Evidence map›Paper›PMID 21199577›Full record

ArticleBMC bioinformatics2011

MTML-msBayes: approximate Bayesian comparative phylogeographic inference from multiple taxa and multiple loci with rate heterogeneity.

Wen Huang, Naoki Takebayashi, Yan Qi, Michael J Hickerson

Abstract read
In one paragraph

Article in BMC bioinformatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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

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.

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3 · Its place in the literature

Who cites it

31 citing papers in PubMed.

  1. Article
  2. Article
  3. Generalizing Bayesian phylogenetics to infer shared evolutionary events.Proceedings of the National Academy of Sciences of the United States of America · 2022
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  5. A novelCold Spring Harbor molecular case studies · 2022
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  16. 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
  17. Matching loci surveyed to questions asked in phylogeography.Proceedings. Biological sciences · 2016
    Article
  18. Article
  19. Article
  20. 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.

Wen HuangBiology Department, City University of New York, Queens College, 65-30 Kissena Blvd, Flushing, NY 11367-1597, USA. wenhuang19@yahoo.com
Naoki Takebayashi
Yan Qi
Michael J Hickerson

Funding

VIROLOGISTP20RR016466 · NCRR · UNIVERSITY OF ALASKA FAIRBANKS · PI LEIGH, MARY BETH · 2001 to 2011
$37.0M
NCRR NIH HHS RR016466
6 · The paper itself

Abstract

backgroundMTML-msBayes uses hierarchical approximate Bayesian computation (HABC) under a coalescent model to infer temporal patterns of divergence and gene flow across codistributed taxon-pairs. Under a model of multiple codistributed taxa that diverge into taxon-pairs with subsequent gene flow or isolation, one can estimate hyper-parameters that quantify the mean and variability in divergence times or test models of migration and isolation. The software uses multi-locus DNA sequence data collected from multiple taxon-pairs and allows variation across taxa in demographic parameters as well as heterogeneity in DNA mutation rates across loci. The method also allows a flexible sampling scheme: different numbers of loci of varying length can be sampled from different taxon-pairs.

resultsSimulation tests reveal increasing power with increasing numbers of loci when attempting to distinguish temporal congruence from incongruence in divergence times across taxon-pairs. These results are robust to DNA mutation rate heterogeneity. Estimating mean divergence times and testing simultaneous divergence was less accurate with migration, but improved if one specified the correct migration model. Simulation validation tests demonstrated that one can detect the correct migration or isolation model with high probability, and that this HABC model testing procedure was greatly improved by incorporating a summary statistic originally developed for this task (Wakeley's ΨW). The method is applied to an empirical data set of three Australian avian taxon-pairs and a result of simultaneous divergence with some subsequent gene flow is inferred.

conclusionsTo retain flexibility and compatibility with existing bioinformatics tools, MTML-msBayes is a pipeline software package consisting of Perl, C and R programs that are executed via the command line. Source code and binaries are available for download at http://msbayes.sourceforge.net/ under an open source license (GNU Public License).

Indexed as

Gene FlowModels, StatisticalSoftwareAlgorithmsAnimalsBayes TheoremBirdsDemographyEvolution, MolecularGenetic LociGenetic VariationPhylogeographySequence Analysis, DNA

Identifiers

PMID21199577
PMCPMC3031198

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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.