Periodic Reporting for period 2 - METHYLEVOL (Deciphering the evolution and roles of cytosine DNA methylation across eukaryotes)
Período documentado: 2023-03-01 hasta 2024-08-31
This work is in principle basic research, aimed at questioning our assumptions on an important biological process that is currently critically studied to understand cancer and development in mammals. By using non-conventional model systems we will further characterise what is unique of this gene regulatory mechanism in mammals, and why it evolved to achieve such complex roles, including imprinting, X-chromosome inactivation and control over genomic parasites. In parallel, mechanistic understanding on alternative DNA methylation pathways in eukaryotes would bring potential biotechnological innovations. Some of the genes that can read or write DNA methylation on distantly related organisms can be applied in mammalian synthetic biology approaches, superimposing a new code on top of DNA without modifying the underlying sequence.
We have also brought technological advancements to the field. While many studies limited their sampling of DNA methylation to antibodies and bisulfite conversion based techniques, each with their inherent biases, we have adopted a couple of new emerging technologies that provide orthogonal validation and ease of use. This include Enzymatic Methyl-sequencing, which allows to profile cytosine methylation without the damaging potential of bisulfites treatment. However, some reports suggested that Enzymatic Methyl-seq could be biased by DNA sequence composition. We confirm that is rarely the case in our samples, which contain very variable methylation contexts and patterns, and come from highly divergent organisms. Furthermore, we have included the latest advancements in Nanopore sequencing technologies to the study of DNA methylation across species. This sequencing technique is being adopted for genome sequencing for its flexibility and ease of use, however, its application to the study of base modifications was mostly restricted to mammalian cells. We validate this technique in many new lineages, opening the gates for further applications of this promising technology to any new genome.
Some of the goals and objectives are still ongoing. Despite the preliminary data is exciting, we need to validate our findings to corroborate these observations. However, we foresee that at the end of this project, our understanding of DNA Methylation evolution and its roles will change drastically. Given the large number of researchers that use or could use DNA methylation information in their research, a proper and rigorous understanding on what it might be doing in their model system of choice is crucial for correct interpretation of their data.