Evidence map›Paper›PMID 37889142›Full record

ArticleeLife2023

Evolutionary consequences of nascent multicellular life cycles.

Jennifer T Pentz, Kathryn MacGillivray, James G DuBose, Peter L Conlin, Emma Reinhardt, Eric Libby, William C Ratcliff

Abstract read
In one paragraph

Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024
    Article
  7. Article
  8. A nonadaptive explanation for macroevolutionary patterns in the evolution of complex multicellularity.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  9. 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

7 authors.

Jennifer T PentzLos Alamos National Laboratory, Los Alamos, United States.ORCID 0000-0002-8186-3005
Kathryn MacGillivraySchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.
James G DuBoseSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.
Peter L ConlinSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.ORCID 0000-0002-2793-7624
Emma ReinhardtDepartment of Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States.
Eric LibbyIceLab, Umeå University, Umeå, Sweden.
William C RatcliffSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, United States.ORCID 0000-0002-6837-8355

Funding

Integrative and Quantitative Biosciences Accelerated Training EnvironmentT32GM142616 · NIGMS · GEORGIA INSTITUTE OF TECHNOLOGY · PI James C. Gumbart, Peng Qiu · 2021 to 2026
$1.8M
NIGMS NIH HHS T32 GM142616NIH HHS T32GM142616
6 · The paper itself

Abstract

A key step in the evolutionary transition to multicellularity is the origin of multicellular groups as biological individuals capable of adaptation. Comparative work, supported by theory, suggests clonal development should facilitate this transition, although this hypothesis has never been tested in a single model system. We evolved 20 replicate populations of otherwise isogenic clonally reproducing 'snowflake' yeast (Δ

Indexed as

Biological EvolutionSaccharomyces cerevisiaeAnimalsHumansLife Cycle StagesModels, BiologicalModels, Theoreticaladaptationbiological individualityevolutionary biologyexperimental evolutionlife cyclesmajor transitions in evolutionmulticellularityS. cerevisiae

Identifiers

PMID37889142
PMCPMC10611430

What OpenQuestion holds

Textmetadata
LicenceCC0
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.