Evidence map›Paper›PMID 40628487›Full record

ArticleProceedings. Biological sciences2025

Smoothness analyses of trace fossils: expanding quantitative toolkits to unravel bilaterian movement ecology during the Ediacaran-Cambrian transition.

Zekun Wang, M Gabriela Mangano, Luis A Buatois, Nianzhi Hang

Abstract read
In one paragraph

Article in Proceedings. Biological sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. 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

4 authors.

Zekun WangNatural History Museum, London, UK.ORCID 0000-0003-2528-3214
M Gabriela ManganoDepartment of Geological Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0000-0001-8747-6033
Luis A BuatoisDepartment of Geological Sciences, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.ORCID 0000-0001-9523-750X
Nianzhi HangPeking University, Beijing, People's Republic of China.

Funding

Natural Sciences and Engineering Research Council (NSERC) Discovery GrantRoyal SocietyUK Research and Innovation (UKRI) guarantee funding for MSCA
6 · The paper itself

Abstract

Trace fossils provide unique insights into early animal evolution during the Ediacaran-Cambrian transition. Throughout this critical interval, the smoothness (continuity of derivatives) of combined locomotory and feeding trace fossils (i.e. grazing) significantly increased, potentially indicating diverse evolutionary innovations. We propose several quantitative metrics, including smoothness criteria, minimum normalized radius of curvature and power spectral density, to explore these trace fossils, benchmarked by diverse modern analogues. We classify the trace fossils into unsmooth, regional-smooth and smooth trajectories. A noticeable appearance of regional-smooth and smooth trace fossils among different localities took place around the terminal Ediacaran (since ~545 Ma). Through comparison with extant animals, this period is consistent with the rise to dominance of slender mobile bilaterian eumetazoans with a hydrostatic body, coordinated musculature and long-range sensation to maintain course. The increase of body-length-to-width ratio, and locomotory and navigational capacities of the trace-makers are also quantitatively assessed during metazoan evolutionary radiation. Our results pinpoint the time window for the emergence of ecologically dominant benthic mobile bilaterians in an exponential fashion. We also expand quantitative ichnology, offering new criteria to explore palaeobiological and evolutionary implications of animal-sediment interactions at macroevolutionary scale.

Indexed as

Biological EvolutionFossilsInvertebratesLocomotionAnimalsEdiacaran–Cambrian transitionevolutionlocomotionsensationsmoothnesstrace fossil

Identifiers

PMID40628487
PMCPMC12308321

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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.