Evidence map›Paper›PMID 26912812›Full record

ArticleMolecular biology and evolution2016

LS³: A Method for Improving Phylogenomic Inferences When Evolutionary Rates Are Heterogeneous among Taxa.

Carlos J Rivera-Rivera, Juan I Montoya-Burgos

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Phylogenetic tree building in the genomic age.Nature reviews. Genetics · 2020
    Review
  3. LSBMC bioinformatics · 2019
    Article
  4. Article
4 · The record

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5 · Who and what money

Authors and funding

2 authors.

Carlos J Rivera-RiveraDepartment of Genetics and Evolution, University of Geneva, Geneva, Switzerland Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland.
Juan I Montoya-BurgosDepartment of Genetics and Evolution, University of Geneva, Geneva, Switzerland Institute of Genetics and Genomics in Geneva (iGE3), Geneva, Switzerland juan.montoya@unige.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phylogenetic inference artifacts can occur when sequence evolution deviates from assumptions made by the models used to analyze them. The combination of strong model assumption violations and highly heterogeneous lineage evolutionary rates can become problematic in phylogenetic inference, and lead to the well-described long-branch attraction (LBA) artifact. Here, we define an objective criterion for assessing lineage evolutionary rate heterogeneity among predefined lineages: the result of a likelihood ratio test between a model in which the lineages evolve at the same rate (homogeneous model) and a model in which different lineage rates are allowed (heterogeneous model). We implement this criterion in the algorithm Locus Specific Sequence Subsampling (LS³), aimed at reducing the effects of LBA in multi-gene datasets. For each gene, LS³ sequentially removes the fastest-evolving taxon of the ingroup and tests for lineage rate homogeneity until all lineages have uniform evolutionary rates. The sequences excluded from the homogeneously evolving taxon subset are flagged as potentially problematic. The software implementation provides the user with the possibility to remove the flagged sequences for generating a new concatenated alignment. We tested LS³ with simulations and two real datasets containing LBA artifacts: a nucleotide dataset regarding the position of Glires within mammals and an amino-acid dataset concerning the position of nematodes within bilaterians. The initially incorrect phylogenies were corrected in all cases upon removing data flagged by LS³.

Indexed as

Biological EvolutionModels, GeneticPhylogenyAlgorithmsAnimalsArtifactsEvolution, MolecularLikelihood FunctionsMammalsNematodaSequence AlignmentSequence Analysis, DNASoftwareartifactsGlireslong branch attractionNematoda.phylogenomicsrate heterogeneity

Identifiers

PMID26912812
PMCPMC4868118

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