Identification of biomarker candidates for fertility in spermatozoa of crossbred bulls through comparative proteomics

Theriogenology. 2018 Oct 1:119:43-51. doi: 10.1016/j.theriogenology.2018.06.021. Epub 2018 Jun 27.

Abstract

Associations between expression of some proteins in spermatozoa and fertility have been sought in recent years to identify the male fertility markers. Since the incidence of sub-fertility is high in crossbred bulls, the present investigation was carried out on high- and low-fertile crossbred bulls to identify fertility markers in spermatozoa through proteomics approach. Sperm proteome of high-fertile bulls were compared with low-fertile bulls using 2D-DIGE and MALDI-TOF-MS techniques and the results were validated with immuno-blotting. The proteins MDH2, ENO1, RIBC1, CAPN7, ATP5D, LacA like protein-2 like, NCAPD3, DECR1, GCNT2, GDI2, TOP and USP12 were over expressed in high-fertile spermatozoa, whereas DST like isoform 1, TMEM43 and BSP1 were over expressed in low-fertile spermatozoa (P < 0.05). The differential expression ranged from 1.57 (GDI2) to 5.1 (BSP1) fold between the two groups. Based on the GO annotation, majority of them were involved in cellular and metabolic processes, with catalytic and binding activities, and localized in cell and organelles. Among these proteins, ENO1 and BSP1 were selected based on the degree of differential expression and reliability in identification, for further validation. Immuno-blotting studies indicated that ENO1expression was positively correlated (P < 0.05) while the expression of BSP1 was negatively (P < 0.01) correlated with bull fertility. The proportion of capacitated spermatozoa in frozen thawed spermatozoa of low-fertile bulls was higher (P < 0.05) as compared to high-fertile bulls. Collectively, the study identified some potential molecules in spermatozoa of bulls, which may act as a panel of biomarkers for fertility.

Keywords: 2D-DIGE; Crossbred bulls; Fertility biomarkers; Infertility; Sperm proteomics.

MeSH terms

  • Animals
  • Biomarkers / blood
  • Cattle / blood*
  • Cattle / genetics
  • Computational Biology
  • Fertility / physiology*
  • Gene Expression Regulation
  • Male
  • Proteomics / methods*
  • Spermatozoa / physiology*

Substances

  • Biomarkers