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Patricia A. Ebert

Publications and source records attributed to Patricia A. Ebert.

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Best Matches in Phylogenetic Networks

Best match graphs (BMGs) were introduced in mathematical phylogenetics to describe the concept of closest relatives for related genes (leaves of rooted tree) in different organisms (defining leaf colors). We generalize this concept here to leaf-colored rooted networks, where least common ancestors are in general neither unique nor comparable. We characterize BMGs of rooted networks as those vertex-colored digraphs that are properly colored and satisfy an easy-to-check condition that we call the sicor-in-hub property. BMGs can be recognized in linear time and an explaining network can be constructed in quadratic time. Analogous results are obtained for reciprocal best match graphs (RBMGs), where an edge $\{x,y\}$ corresponds to pairs of vertices with different color that are mutually closest relatives.

q-bio.PE

Inferring Phylogenetic Networks from Required and Forbidden LCA-Constraints

Least common ancestor (LCA) constraints encode relative-order information in directed acyclic graphs (DAGs) and give rise to a natural constraint-realization problem. Phylogenetic networks provide an important class of DAGs in which such constraints are used to represent local information about evolutionary histories. In this paper, we study the inference of DAGs and phylogenetic networks from LCA-constraints, which specify relative positions of the LCAs associated with pairs of leaves. While previous work has characterized when a set of required LCA-constraints can be realized by a DAG or phylogenetic network, it is natural to consider additional constraints that must be explicitly avoided. We therefore consider the realization problem for pairs $(R,F)$, where $R$ is a set of required LCA-constraints and $F$ is a set of forbidden ones. Since there are several natural ways to formalize what it means for a DAG to avoid a forbidden LCA-constraint, we study three such variants. For each of them, we characterize exactly when there exists a DAG or a phylogenetic network that realizes all constraints in $R$ while avoiding all constraints in $F$ in the respective sense. Our main characterization is based on a closure operator obtained from four elementary inference rules. Based on these characterizations, we derive polynomial-time algorithms that decide the existence of such realizations and construct one whenever it exists. All algorithms developed in this paper are implemented in the freely available Python package RealLCA.

cs.DM

Novel Triple-Based Problems for the Construction of Phylogenetic Networks via Least Common Ancestors

Evolutionary histories are often represented by rooted phylogenetic networks, whose leaves correspond to extant taxa and whose internal vertices represent ancestral lineages. Since such histories must usually be inferred from incomplete data, in particular from genomic sequences of present-day taxa, one often obtains only local information about relative evolutionary proximity. For instance, sequence data may suggest that two taxa $x$ and $y$ are more closely related to each other than either is to a third taxon $z$. This information is classically encoded by a rooted triple $xy|z$. In this paper, we study rooted triples in phylogenetic networks under an ancestor-based interpretation: $xy|z$ is displayed if the unique least common ancestor (LCA) of $x$ and $y$ lies strictly below the unique LCA of $x$ and $z$, respectively of $y$ and $z$, and the latter two LCAs coincide. We also introduce anchored triples $\underline{x}y|z$, which retain only the asymmetric comparison that the LCA of $x$ and $y$ lies below the LCA of $x$ and $z$. This relaxation is natural in networks, where different pairwise ancestral relationships need not behave as they do in trees. We consider several variants of consistency problems for ordinary and anchored triples, both with and without forbidden triples. Somewhat surprisingly, these ancestor-based consistency questions for triples in phylogenetic networks do not appear to have been addressed before despite their direct biological interpretation and the fact that such constraints can be inferred naturally from genomic sequence data. By translating these questions into realization problems for required and forbidden LCA-constraints, we show that all resulting problems can be solved in polynomial time. Moreover, whenever a solution exists, a suitable realizing DAG and phylogenetic network can be constructed within the same time bound.

cs.DM