Evidence map›Paper›PMID 31679492›Full record

ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2019

How the past impacts the future: modelling the performance of evolutionarily distinct mammals through time.

D J Bennett, M D Sutton, S T Turvey

Abstract read
In one paragraph

Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Insights from the past: unique opportunity or foreign country?Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    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

3 authors.

D J BennettGothenburg Global Biodiversity Centre, PO Box 461, 405 30 Gothenburg, Sweden.
M D SuttonDepartment of Earth Sciences and Engineering, Imperial College London, London SW7 2BP, UK.
S T TurveyInstitute of Zoology, Zoological Society of London, London NW1 4RY, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How does past evolutionary performance impact future evolutionary performance? This is an important question not just for macroevolutionary biologists who wish to chart the phenomena that describe deep-time changes in biodiversity but also for conservation biologists, as evolutionarily distinct species-which may be deemed 'low-performing' in our current era-are increasingly the focus of conservation efforts. Contrasting hypotheses exist to account for the history and future of evolutionarily distinct species: on the one hand, they may be relicts of large radiations, potentially 'doomed' to extinction; or they may be slow-evolving, 'living fossils', likely neither to speciate nor go extinct; or they may be seeds of future radiations. Here, we attempt to test these hypotheses in Mammalia by combining a molecular phylogenetic supertree with fossil record occurrences and measuring change in evolutionary distinctness (ED) at different time slices. With these time slices, we modelled future ED as a function of past ED. We find that past evolutionary performance does indeed have an impact on future evolutionary performance: the most evolutionarily isolated clades tend to become more evolutionarily distinct with time, indicating that low-performing clades tend to remain low-performing throughout their evolutionary history. This article is part of a discussion meeting issue 'The past is a foreign country: how much can the fossil record actually inform conservation?'

Indexed as

Biological EvolutionAnimalsBiodiversityExtinction, BiologicalFossilsMammalsModels, BiologicalPhylogenyevolutionary distinctnessevolutionary potentialfossil recordliving fossilmammaliaphylogeny

Identifiers

PMID31679492
PMCPMC6863496

What OpenQuestion holds

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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.