Evidence map›Paper›PMID 29114046›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Pulsed evolution shaped modern vertebrate body sizes.

Michael J Landis, Joshua G Schraiber

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
11.3field-weighted citation impact, top 1% of its field
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

52 citing papers in PubMed, 139 citations in OpenAlex.

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  9. The diffused evolutionary dynamics of morphological novelty.Proceedings of the National Academy of Sciences of the United States of America · 2025
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  12. phyddle: software for exploring phylogenetic models with deep learning.bioRxiv : the preprint server for biology · 2025
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  16. Convergent evolution of giant size in eurypterids.Proceedings. Biological sciences · 2024
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  18. Robust Phylogenetic Regression.Systematic biology · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Michael J LandisDepartment of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06520.
Joshua G SchraiberDepartment of Biology, Temple University, Philadelphia, PA 19122; joshua.schraiber@temple.edu.ORCID 0000-0002-7912-2195
Temple University · USYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The relative importance of different modes of evolution in shaping phenotypic diversity remains a hotly debated question. Fossil data suggest that stasis may be a common mode of evolution, while modern data suggest some lineages experience very fast rates of evolution. One way to reconcile these observations is to imagine that evolution proceeds in pulses, rather than in increments, on geological timescales. To test this hypothesis, we developed a maximum-likelihood framework for fitting Lévy processes to comparative morphological data. This class of stochastic processes includes both an incremental and a pulsed component. We found that a plurality of modern vertebrate clades examined are best fitted by pulsed processes over models of incremental change, stationarity, and adaptive radiation. When we compare our results to theoretical expectations of the rate and speed of regime shifts for models that detail fitness landscape dynamics, we find that our quantitative results are broadly compatible with both microevolutionary models and observations from the fossil record.

Indexed as

Evolution, MolecularModels, GeneticAnimalsBody SizeFemaleMaleVertebratesadaptive landscapeLevy processmacroevolutionpulsed evolution

Identifiers

PMID29114046
PMCPMC5740653
OpenAlexW2767280340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.