Evidence map›Paper›PMID 31410552›Full record

ArticleJournal of mathematical biology2019

Reconciling event-labeled gene trees with MUL-trees and species networks.

Marc Hellmuth, Katharina T Huber, Vincent Moulton

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Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Predicting horizontal gene transfers with perfect transfer networks.Algorithms for molecular biology : AMB · 2024
    Article
  2. The Theory of Gene Family Histories.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Clustering systems of phylogenetic networks.Theory in biosciences = Theorie in den Biowissenschaften · 2023
    Article
  4. Article
  5. Article
4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Marc HellmuthInstitute of Mathematics and Computer Science, University of Greifswald, Greifswald, Germany. mhellmuth@mailbox.org.ORCID 0000-0002-1620-5508
Katharina T HuberSchool of Computing Sciences, University of East Anglia, Norwich, UK.
Vincent MoultonSchool of Computing Sciences, University of East Anglia, Norwich, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenomics commonly aims to construct evolutionary trees from genomic sequence information. One way to approach this problem is to first estimate event-labeled gene trees (i.e., rooted trees whose non-leaf vertices are labeled by speciation or gene duplication events), and to then look for a species tree which can be reconciled with this tree through a reconciliation map between the trees. In practice, however, it can happen that there is no such map from a given event-labeled tree to any species tree. An important situation where this might arise is where the species evolution is better represented by a network instead of a tree. In this paper, we therefore consider the problem of reconciling event-labeled trees with species networks. In particular, we prove that any event-labeled gene tree can be reconciled with some network and that, under certain mild assumptions on the gene tree, the network can even be assumed to be multi-arc free. To prove this result, we show that we can always reconcile the gene tree with some multi-labeled (MUL-)tree, which can then be "folded up" to produce the desired reconciliation and network. In addition, we study the interplay between reconciliation maps from event-labeled gene trees to MUL-trees and networks. Our results could be useful for understanding how genomes have evolved after undergoing complex evolutionary events such as polyploidy.

Indexed as

Evolution, MolecularGene Regulatory NetworksModels, GeneticPhylogenyAlgorithmsGene DuplicationGenetic SpeciationMathematical ConceptsGene evolutionMUL treeNetwork reconciliationPhylogenetic networkSpecies evolutionTree reconciliationTriples

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.