Excel · study · 2026
Pleiotropic effects of the milk somatic cell transcriptome associated with feed efficiency and immunity in Holstein dairy cows
Listed in NCBI GEO
In the livestock industry, feed is the largest expense, driving interest in breeding more feed-efficient animals.
Description
Residual feed intake (RFI) is a widely used measure of feed efficiency, accounting for actual feed intake versus expected requirements for maintenance and production. Because feed efficiency is highly polygenic, associated genes may have pleiotropic effects on traits such as immunity, complicating breeding strategies.
One way to study pleiotropy is through -OMICs technologies, including transcriptomics, which uses RNA-Sequencing (RNA-Seq) to analyze the transcriptome at specific tissue levels and time points. This study used RNA-Seq to identify differentially expressed (DE) genes between Low RFI (n = 22) and High RFI (n = 17) Holstein cows. A total of 36 genes were DE between groups, enriched in 28 metabolic pathways (FDR < 0.01), most of which were immune-related, including the RIG-I-like receptor signaling pathway.
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QTL annotation and enrichment analyses were also performed for the DE genes. Within these gene regions, 646 previously annotated QTL were identified, of which 26.7% were related to milk traits. Notably, 10 QTL were associated with feed efficiency, while 4 were linked to host immunity.
QTL enrichment further revealed 387 significantly enriched QTL, with the majority of the top associations related to health. In summary, this research identified candidate genes and QTL regions suggesting potential pleiotropic relationships between feed efficiency and immunity in Holstein dairy cows. These findings highlight the need for further investigation to balance productivity and health in genetic improvement programs.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE322nnn/GSE322776 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE322776 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1431463 ncbi.nlm.nih.gov/bioproject/PRJNA1431463 ↗
project · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing
- From keywords
- Life Sciences
- Inferred from text
- Animal production 70% · RNA sequencing 65%
Provenance · 1 source records, 8 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE322776 | 11 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].anzsrc:group:3003 | enrichment · NCBI GEO | taxonomy-embedding@1.1.0 | title+keywords+description (70%) |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (65%) |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |