| Autor: |
Ispada J; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil.; Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, Brazil., da Fonseca Junior AM; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil., Santos OLR; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil., Bruna de Lima C; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil.; Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, Brazil.; Centre de Recherche en Reproduction, Développement et Santé Intergénérationnelle (CRDSI), Département des Sciences Animales, Faculté des Sciences de l'Agriculture et de l'Alimentation, Université Laval, Quebec, Canada., Dos Santos EC; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil., da Silva VL; Bioinformatics and Health Informatics Group, Center for Engineering, Modeling and Applied Social Sciences, Universidade Federal do ABC, São Bernardo do Campo, São Paulo, Brazil., Almeida FN; Center for Mathematics Computation and Cognition, Universidade Federal do ABC, Santo André, São Paulo, Brazil., de Castro Leite S; Bioinformatics and Health Informatics Group, Center for Engineering, Modeling and Applied Social Sciences, Universidade Federal do ABC, São Bernardo do Campo, São Paulo, Brazil., Juan Ross P; Department of Animal Science, University of California Davis, Davis, California, USA., Milazzotto MP; Laboratory of Embryonic Metabolism and Epigenetics, Center of Natural Sciences and Humanities, Universidade Federal do ABC, Santo André, São Paulo, Brazil.; Institute of Biomedical Sciences, Universidade de São Paulo, São Paulo, Brazil. |
| Abstrakt: |
Metabolic and molecular profiles were reported as different for bovine embryos with distinct kinetics during the first cleavages. In this study, we used this same developmental model (fast vs slow) to determine if the relationship between metabolism and developmental kinetics affects the levels of acetylation or tri-methylation at histone H3 lysine 9 (H3K9ac and H3K9me3, respectively). Fast and slow developing embryos presented different levels of H3K9ac and H3K9me3 from the earliest stages of development (40 and 96 hpi) and up to the blastocyst stage. For H3K9me3, both groups of embryos presented a wave of demethylation and de novo methylation, although it was more pronounced in fast than slow embryos, resulting in blastocysts with higher levels of this mark. The H3K9ac reprogramming profile was distinct between kinetics groups. While slow embryos presented a wave of deacetylation, followed by an increase in this mark at the blastocyst stage, fast embryos reduced this mark throughout all the developmental stages studied. H3K9me3 differences corresponded to writer and eraser transcript levels, while H3K9ac patterns were explained by metabolism-related gene expression. To verify if metabolic differences could alter levels of H3K9ac, embryos were cultured with sodium-iodoacetate (IA) or dichloroacetate (DCA) to disrupt the glycolytic pathway or increase acetyl-CoA production, respectively. IA reduced H3K9ac while DCA increased H3K9ac in blastocysts. Concluding, H3K9me3 and H3K9ac patterns differ between embryos with different kinetics, the second one explained by metabolic pathways involved in acetyl-CoA production. So far, this is the first study demonstrating a relationship between metabolic differences and histone post-translational modifications in bovine embryos. |
