Evidence map›Paper›PMID 25911229›Full record

ArticleMolecular biology and evolution2015

Maximum-Likelihood Tree Estimation Using Codon Substitution Models with Multiple Partitions.

Stefan Zoller, Veronika Boskova, Maria Anisimova

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Microbial sequence typing in the genomic era.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Review
  6. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Stefan ZollerComputational Biochemistry Research Group, ETH Zürich, Zürich, Switzerland Swiss Institute of Bioinformatics, Switzerland.
Veronika BoskovaComputational Biochemistry Research Group, ETH Zürich, Zürich, Switzerland.
Maria AnisimovaInstitute of Applied Simulations, School of Life Sciences and Facility Management, Zurich University of Applied Sciences, Wädenswil, Switzerland maria.anisimova@zhaw.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many protein sequences have distinct domains that evolve with different rates, different selective pressures, or may differ in codon bias. Instead of modeling these differences by more and more complex models of molecular evolution, we present a multipartition approach that allows maximum-likelihood phylogeny inference using different codon models at predefined partitions in the data. Partition models can, but do not have to, share free parameters in the estimation process. We test this approach with simulated data as well as in a phylogenetic study of the origin of the leucin-rich repeat regions in the type III effector proteins of the pythopathogenic bacteria Ralstonia solanacearum. Our study does not only show that a simple two-partition model resolves the phylogeny better than a one-partition model but also gives more evidence supporting the hypothesis of lateral gene transfer events between the bacterial pathogens and its eukaryotic hosts.

Indexed as

CodonModels, GeneticBacterial ProteinsRalstonia solanacearumBacterial ProteinsCodonamino acid substitution modelcodon substitution modelMarkov modelmaximum-likelihood tree

Identifiers

PMID25911229
PMCPMC4833081

What OpenQuestion holds

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Registered trials

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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.