ArticleJournal of animal science and biotechnology2026
Transcriptome-derived variants in milk reveal host response signatures to subclinical intramammary infection in Holstein cattle.
Article in Journal of animal science and biotechnology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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Who cites it
1 citing paper in PubMed.
- Reconstructing bovine disease trajectories through integrative multi-omics: molecular decision nodes, predictive biomarkers and precision intervention.Veterinary research communications · 2026Review
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Authors and funding
7 authors.
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No grant is acknowledged in the PubMed record.
Abstract
backgroundBeyond conventional transcriptome profiling, RNA-sequencing (RNA-Seq) enables the discovery of variants within expressed genes linked to complex traits such as mastitis resistance or susceptibility. In this study, RNA-Seq was performed on milk somatic cells from uninfected Holstein cows with no history of mastitis (Neg, n = 9) or with subclinical intramammary infections (sIMI) caused by Prototheca spp. (P+ , n = 11) or Streptococcus agalactiae (Sa+ , n = 11). The objective was to identify transcriptome-derived sequence variants detectable under specific microbiological conditions that may contribute to the modulation of host transcriptional responses. By integrating these transcript-derived variants with quantitative trait locus (QTL) annotations and enrichment analyses, we aimed to highlight genomic regions functionally associated with mastitis susceptibility or resilience.
resultsUsing the CLC Genomic Workbench, a total of 306,440, 264,132, and 246,777 unique variants were detected in Neg, P+ , and Sa+ groups, respectively, with SNPs being more abundant than INDELs. High-impact variants were identified in immune-related genes (TNIP1, TNIP3, IL10RB, IL2RA, IL15RA), suggesting post-transcriptional modulation of immune and inflammatory responses under different microbiological conditions. Variants in non-coding regulatory regions indicate that transcriptional control may also contribute to host susceptibility. QTL enrichment using GALLO showed consistent associations with milk production traits, while clinical mastitis QTLs were specifically enriched in P+ , reflecting context-dependent regulation of immune responses.
conclusionsThese findings provide new insights into the molecular basis of host responses to intramammary infections and support the value of a transcriptome-driven approach for variant discovery. Variants identified in immune-related genes and regulatory regions suggest that both immune gene modulation and post-transcriptional regulation may contribute to susceptibility to sIMI. Upon further functional validation, these findings may inform precision breeding strategies to enhance mastitis resilience in dairy cattle.
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