Can sperm protamine deficiency induce sperm premature chromosomal condensation?

Andrologia ◽  
2006 ◽  
Vol 38 (3) ◽  
pp. 92-98 ◽  
Author(s):  
M. H. Nasr-Esfahani ◽  
N. Naghshizadian ◽  
H. Imani ◽  
S. Razavi ◽  
M. Mardani ◽  
...  
Andrologia ◽  
2004 ◽  
Vol 36 (3) ◽  
pp. 95-100 ◽  
Author(s):  
M. H. Nasr-Esfahani ◽  
S. Razavi ◽  
H. Mozdarani ◽  
M. Mardani ◽  
H. Azvagi

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 83-84
Author(s):  
Marina Fortes ◽  
Wei Liang Andre Tan ◽  
Laercio R Porto-Neto ◽  
Antonio Reverter ◽  
Gry B Boe-Hansen

Abstract Traits such as sperm morphology and motility are routine in veterinarian evaluations of bull fertility. However, they rarely are included in livestock breeding programs, which typically use only scrotal circumference (SC) and some female traits for fertility selection. We studied 25 male fertility traits measured in two research populations of bulls (1,099 Brahman, and 1,719 Tropical Composite) and one commercial population (2,490 Santa Gertrude bulls). Measurements included standard semen evaluation (e.g. sperm motility and morphology) and SC. In the research data, we also measured sperm DNA fragmentation and sperm protamine deficiency for about 50% of the bulls. Using a mixture of genomic and pedigree analyses, we estimated heritabilities and genetic correlations for all traits, in each population. Our analyses suggest that bull fertility traits have a heritable component, which makes selective breeding possible. The phenotype variation in sperm DNA fragmentation and sperm protamine deficiency traits also have a heritable component (h2 ~ 0.05–0.22). These first estimates for heritability of sperm chromatin phenotypes require further studies, with larger datasets, to corroborate present results. In all three populations, we observed genetic correlations across traits that were favorable, but not high. For example, the percentage of normal sperm (PNS) from the sperm morphology evaluation was positively correlated with SC. In the research data, sperm DNA fragmentation was negatively correlated with PNS (r2 ~ 0.23–0.33), meaning that bulls with a higher PNS had less DNA fragmentation, being therefore more fertile according to both indicators. Given the favorable and yet not high genetic correlations between traits, it is possible to envision that sperm chromatin phenotypes might form a panel, together with PNS and SC, for a comprehensive bull fertility index. Selection indices that include fertility traits are being implemented in the dairy industry and could be recommended for beef cattle, too. An index that benefits from the favorable genetic correlations between traits that describe different aspects of bull fertility is a sensible approach to selective breeding. The clinical use of complementary indicators for male fertility is largely accepted, when deciding on bull fitness for the mating season. We propose extending this rationale to create a multi-trait index that captures genetic merit for bull fertility. In addition, we performed genome-wide association analyses in the research data and identified eight QTLs in the X chromosome. Correlations and shared SNP associations support the hypothesis that these phenotypes have the same underlying cause: abnormal spermatogenesis. In conclusion, it is possible to improve bull fertility through selective breeding, by measuring complementary fertility traits. Genomic selection for bull fertility might be more accurate if the X chromosome mutations that underlie the discovered QTL are included in the analyses. Polymorphisms associated with fertility in the bull accumulate in the X chromosome, as they do in humans and mice, thus suggesting specialization of this chromosome.


1996 ◽  
Vol 19 (1) ◽  
pp. 23-27 ◽  
Author(s):  
D. LOLIS ◽  
I. GEORGIOU ◽  
M. SYRROU ◽  
K. ZIKOPOULOS ◽  
M. KONSTANTELLI ◽  
...  

2009 ◽  
Vol 18 (4) ◽  
pp. 479-485 ◽  
Author(s):  
Hamid Alizadeh Nili ◽  
Hossein Mozdarani ◽  
Ashraf Aleyasin

2005 ◽  
Vol 11 (2) ◽  
pp. 198-205 ◽  
Author(s):  
Hossein Nasr-Esfahani Mohammad ◽  
Salehi Mohammad ◽  
Razavi Shahnaz ◽  
Anjomshoa Maryam ◽  
Rozbahani Shahla ◽  
...  

2013 ◽  
Vol 13 ◽  
pp. 38
Author(s):  
Anna Kazienko ◽  
Anna Rymaszewska ◽  
Kamil Gill ◽  
Dariusz Gączarzewicz ◽  
Maria Laszczyńska ◽  
...  

2013 ◽  
Vol 80 (9) ◽  
pp. 718-724 ◽  
Author(s):  
Mohammad Salehi ◽  
Hakimeh Akbari ◽  
Mohammad Hassan Heidari ◽  
Aidin Molouki ◽  
Kavitha Murulitharan ◽  
...  

2021 ◽  
Vol 7 ◽  
Author(s):  
Nilendu Paul ◽  
Arumugam Kumaresan ◽  
Mohua Das Gupta ◽  
Pradeep Nag ◽  
Pushpa Rani Guvvala ◽  
...  

Although, it is known that spermatozoa harbor a variety of RNAs that may influence embryonic development, little is understood about sperm transcriptomic differences in relation to fertility, especially in buffaloes. In the present study, we compared the differences in sperm functional attributes and transcriptomic profile between high- and low-fertile buffalo bulls. Sperm membrane and acrosomal integrity were lower (P < 0.05), while protamine deficiency and lipid peroxidation were higher (P < 0.05) in low- compared to high-fertile bulls. Transcriptomic analysis using mRNA microarray technology detected a total of 51,282 transcripts in buffalo spermatozoa, of which 4,050 transcripts were differentially expressed, and 709 transcripts were found to be significantly dysregulated (P < 0.05 and fold change >1) between high- and low-fertile bulls. Majority of the dysregulated transcripts were related to binding activity, transcription, translation, and metabolic processes with primary localization in the cell nucleus, nucleoplasm, and in cytosol. Pathways related to MAPK signaling, ribosome pathway, and oxidative phosphorylation were dysregulated in low-fertile bull spermatozoa. Using bioinformatics analysis, we observed that several genes related to sperm functional attributes were significantly downregulated in low-fertile bull spermatozoa. Validation of the results of microarray analysis was carried out using real-time qPCR expression analysis of selected genes (YBX1, ORAI3, and TFAP2C). The relative expression of these genes followed the same trend in both the techniques. Collectively, this is the first study to report the transcriptomic profile of buffalo spermatozoa and to demonstrate the dysregulation of functionally relevant transcripts in low-fertile bull spermatozoa. The results of the present study open up new avenues for understanding the etiology for poor fertility in buffalo bulls and to identify fertility biomarkers.


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