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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

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

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Author(s):
Pertille, Fabio [1, 2] ; Alvarez-Rodriguez, Manuel [3] ; da Silva, Arthur Nery [1, 4, 5] ; Barranco, Isabel [3, 6, 7] ; Roca, Jordi [6] ; Guerrero-Bosagna, Carlos [1, 8] ; Rodriguez-Martinez, Heriberto [3]
Total Authors: 7
Affiliation:
[1] Linkoping Univ, Dept Phys Chem & Biol, SE-58183 Linkoping - Sweden
[2] Linkoping Univ, Fac Med & Hlth Sci, Div Cell Biol, Dept Biomed & Clin Sci, SE-58183 Linkoping - Sweden
[3] Linkoping Univ, Dept Biomed & Clin Sci BKV, SE-58185 Linkoping - Sweden
[4] Univ Passo Fundo, Sch Agron & Vet Med, BR-99052900 Passo Fundo, RS - Brazil
[5] Univ Sao Paulo, Sch Vet Med & Anim Sci, Dept Vet Med & Anim Hlth, Ctr Comparat Studies Sustainabil Hlth & Welf, FMVZ, BR-13635900 Pirassununga, SP - Brazil
[6] Univ Murcia, Dept Med & Anim Surg, Murcia 30100 - Spain
[7] Univ Girona, Inst Food & Agr Technol, Dept Biol, E-17003 Girona - Spain
[8] Uppsala Univ, Dept Organismal Biol, Environm Toxicol Program, S-75236 Uppsala - Sweden
Total Affiliations: 8
Document type: Journal article
Source: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; v. 22, n. 5 MAR 2021.
Web of Science Citations: 0
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. (AU)

FAPESP's process: 16/20440-3 - Epigenetic analysis of methylation profile of chickens submitted to different stress conditions in the livestock production environment
Grantee:Fábio Pértille
Support type: Scholarships in Brazil - Post-Doctorate
FAPESP's process: 18/13600-0 - Methylome and transcriptome analysis of chickens subjected to illumination stress in the livestock production environment
Grantee:Fábio Pértille
Support type: Scholarships abroad - Research Internship - Post-doctor