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Relative timing information and orthology in evolutionary scenarios

Authors :
David Schaller
Tom Hartmann
Manuel Lafond
Peter F. Stadler
Nicolas Wieseke
Marc Hellmuth
Source :
Algorithms for Molecular Biology, Vol 18, Iss 1, Pp 1-43 (2023)
Publication Year :
2023
Publisher :
BMC, 2023.

Abstract

Abstract Background Evolutionary scenarios describing the evolution of a family of genes within a collection of species comprise the mapping of the vertices of a gene tree T to vertices and edges of a species tree S. The relative timing of the last common ancestors of two extant genes (leaves of T) and the last common ancestors of the two species (leaves of S) in which they reside is indicative of horizontal gene transfers (HGT) and ancient duplications. Orthologous gene pairs, on the other hand, require that their last common ancestors coincides with a corresponding speciation event. The relative timing information of gene and species divergences is captured by three colored graphs that have the extant genes as vertices and the species in which the genes are found as vertex colors: the equal-divergence-time (EDT) graph, the later-divergence-time (LDT) graph and the prior-divergence-time (PDT) graph, which together form an edge partition of the complete graph. Results Here we give a complete characterization in terms of informative and forbidden triples that can be read off the three graphs and provide a polynomial time algorithm for constructing an evolutionary scenario that explains the graphs, provided such a scenario exists. While both LDT and PDT graphs are cographs, this is not true for the EDT graph in general. We show that every EDT graph is perfect. While the information about LDT and PDT graphs is necessary to recognize EDT graphs in polynomial-time for general scenarios, this extra information can be dropped in the HGT-free case. However, recognition of EDT graphs without knowledge of putative LDT and PDT graphs is NP-complete for general scenarios. In contrast, PDT graphs can be recognized in polynomial-time. We finally connect the EDT graph to the alternative definitions of orthology that have been proposed for scenarios with horizontal gene transfer. With one exception, the corresponding graphs are shown to be colored cographs.

Details

Language :
English
ISSN :
17487188
Volume :
18
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Algorithms for Molecular Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.fc59eef7fb02402f8207917ae7fe7ca0
Document Type :
article
Full Text :
https://doi.org/10.1186/s13015-023-00240-4