Literature DB >> 33800945

Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model.

Fabio Pértille1, Manuel Alvarez-Rodriguez2, Arthur Nery da Silva1,3, Isabel Barranco2,4, Jordi Roca4, Carlos Guerrero-Bosagna1,5, Heriberto Rodriguez-Martinez2.   

Abstract

A combined Genotyping By Sequencing (GBS) and methylated DNA immunoprecipitation (MeDIP) protocol was used to identify-in parallel-genetic variation (Genomic-Wide Association Studies (GWAS) and epigenetic differences of Differentially Methylated Regions (DMR) in the genome of spermatozoa from the porcine animal model. Breeding boars with good semen quality (n = 11) and specific and well-documented differences in fertility (farrowing rate, FR) and prolificacy (litter size, LS) (n = 7) in artificial insemination programs, using combined FR and LS, were categorized as High Fertile (HF, n = 4) or Low Fertile (LF, n = 3), and boars with Unknown Fertility (UF, n = 4) were tested for eventual epigenetical similarity with those fertility-proven. We identified 165,944 Single Nucleotide Polymorphisms (SNPs) that explained 14-15% of variance among selection lines. Between HF and LF individuals (n = 7, 4 HF and 3 LF), we identified 169 SNPs with p ≤ 0.00015, which explained 58% of the variance. For the epigenetic analyses, we considered fertility and period of ejaculate collection (late-summer and mid-autumn). Approximately three times more DMRs were observed in HF than in LF boars across these periods. Interestingly, UF boars were clearly clustered with one of the other HF or LF groups. The highest differences in DMRs between HF and LF experimental groups across the pig genome were located in the chr 3, 9, 13, and 16, with most DMRs being hypermethylated in LF boars. In both HF and LF boars, DMRs were mostly hypermethylated in late-summer compared to mid-autumn. Three overlaps were detected between SNPs (p ≤ 0.0005, n = 1318) and CpG sites within DMRs. In conclusion, fertility levels in breeding males including FR and LS can be discerned using methylome analyses. The findings in this biomedical animal model ought to be applied besides sire selection for andrological diagnosis of idiopathic sub/infertility.

Entities:  

Keywords:  artificial insemination; fertility; genotyping by sequencing (GBS); methylated DNA immunoprecipitation (MeDIP); pig; prolificacy; spermatozoa

Year:  2021        PMID: 33800945      PMCID: PMC7961483          DOI: 10.3390/ijms22052679

Source DB:  PubMed          Journal:  Int J Mol Sci        ISSN: 1422-0067            Impact factor:   5.923


  6 in total

Review 1.  Seminal Plasma: Relevant for Fertility?

Authors:  Heriberto Rodriguez-Martinez; Emilio A Martinez; Juan J Calvete; Fernando J Peña Vega; Jordi Roca
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

Review 2.  How Epigenetics Can Enhance Pig Welfare?

Authors:  Arthur Nery da Silva; Michelle Silva Araujo; Fábio Pértille; Adroaldo José Zanella
Journal:  Animals (Basel)       Date:  2021-12-24       Impact factor: 2.752

Review 3.  Non-coding RNAs and chromatin: key epigenetic factors from spermatogenesis to transgenerational inheritance.

Authors:  Carolina Cheuquemán; Rodrigo Maldonado
Journal:  Biol Res       Date:  2021-12-20       Impact factor: 5.612

4.  Effects of sperm DNA methylation on domesticated animal performance and perspectives on cross-species epigenetics in animal breeding.

Authors:  Siyuan Mi; Siqian Chen; Wenlong Li; Lingzhao Fang; Ying Yu
Journal:  Anim Front       Date:  2021-12-17

5.  GBS-MeDIP: A protocol for parallel identification of genetic and epigenetic variation in the same reduced fraction of genomes across individuals.

Authors:  Shiva Rezaei; Julia Uffenorde; Oliver Gimm; Mohammad Ali Hosseinpour Feizi; Stefan Miemczyk; Luiz Lehmann Coutinho; Per Jensen; Carlos Guerrero-Bosagna; Fábio Pértille
Journal:  STAR Protoc       Date:  2022-03-03

6.  Predicting male fertility from the sperm methylome: application to 120 bulls with hundreds of artificial insemination records.

Authors:  Valentin Costes; Aurélie Chaulot-Talmon; Eli Sellem; Jean-Philippe Perrier; Anne Aubert-Frambourg; Luc Jouneau; Charline Pontlevoy; Chris Hozé; Sébastien Fritz; Mekki Boussaha; Chrystelle Le Danvic; Marie-Pierre Sanchez; Didier Boichard; Laurent Schibler; Hélène Jammes; Florence Jaffrézic; Hélène Kiefer
Journal:  Clin Epigenetics       Date:  2022-04-27       Impact factor: 7.259

  6 in total

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