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Methylation in the CHH Context Allows to Predict Recombination in Rice.
Peñuela, Mauricio; Gallo-Franco, Jenny Johana; Finke, Jorge; Rocha, Camilo; Gkanogiannis, Anestis; Ghneim-Herrera, Thaura; Lorieux, Mathias.
Afiliação
  • Peñuela M; iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali 760031, Colombia.
  • Gallo-Franco JJ; iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali 760031, Colombia.
  • Finke J; iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali 760031, Colombia.
  • Rocha C; iÓMICAS, Facultad de Ingeniería y Ciencias, Pontificia Universidad Javeriana, Cali 760031, Colombia.
  • Gkanogiannis A; The Alliance of Bioversity International and the International Center for Tropical Agriculture (CIAT), Palmira 763537, Colombia.
  • Ghneim-Herrera T; Departamento de Ciencias Biológicas, Universidad ICESI, Cali 760031, Colombia.
  • Lorieux M; DIADE, University of Montpellier, CIRAD, IRD, 34394 Montpellier, France.
Int J Mol Sci ; 23(20)2022 Oct 19.
Article em En | MEDLINE | ID: mdl-36293364
DNA methylation is the most studied epigenetic trait. It is considered a key factor in regulating plant development and physiology, and has been associated with the regulation of several genomic features, including transposon silencing, regulation of gene expression, and recombination rates. Nonetheless, understanding the relation between DNA methylation and recombination rates remains a challenge. This work explores the association between recombination rates and DNA methylation for two commercial rice varieties. The results show negative correlations between recombination rates and methylated cytosine counts for all contexts tested at the same time, and for CG and CHG contexts independently. In contrast, a positive correlation between recombination rates and methylated cytosine count is reported in CHH contexts. Similar behavior is observed when considering only methylated cytosines within genes, transposons, and retrotransposons. Moreover, it is shown that the centromere region strongly affects the relationship between recombination rates and methylation. Finally, machine learning regression models are applied to predict recombination using the count of methylated cytosines in the CHH context as the entrance feature. These findings shed light on the understanding of the recombination landscape of rice and represent a reference framework for future studies in rice breeding, genetics, and epigenetics.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Oryza Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Int J Mol Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: Colômbia País de publicação: Suíça