2009
DOI: 10.1007/978-3-642-02441-2_26
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The Structure of Level-k Phylogenetic Networks

Abstract: Abstract. Evolution is usually described as a phylogenetic tree, but due to some exchange of genetic material, it can be represented as a phylogenetic network which has an underlying tree structure. The notion of level was recently introduced as a parameter on realistic kinds of phylogenetic networks to express their complexity and tree-likeness. We study the structure of level-k networks, and how they can be decomposed into level-k generators. We also provide a polynomial time algorithm which takes as input t… Show more

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Cited by 22 publications
(37 citation statements)
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“…We begin by showing that trinets can be used to recover this decomposition of binary phylogenetic networks. Note that similar results have been proven for triplets in [19] and for quartets in unrooted phylogenetics networks [11]. Theorem 1.…”
Section: Decomposition Theorems For Trinetssupporting
confidence: 68%
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“…We begin by showing that trinets can be used to recover this decomposition of binary phylogenetic networks. Note that similar results have been proven for triplets in [19] and for quartets in unrooted phylogenetics networks [11]. Theorem 1.…”
Section: Decomposition Theorems For Trinetssupporting
confidence: 68%
“…However, a new technique would have to be developed for k ≥ 4 since, for such k, there exist level-k networks that have no crucial trinets. Another difficulty is that the number of generators for level-k networks grows very rapidly (the number of level-k generators is at least 2 k−1 [11]) making a similar case analysis impossible in general. To prove that tree-child networks are encoded by trinets, we heavily depended on special properties of such networks, and we have not been able to find a way to extend our proof to even slightly more general networks (e.g.…”
Section: Discussionmentioning
confidence: 99%
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“…However, N is a less parsimonious representation of those 4 systems which cannot be encoded by any of the 4 systems of interest in this paper, we follow van Iersel et al (2009b) and require that every block in a level-1 network which is not a cut-arc contains at least 4 vertices. For k = 1, 2, it was shown in van Iersel et al (2009a) (see also Jansson and Sung 2006 for the case k = 1) that level-k networks can be built up by chaining together structurally very simple level-k networks called simple level-k networks (see also Gambette et al 2009 for more on this). More precisely, a level-k network N , k ≥ 0, is called simple if every cut-arc of N is a trivial cut-arc.…”
Section: Basic Terminology and Results Concerning Level-1 Networkmentioning
confidence: 97%
“…The LST operations that we define generalize and extend the nearest-neighbor interchange (NNI) operations on phylogenetic trees (Robinson, 1971;Moore et al, 1973), whose properties are well-studied and which are commonly used in computer programs that search for optimal trees in tree space (Swofford et al, 1996). We will mainly concentrate on properties of LST operations when they are applied to unrooted and rooted level-1 networks (Jansson et al, 2006;Gambette et al, 2009), a well understood class of phylogenetic networks that are almost tree-like, and which have been used to, for example, represent the evolution of viruses (Huber et al, 2011).…”
Section: Introductionmentioning
confidence: 99%