All research
Oxytocin 2026-06-19 PubMed

Proteomic analysis reveals **468 differentially expressed proteins** in Jining Grey Goat ovaries linked to litter size

Quantitative proteomic analysis was performed to evaluate the protein expression levels in the ovaries of goats with different litter sizes.

Background

Optimizing goat reproductive performance, particularly litter size, is crucial for livestock productivity. The ovary is central to this process, yet the precise molecular mechanisms linking ovarian protein dynamics to prolificacy remain largely unknown. Current breeding strategies often lack a deep understanding of these underlying proteomic changes. This study aims to bridge this gap by investigating the ovarian proteome of the highly prolific Jining Grey Goat, providing insights into the genetic basis of fertility traits.

Study Design

Researchers selected 8 Jining Grey Goats, dividing them into a single-birth group (n=4) and a multiple-birth group (n=4). Ovarian tissue samples were collected from both groups. Protein expression differences were investigated using iTRAQ technology for quantitative proteomic analysis, followed by bioinformatics analysis to identify enriched pathways and protein interaction networks. Key candidate proteins were then validated via Western blot to confirm expression trends, comparing protein levels between the two litter size groups.

Results

Quantitative proteomic analysis identified a total of 468 differentially expressed proteins (DEPs) in the ovaries of Jining Grey Goats with varying litter sizes. Of these, 255 proteins were significantly up-regulated, while 213 were down-regulated in the multiple-birth group compared to the single-birth group.

Gene Ontology (GO) enrichment analysis revealed these DEPs were primarily involved in crucial biological processes such as cellular and metabolic processes, alongside molecular functions like actin filament binding and calcium ion binding. KEGG pathway enrichment analysis highlighted significant enrichment in pathways including focal adhesion, the Oxytocin Signaling Pathway, and the PPAR Signaling Pathway. Protein interaction network analysis pinpointed CAV1, FLNA, CNN1, TAGLN, and MYH11 as key candidate proteins influencing prolific traits. Subsequent Western blot verification confirmed expression trends consistent with the iTRAQ results for these identified proteins.

Key Findings

  • 468 differentially expressed proteins identified in goat ovaries linked to litter size.
  • 255 proteins were up-regulated and 213 down-regulated in multiple-birth goats.
  • Oxytocin Signaling Pathway and PPAR Signaling Pathway were significantly enriched.
  • CAV1, FLNA, CNN1, TAGLN, and MYH11 identified as key candidate proteins.
  • Western blot verification confirmed iTRAQ trends for key proteins.

Why It Matters

This study provides a foundational understanding of the molecular mechanisms underlying goat fertility and prolificacy, which is critical for improving livestock breeding programs. By identifying specific proteins and pathways like the Oxytocin Signaling Pathway and PPAR Signaling Pathway linked to litter size, researchers can develop targeted genetic markers or nutritional interventions to enhance reproductive output in economically important animals. Understanding these proteomic signatures could lead to more effective selection strategies for breeding highly prolific goats, moving beyond traditional phenotypic selection. While not directly translatable to human peptide protocols, this work illuminates complex reproductive biology, potentially informing future research into fertility challenges across species.


proteomics goat fertility reproduction ovary animal study
Source: pubmed:42316009 · Ingested 2026-06-19 · Digest: gemini-2.5-flash