Sequence-based GWAS reveals genes and variants associated with predicted methane emissions in French dairy cows
The methane traits studied here, which were predicted from milk MIR spectra, appear to be highly polygenic. Several genomic regions associated with these traits contain candidate genes previously associated with milk traits. Functional annotation and comparisons with studies using direct methane measurements support some potential candidate genes involved in biological pathways related to methane production. However, the overlap with genes influencing milk traits highlights the challenge of distinguishing whether these regions genuinely influence methane emissions or reflect the use of milk MIR spectra to predict the phenotypes.
Authors
- Solène Fresco (ORCID: https://orcid.org/0000-0002-6091-4328)
- Pauline Martin (ORCID: https://orcid.org/0000-0003-2950-2728)
- Didier Boichard (ORCID: https://orcid.org/0000-0003-0361-2961)
- Marie-Pierre Sanchez (ORCID: https://orcid.org/0000-0002-1371-5342)
- Sébastien Fritz (ORCID: https://orcid.org/0000-0002-3378-1048)
Institutions
- AgroParisTech (FR)
- Université Paris-Saclay (FR)
- Microbiologie de l’alimentation au service de la santé (FR)
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR)
- Elice (France) (FR)
Publication Details
- Journal
- Genetics Selection Evolution
- Published
- 2025-06-17
- DOI
- https://doi.org/10.1186/s12711-025-00977-z
- Citations
- 4
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 7.27
Funders
- APIS-GENE
- Association Nationale de la Recherche et de la Technologie