Author:
Clark Chad,Jonušas Julius,Mitchell James D.,Francis Andrew
Abstract
AbstractInversions, also sometimes called reversals, are a major contributor to variation among bacterial genomes, with studies suggesting that those involving small numbers of regions are more likely than larger inversions. Deletions may arise in bacterial genomes through the same biological mechanism as inversions, and hence a model that incorporates both is desirable. However, while inversion distances between genomes have been well studied, there has yet to be a model which accounts for the combination of both deletions and inversions. To account for both of these operations, we introduce an algebraic model that utilises partial permutations. This leads to an algorithm for calculating the minimum distance to the most recent common ancestor of two bacterial genomes evolving by inversions (of adjacent regions) and deletions. The algebraic model makes the existing short inversion models more complete and realistic by including deletions, and also introduces new algebraic tools into evolutionary distance problems.
Funder
Western Sydney University
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Agricultural and Biological Sciences (miscellaneous),Modeling and Simulation
Reference38 articles.
1. Alexandrino AO, Brito KL, Oliveira AR, Dias U, Dias Z (2021a) Reversal distance on genomes with different gene content and intergenic regions information. In: Martín-Vide C, Vega-Rodríguez MA, Wheeler T (eds) Algorithms for Computational Biology. Springer, pp 121–133
2. Alexandrino AO, Oliveira AR, Dias U, Dias Z (2021) Genome rearrangement distance with reversals, transpositions, and indels. J Comput Biol 28(3):235–247
3. Beule JD, Jonušas J, Mitchell JD, Torpey M, Tsalakou M, Wilson WA (2022) Digraphs—GAP package, version 1.5.2, Mar. https://digraphs.github.io/Digraphs
4. Bhatia S, Feijão P, Francis AR (2018) Position and content paradigms in genome rearrangements: the wild and crazy world of permutations in genomics. Bull Math Biol 80(12):3227–3246
5. Bhatia S, Egri-Nagy A, Serdoz S, Praeger CE, Gebhardt V, Francis A (2020) A path-deformation framework for determining weighted genome rearrangement distance. Front Genet 11:1035