Insights into trait-association of selection signatures and adaptive eQTL in indigenous African cattle
By combining selection signatures with information on gene expression and QTL, we were able to reveal compelling candidate selection targets that did not stand out from selection signature results alone (e.g. GIMAP8 for tick resistance and NDUFS3 for heat adaptation). Insights from this study will help to inform breeding and maintain diversity of locally adapted, and hence important, breeds.
Authors
- Lingzhao Fang (ORCID: https://orcid.org/0000-0003-1103-3679)
- Juliane Friedrich (ORCID: https://orcid.org/0000-0003-2253-417X)
- Pamela Wiener (ORCID: https://orcid.org/0000-0001-6129-5795)
- Shuli Liu (ORCID: https://orcid.org/0000-0002-8988-8899)
- James Prendergast (ORCID: https://orcid.org/0000-0001-8916-018X)
Institutions
- Roslin Institute (GB)
- Aarhus University (DK)
- Westlake University (CN)
- University of Edinburgh (GB)
Publication Details
- Journal
- BMC Genomics
- Published
- 2024-10-19
- DOI
- https://doi.org/10.1186/s12864-024-10852-8
- Citations
- 7
- Primary Topic
- Genetic and phenotypic traits in livestock
- Type
- article
- Field-Weighted Citation Impact
- 3.85
Funders
- National Institute of Food and Agriculture
- Biotechnology and Biological Sciences Research Council