Evidence map›Paper›PMID 39095362›Full record

ArticleNature communications2024

Stability of ecologically scaffolded traits during evolutionary transitions in individuality.

Guilhem Doulcier, Peter Takacs, Katrin Hammerschmidt, Pierrick Bourrat

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Evolutionary dynamics of nascent multicellular lineages.Proceedings. Biological sciences · 2025
    Article
  2. Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024
    Article
  3. 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

4 authors.

Guilhem DoulcierPhilosophy Department, Macquarie University, New South Wales 2109, Australia. guilhem.doulcier@normalesup.org.ORCID 0000-0003-3720-9089
Peter TakacsPhilosophy Department, Macquarie University, New South Wales 2109, Australia.ORCID 0000-0003-1557-9601
Katrin Hammerschmidt *Institute of General Microbiology, Kiel University, Kiel, Germany. katrinhammerschmidt@googlemail.com.ORCID 0000-0003-0172-8995
Pierrick Bourrat *Philosophy Department, Macquarie University, New South Wales 2109, Australia. p.bourrat@gmail.com.ORCID 0000-0002-4465-6015

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary transitions in individuality are events in the history of life leading to the emergence of new levels of individuality. Recent studies have described an ecological scaffolding scenario of such transitions focused on the evolutionary consequences of an externally imposed renewing meta-population structure with limited dispersal. One difficulty for such a scenario has been explaining the stability of collective-level traits when scaffolding conditions no longer apply. Here, we show that the stability of scaffolded traits can rely on evolutionary hysteresis: even if the environment is reverted to an ancestral state, collectives do not return to ancestral phenotypes. We describe this phenomenon using a stochastic meta-population model and adaptive dynamics. Further, we show that ecological scaffolding may be limited to Goldilocks zones of the environment. We conjecture that Goldilocks zones-even if they might be rare-could act as initiators of evolutionary transitions and help to explain the near ubiquity of collective-level individuality.

Indexed as

Biological EvolutionPhenotypeAnimalsEcosystemIndividualityModels, BiologicalPopulation Dynamics

Identifiers

PMID39095362
PMCPMC11297203

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.