A survey of the monotonicity and non-contradiction of consensus methods and supertree methods
Mareike Fischer, Michael Hendriksen

TL;DR
This survey investigates the properties of consensus and supertree methods in phylogenetics, focusing on their monotonicity and consistency when new data or insights are introduced, and identifies both limitations and positive results for common methods.
Contribution
The paper analyzes monotonicity and non-contradiction properties of consensus and supertree methods, providing new insights into their robustness and identifying classes of methods with desirable properties.
Findings
Majority rule and strict consensus methods are monotonic.
Some consensus methods are inherently non-monotonic, leading to potential conflicts.
Infinitely many consensus methods possess monotonicity and other favorable properties.
Abstract
In a recent study, Bryant, Francis and Steel investigated the concept of \enquote{future-proofing} consensus methods in phylogenetics. That is, they investigated if such methods can be robust against the introduction of additional data like added trees or new species. In the present manuscript, we analyze consensus methods under a different aspect of introducing new data, namely concerning the discovery of new clades. In evolutionary biology, often formerly unresolved clades get resolved by refined reconstruction methods or new genetic data analyses. In our manuscript we investigate which properties of consensus methods can guarantee that such new insights do not disagree with previously found consensus trees, but merely refine them, a property termed \emph{monotonicity}. Along the lines of analyzing monotonicity, we also study two {established} supertree methods, namely Matrix…
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Taxonomy
TopicsAdvanced Database Systems and Queries · Analytical Chemistry and Chromatography · Distributed systems and fault tolerance
