Evidence map›Paper›PMID 24992937›Full record

ArticleBMC evolutionary biology2014

An improved approximate-Bayesian model-choice method for estimating shared evolutionary history.

Jamie R Oaks

Abstract read
In one paragraph

Article in BMC evolutionary biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Generalizing Bayesian phylogenetics to infer shared evolutionary events.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Phenotypes in phylogeography: Species' traits, environmental variation, and vertebrate diversification.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Review
  10. Toward a paradigm shift in comparative phylogeography driven by trait-based hypotheses.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  11. Article
  12. Article
4 · The record

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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

1 author.

Jamie R OaksDepartment of Ecology and Evolutionary Biology, University of Kansas, 1200 Sunnyside Avenue, Lawrence Kansas 66045, USA. joaks1@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo understand biological diversification, it is important to account for large-scale processes that affect the evolutionary history of groups of co-distributed populations of organisms. Such events predict temporally clustered divergences times, a pattern that can be estimated using genetic data from co-distributed species. I introduce a new approximate-Bayesian method for comparative phylogeographical model-choice that estimates the temporal distribution of divergences across taxa from multi-locus DNA sequence data. The model is an extension of that implemented in msBayes.

resultsBy reparameterizing the model, introducing more flexible priors on demographic and divergence-time parameters, and implementing a non-parametric Dirichlet-process prior over divergence models, I improved the robustness, accuracy, and power of the method for estimating shared evolutionary history across taxa.

conclusionsThe results demonstrate the improved performance of the new method is due to (1) more appropriate priors on divergence-time and demographic parameters that avoid prohibitively small marginal likelihoods for models with more divergence events, and (2) the Dirichlet-process providing a flexible prior on divergence histories that does not strongly disfavor models with intermediate numbers of divergence events. The new method yields more robust estimates of posterior uncertainty, and thus greatly reduces the tendency to incorrectly estimate models of shared evolutionary history with strong support.

Indexed as

Bayes TheoremBiological EvolutionModels, GeneticPhylogeographySoftware

Identifiers

PMID24992937
PMCPMC4227068

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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.