Evidence map›Paper›PMID 42844412›Full record

ReviewNature2026

Overcoming key challenges in the evolutionary transition to multicellularity.

G Ozan Bozdag, Kai Tong, Peter J Yunker, Matthew D Herron, William C Ratcliff

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature, 2026. 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

5 authors.

G Ozan Bozdag *School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA. gonensin.bozdag@biology.gatech.edu.ORCID http://orcid.org/0000-0002-0931-2399
Kai Tong *Department of Biomedical Engineering, Boston University, Boston, MA, USA. kai_tong@seas.harvard.edu.
Peter J YunkerSchool of Physics, Georgia Institute of Technology, Atlanta, GA, USA.ORCID http://orcid.org/0000-0001-8471-4171
Matthew D HerronNational Science Foundation, Alexandria, VA, USA.ORCID http://orcid.org/0000-0002-9578-0972
William C RatcliffSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA. ratcliff@gatech.edu.ORCID http://orcid.org/0000-0002-6837-8355

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dozens of independent origins of multicellularity have profoundly shaped Earth's evolutionary and ecological history. These transitions have given rise to massive radiations encompassing thousands to millions of species and the evolution of increasingly complex bodies. Multicellular taxa now constitute the majority of Earth's biomass and have fundamentally transformed global ecosystems, underpinning diverse biomes from forests and grasslands to coral reefs. While these macroevolutionary patterns have long been recognized, the microevolutionary processes driving the transition to multicellularity have remained unclear. Questions remain on how solitary cells form cohesive groups, how these groups become evolutionary units capable of adaptation at the multicellular level, and how novel cell types and developmental patterns emerge. Recent discoveries of previously unknown multicellular species and the development of experimental models have provided important insights into these questions. This work reveals that seemingly insurmountable evolutionary hurdles are often readily overcome either through the repurposing of ancestral unicellular traits or through emergent properties of multicellular collectives that arise spontaneously. Here we review key breakthroughs in our understanding of the microevolutionary processes that underpin the evolution of increasingly complex multicellularity, focusing on mechanisms through which single cells can evolve into functionally integrated multicellular organisms.

Indexed as

Biological EvolutionEukaryotaAnimalsArchaeaBacteriaEcosystemPhylogeny

Identifiers

What OpenQuestion holds

Textmetadata
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.