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Detalle de: Emergence and Evolutionary Analysis of the Human DDR Network: Implications in Comparative Genomics and Downstream Analyses

Title Emergence and Evolutionary Analysis of the Human DDR Network: Implications in Comparative Genomics and Downstream Analyses
Abstract

The DNA damage response (DDR) is a crucial signaling network that preserves the integrity of the genome. This network is an ensemble of distinct but often overlapping subnetworks, where different components fulfill distinct functions in precise spatial and temporal scenarios. To understand how these elements have been assembled together in humans, we performed comparative genomic analyses in 47 selected species to trace back their emergence using systematic phylogenetic analyses and estimated gene ages. The emergence of the contribution of posttranslational modifications to the complex regulation of DDR was also investigated. This is the first time a systematic analysis has focused on the evolution of DDR subnetworks as a whole. Our results indicate that a DDR core, mostly constructed around metabolic activities, appeared soon after the emergence of eukaryotes, and that additional regulatory capacities appeared later through complex evolutionary process. Potential key posttranslational modifications were also in place then, with interacting pairs preferentially appearing at the same evolutionary time, although modifications often led to the subsequent acquisition of new targets afterwards. We also found extensive gene loss in essential modules of the regulatory network in fungi, plants, and arthropods, important for their validation as model organisms for DDR studies.

Apa Reference Arcas, A., Fernández-Capetillo, O., Cases, I., & Rojas, A. M. (2014). Emergence and Evolutionary Analysis of the Human DDR Network: Implications in Comparative Genomics and Downstream Analyses. Molecular Biology and Evolution, 31(4), 940–961. 10.1093/molbev/msu046
Doi 10.1093/molbev/msu046
Publication Date 16 Jan 2014
Publication Type Article
Researcher Ana Rojas
Ontology Large language models, Functional genomics, Structural bioinformatics, Molecular evolution
Research Groups Computational Biology and Bioinformatics (CBBIO.CABD)
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