Identification and annotation of milk associated genes from milk somatic cells using expression and RNA-seq data

Area of Science:

• Genomics
• Molecular Biology
• Animal Science

Background:

• Identifying genes related to milk production is crucial for improving dairy animal efficiency.
• Gene expression profiling offers insights into the molecular mechanisms of lactation.

Purpose of the Study:

• To identify and annotate genes associated with milk production using gene expression data.
• To understand the functional roles of differentially expressed genes in milk secretion.

Main Methods:

• RNA sequencing (RNA-Seq) data from milk somatic cells was pre-processed and mapped.
• Differentially expressed genes (DEGs) were identified.
• Protein-protein interaction networks (STRING, Cytoscape), Gene Ontology, pathway enrichment (ShinyGO, DAVID), and QTL analysis were performed.

Main Results:

• The analysis identified differentially expressed genes (DEGs) in milk somatic cells.
• Functional analysis revealed insights into the roles of up and down-regulated genes.
• Twenty-one genes were significantly linked to the process of milk secretion.

Conclusions:

• The study successfully identified 21 genes associated with milk secretion.
• This genetic information can contribute to breeding strategies for enhanced milk production.
• The findings provide a foundation for further research into the genetic regulation of lactation.