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

Autor(es)

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]

Afiliação do(s) autor(es)

^[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

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES; v. 22, n. 5 MAR 2021.
• Citações Web of Science: 0

Resumo

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)

• Processo FAPESP: 16/20440-3 - Análise epigenética de perfil de metilação em frangos submetidos à condições de estresse no ambiente de produção
• Beneficiário: Fábio Pértille
• Modalidade de apoio: Bolsas no Brasil - Pós-Doutorado
• Processo FAPESP: 18/13600-0 - Análise do metiloma e transcriptoma de galinhas submetidas a estresse de iluminação no ambiente de produção pecuária
• Beneficiário: Fábio Pértille
• Modalidade de apoio: Bolsas no Exterior - Estágio de Pesquisa - Pós-Doutorado