Whole-Genome Resequencing Identifies Candidate Genes for Tail Fat Deposition in Sheep

Excessive adipose tissue accumulation in sheep disrupts insulin signaling, inducing insulin resistance, and alters energy partitioning mechanisms. These changes adversely affect both ovine health and production efficiency. This study employed whole-genome resequencing to conduct selection signal analysis in long-fat-tailed (Lanzhou fat-tailed sheep) and short-fat-tailed (Hu sheep) breeds, investigating the genetic basis underlying divergent lipid metabolism-related traits between these distinct tail phenotypes. Fifteen healthy adult individuals, each from long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, underwent whole-genome resequencing. Whole-genome resequencing analyses via F<sub>ST</sub>, XP-CLR, and XP-EHH identified 75 significantly selected regions (<i>p</i> < 0.01), revealing eight key candidate genes (<i>DAB1</i>, <i>DPP10</i>, <i>EPHA6</i>, <i>GPC5</i>, <i>KLF12</i>, <i>PAK7</i>, <i>PTPN3</i>, <i>TENM3</i>). Subsequent functional enrichment analysis demonstrated significant enrichment of <i>DAB1</i> and <i>GPC5</i> in lipid metabolic processes (GO:0006629). Employing whole-genome resequencing-based selection signal analysis in long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, this study identified two key lipid metabolism-associated genes (<i>DAB1</i> and <i>GPC5</i>). These findings provide critical insights for conserving genetic resources and informing molecular breeding strategies targeting divergent tail phenotypes.

Authors

Institutions

Publication Details

Journal
Animals
Published
2025-10-20
DOI
https://doi.org/10.3390/ani15203046
Citations
1
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
1.82
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Whole-Genome Resequencing Identifies Candidate Genes for Tail Fat Deposition in Sheep

Derong Zhang, Yongqing Zhao, Penghui Guo, Qiongyi Li et al.
1 citations
Animals
Genetic and phenotypic traits in livestock
1.82
article

Whole-Genome Resequencing Identifies Candidate Genes for Tail Fat Deposition in Sheep

Derong Zhang, Yongqing Zhao, Penghui Guo, Qiongyi Li, Xin Cao, Yong Cai, Jialin Bai, Xiaowen Zhang, Hongwei Xu, Xiaoxia Ma, Yufei Li
article en
1 citations

Abstract

Excessive adipose tissue accumulation in sheep disrupts insulin signaling, inducing insulin resistance, and alters energy partitioning mechanisms. These changes adversely affect both ovine health and production efficiency. This study employed whole-genome resequencing to conduct selection signal analysis in long-fat-tailed (Lanzhou fat-tailed sheep) and short-fat-tailed (Hu sheep) breeds, investigating the genetic basis underlying divergent lipid metabolism-related traits between these distinct tail phenotypes. Fifteen healthy adult individuals, each from long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, underwent whole-genome resequencing. Whole-genome resequencing analyses via F<sub>ST</sub>, XP-CLR, and XP-EHH identified 75 significantly selected regions (<i>p</i> < 0.01), revealing eight key candidate genes (<i>DAB1</i>, <i>DPP10</i>, <i>EPHA6</i>, <i>GPC5</i>, <i>KLF12</i>, <i>PAK7</i>, <i>PTPN3</i>, <i>TENM3</i>). Subsequent functional enrichment analysis demonstrated significant enrichment of <i>DAB1</i> and <i>GPC5</i> in lipid metabolic processes (GO:0006629). Employing whole-genome resequencing-based selection signal analysis in long-fat-tailed (Lanzhou Large-tailed sheep) and short-fat-tailed (Hu sheep) breeds, this study identified two key lipid metabolism-associated genes (<i>DAB1</i> and <i>GPC5</i>). These findings provide critical insights for conserving genetic resources and informing molecular breeding strategies targeting divergent tail phenotypes.

AnimalsVol. 15(20)
Minzu University of China (CN), Gansu Agricultural University (CN), Shandong Institute of Food and Drug Inspection (CN)
Openalex Percentile: Top 12%
Genetic and phenotypic traits in livestock
1.82
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.