License: Creative Commons Attribution 3.0 Unported license (CC BY 3.0)
When quoting this document, please refer to the following
DOI: 10.4230/LIPIcs.WABI.2019.9
URN: urn:nbn:de:0030-drops-110398
URL: http://dagstuhl.sunsite.rwth-aachen.de/volltexte/2019/11039/
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Zoller, Roni ; Zehavi, Meirav ; Ziv-Ukelson, Michal

A New Paradigm for Identifying Reconciliation-Scenario Altering Mutations Conferring Environmental Adaptation

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LIPIcs-WABI-2019-9.pdf (0.6 MB)

Abstract

An important goal in microbial computational genomics is to identify crucial events in the evolution of a gene that severely alter the duplication, loss and mobilization patterns of the gene within the genomes in which it disseminates. In this paper, we formalize this microbiological goal as a new pattern-matching problem in the domain of Gene tree and Species tree reconciliation, denoted "Reconciliation-Scenario Altering Mutation (RSAM) Discovery". We propose an O(m * n * k) time algorithm to solve this new problem, where m and n are the number of vertices of the input Gene tree and Species tree, respectively, and k is a user-specified parameter that bounds from above the number of optimal solutions of interest. The algorithm first constructs a hypergraph representing the k highest scoring reconciliation scenarios between the given Gene tree and Species tree, and then interrogates this hypergraph for subtrees matching a pre-specified RSAM Pattern. Our algorithm is optimal in the sense that the number of hypernodes in the hypergraph can be lower bounded by Omega(m * n * k). We implement the new algorithm as a tool, denoted RSAM-finder, and demonstrate its application to the identification of RSAMs in toxins and drug resistance elements across a dataset spanning hundreds of species.

BibTeX - Entry

@InProceedings{zoller_et_al:LIPIcs:2019:11039,
  author =	{Roni Zoller and Meirav Zehavi and Michal Ziv-Ukelson},
  title =	{{A New Paradigm for Identifying Reconciliation-Scenario Altering Mutations Conferring Environmental Adaptation}},
  booktitle =	{19th International Workshop on Algorithms in Bioinformatics (WABI 2019)},
  pages =	{9:1--9:13},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-123-8},
  ISSN =	{1868-8969},
  year =	{2019},
  volume =	{143},
  editor =	{Katharina T. Huber and Dan Gusfield},
  publisher =	{Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{http://drops.dagstuhl.de/opus/volltexte/2019/11039},
  URN =		{urn:nbn:de:0030-drops-110398},
  doi =		{10.4230/LIPIcs.WABI.2019.9},
  annote =	{Keywords: Gene tree, Species tree, Reconciliation}
}

Keywords: Gene tree, Species tree, Reconciliation
Collection: 19th International Workshop on Algorithms in Bioinformatics (WABI 2019)
Issue Date: 2019
Date of publication: 03.09.2019
Supplementary Material: https://github.com/ronizoller/RSAM

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