Mustafa Bodu, Mustafa Hitit, Ayse Sari, Mesut Kirbas, Bulent Bulbul, Mehmet Bozkurt Ataman, Mustafa Numan Bucak, John Parrish, Abdullah Kaya, Erdogan Memili
{"title":"与公羊生育能力相关的精子细胞和核动力学。","authors":"Mustafa Bodu, Mustafa Hitit, Ayse Sari, Mesut Kirbas, Bulent Bulbul, Mehmet Bozkurt Ataman, Mustafa Numan Bucak, John Parrish, Abdullah Kaya, Erdogan Memili","doi":"10.3389/fvets.2025.1577004","DOIUrl":null,"url":null,"abstract":"<p><p>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 (<i>p</i> < 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 (<i>p</i> > 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 (<i>p</i> = 0.059). Based on the FHA and morphometric analysis, a significant linear discriminant model was constructed (<i>p</i> = 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.</p>","PeriodicalId":12772,"journal":{"name":"Frontiers in Veterinary Science","volume":"12 ","pages":"1577004"},"PeriodicalIF":2.6000,"publicationDate":"2025-05-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12128647/pdf/","citationCount":"0","resultStr":"{\"title\":\"Sperm cellular and nuclear dynamics associated with ram fertility.\",\"authors\":\"Mustafa Bodu, Mustafa Hitit, Ayse Sari, Mesut Kirbas, Bulent Bulbul, Mehmet Bozkurt Ataman, Mustafa Numan Bucak, John Parrish, Abdullah Kaya, Erdogan Memili\",\"doi\":\"10.3389/fvets.2025.1577004\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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 (<i>p</i> < 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 (<i>p</i> > 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 (<i>p</i> = 0.059). Based on the FHA and morphometric analysis, a significant linear discriminant model was constructed (<i>p</i> = 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.</p>\",\"PeriodicalId\":12772,\"journal\":{\"name\":\"Frontiers in Veterinary Science\",\"volume\":\"12 \",\"pages\":\"1577004\"},\"PeriodicalIF\":2.6000,\"publicationDate\":\"2025-05-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12128647/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in Veterinary Science\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://doi.org/10.3389/fvets.2025.1577004\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"VETERINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Veterinary Science","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.3389/fvets.2025.1577004","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"VETERINARY SCIENCES","Score":null,"Total":0}
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.
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.