Gòdia, Marta and Estill, Molly and Castelló, Anna and Balasch, Sam and Rodríguez-Gil, Joan E. and Krawetz, Stephen A. and Sánchez, Armand and Clop, Alex (2019) A RNA-Seq Analysis to Describe the Boar Sperm Transcriptome and Its Seasonal Changes. Frontiers in Genetics, 10. ISSN 1664-8021
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Abstract
Understanding the molecular basis of cell function and ultimate phenotypes is crucial for the development of biological markers. With this aim, several RNA-seq studies have been devoted to the characterization of the transcriptome of ejaculated spermatozoa in relation to sperm quality and fertility. Semen quality follows a seasonal pattern and decays in the summer months in several animal species. The aim of this study was to deeply profile the transcriptome of the boar sperm and to evaluate its seasonal changes. We sequenced the total and the short fractions of the sperm RNA from 10 Pietrain boars, 5 collected in summer and 5 five sampled in winter, and identified a complex and rich transcriptome with 4,436 coding genes of moderate to high abundance. Transcript fragmentation was high but less obvious in genes related to spermatogenesis, chromatin compaction and fertility. Short non-coding RNAs mostly included piwi-interacting RNAs, transfer RNAs and microRNAs. We also compared the transcriptome of the summer and the winter ejaculates and identified 34 coding genes and 7 microRNAs with a significantly distinct distribution. These genes were mostly related to oxidative stress, DNA damage and autophagy. This is the deepest characterization of the boar sperm transcriptome and the first study linking the transcriptome and the seasonal variability of semen quality in animals. The annotation described here can be used as a reference for the identification of markers of sperm quality in pigs.
Item Type: | Article |
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Subjects: | Open Digi Academic > Medical Science |
Depositing User: | Unnamed user with email support@opendigiacademic.com |
Date Deposited: | 28 Feb 2023 08:57 |
Last Modified: | 17 Jun 2024 06:54 |
URI: | http://publications.journalstm.com/id/eprint/241 |