Discovery of Predictive Biomarkers for Litter Size in Boar Spermatozoa

Conventional semen analysis has been used for prognosis and diagnosis of male fertility. Although this tool is essential for providing initial quantitative information about semen, it remains a subject of debate. Therefore, development of new methods for the prognosis and diagnosis of male fertility should be seriously considered for animal species of economic importance as well as for humans. In the present study, we applied a comprehensive proteomic approach to identify global protein biomarkers in boar spermatozoa in order to increase the precision of male fertility prognoses and diagnoses. We determined that l-amino acid oxidase, mitochondrial malate dehydrogenase 2, NAD (MDH2), cytosolic 5′-nucleotidase 1B, lysozyme-like protein 4, and calmodulin (CALM) were significantly and abundantly expressed in high-litter size spermatozoa. We also found that equatorin, spermadhesin AWN, triosephosphate isomerase (TPI), Ras-related protein Rab-2A (RAB2A), spermadhesin AQN-3, and NADH dehydrogenase ubiquinone] iron-sulfur protein 2 (NDUFS2) were significantly and abundantly expressed in low-litter size spermatozoa (>3-fold). Moreover, RAB2A, TPI, and NDUFS2 were negatively correlated with litter size, whereas CALM and MDH2 were positively correlated. This study provides novel biomarkers for the prediction of male fertility. To the best of our knowledge, this is the first work that shows significantly increased litter size using male fertility biomarkers in a field trial. Moreover, these protein markers may provide new developmental tools for the selection of superior sires as well as for the prognosis and diagnosis of male fertility.Prognosis and diagnosis of male fertility is a major concern in both animals and humans worldwide. In humans, about half of the fertility problems arise because of male factors. In addition, 50% of breeding system failures that are contributed by the sire lead to huge economic drawbacks in the animal industry (1 –5). Therefore, the development of new methods is needed to ensure more accurate prognosis and diagnosis of male fertility.Worldwide, artificial insemination (AI)¹ has been extensively performed in animal industries. Recent data revealed that more than 90% of the sows in Europe and the United States have been bred using AI during last three decades (6). The AI system sufficiently contributes to the achievement of high performance swine production through the selection of quality semen. Moreover, AI has been implemented extensively in swine industries for genetic up-grading (7, 8). However, the selection of high quality semen still depends on conventional sperm analyses such as the analysis of sperm morphology (9), motility (10), and sperm penetration assays (11, 12). Although these tests are commonly used to evaluate the male factor of fertility/infertility, the clinical value is still debated (13). Therefore, to evaluate the limits of conventional sperm analyses, the development of new methods to assess sperm function and fertility should be seriously considered for animal species of economic importance as well as for humans. Additionally, it is important to note that the optimization of sperm production will be possible when the methods to choose superior sires with greater efficiency become available. In this regard, the identification of global protein biomarkers using comprehensive proteomic tools represents a new method on the horizon that may facilitate the prediction of superior sires.Recently, several studies have reported that proteomics is an effective tool that has the potential to transform our understanding of spermatozoa (14 –16) by acquiring new biomarkers of male infertility and/or fertility. In addition, the development of mass spectrometry (MS) allows the potential identification of sperm proteins (17, 18). In fact, increased knowledge of the sperm proteome allows us to identify new molecular markers.In this study, we used high- and low-litter size boar spermatozoa to develop suitable biomarkers. First, sperm motility (%), motion characteristics, and capacitation status were evaluated by computer-assisted sperm analysis (CASA) and combined Hoechst 33258/chlortetracycline fluorescence assessment. Second, to find deferentially expressed proteins (>threefold) between high- and low-litter size boar spermatozoa, a 2-DE proteomic approach was applied following the identification of proteins by ESI-MS/MS and a MASCOT search. The 2-DE results were confirmed by a Western blot analysis that was performed with five commercially available antibodies. Third, to validate discovered markers for male fertility prediction, the expression levels of five proteins from 20 randomly selected boar spermatozoa with broad fertility ranges (i.e. litter size) were analyzed by enzyme-linked immunosorbent assay (ELISA), and the relationship between protein expression and male fertility was determined. Moreover, to represent the entire proteomic event, biological functions and interactions of the deferentially expressed proteins were schematized by a signaling pathway.