A RNA-Seq Analysis to Describe the Boar Sperm Transcriptome and Its Seasonal Changes

Gòdia, Marta; Estill, Molly; Castelló, Anna; Balasch, Sam; Rodríguez‐Gil, Joan E.; Krawetz, Stephen A.; Sánchez, Armand; Clop, Alex

doi:10.3389/fgene.2019.00299

Cited by 56 publications

(50 citation statements)

References 85 publications

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“…Apoptosis regulates spermatogenesis (Wang, Li, Gong, Zhao, & Wu, ) and spontaneous programmed cell death in mature spermatozoa (Aitken & Baker, ; Engel, Springsguth, & Grunewald, ). Through analysis of miRNAs in sperm samples, researchers demonstrated their expression patterns in spermatozoa in different mammals including human (Heidary, Zaki‐Dizaji, Saliminejad, & Khorram Khorshid, ; Krawetz et al, ), boar (Godia et al, ), mouse (Hutcheon et al, ) and bull (Fagerlind et al, ). However, changes in miRNA levels and the expression of target genes of those miRNAs controlling apoptosis in bull spermatozoa remain poorly understood.…”

Section: Discussionmentioning

confidence: 99%

Sperm miR‐15a and miR‐29b are associated with bull fertility

et al. 2019

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MicroRNAs modulate male fertility by regulating gene expression. In this study, dynamics of sperm miR-15a, miR-29b and miR-34a from high fertility (HF) and low fertility (LF) bulls using RT-qPCR were evaluated. Bioinformatic tools were employed to ascertain genes of interest of the sperm miRNAs. The expression levels of p53, BCL2, BAX and DNMT1 in bull spermatozoa were determined by immunoblotting.MicroRNA levels of miR-15a and miR-29 were higher in LF sires when compared with those present in HF bulls. Expression levels of miR-34a did not differ between the two groups. We found an inverse correlation between miR-15a and bull fertility.MiR29-b was also negatively associated with fertility scores. BCL2 and DNMT1 were higher in HF bulls while BAX was higher in the LF group. Our data showed a positive correlation between BCL2 and bull fertility. In addition, DNMT1 was positively associated with bull fertility. Furthermore, levels of BAX were negatively linked with bull fertility scores. Identification of miRNAs found in the spermatozoa of sires with different in vivo fertility helps understand the alterations in the fertilising capacity from cattle and other mammals. These potential biomarkers can be used in reproductive biotechnology as fertility markers to assess semen quality and predict male fertility. K E Y W O R D S male fertility, microRNA, real-time quantitative RT-PCR, sperm How to cite this article: Menezes ESB, Badial PR, El Debaky H, et al. Sperm miR-15a and miR-29b are associated with bull fertility. Andrologia. 2020;52:e13412. https ://doi.

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Section: Discussionmentioning

confidence: 99%

Sperm miR‐15a and miR‐29b are associated with bull fertility

et al. 2019

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“…The high prevalence of PRM1, HMGB4, and SMCP mRNAs in stallion spermatozoa agrees with data from human, bovine, and boar spermatozoa. 19,[43][44][45] The largest functional group within the most common mRNAs in stallion spermatozoa encode ribosomal proteins and translation factors involved in translation, which is conserved in both human and Drosophila spermatozoa. 46 Thus, it appears that many prevalent gene products in spermatozoa are conserved across species.…”

Section: Discussionmentioning

confidence: 99%

“…35,48 However, a study of boar spermatozoa reported few lncRNAs and that they had low levels of expression. 19 Another study created a database for RNAs in mouse, rat, rabbit, and human spermatozoa, but failed to report lncRNAs even though those sequences were available in their RNA sequencing data. 49 In total, this illustrates that differences between studies in identification and reporting of lncRNAs make comparisons between studies problematic.…”

Section: Discussionmentioning

confidence: 99%

“…Mammalian spermatozoa carry more than 10 000 different RNAs and deliver them to the oocyte at conception. [16][17][18][19] Measuring the levels of specific RNAs in spermatozoa may lead to the development of novel assays that can predict the fertility of individual animals. All of the long RNAs in spermatozoa, including ribosomal RNAs, are degraded by an unknown mechanism to an average size of 250 bases.…”

