A Global Structural Variation Map Reveals Novel Variants for Body Conformation and Racing Ability in Horses

The selection of horses has been instrumental in shaping long-range mobility, advancing warfare strategies, and diversifying equine phenotypes. However, the structural variants (SVs) favored by this process remain largely unexplored. Utilizing high-fidelity Pacific Biosciences sequencing, we assembled three high-quality horse genomes, incorporating 237 Mb (9.48%) of novel sequences relative to the existing reference genome. These assemblies achieved an average Benchmarking Universal Single-Copy Orthologs completeness of 95.1%. By employing a graph-based approach, we genotyped 23,163 high-confidence, non-redundant SVs, which include 11,714 insertions and 11,449 deletions, across 390 horse genomes representing 61 breeds worldwide. Our findings provide evolutionary insights into the origins of diverse horse populations, through both SVs and single nucleotide polymorphisms. Notably, we identified a 273-bp deletion in the THSD7A gene and a 98-bp long terminal repeat insertion in the OPCML gene, both of which are significantly associated with racing ability and body index in horses (P = 3.87E-05 and 4.08E-05). These genes are linked to bone metabolism and racing ability, respectively. Luciferase assays demonstrated the regulatory potential of these sequences, showing they can significantly modulate the transcriptional activity of their associated genes. In summary, our findings highlight the potential of SVs as genetic markers and functional elements that shape equine phenotypes.

Authors

Institutions

Publication Details

Journal
Genomics Proteomics & Bioinformatics
Published
2026-07-27
DOI
https://doi.org/10.1093/gpbjnl/qzag071
Primary Topic
Veterinary Equine Medical Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Global Structural Variation Map Reveals Novel Variants for Body Conformation and Racing Ability in Horses

Lin Jiang, Jianfei Pan, Xuexue Liu, Yanli Zhang et al.
Genomics Proteomics & Bioinformatics
Veterinary Equine Medical Research
article

A Global Structural Variation Map Reveals Novel Variants for Body Conformation and Racing Ability in Horses

Lin Jiang, Jianfei Pan, Xuexue Liu, Yanli Zhang, Yuehui Ma, Gong Ying, Zhuqing Zheng, Sha Zeng, Yabin Pu
article en

Abstract

The selection of horses has been instrumental in shaping long-range mobility, advancing warfare strategies, and diversifying equine phenotypes. However, the structural variants (SVs) favored by this process remain largely unexplored. Utilizing high-fidelity Pacific Biosciences sequencing, we assembled three high-quality horse genomes, incorporating 237 Mb (9.48%) of novel sequences relative to the existing reference genome. These assemblies achieved an average Benchmarking Universal Single-Copy Orthologs completeness of 95.1%. By employing a graph-based approach, we genotyped 23,163 high-confidence, non-redundant SVs, which include 11,714 insertions and 11,449 deletions, across 390 horse genomes representing 61 breeds worldwide. Our findings provide evolutionary insights into the origins of diverse horse populations, through both SVs and single nucleotide polymorphisms. Notably, we identified a 273-bp deletion in the THSD7A gene and a 98-bp long terminal repeat insertion in the OPCML gene, both of which are significantly associated with racing ability and body index in horses (P = 3.87E-05 and 4.08E-05). These genes are linked to bone metabolism and racing ability, respectively. Luciferase assays demonstrated the regulatory potential of these sequences, showing they can significantly modulate the transcriptional activity of their associated genes. In summary, our findings highlight the potential of SVs as genetic markers and functional elements that shape equine phenotypes.

Genomics Proteomics & Bioinformatics
Jingchu University of Technology (CN), Chinese Academy of Agricultural Sciences (CN), Institute of Animal Sciences (CN)
Life below water
Openalex Percentile: Top 8%
Veterinary Equine Medical Research
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.