Proteomic approaches for profiling negative fertility markers in inferior boar spermatozoa

The ability to predict male fertility is of paramount importance for animal breeding industries and for human reproduction. Conventional semen analysis generally provides information on the quantitative parameters of spermatozoa, but yields no information concerning its functional competence. Proteo...

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Bibliographic Details
Published in:Scientific reports 2015-09, Vol.5 (1), p.13821-13821, Article 13821
Main Authors: Kwon, Woo-Sung, Oh, Shin-Ae, Kim, Ye-Ji, Rahman, Md Saidur, Park, Yoo-Jin, Pang, Myung-Geol
Format: Article
Language:English
Subjects:
631/45/475
631/80/86
Animal breeding
Animals
Argipressin
Argipressin receptors
Biomarkers
Fertility
Glutathione peroxidase
Glutathione Peroxidase - metabolism
Glutathione transferase
Hogs
Humanities and Social Sciences
Litter size
Male
multidisciplinary
Protein Transport
Proteins
Proteome
Proteomics
Proteomics - methods
Receptors, Vasopressin - metabolism
Science
Semen
Signal Transduction
Sperm
Spermatozoa - metabolism
Swine
Vasopressin
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Summary:The ability to predict male fertility is of paramount importance for animal breeding industries and for human reproduction. Conventional semen analysis generally provides information on the quantitative parameters of spermatozoa, but yields no information concerning its functional competence. Proteomics have identified candidates for male fertility biomarkers, but no studies have clearly identified the relationship between the proteome and sperm fertility. Therefore, we performed a proteomic analysis to investigate small and large litter size boar spermatozoa and identify proteins related to male fertility. In this study, 20 proteins showed differential expression levels in small and large litter size groups. Nineteen of these proteins exhibited decreased expression in large litter size samples and increased expression in the small litter group. Interestingly, only one protein was highly expressed in the large litter size spermatozoa. We then identified signaling pathways associated with the differentially expressed protein markers. Glutathione S-transferase Mu3 and glutathione peroxidase 4 were related to the glutathione metabolic pathway and arginine vasopressin receptor 2 was linked to vasopressin R2/STAT. In summary, this is the first study to consider negative fertility biomarkers and the identified proteins could potentially be used as biomarkers for the detection of inferior male fertility.
ISSN:2045-2322
2045-2322
DOI:10.1038/srep13821