Section: Introductionmentioning

confidence: 99%

“…[20][21][22] Some naturally short mRNAs that are important to spermiogenesis, including the one that encodes protamine 1 (PRM1 mRNA, 426 bases), may be intact in spermatozoa. 19,[23][24][25] Even though it is not likely that mRNAs are translated in spermatozoa, the fragmented mRNAs have been proposed to reflect the developmental health and functional competence of spermatozoa. 21,22 Studies of human and livestock spermatozoa have found that concentrations of specific mRNAs correlate with fertility.…”

Section: Introductionmentioning

confidence: 99%

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Identification and quantification of coding and long non‐coding RNAs in stallion spermatozoa separated by density

Ing

Konganti²,

Ghaffari

et al. 2020

Andrology

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Background It is not unusual for stallions to have fertility problems. For many, artificial insemination with more dense spermatozoa (isolated by density gradient centrifugation) results in greater pregnancy rates compared with the rates when using unfractionated spermatozoa. RNAs in spermatozoa delivered to the oocyte at conception are required for embryo development. Novel molecular assays of spermatozoa that reflect function are needed to predict the fertility of stallions. Objectives To describe and compare the RNA populations in more dense and less dense spermatozoa from stallions. Materials and methods Spermatozoa from five stallions were separated into more dense and less dense populations by density gradient centrifugation. Complementary DNA libraries were made from each of the ten total RNA samples after ribosomal RNA removal. Next‐generation sequencing characterized the RNA populations in more and less dense spermatozoa. Quantitative reverse transcription‐PCR was used to confirm differential expression of selected RNAs. Results Stallion spermatozoa contain 11 215 RNAs, with the most prevalent RNA being a 1492 base long non‐coding RNA. The levels of 159 RNAs were greater in more dense spermatozoa, while levels of seven other RNAs were greater in less dense spermatozoa. Quantitative reverse transcription‐PCR confirmed the threefold greater levels of solute carrier family 26 member 8 (SLC26A8) mRNA in less dense spermatozoa, and sixfold and threefold greater expression levels of the SCP2 sterol binding domain containing 1 (SCP2D1) and spermatogenesis‐associated protein 31D1 (SPATA31D1) mRNAs in more dense spermatozoa, respectively. Discussion and conclusion We identified 11 215 RNAs in stallion spermatozoa and 166 with differential expression between more dense and less dense fractions. Many prevalent RNAs were also found in bull, boar, and human spermatozoa. Many differentially expressed RNAs are known to be testis‐ or spermatozoa‐specific. Our results may lead to identification of an RNA population in spermatozoa that is optimal for establishing successful pregnancies.

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Preimplantation embryo gene expression: 56 years of discovery, and counting

Latham

2023

Molecular Reproduction Devel

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The biology of preimplantation embryo gene expression began 56 years ago with studies of the effects of protein synthesis inhibition and discovery of changes in embryo metabolism and related enzyme activities. The field accelerated rapidly with the emergence of embryo culture systems and progressively evolving methodologies that have allowed early questions to be re-addressed in new ways and in greater detail, leading to deeper understanding and progressively more targeted studies to discover ever more fine details. The advent of technologies for assisted reproduction, preimplantation genetic testing, stem cell manipulations, artificial gametes, and genetic manipulation, particularly in experimental animal models and livestock species, has further elevated the desire to understand preimplantation development in greater detail. The questions that drove enquiry from the earliest years of the field remain drivers of enquiry today. Our understanding of the crucial roles of oocyteexpressed RNA and proteins in early embryos, temporal patterns of embryonic gene expression, and mechanisms controlling embryonic gene expression has increased exponentially over the past five and a half decades as new analytical methods emerged. This review combines early and recent discoveries on gene regulation and expression in mature oocytes and preimplantation stage embryos to provide a comprehensive understanding of preimplantation embryo biology and to anticipate exciting future advances that will build upon and extend what has been discovered so far.

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A RNA-Seq Analysis to Describe the Boar Sperm Transcriptome and Its Seasonal Changes

Cited by 56 publications

References 85 publications

Sperm miR‐15a and miR‐29b are associated with bull fertility

Sperm miR‐15a and miR‐29b are associated with bull fertility

Identification and quantification of coding and long non‐coding RNAs in stallion spermatozoa separated by density

Preimplantation embryo gene expression: 56 years of discovery, and counting

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