5 years ago

Generalized Fitch Graphs: Edge-labeled Graphs that are explained by Edge-labeled Trees.

Marc Hellmuth

Fitch graphs $G=(X,E)$ are di-graphs that are explained by $\{\otimes,1\}$-edge-labeled rooted trees with leaf set $X$: there is an arc $xy\in E$ if and only if the unique path in $T$ that connects the least common ancestor $\textrm{lca}(x,y)$ of $x$ and $y$ with $y$ contains at least one edge with label $1$. In practice, Fitch graphs represent xenology relations, i.e., pairs of genes $x$ and $y$ for which a horizontal gene transfer happened along the path from $\textrm{lca}(x,y)$ to $y$. In this contribution, we generalize the concept of xenology and Fitch graphs and consider complete di-graphs $K_{|X|}$ with vertex set $X$ and a map $\epsilon$ that assigns to each arc $xy$ a unique label $\epsilon(x,y)\in M\cup \{\otimes\}$, where $M$ denotes an arbitrary set of symbols. A di-graph $(K_{|X|},\epsilon)$ is a generalized Fitch graph if there is an $M\cup \{\otimes\}$-edge-labeled tree $(T,\lambda)$ that can explain $(K_{|X|},\epsilon)$. We provide a simple characterization of generalized Fitch graphs $(K_{|X|},\epsilon)$ and give an $O(|X|^2)$-time algorithm for their recognition as well as for the reconstruction of a least resolved phylogenetic tree that explains $(K_{|X|},\epsilon)$.

Publisher URL: http://arxiv.org/abs/1802.03657

DOI: arXiv:1802.03657v1

You might also like
Discover & Discuss Important Research

Keeping up-to-date with research can feel impossible, with papers being published faster than you'll ever be able to read them. That's where Researcher comes in: we're simplifying discovery and making important discussions happen. With over 19,000 sources, including peer-reviewed journals, preprints, blogs, universities, podcasts and Live events across 10 research areas, you'll never miss what's important to you. It's like social media, but better. Oh, and we should mention - it's free.

  • Download from Google Play
  • Download from App Store
  • Download from AppInChina

Researcher displays publicly available abstracts and doesn’t host any full article content. If the content is open access, we will direct clicks from the abstracts to the publisher website and display the PDF copy on our platform. Clicks to view the full text will be directed to the publisher website, where only users with subscriptions or access through their institution are able to view the full article.