ArticleFrontiers in genetics2025
Skin transcriptomic and selection signature analyses identify
Article in Frontiers in genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Mapping genomic adaptation to environmental heterogeneity in Indian native goat populations through landscape genomics.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- The Genomic Landscape of Cattle: Domestication, Dispersal, and Adaptive Evolution.Animals : an open access journal from MDPI · 2026Review
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: Coat color is a complex trait and plays an important role in breed identification. However, information regarding genes associated with coat color in cattle is limited, especially at the skin transcriptome level. Methods: We investigated the differential expressed genes (DEGs) and genomic selection signal underlying the coat color variation between black and brown cattle breeds. A total of 19 cattle (Brangus, Angus, Simmental, and Guanling) were performed skin transcriptome analysis and 262 cattle (Angus and Simmental) were performed whole genome analysis. Results: Angus cattle (black coat) had a significantly higher melanin content in both their hair and skin compared to that of Simmental and Guanling cattle (brown coat). Transcriptomic analysis identified 14,118 expressed genes, with principal component analysis and hierarchical clustering revealing clear differences between black and brown cattle. DEGs analysis across four pairwise breed comparisons highlighted 343 downregulated and 54 upregulated genes common to all comparisons, with the Conclusion: Based on the skin transcriptomic and genomic analyses, we found that
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