Evidence map›Paper›PMID 34228807›Full record

ArticleSystematic biology2021

Novel Integrative Modeling of Molecules and Morphology across Evolutionary Timescales.

Huw A Ogilvie, Fábio K Mendes, Timothy G Vaughan, Nicholas J Matzke, Tanja Stadler, David Welch, Alexei J Drummond

Abstract read
In one paragraph

Article in Systematic biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Gene tree patterns help answer: vicariance or dispersal?bioRxiv : the preprint server for biology · 2026
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  3. Review
  4. Article
  5. 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

7 authors.

Huw A OgilvieDepartment of Computer Science - MS-132, Rice University, P.O. Box 1892, Houston, TX 77251-1892.
Fábio K MendesCentre for Computational Evolution, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand.
Timothy G VaughanDepartment of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
Nicholas J MatzkeCentre for Computational Evolution, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand.
Tanja StadlerDepartment of Biosystems Science and Engineering, ETH Zürich, Mattenstrasse 26, 4058 Basel, Switzerland.
David WelchCentre for Computational Evolution, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand.
Alexei J DrummondCentre for Computational Evolution, The University of Auckland, Private Bag 92019, Auckland Mail Centre, Auckland 1142, New Zealand.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary models account for either population- or species-level processes but usually not both. We introduce a new model, the FBD-MSC, which makes it possible for the first time to integrate both the genealogical and fossilization phenomena, by means of the multispecies coalescent (MSC) and the fossilized birth-death (FBD) processes. Using this model, we reconstruct the phylogeny representing all extant and many fossil Caninae, recovering both the relative and absolute time of speciation events. We quantify known inaccuracy issues with divergence time estimates using the popular strategy of concatenating molecular alignments and show that the FBD-MSC solves them. Our new integrative method and empirical results advance the paradigm and practice of probabilistic total evidence analyses in evolutionary biology.[Caninae; fossilized birth-death; molecular clock; multispecies coalescent; phylogenetics; species trees.].

Indexed as

Genetic SpeciationModels, BiologicalBiological EvolutionFossilsPhylogeny

Identifiers

PMID34228807
PMCPMC8677526

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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.