Literature DB >> 18451432

Computing phylogenetic diversity for split systems.

Andreas Spillner1, Binh T Nguyen, Vincent Moulton.   

Abstract

In conservation biology it is a central problem to measure, predict, and preserve biodiversity as species face extinction. In 1992 Faith proposed measuring the diversity of a collection of species in terms of their relationships on a phylogenetic tree, and to use this information to identify collections of species with high diversity. Here we are interested in some variants of the resulting optimization problem that arise when considering species whose evolution is better represented by a network rather than a tree. More specifically, we consider the problem of computing phylogenetic diversity relative to a split system on a collection of species of size n. We show that for general split systems this problem is NP-hard. In addition we provide some efficient algorithms for some special classes of split systems, in particular presenting an optimal O(n) time algorithm for phylogenetic trees and an O(n log n + nk) time algorithm for choosing an optimal subset of size k relative to a circular split system.

Mesh:

Year:  2008        PMID: 18451432     DOI: 10.1109/TCBB.2007.70260

Source DB:  PubMed          Journal:  IEEE/ACM Trans Comput Biol Bioinform        ISSN: 1545-5963            Impact factor:   3.710


  3 in total

1.  The link between segregation and phylogenetic diversity.

Authors:  David Bryant; Steffen Klaere
Journal:  J Math Biol       Date:  2011-02-19       Impact factor: 2.259

2.  Budgeted Nature Reserve Selection with diversity feature loss and arbitrary split systems.

Authors:  Magnus Bordewich; Charles Semple
Journal:  J Math Biol       Date:  2011-02-08       Impact factor: 2.259

3.  Distinguishing between hot-spots and melting-pots of genetic diversity using haplotype connectivity.

Authors:  Binh Nguyen; Andreas Spillner; Brent C Emerson; Vincent Moulton
Journal:  Algorithms Mol Biol       Date:  2010-03-20       Impact factor: 1.405

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.