Literature DB >> 31363828

Not all phylogenetic networks are leaf-reconstructible.

Péter L Erdős1, Leo van Iersel2, Mark Jones3.   

Abstract

Unrooted phylogenetic networks are graphs used to represent reticulate evolutionary relationships. Accurately reconstructing such networks is of great relevance for evolutionary biology. It has recently been conjectured that all unrooted phylogenetic networks for at least five taxa can be uniquely reconstructed from their subnetworks obtained by deleting a single taxon. Here, we show that this conjecture is false, by presenting a counter-example for each possible number of taxa that is at least 4. Moreover, we show that the conjecture is still false when restricted to binary networks. This means that, even if we are able to reconstruct the unrooted evolutionary history of each proper subset of some taxon set, this still does not give us enough information to reconstruct their full unrooted evolutionary history.

Entities:  

Keywords:  Graph reconstruction; Leaf removal; Phylogenetic Networks; Phylogenetics; Ulam’s Conjecture; Undirected graphs

Year:  2019        PMID: 31363828      PMCID: PMC6800874          DOI: 10.1007/s00285-019-01405-9

Source DB:  PubMed          Journal:  J Math Biol        ISSN: 0303-6812            Impact factor:   2.259


  3 in total

1.  Networks: expanding evolutionary thinking.

Authors:  Eric Bapteste; Leo van Iersel; Axel Janke; Scot Kelchner; Steven Kelk; James O McInerney; David A Morrison; Luay Nakhleh; Mike Steel; Leen Stougie; James Whitfield
Journal:  Trends Genet       Date:  2013-06-11       Impact factor: 11.639

2.  How much information is needed to infer reticulate evolutionary histories?

Authors:  Katharina T Huber; Leo Van Iersel; Vincent Moulton; Taoyang Wu
Journal:  Syst Biol       Date:  2014-09-18       Impact factor: 15.683

3.  Reconstructible phylogenetic networks: do not distinguish the indistinguishable.

Authors:  Fabio Pardi; Celine Scornavacca
Journal:  PLoS Comput Biol       Date:  2015-04-07       Impact factor: 4.475

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.