Limits of Kernelization and Parametrization for Phylogenetic Diversity with Dependencies
Niels Holtgrefe, Jannik Schestag, and Norbert Zeh

TL;DR
This paper investigates the computational complexity of a conservation problem that combines phylogenetic diversity with predator-prey dependencies, revealing hardness results and kernelization limits in parameterized complexity.
Contribution
It introduces the $ ext{α}$-PDD problem, analyzes its parameterized complexity, and establishes new hardness and kernelization bounds, including fixed-parameter tractability and non-existence of polynomial kernels.
Findings
$ ext{α}$-PDD is W[1]-hard when parameterized by solution size or diversity threshold.
$ ext{α}$-PDD is fixed-parameter tractable when parameterized by vertex cover number.
No polynomial kernel exists for $ ext{α}$-PDD when parameterized by vertex cover plus diversity threshold.
Abstract
In the Maximize Phylogenetic Diversity problem, we are given a phylogenetic tree that represents the genetic proximity of species, and we are asked to select a subset of species of maximum phylogenetic diversity to be preserved through conservation efforts, subject to budgetary constraints that allow only k species to be saved. This neglects that it is futile to preserve a predatory species if we do not also preserve at least a subset of the prey it feeds on. Thus, in the Optimizing PD with Dependencies (-PDD) problem, we are additionally given a food web that represents the predator-prey relationships between species. The goal is to save a set of k species of maximum phylogenetic diversity such that for every saved species, at least one of its prey is also saved. This problem is NP-hard even when the phylogenetic tree is a star. The -PDD problem alters PDD by…
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Taxonomy
TopicsGenomics and Phylogenetic Studies · Genome Rearrangement Algorithms · Cancer Genomics and Diagnostics
