Evidence map›Paper›PMID 40483529›Full record

ArticleAlgorithms for molecular biology : AMB2025

Reconstructing rearrangement phylogenies of natural genomes.

Leonard Bohnenkämper, Jens Stoye, Daniel Doerr

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Article in Algorithms for molecular biology : AMB, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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3 authors.

Leonard BohnenkämperFaculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, NRW, Germany.
Jens StoyeFaculty of Technology, Bielefeld University, Universitätsstraße 25, 33615, Bielefeld, NRW, Germany.
Daniel DoerrDepartment for Endocrinology and Diabetology, Medical Faculty, Heinrich Heine University Düsseldorf, University Hospital Düsseldorf, Moorenstr. 5, 40225, Düsseldorf, NRW, Germany. daniel.doerr@hhu.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe study the classical problem of inferring ancestral genomes from a set of extant genomes under a given phylogeny, known as the Small Parsimony Problem (SPP). Genomes are represented as sequences of oriented markers, organized in one or more linear or circular chromosomes. Any marker may appear in several copies, without restriction on orientation or genomic location, known as the natural genomes model. Evolutionary events along the branches of the phylogeny encompass large scale rearrangements, including segmental inversions, translocations, gain and loss (DCJ-indel model). Even under simpler rearrangement models, such as the classical breakpoint model without duplicates, the SPP is computationally intractable. Nevertheless, the SPP for natural genomes under the DCJ-indel model has been studied recently, with limited success.

methodsBuilding on prior work, we present a highly optimized ILP that is able to solve the SPP for sufficiently small phylogenies and gene families. A notable improvement w.r.t. the previous result is an optimized way of handling both circular and linear chromosomes. This is especially relevant to the SPP, since the chromosomal structure of ancestral genomes is unknown and the solution space for this chromosomal structure is typically large.

resultsWe benchmark our method on simulated and real data. On simulated phylogenies we observe a considerable performance improvement on problems that include linear chromosomes. And even when the ground truth contains only one circular chromosome per genome, our method outperforms its predecessor due to its optimized handling of the solution space. The practical advantage becomes also visible in an analysis of seven Anopheles taxa.

Indexed as

Ancestral reconstructionDouble-cut-and-joinGenome rearrangementInteger linear programmingSmall parsimony

Identifiers

PMID40483529
PMCPMC12144824

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