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Genome Rearrangements on Both Gene Order and Intergenic Regions

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Algorithms in Bioinformatics (WABI 2016)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 9838))

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Abstract

All combinatorial works on genome rearrangements have so far ignored the influence of intergene sizes, i.e. the number of nucleotides between consecutive genes, although it was recently shown decisive for the accuracy of the inference methods [3, 4]. In this line, we define a new genome rearrangement model called wDCJ, a generalization of the well-known Double Cut and Join (or DCJ) model that allows for modifying both the gene order and the intergene size distribution of a genome. We first provide a generic formula for the wDCJ distance between two genomes, and show that computing this distance is strongly NP-complete. We then propose an approximation algorithm of ratio 3/2, and two exact ones: a fixed parameterized (FPT) algorithm and an ILP formulation. We finally provide theoretical and empirical bounds on the expected growth of the parameter at the center of our FPT and ILP algorithms, assuming a probabilistic model of evolution under wDCJ, which shows that both these algorithms should run reasonably fast in practice.

Supported by GRIOTE project, funded by Région Pays de la Loire, and the ANCESTROME project, Investissement d’avenir ANR-10-BINF-01-01.

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Notes

  1. 1.

    The word gene is as usual in genome rearrangement studies taken in a liberal meaning, as any segment of DNA, computed from homologous genes or synteny blocks, which is not touched by a rearrangement in the considered history.

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Correspondence to Géraldine Jean .

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Fertin, G., Jean, G., Tannier, E. (2016). Genome Rearrangements on Both Gene Order and Intergenic Regions. In: Frith, M., Storm Pedersen, C. (eds) Algorithms in Bioinformatics. WABI 2016. Lecture Notes in Computer Science(), vol 9838. Springer, Cham. https://doi.org/10.1007/978-3-319-43681-4_13

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  • DOI: https://doi.org/10.1007/978-3-319-43681-4_13

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-43680-7

  • Online ISBN: 978-3-319-43681-4

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