Abstract
The RAG recombinase is a domesticated transposable element co-opted in jawed vertebrates to drive the process of the so-called V(D)J recombination,which is the hallmark of the adaptive immune system to produce antigen receptors. RAG targets, namely, the Recombination Signal Sequences (RSS), are rather long and degenerated sequences,which highlights the ability of the recombinase to interact with a wide range of target sequences, including outside of antigen receptor loci. The recognition of such cryptic targets by the recombinase threatens genome integrity by promoting aberrant DNA recombination, as observed in lymphoid malignancies. Genomes evolution resulting from RAG acquisition is an ongoing discussion, in particular regarding the counter-selection of sequences resembling the RSS and themodifications of epigenetic regulation at these potential cryptic sites. Here, we describe a new bioinformatics tool tomap potential RAG targets in all jawed vertebrates. We show that our REcombination Classifier (REC) outperforms the currently available tool and is suitable for full genomesscans fromspecies other than humanandmouse. Using the REC,we document a reduction in density of potential RAGtargets at the transcription start sites of genes co-expressed with the rag genes and marked with high levels of the trimethylation of the lysine 4 of the histone 3 (H3K4me3), which correlates with the retention of functional RAG activity after the horizontal transfer.
Original language | English |
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Pages (from-to) | 3364-3376 |
Number of pages | 13 |
Journal | Genome Biology and Evolution |
Volume | 8 |
Issue number | 11 |
DOIs | |
Publication status | Published - Nov 2016 |
Externally published | Yes |
Keywords
- Bioinformatic RSS classifier
- Cryptic RSS
- Motif evolution
- Recombination Classifier