Open AccessExact Algorithms for Duplication-Transfer-Loss Reconciliation with Non-Binary Gene Trees
Author(s) -
Misagh Kordi,
Mukul S. Bansal
Publication year - 2019
Publication title -
ieee/acm transactions on computational biology and bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.745
H-Index - 71
eISSN - 1557-9964
pISSN - 1545-5963
DOI - 10.1109/tcbb.2017.2710342
Subject(s) - gene duplication , binary tree , binary number , tree (set theory) , algorithm , gene , computer science , biology , mathematics , computational biology , genetics , combinatorics , arithmetic
Duplication-Transfer-Loss (DTL) reconciliation is a powerful method for studying gene family evolution in the presence of horizontal gene transfer. DTL reconciliation seeks to reconcile gene trees with species trees by postulating speciation, duplication, transfer, and loss events. Efficient algorithms exist for finding optimal DTL reconciliations when the gene tree is binary. In practice, however, gene trees are often non-binary due to uncertainty in the gene tree topologies, and DTL reconciliation with non-binary gene trees is known to be NP-hard. In this paper, we present the first exact algorithms for DTL reconciliation with non-binary gene trees. Specifically, we (i) show that the DTL reconciliation problem for non-binary gene trees is fixed-parameter tractable in the maximum degree of the gene tree, (ii) present an exponential-time, but in-practice efficient, algorithm to track and enumerate all optimal binary resolutions of a non-binary input gene tree, and (iii) apply our algorithms to a large empirical data set of over 4,700 gene trees from 100 species to study the impact of gene tree uncertainty on DTL-reconciliation and to demonstrate the applicability and utility of our algorithms. The new techniques and algorithms introduced in this paper will help biologists avoid incorrect evolutionary inferences caused by gene tree uncertainty.