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Molecular Evolution of the Tre Recombinase
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RAG Recombinase as a Selective Pressure for Genome Evolution.

D Passagem-Santos1, M Bonnet1, D Sobral1

  • 1Instituto Gulbenkian de Ciência, Oeiras, Portugal.

Genome Biology and Evolution
|December 17, 2016
PubMed
Summary
This summary is machine-generated.

A new bioinformatics tool, REcombination Classifier (REC), identifies potential RAG target sites across vertebrate genomes. This tool helps understand genome evolution and RAG-mediated DNA recombination risks, outperforming existing methods.

Keywords:
Bioinformatic RSS classifierCryptic RSSRecombination Classifiermotif evolution

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Area of Science:

  • Genetics
  • Molecular Biology
  • Bioinformatics

Background:

  • The RAG recombinase enzyme is crucial for V(D)J recombination in jawed vertebrates, essential for adaptive immunity.
  • RAG targets, Recombination Signal Sequences (RSS), are degenerate, allowing interaction with non-canonical sites, posing a risk to genome integrity.
  • Aberrant RAG activity can lead to DNA recombination and lymphoid malignancies.

Purpose of the Study:

  • To develop a novel bioinformatics tool for mapping potential RAG target sites in jawed vertebrate genomes.
  • To assess the tool's performance against existing methods and its applicability across diverse species.
  • To investigate the evolutionary dynamics of RAG targets and their genomic context.

Main Methods:

  • Development of the REcombination Classifier (REC) bioinformatics tool.
  • Genome-wide scanning for potential RAG target sequences using REC.
  • Comparative analysis of REC performance with existing RAG target prediction tools.
  • Analysis of RAG target site distribution in relation to gene expression and epigenetic marks (H3K4me3).

Main Results:

  • The REcombination Classifier (REC) demonstrates superior performance in identifying potential RAG targets compared to current tools.
  • REC is effective for analyzing genomes beyond human and mouse.
  • A reduced density of potential RAG targets was observed at transcription start sites of genes co-expressed with RAG and marked by H3K4me3.
  • This finding correlates with the maintenance of functional RAG activity post-horizontal gene transfer.

Conclusions:

  • The REC tool provides a robust method for studying RAG target site evolution and distribution across vertebrates.
  • Genomic regions with specific epigenetic marks and gene co-expression patterns show reduced RAG target density, suggesting evolutionary adaptation.
  • Understanding RAG target site distribution is key to comprehending genome evolution and preventing RAG-associated genomic instability.