Evidence map›Paper›PMID 26880113›Full record

ReviewMolecular ecology2016

Inferences from tip-calibrated phylogenies: a review and a practical guide.

Adrien Rieux, François Balloux

Abstract readReview
In one paragraph

Review in Molecular ecology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing 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

75 citing papers in PubMed.

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  17. Emergence and spread ofMicrobiology spectrum · 2024
    Article
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15 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Adrien RieuxDepartment of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK.
François BallouxDepartment of Genetics, Evolution and Environment, UCL Genetics Institute, University College London, Gower Street, London, WC1E 6BT, UK.

Funding

Biotechnology and Biological Sciences Research Council BB/H008802/1Medical Research Council MR/P007597/1
6 · The paper itself

Abstract

Molecular dating of phylogenetic trees is a growing discipline using sequence data to co-estimate the timing of evolutionary events and rates of molecular evolution. All molecular-dating methods require converting genetic divergence between sequences into absolute time. Historically, this could only be achieved by associating externally derived dates obtained from fossil or biogeographical evidence to internal nodes of the tree. In some cases, notably for fast-evolving genomes such as viruses and some bacteria, the time span over which samples were collected may cover a significant proportion of the time since they last shared a common ancestor. This situation allows phylogenetic trees to be calibrated by associating sampling dates directly to the sequences representing the tips (terminal nodes) of the tree. The increasing availability of genomic data from ancient DNA extends the applicability of such tip-based calibration to a variety of taxa including humans, extinct megafauna and various microorganisms which typically have a scarce fossil record. The development of statistical models accounting for heterogeneity in different aspects of the evolutionary process while accommodating very large data sets (e.g. whole genomes) has allowed using tip-dating methods to reach inferences on divergence times, substitution rates, past demography or the age of specific mutations on a variety of spatiotemporal scales. In this review, we summarize the current state of the art of tip dating, discuss some recent applications, highlight common pitfalls and provide a 'how to' guide to thoroughly perform such analyses.

Indexed as

Evolution, MolecularModels, GeneticPhylogenyBayes TheoremCalibrationDNA, AncientFossilsLikelihood FunctionsModels, StatisticalSoftwareDNA, AncientBayesian phylogeneticscalibration, divergence time and substitution rate inferencesmeasurably evolving populationspopulation dynamicstip-dating

Identifiers

PMID26880113
PMCPMC4949988

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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.