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

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 po...

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Autores principales: Pértille, Fabio, Alvarez-Rodriguez, Manuel, da Silva, Arthur Nery, Barranco, Isabel, Roca, Jordi, Guerrero-Bosagna, Carlos, Rodriguez-Martinez, Heriberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961483/
https://www.ncbi.nlm.nih.gov/pubmed/33800945
http://dx.doi.org/10.3390/ijms22052679
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author Pértille, Fabio
Alvarez-Rodriguez, Manuel
da Silva, Arthur Nery
Barranco, Isabel
Roca, Jordi
Guerrero-Bosagna, Carlos
Rodriguez-Martinez, Heriberto
author_facet Pértille, Fabio
Alvarez-Rodriguez, Manuel
da Silva, Arthur Nery
Barranco, Isabel
Roca, Jordi
Guerrero-Bosagna, Carlos
Rodriguez-Martinez, Heriberto
author_sort Pértille, Fabio
collection PubMed
description 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.
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spelling pubmed-79614832021-03-17 Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model Pértille, Fabio Alvarez-Rodriguez, Manuel da Silva, Arthur Nery Barranco, Isabel Roca, Jordi Guerrero-Bosagna, Carlos Rodriguez-Martinez, Heriberto Int J Mol Sci Article 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. MDPI 2021-03-06 /pmc/articles/PMC7961483/ /pubmed/33800945 http://dx.doi.org/10.3390/ijms22052679 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Pértille, Fabio
Alvarez-Rodriguez, Manuel
da Silva, Arthur Nery
Barranco, Isabel
Roca, Jordi
Guerrero-Bosagna, Carlos
Rodriguez-Martinez, Heriberto
Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title_full Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title_fullStr Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title_full_unstemmed Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title_short Sperm Methylome Profiling Can Discern Fertility Levels in the Porcine Biomedical Model
title_sort sperm methylome profiling can discern fertility levels in the porcine biomedical model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7961483/
https://www.ncbi.nlm.nih.gov/pubmed/33800945
http://dx.doi.org/10.3390/ijms22052679
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