Proteomic analysis reveals **468 differentially expressed proteins** in Jining Grey Goat ovaries linked to litter size
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, theOxytocin Signaling Pathway, and thePPAR Signaling Pathway. Protein interaction network analysis pinpointedCAV1,FLNA,CNN1,TAGLN, andMYH11as key candidate proteins influencing prolific traits. SubsequentWestern blotverification confirmed expression trends consistent with theiTRAQresults 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 PathwayandPPAR Signaling Pathwaywere significantly enriched.CAV1,FLNA,CNN1,TAGLN, andMYH11identified as key candidate proteins.Western blotverification confirmediTRAQtrends 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