Evidence map›Paper›PMID 30342972›Full record

ArticleiScience2018

Evolutionary Transition in the Late Neogene Planktonic Foraminiferal Genus Truncorotalia.

Russell D C Bicknell, Katie S Collins, Martin Crundwell, Michael Hannah, James S Crampton, Nicolás E Campione

Abstract read
In one paragraph

Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Russell D C BicknellPalaeoscience Research Centre, School of Environmental and Rural Science, University of New England, Armidale 2351, Australia. Electronic address: rdcbicknell@gmail.com.
Katie S CollinsDepartment of the Geophysical Sciences, University of Chicago, 5734 South Ellis Avenue, Chicago, IL 60637, USA.
Martin CrundwellDepartment of Paleontology, GNS Science, Lower Hutt 5040, New Zealand.
Michael HannahSchool of Geography, Environment and Earth Science, Victoria University of Wellington, Wellington 6140, New Zealand.
James S CramptonDepartment of Paleontology, GNS Science, Lower Hutt 5040, New Zealand; School of Geography, Environment and Earth Science, Victoria University of Wellington, Wellington 6140, New Zealand.
Nicolás E CampionePalaeoscience Research Centre, School of Environmental and Rural Science, University of New England, Armidale 2351, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The fossil record provides empirical patterns of morphological change through time and is central to the study of the tempo and mode of evolution. Here we apply likelihood-based time-series analyses to the near-continuous fossil record of Neogene planktonic foraminifera and reveal a morphological shift along the Truncorotalia lineage. Based on a geometric morphometric dataset of 1,459 specimens, spanning 5.9-4.5 Ma, we recover a shift in the mode of evolution from a disparate latest Miocene morphospace to a highly constrained early Pliocene morphospace. Our recovered dynamics are consistent with those stipulated by Simpson's quantum evolution and Eldredge-Gould's punctuated equilibria and supports previous suppositions that even within a single lineage, evolutionary dynamics require a multi-parameter model framework to describe. We show that foraminiferal lineages are not necessarily gradual and can experience significant and rapid transitions along their evolutionary trajectories and reaffirm the utility of multivariate datasets for their future research.

Indexed as

Biological SciencesEcologyEvolutionary BiologyPaleobiologyPhylogenetics

Identifiers

PMID30342972
PMCPMC6205115

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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.