Evidence map›Paper›PMID 21712432›Full record

ReviewGenome biology and evolution2011

Evaluating phylogenetic congruence in the post-genomic era.

Jessica W Leigh, François-Joseph Lapointe, Philippe Lopez, Eric Bapteste

Abstract readReview
In one paragraph

Review in Genome biology and evolution, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Phylogeny ofPeerJ · 2021
    Article
  6. Fungal evolution: cellular, genomic and metabolic complexity.Biological reviews of the Cambridge Philosophical Society · 2020
    Article
  7. Matching population diversity of rhizobialEcology and evolution · 2019
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Clustering Genes of Common Evolutionary History.Molecular biology and evolution · 2016
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. 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

4 authors.

Jessica W LeighDepartment of Mathematics and Statistics, University of Otago, Dunedin, New Zealand. jleigh@maths.otago.ac.nz
François-Joseph Lapointe
Philippe Lopez
Eric Bapteste

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congruence is a broadly applied notion in evolutionary biology used to justify multigene phylogeny or phylogenomics, as well as in studies of coevolution, lateral gene transfer, and as evidence for common descent. Existing methods for identifying incongruence or heterogeneity using character data were designed for data sets that are both small and expected to be rarely incongruent. At the same time, methods that assess incongruence using comparison of trees test a null hypothesis of uncorrelated tree structures, which may be inappropriate for phylogenomic studies. As such, they are ill-suited for the growing number of available genome sequences, most of which are from prokaryotes and viruses, either for phylogenomic analysis or for studies of the evolutionary forces and events that have shaped these genomes. Specifically, many existing methods scale poorly with large numbers of genes, cannot accommodate high levels of incongruence, and do not adequately model patterns of missing taxa for different markers. We propose the development of novel incongruence assessment methods suitable for the analysis of the molecular evolution of the vast majority of life and support the investigation of homogeneity of evolutionary process in cases where markers do not share identical tree structures.

Indexed as

Evolution, MolecularGenomicsModels, GeneticPhylogenyAlgorithmsComputational BiologyEukaryotaGene Transfer, HorizontalGenomeLikelihood FunctionsProkaryotic CellsViruses

Identifiers

PMID21712432
PMCPMC3156567

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.