Evidence map›Paper›PMID 18612422›Full record

ArticlePloS one2008

Phylogenetic detection of recombination with a Bayesian prior on the distance between trees.

Leonardo de Oliveira Martins, Elcio Leal, Hirohisa Kishino

Abstract read
In one paragraph

Article in PloS one, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Inferring Local Genealogies on Closely Related Genomes.Comparative genomics : RECOMB ... International Workshop, RCG ... : revised selected papers. RECOMB-CG (Conference) · 2017
    Article
  8. Article
  9. Review
  10. Article
  11. Computational Tools for Evaluating Phylogenetic and Hierarchical Clustering Trees.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2012
    Article
  12. Article
  13. Article
  14. Article
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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.

Leonardo de Oliveira MartinsGraduate School of Agriculture and Life Sciences, University of Tokyo, Tokyo, Japan. leo@lbm.ab.a.u-tokyo.ac.jp
Elcio Leal
Hirohisa Kishino

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Genomic regions participating in recombination events may support distinct topologies, and phylogenetic analyses should incorporate this heterogeneity. Existing phylogenetic methods for recombination detection are challenged by the enormous number of possible topologies, even for a moderate number of taxa. If, however, the detection analysis is conducted independently between each putative recombinant sequence and a set of reference parentals, potential recombinations between the recombinants are neglected. In this context, a recombination hotspot can be inferred in phylogenetic analyses if we observe several consecutive breakpoints. We developed a distance measure between unrooted topologies that closely resembles the number of recombinations. By introducing a prior distribution on these recombination distances, a Bayesian hierarchical model was devised to detect phylogenetic inconsistencies occurring due to recombinations. This model relaxes the assumption of known parental sequences, still common in HIV analysis, allowing the entire dataset to be analyzed at once. On simulated datasets with up to 16 taxa, our method correctly detected recombination breakpoints and the number of recombination events for each breakpoint. The procedure is robust to rate and transitionratiotransversion heterogeneities for simulations with and without recombination. This recombination distance is related to recombination hotspots. Applying this procedure to a genomic HIV-1 dataset, we found evidence for hotspots and de novo recombination.

Indexed as

PhylogenyRecombination, GeneticBayes TheoremGenetic HeterogeneityHIV-1

Identifiers

PMID18612422
PMCPMC2440540

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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.