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Updated: Aug 25, 2025

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Published on: November 3, 2023
Optical mapping compendium of structural variants across global cattle breeds
A Talenti1, J Powell2, D Wragg2,3
1The Roslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian, EH25 9RG, United Kingdom. Andrea.Talenti@ed.ac.uk.
Optical mapping reveals extensive structural variants (SVs) in cattle, advancing our understanding of bovine traits and evolution. This high-quality SV database aids future genetic research and disease phenotype studies in cattle.
Area of Science:
- Genomics
- Animal Genetics
- Bioinformatics
Background:
- Structural variants (SVs) influence bovine disease phenotypes but are challenging to detect with standard sequencing.
- The role of SVs in cattle breed traits remains largely unexplored due to detection limitations.
Purpose of the Study:
- To create a comprehensive database of structural variation in cattle using optical mapping.
- To enable deeper investigation into the impact of SVs on cattle traits and evolution across diverse breeds.
Main Methods:
- Generated 100X Bionano optical mapping data for 18 cattle representing diverse ancestries, continents, and subspecies.
- Identified and cataloged structural variants across the cattle genome.
Main Results:
- Discovered 13,457 structural variants (SVs) in the analyzed cattle population.
- Identified 1,200 SVs potentially located within coding regions, highlighting functional significance.
Conclusions:
- The generated optical mapping data provides a high-quality resource for cattle SV studies.
- This SV database supports validation of sequencing data, prioritizes functional variants, and enhances understanding of cattle evolution.
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