Identification of reproductive performance in Bali-polled bulls using computer-assisted semen analysis and plasma seminal proteomics

Identification of reproductive performance in Bali-polled bulls using computer-assisted semen analysis and plasma seminal proteomics

Background and Aim: Bali-polled bulls, known for their favorable traits, require advanced reproductive performance analysis to optimize breeding programs. This study aimed to evaluate sperm kinematics and seminal plasma proteomic profiles as biomarkers for sperm motility and fertility in Bali-polled...

Full description

Saved in:
Bibliographic Details
Main Authors: Athhar Manabi Diansyah, Sanstoso Santoso, Herdis Herdis, Muhammad Yusuf, Tri Puji Priyatno, Tulus Maulana, Abdul Latief Toleng, Muhammad Ihsan Andi Dagong, Syahruddin Said, Hikmayani Iskandar, Aeni Nurlatifah, Puji Lestari, Lukman Affandy, Abdullah Baharun
Format: Article
Language:English
Published: Veterinary World 2025-01-01
Series:Veterinary World
Subjects:
artificial insemination
bali-polled bulls
fertility biomarkers
seminal plasma proteomics
sperm kinematics
Online Access:https://www.veterinaryworld.org/Vol.18/January-2025/12.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Background and Aim: Bali-polled bulls, known for their favorable traits, require advanced reproductive performance analysis to optimize breeding programs. This study aimed to evaluate sperm kinematics and seminal plasma proteomic profiles as biomarkers for sperm motility and fertility in Bali-polled bulls. Materials and Methods: Semen from five Bali-polled bulls was collected biweekly over five batches using artificial vaginas. Sperm kinematics were assessed using computer-assisted semen analysis (CASA). Fertility was evaluated through service per conception (S/C) in artificial insemination trials. Seminal plasma proteins were analyzed through liquid chromatography–tandem mass spectrometry (LC-MS/MS) and annotated using the UniProt database, PANTHER for gene ontology, and STRING database for protein interactions. Results: Post-thaw sperm kinematics showed satisfactory results, with a mean S/C of 1.52. Proteomic analysis identified 138 proteins, including six (TEX101, BSP1, PRSS55, BSP3, SPADH2, and TPPP2) linked to sperm motility. These proteins were involved in key biological processes such as sperm capacitation, motility regulation, and sperm-oocyte interaction. Conclusion: Sperm kinematics and seminal plasma proteomics provide insights into Bali-polled bull fertility. Identified proteins can serve as fertility biomarkers, aiding in superior local breed development and reproductive efficiency improvement.
ISSN:0972-8988
2231-0916

Similar Items