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Detalle de: Differences in firing efficiency, chromatin and transcription underlie the developmental plasticity of the Arabidopsis originome

Title Differences in firing efficiency, chromatin and transcription underlie the developmental plasticity of the Arabidopsis originome
Abstract

Eukaryotic genome replication depends on thousands of DNA replication origins (ORIs) that constitute the originome. A major challenge is to learn ORI biology in multicellular organisms in the context of growing organs to understand their developmental plasticity. We have determined the originome and chromatin landscape of Arabidopsis thaliana at two stages of postembryonic development. ORIs associate with multiple chromatin signatures including TSS but also regulatory regions and heterochromatin, where ORIs colocalize with retrotransposons. In addition, quantitative analysis of ORI activity led us to conclude that strong ORIs have high GC content and clusters of GGN trinucleotides. Development primarily influences ORI firing strength rather than ORI location. ORIs that preferentially fire at early developmental stages colocalize with GC-rich heterochromatin whereas at later stages with transcribed genes, perhaps as a consequence of changes in chromatin features associated with developmental processes. Our study provides the originome of an organism at the postembryo stage that should allow us to study ORI biology in response to development, environment and mutations with a quantitative approach. In a wider scope, the computational strategies developed here can be transferred to other eukaryotic systems.

Apa Reference Sequeira-Mendes, J., Vergara, Z., Peiró, R., Morata, J., Aragüez, I., Costas, C., Mendez-Giraldez, R., Casacuberta, J. M., Bastolla, U., & Gutierrez, C. (2018). Differences in firing efficiency, chromatin and transcription underlie the developmental plasticity of the Arabidopsis originome. 10.1101/258301
Doi 10.1101/258301
Publication Date 1 Feb 2018
Publication Type Preprint
Researcher Ugo Bastolla
Ontology Development
Research Groups Computational biology and Bioinformatics (CBM): from Proteins to Ecosystems
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