ArticleJournal of mathematical biology2018
Reconstructing gene trees from Fitch's xenology relation.
Article in Journal of mathematical biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Predicting horizontal gene transfers with perfect transfer networks.Algorithms for molecular biology : AMB · 2024Article
- The Theory of Gene Family Histories.Methods in molecular biology (Clifton, N.J.) · 2024Article
- Relative timing information and orthology in evolutionary scenarios.Algorithms for molecular biology : AMB · 2023Article
- A simpler linear-time algorithm for the common refinement of rooted phylogenetic trees on a common leaf set.Algorithms for molecular biology : AMB · 2021Article
- Indirect identification of horizontal gene transfer.Journal of mathematical biology · 2021Article
- Best match graphs and reconciliation of gene trees with species trees.Journal of mathematical biology · 2020Article
- Reciprocal best match graphs.Journal of mathematical biology · 2020Article
- Reconstruction of time-consistent species trees.Algorithms for molecular biology : AMB · 2020Article
- Alternative characterizations of Fitch's xenology relation.Journal of mathematical biology · 2019Article
- Best match graphs.Journal of mathematical biology · 2019Article
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Authors and funding
5 authors.
Funding
Abstract
Two genes are xenologs in the sense of Fitch if they are separated by at least one horizontal gene transfer event. Horizonal gene transfer is asymmetric in the sense that the transferred copy is distinguished from the one that remains within the ancestral lineage. Hence xenology is more precisely thought of as a non-symmetric relation: y is xenologous to x if y has been horizontally transferred at least once since it diverged from the least common ancestor of x and y. We show that xenology relations are characterized by a small set of forbidden induced subgraphs on three vertices. Furthermore, each xenology relation can be derived from a unique least-resolved edge-labeled phylogenetic tree. We provide a linear-time algorithm for the recognition of xenology relations and for the construction of its least-resolved edge-labeled phylogenetic tree. The fact that being a xenology relation is a heritable graph property, finally has far-reaching consequences on approximation problems associated with xenology relations.
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Registered trials
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