Phased-assembly-driven pangenome graphs for structural variant genotyping and complex trait mapping in dairy cattle

Structural variants are an underexplored source of genetic diversity. As part of the FarmGTEx Project, here we report a Holstein breed-specific pangenome graph (H20D) using Minigraph-Cactus and 40 phased haploid assemblies from 20 cows. H20D outperforms both assembly- and read-based long-read callers, and far exceeds short-read approaches, identifying over 10,000 additional structural variants per sample. It also significantly improves structural variant detection and genotyping relative to graphs built across breeds or from fewer/unphased assemblies, with particular advantages in complex regions. Using H20D, we genotype variants in 173 cattle and performed a GWAS, where a larger fraction of structural variants than SNPs reach genome-wide significance, implicating them as potential causal variants. Together, these results demonstrate the power of phased, within-breed pangenome graphs for accurate SV genotyping and trait mapping in dairy cattle.

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Publication Details

Journal
Nature Communications
Published
2026-01-30
DOI
https://doi.org/10.1038/s41467-026-68807-4
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
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article

Phased-assembly-driven pangenome graphs for structural variant genotyping and complex trait mapping in dairy cattle

Curtis P. Van Tassell, Nayan Bhowmik, VI Ransom L. Baldwin, W. Li et al.
Nature Communications
Genetic and phenotypic traits in livestock
article

Phased-assembly-driven pangenome graphs for structural variant genotyping and complex trait mapping in dairy cattle

Curtis P. Van Tassell, Nayan Bhowmik, VI Ransom L. Baldwin, W. Li, Yahui Gao, Timothy P. L. Smith, Kristen L. Kuhn, G.I. Zanton, Liu Yang, D. Rosen Benjamin, Congjun Li, Lingzhao Fang, George E. Liu, John B. Cole, Li Ma
article en

Abstract

Structural variants are an underexplored source of genetic diversity. As part of the FarmGTEx Project, here we report a Holstein breed-specific pangenome graph (H20D) using Minigraph-Cactus and 40 phased haploid assemblies from 20 cows. H20D outperforms both assembly- and read-based long-read callers, and far exceeds short-read approaches, identifying over 10,000 additional structural variants per sample. It also significantly improves structural variant detection and genotyping relative to graphs built across breeds or from fewer/unphased assemblies, with particular advantages in complex regions. Using H20D, we genotype variants in 173 cattle and performed a GWAS, where a larger fraction of structural variants than SNPs reach genome-wide significance, implicating them as potential causal variants. Together, these results demonstrate the power of phased, within-breed pangenome graphs for accurate SV genotyping and trait mapping in dairy cattle.

Nature CommunicationsVol. 17(1)
North Carolina State University (US), Aarhus University (DK), University of Florida (US), Dairy Management (US), Beltsville Agricultural Research Center (US), Roman L. Hruska U.S. Meat Animal Research Center (US), U.S. Dairy Forage Research Center (US), University of Maryland, College Park (US), University of Guelph (CA)
U.S. Department of Agriculture, National Natural Science Foundation of China, Natural Science Foundation for Young Scientists of Shanxi Province, National Institute of Food and Agriculture, Young Scientists Fund
Zero hunger
Openalex Percentile: Top 67%
Genetic and phenotypic traits in livestock
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