Application of sperm motion kinematics and motility-related proteins for prediction of male fertility.
Abstract: The selection of superior sires is paramount for enhancing the efficiency of animal production in the livestock industry. However, semen quality assessment still relies on conventional semen analysis techniques in both animals and humans. Despite extensive efforts to develop various biomarkers for more accurate and precise predictions of male fertility potential, more effective physiological indicators and advance potential biomarkers are needed. Herein, we aimed to develop new potential biomarkers related to sperm motion kinematics for male fertility prediction. We first evaluated sperm motion kinematic parameters and expression levels of sperm motility-related proteins of 30 Duroc boars. We then explored the correlation between litter size, sperm motion kinematics parameters, and sperm motility-related proteins. Progressive sperm motility (%), rapid sperm motility (%), slow sperm motility (%), straight-line velocity (μm/s), linearity (%), beat cross frequency (Hz), mean angular displacement (degree), wobble (%) were correlated with litter size. Furthermore, the expression of axonemal dynein light intermediate polypeptide 1 (DNALI1) and radial spoke head protein 9 homolog (RSPH9) correlated with litter size. The overall accuracy exceeded 60% for predicting litter size using these sperm motion parameters and proteins. Notably, our study observed an increase in litter size after predicting litter size using these parameters and proteins. Thus, sperm motion kinematic parameters and protein expression, particularly of DNALI1 and RSPH9, could serve as new biomarkers for male fertility. These results may contribute to improved understanding of the mechanisms underlying sperm motility.
Copyright © 2024 Elsevier Inc. All rights reserved.
Publication Date: 2024-02-07 PubMed ID: 38359560DOI: 10.1016/j.theriogenology.2024.02.007Google Scholar: Lookup The Equine Research Bank provides access to a large database of publicly available scientific literature. Inclusion in the Research Bank does not imply endorsement of study methods or findings by Mad Barn.
- Journal Article
Summary
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Overview
- This study aimed to identify new biomarkers related to sperm movement and specific proteins to better predict male fertility in Duroc boars, ultimately improving livestock breeding outcomes.
Introduction and Background
- Selection of high-quality male breeders (sires) is crucial for efficient animal production in the livestock industry.
- Traditional semen quality assessments rely on conventional analysis methods, which may lack precision in predicting fertility.
- Current biomarkers for male fertility prediction have limited effectiveness, highlighting the need for advanced physiological indicators.
- The study focuses on sperm motion kinematics—quantitative measures of sperm movement—and proteins associated with sperm motility as potential new biomarkers.
Research Objectives
- Evaluate sperm motion kinematic parameters and protein expression levels related to sperm motility in 30 Duroc boars.
- Assess the correlation between these parameters, protein levels, and actual fertility outcomes measured by litter size.
- Develop predictive models for male fertility using these new biomarkers.
Methods
- Selected 30 Duroc boars for analysis.
- Measured sperm motion kinematic parameters including:
- Progressive sperm motility (%): Percentage of sperm moving actively forward.
- Rapid sperm motility (%): Percentage of fast-moving sperm.
- Slow sperm motility (%): Percentage of slow-moving sperm.
- Straight-line velocity (μm/s): Speed of sperm moving in a straight line.
- Linearity (%): Degree to which sperm swim in straight trajectories.
- Beat cross frequency (Hz): Frequency of flagellar beat crossing the sperm’s central axis.
- Mean angular displacement (degree): Average turning angle during sperm movement.
- Wobble (%): Variation in sperm head side to side movement.
- Measured expression of motility-related proteins, specifically axonemal dynein light intermediate polypeptide 1 (DNALI1) and radial spoke head protein 9 homolog (RSPH9).
- Analyzed correlations between all measured parameters and actual litter sizes produced by the boars.
Key Findings
- Several sperm motion kinematic parameters showed strong correlation with litter size, indicating a relationship between sperm motility characteristics and fertility.
- Expression levels of DNALI1 and RSPH9 proteins significantly correlated with litter size, suggesting these proteins play important roles in sperm motility linked to fertility.
- Predictive models using sperm motility parameters and protein levels achieved over 60% accuracy in predicting litter size outcomes.
- Applying the prediction model in practice corresponded to an observed increase in litter size, highlighting practical benefits.
Implications and Conclusions
- This study identifies sperm motion kinematic parameters and levels of specific motility-related proteins as potential new biomarkers for assessing male fertility.
- DNALI1 and RSPH9 proteins, in particular, are promising targets for future research and practical fertility prediction tools.
- Improved biomarker identification can enhance breeding programs by selecting boars with higher fertility, boosting efficiency and productivity in livestock production.
- Understanding these parameters also contributes to the biological knowledge of sperm motility mechanisms, potentially benefiting human and animal reproductive health fields.
Summary
- By integrating sperm movement characteristics and protein expression data, the research improves fertility prediction accuracy beyond conventional analysis techniques.
- The findings may pave the way for advanced semen evaluation methods to optimize breeding strategies and outcomes in the livestock industry.
Cite This Article
APA
Bae JW, Hwang JM, Lee WJ, Kim DH, Yi JK, Ha JJ, Oh DY, Kwon WS.
(2024).
Application of sperm motion kinematics and motility-related proteins for prediction of male fertility.
Theriogenology, 218, 223-230.
https://doi.org/10.1016/j.theriogenology.2024.02.007 Publication
Researcher Affiliations
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea.
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea.
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea.
- Department of Animal Science, Chonnam National University, Gwangju, 61186, Republic of Korea.
- School of Animal Life Convergence Science, Hankyong National University, Anseong, 17579, Republic of Korea.
- Gyeongbuk Livestock Research Institute, Yeongju, Gyeongsangbuk-do, 36052, Republic of Korea.
- Gyeongbuk Livestock Research Institute, Yeongju, Gyeongsangbuk-do, 36052, Republic of Korea. Electronic address: ody1234@korea.kr.
- Department of Animal Science and Biotechnology, Kyungpook National University, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea; Research Center for Horse Industry, Kyungpook National University, Sangju, Gyeongsangbuk-do, 37224, Republic of Korea. Electronic address: wskwon@knu.ac.kr.
MeSH Terms
- Humans
- Male
- Animals
- Swine
- Semen Analysis / veterinary
- Sperm Motility / physiology
- Fertility
- Semen / physiology
- Biomechanical Phenomena
- Spermatozoa / physiology
- Biomarkers
Conflict of Interest Statement
Declaration of competing interest The authors have declared that no competing interests.
Citations
This article has been cited 2 times.- Rodriguez I, Keller A, Jennett L, Johnson M, Shofner I, Mahmood M, Redel B, Kerns K. Capacitation-Induced Zinc Ion Flux and Sperm Plasma Membrane Remodeling Predict Porcine In Vitro Fertilization Cleavage Success.. Mol Reprod Dev 2026 Jan;93(1):e70085.
- Ren H, Wen X, He Q, Yi M, Dugarjaviin M, Bou G. Comparative Study on the Sperm Proteomes of Horses and Donkeys.. Animals (Basel) 2024 Jul 31;14(15).
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