of two morphologically different breeds was decoded here, to fully understand how differential expression of the <i>SOCS3</i> gene affects the fat synthesis, further studies are needed.

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Publication Details

Journal
Veterinary and Animal Science
Published
2024-08-12
DOI
https://doi.org/10.1016/j.vas.2024.100387
Citations
2
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.10
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article

Analyzing the expression of the transcriptome in adipose tissue of fat- and thin-tailed sheep

Maximilian Lackner, Karim Hasanpur, Valiollah Palangı, Sana Farhadi et al.
2 citations
Veterinary and Animal Science
Genetic and phenotypic traits in livestock
1.10
article

Analyzing the expression of the transcriptome in adipose tissue of fat- and thin-tailed sheep

Maximilian Lackner, Karim Hasanpur, Valiollah Palangı, Sana Farhadi, Jalil Shodja Ghias
article en
2 citations

Abstract

Significant efforts have been made to understand how fat deposition in sheep tail is regulated in genetic, transcriptomic, physiologic, biochemical, and metabolic levels in order to elucidate the complex mechanisms underlying the energy storage, lipid metabolism in adipose tissue, adaptability to harsh environments, and evolutionary domestication. Through RNA-seq data analysis, we are able to compare the gene expression of fat-tailed sheep versus thin-tailed sheep breeds in an acceptable resolution at transcriptome level. The purpose of this study was to compare the transcriptomes of Ghezel (fat-tailed) and Zel (thin-tailed) sheep. Total RNA from subcutaneous and tail tissue samples from healthy lambs was sequenced (150b PE) to identify differentially expressed genes (DEGs) between the two mentioned tissues and between the Ghezel and Zel sheep breeds. Further downstream pathway and network analyses were conducted afterwards. The results uncovered the association of the most important DEGs such as <i>CAV1, ALB</i>, and <i>SOCS3</i> with cellular signaling pathways of lipids metabolism. It seems that the <i>SOCS3</i> gene plays an important role in the differential deposition of lipid in the tails of two phenotypically different sheep breeds. Although the detail of gene expression in the tail and subcutaneous tissues of two morphologically different breeds was decoded here, to fully understand how differential expression of the <i>SOCS3</i> gene affects the fat synthesis, further studies are needed.

Veterinary and Animal ScienceVol. 25
University of Applied Sciences Technikum Wien (AT), Ege University (TR), University of Tabriz (IR)
Zero hunger
Openalex Percentile: Top 20%
Genetic and phenotypic traits in livestock
1.10
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