Abstract

Bull fertility is an important trait in breeding as the semen of one bull can, potentially, be used to perform thousands of inseminations. The high number of inseminations needed to obtain reliable measures from Non-Return Rates to oestrus creates difficulties in assessing fertility accurately. Improving molecular knowledge of seminal properties may provide ways to facilitate selection of bulls with good semen quality. In this study, liquid chromatography mass spectrometry (LC-MS/MS) was used to analyze the protein content from the seminal plasma of 20 bulls with Non-Return Rates between 35 and 60%, sampled across three seasons. Overall, 1343 proteins were identified and proteins with consistent correlation to fertility across multiple seasons found. From these, nine protein groups had a significant Pearson correlation (p < 0.1) with fertility in all three seasons and 34 protein groups had a similar correlation in at least two seasons. Among notable proteins showing a high and consistent correlation across seasons were Osteopontin, a lipase (LIPA) and N-acetylglucosamine-1phosphotransferase subunit gamma. Three proteins were combined in a multiple linear regression to predict fertility (r = 0.81). These sets of proteins represent potential markers, which could be used by the breeding industry to phenotype bull fertility. SignificanceThe ability of bull spermatozoa to fertilize oocytes is crucial for breeding efficiency. However, the reliability of this trait from field measures is relatively low and the prediction of fertility given by conventional methods to evaluate sperm quality is currently not very accurate. In this work, we identify sets of proteins in bull seminal plasma from repeated samples collected at different times of the year that correlate to fertility in a consistent way. We combined these individual proteins to build a molecular signature predictive of fertility. This study provides an overview of proteins linked to fertility in seminal plasma, thereby increasing knowledge of the bull seminal plasma proteome. Protein signatures from the latter, potentially related to fertility, may be of use to predict fertility for individual bulls.

Highlights

  • Bull fertility is a crucial trait for breeding companies, with a considerable impact on the dairy herd economy

  • An overview of the seminal plasma proteome was obtained from the analysis of proteomics data from the three seasons

  • Principal Component Analysis (PCA) from the full dataset revealed that season has the strongest main effect

Read more

Summary

Introduction

Bull fertility is a crucial trait for breeding companies, with a considerable impact on the dairy herd economy. Due to numerous confounding factors and biases related mostly to the type of female inseminated and the effects of the envi­ ronment, high numbers of AIs are necessary to obtain reliable estimates for bull fertility [1] This was previously a source of limitation for the breeding companies as reliable fertility estimates were obtained from accumulating data over several years, by which time the bull was no longer in use for AI. Since semen from some bulls with a superior genetic potential can still be used for thousands of AI, it is crucial to maintain high fertility standards even for younger bulls For these young individuals, only limited data from AIs are available. Today, the predictive value of conventional sperm quality traits is usually considered to be low [3]

Methods
Results
Discussion
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call