Deciphering the Regulatory Network of Tail Fat Deposition in Large- and Small-Tailed Han Sheep Through Transcriptome and MicroRNAome Profiling

Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an ideal model for elucidating lipid metabolism regulation. Integrated sRNA-Seq and RNA-Seq analysis identified 521 differentially expressed genes and 144 miRNAs, which were significantly enriched in lipid metabolism pathways, including fatty acid metabolism and PPAR signaling. Key candidate genes (<i>ADIRF</i>, <i>LPL</i>, <i>ACSL5</i>) were highlighted as pivotal regulators. Additionally, 23 miRNA-mRNA regulatory networks were constructed, revealing complex interaction patterns from 'one-to-one' to 'many-to-one' relationships. For example, six miRNAs collectively targeted <i>LTA4H</i>. Collectively, this study advances understanding of the genetic network underlying tail fat deposition and provides candidate targets for modulating lipid metabolism. Functional validation is warranted to delineate causal mechanisms.

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Publication Details

Journal
Biology
Published
2026-01-19
DOI
https://doi.org/10.3390/biology15020179
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Deciphering the Regulatory Network of Tail Fat Deposition in Large- and Small-Tailed Han Sheep Through Transcriptome and MicroRNAome Profiling

Jingyi Gao, Zhaohua He, Menghan Chang, S. H. Zhang et al.
Biology
Genetic and phenotypic traits in livestock
article

Deciphering the Regulatory Network of Tail Fat Deposition in Large- and Small-Tailed Han Sheep Through Transcriptome and MicroRNAome Profiling

Jingyi Gao, Zhaohua He, Menghan Chang, S. H. Zhang, Guangli Yang, Dandan Ye, Fangfang Zhao, Wei Han, Liming Tian, Guan Wang
article en

Abstract

Tail fat deposition constitutes a distinctive adaptive phenotype in sheep. The Large-tailed Han (LTH) and Small-tailed Han (STH) breeds display pronounced divergence in tail fat storage, offering an ideal model for elucidating lipid metabolism regulation. Integrated sRNA-Seq and RNA-Seq analysis identified 521 differentially expressed genes and 144 miRNAs, which were significantly enriched in lipid metabolism pathways, including fatty acid metabolism and PPAR signaling. Key candidate genes (<i>ADIRF</i>, <i>LPL</i>, <i>ACSL5</i>) were highlighted as pivotal regulators. Additionally, 23 miRNA-mRNA regulatory networks were constructed, revealing complex interaction patterns from 'one-to-one' to 'many-to-one' relationships. For example, six miRNAs collectively targeted <i>LTA4H</i>. Collectively, this study advances understanding of the genetic network underlying tail fat deposition and provides candidate targets for modulating lipid metabolism. Functional validation is warranted to delineate causal mechanisms.

BiologyVol. 15(2)
Gansu Agricultural University (CN), Henan Agricultural University (CN), Shangqiu Normal University (CN)
Openalex Percentile: Top 86%
Genetic and phenotypic traits in livestock
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