A Computational Method for the Rate Estimation of Evolutionary Transpositions

TL;DR

This paper introduces a computational approach to estimate the rate of transpositions in genome evolution, addressing the complexity of analyzing these rare but significant rearrangements.

Contribution

The paper presents a novel computational method specifically designed to estimate transposition rates in evolutionary genomes.

Findings

Estimated mammalian transposition rate is approximately 0.26.

Method applied successfully to mammalian genomes.

Addresses computational challenges of analyzing complex rearrangements.

Abstract

Genome rearrangements are evolutionary events that shuffle genomic architectures. Most frequent genome rearrangements are reversals, translocations, fusions, and fissions. While there are some more complex genome rearrangements such as transpositions, they are rarely observed and believed to constitute only a small fraction of genome rearrangements happening in the course of evolution. The analysis of transpositions is further obfuscated by intractability of the underlying computational problems. We propose a computational method for estimating the rate of transpositions in evolutionary scenarios between genomes. We applied our method to a set of mammalian genomes and estimated the transpositions rate in mammalian evolution to be around 0.26.