Whole genome sequences of 289 native cattle from Finland, the Netherlands, and Portugal

Native cattle breeds in Europe are vital to agricultural heritage and livestock production, combining adaptation to diverse environments with desirable traits such as high-quality beef and milk. To investigate genetic diversity, local adaptation, and productivity-related characteristics, we generated whole-genome sequences from 289 cattle representing 11 native breeds and the commercial Holstein-Friesian breed across Finland, the Netherlands, and Portugal. These breeds span diverse climates and management systems, from cold northern regions to Mediterranean environments in southern Europe. The dataset comprises over 11 terabytes of paired-end Illumina NovaSeq6000 sequencing data, with an average depth of ~10 × and an alignment rate of ~99.7% against the ARS-UCD1.2 and 2.0 cattle reference genomes. Variant calling identified about 30 million SNPs and 2.7 million small indels distributed unevenly across the genome. Annotation linked many variants to known genes. This genomic resource provides an important foundation for studying genomic diversity, environmental adaptation, small structural variants discovery, and genomic mapping of economically important traits, offering insights for future breeding and conservation programs in European cattle.

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Publication Details

Journal
Scientific Data
Published
2025-12-03
DOI
https://doi.org/10.1038/s41597-025-06188-x
Primary Topic
Genetic and phenotypic traits in livestock
Type
article
Field-Weighted Citation Impact
0.00

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article

Whole genome sequences of 289 native cattle from Finland, the Netherlands, and Portugal

Ludmilla Blaschikoff, Junxin Gao, Heli Lindeberg, Kimberley Laport et al.
Scientific Data
Genetic and phenotypic traits in livestock
article

Whole genome sequences of 289 native cattle from Finland, the Netherlands, and Portugal

Ludmilla Blaschikoff, Junxin Gao, Heli Lindeberg, Kimberley Laport, R.P.M.A. Crooijmans, Melak Weldenegodguad, Catarina Ginja, Kisun Pokharel, Sílvia Guimarães, Nasser Ghanem, Ana Elisabete Pires, Ying-Ying Lui, Mahlako L. Makgahlela, Daniil Ruvinskiy, Donald R. Kugonza, Carolina Bruno de Sousa, Juha Kantanen, Rodney Okwasiimire, Hauke Smidt, Bert Dibbits, Ana Usié, Etske Bijl, Rayner González-Prendes, Henk Bovenhuis, Daniel Gaspar
article en

Abstract

Native cattle breeds in Europe are vital to agricultural heritage and livestock production, combining adaptation to diverse environments with desirable traits such as high-quality beef and milk. To investigate genetic diversity, local adaptation, and productivity-related characteristics, we generated whole-genome sequences from 289 cattle representing 11 native breeds and the commercial Holstein-Friesian breed across Finland, the Netherlands, and Portugal. These breeds span diverse climates and management systems, from cold northern regions to Mediterranean environments in southern Europe. The dataset comprises over 11 terabytes of paired-end Illumina NovaSeq6000 sequencing data, with an average depth of ~10 × and an alignment rate of ~99.7% against the ARS-UCD1.2 and 2.0 cattle reference genomes. Variant calling identified about 30 million SNPs and 2.7 million small indels distributed unevenly across the genome. Annotation linked many variants to known genes. This genomic resource provides an important foundation for studying genomic diversity, environmental adaptation, small structural variants discovery, and genomic mapping of economically important traits, offering insights for future breeding and conservation programs in European cattle.

Scientific DataVol. 12(1)
University of Helsinki (FI), University of Lisbon (PT), Cairo University (EG), Universidade do Porto (PT), University of Évora (PT), University of the Free State (ZA), Natural Resources Institute Finland (FI), Centro de Biotecnologia Agrícola e Agro Alimentar do Alentejo (PT), Animal Production Institute (ZA), Agricultural Research Council of South Africa (ZA), Makerere University (UG), Universidade Lusófona (PT), Wageningen University & Research (NL)
European Commission, China Scholarship Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 60%
Genetic and phenotypic traits in livestock
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