Abstract
Composition of sperm biomolecules and their function in domestic animals has not been detailed yet. Unlike somatic cells, sperm contains low quantity of biologically degraded RNAs, extraction and profiling of total RNA from sperm become challenging to the reproductive biologists. Sperm RNAs are extracted using cocktail of lysis solution and successfully profiled employing various RNA sequencing platforms. Bioinformatic pipeline has been standardized for the analysis of sperm transcriptome data. Emerging evidences suggest that sperm RNAs can be of potential markers to assess the spermatogenic events and success of the fertilization process. Sperm RNAs are also potential candidates to predict successful embryonic development, pregnancy maintenance as well as the health and well-being of the offspring. In human sperm, RNA elements are reported to have diagnostic ability in predicting the success of assisted reproductive technologies. Thus, sperm RNA profiling can be a non-invasive method for predicting fertility of bulls. In future, this may become an initial step for screening bulls for breeding program.
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Selvaraju, S. et al. (2022). Sperm Transcriptome Sequencing for Predicting Bull Fertility: Concepts, Facts and Future Directions. In: Kumaresan, A., Srivastava, A.K. (eds) Frontier Technologies in Bovine Reproduction. Springer, Singapore. https://doi.org/10.1007/978-981-19-3072-0_7
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DOI: https://doi.org/10.1007/978-981-19-3072-0_7
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