与公羊生育能力相关的精子细胞和核动力学。

IF 2.6 2区 农林科学 Q1 VETERINARY SCIENCES
Frontiers in Veterinary Science Pub Date : 2025-05-19 eCollection Date: 2025-01-01 DOI:10.3389/fvets.2025.1577004
Mustafa Bodu, Mustafa Hitit, Ayse Sari, Mesut Kirbas, Bulent Bulbul, Mehmet Bozkurt Ataman, Mustafa Numan Bucak, John Parrish, Abdullah Kaya, Erdogan Memili
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引用次数: 0

摘要

本研究的目的是分析低生育能力(LF)和充足或正常生育能力(AF)公羊精子的DNA完整性、形状形态和膜完整性。各种精子评估方法,如精子染色质分散分析,傅立叶谐波振幅(FHA)分析,以及其他图像分析的形态计量参数。另一个目标是采用新的高可靠性统计模型来预测基于精子头形态参数的公羊生育能力。采用人工阴道采集41只AF公羊(受胎率95.1%±0.6%)和27只LF公羊(受胎率79.7%±2.5%)的新鲜精液。左、AF公羊的活精子百分率(平均值±SEM, 64%±3%,72%±2%)、活精子百分率(78±2%,84±1%)、头部和顶体异常百分率(1.9%±0.4%,3.4%±0.4%)差异均有统计学意义(p < 0.05)。不同分析的结果也表明,公羊的生育能力与DNA断裂无关(p < 0.05)。利用FHA分析,构建了公羊精子的平均头形,并确定了谐波振幅2,在两个生育组公羊之间存在差异(p = 0.059)。基于FHA和形态计量学分析,构建了显著的线性判别模型(p = 0.0013),识别LF公羊的特异性为6/ 9,66.7%,识别AF公羊的敏感性为39/ 47,83.0%。总体错误率保持良好,为11/56(20%)。本研究的结果表明,精子DNA损伤可能不能用于预测公羊的生育能力,而基于FHA分析的统计模型可以作为预测公羊生育能力的潜在工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sperm cellular and nuclear dynamics associated with ram fertility.

The aim of this study is to analyze DNA integrity, shape morphology, and membrane integrity in sperm from low-fertility (LF) and adequate- or normal-fertility (AF) rams. Various sperm evaluation methods such as sperm chromatin dispersion assay, Fourier harmonic amplitude (FHA) analysis, and other image analysis of morphometric parameters were used. An additional aim is to employ new statistical models with high reliability to predict ram fertility based on sperm head morphology parameters. Fresh semen was collected from 41 AF (conception rate 95.1% ± 0.6%) and 27 LF (conception rate 79.7% ± 2.5%) rams using artificial vagina. Differences (p < 0.05) were observed in percent motile sperm (mean ± SEM, 64% ± 3%, 72% ± 2%), percent viable sperm (78 ± 2%, 84 ± 1%), and head and acrosome abnormalities (1.9% ± 0.4%, 3.4% ± 0.4%) between LF and AF rams. The findings of different analyses also showed that the fertility of rams is not associated with DNA fragmentation (p > 0.05). Using the FHA analysis, an average head shape of ram sperm was constructed and harmonic amplitude 2 was determined, which tended to differ between the two ram fertility groups (p = 0.059). Based on the FHA and morphometric analysis, a significant linear discriminant model was constructed (p = 0.0013), which allowed for specificity in identifying LF rams (6/9, 66.7%) and sensitivity in identifying AF rams (39/47, 83.0%). The overall error rate remained good, which was 11/56 (20%). The findings of this study suggest that sperm DNA damage might not be used to predict ram fertility and that the statistical model based on the FHA analysis can be a potential tool in predicting ram fertility.

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来源期刊
Frontiers in Veterinary Science
Frontiers in Veterinary Science Veterinary-General Veterinary
CiteScore
4.80
自引率
9.40%
发文量
1870
审稿时长
14 weeks
期刊介绍: Frontiers in Veterinary Science is a global, peer-reviewed, Open Access journal that bridges animal and human health, brings a comparative approach to medical and surgical challenges, and advances innovative biotechnology and therapy. Veterinary research today is interdisciplinary, collaborative, and socially relevant, transforming how we understand and investigate animal health and disease. Fundamental research in emerging infectious diseases, predictive genomics, stem cell therapy, and translational modelling is grounded within the integrative social context of public and environmental health, wildlife conservation, novel biomarkers, societal well-being, and cutting-edge clinical practice and specialization. Frontiers in Veterinary Science brings a 21st-century approach—networked, collaborative, and Open Access—to communicate this progress and innovation to both the specialist and to the wider audience of readers in the field. Frontiers in Veterinary Science publishes articles on outstanding discoveries across a wide spectrum of translational, foundational, and clinical research. The journal''s mission is to bring all relevant veterinary sciences together on a single platform with the goal of improving animal and human health.
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