Evidence map›Paper›PMID 40380887›Full record

ArticleGenome biology and evolution2025

Genetic Predisposition Toward Multicellularity in Chlamydomonas reinhardtii.

I Chen Kimberly Chen, Shania Khatri, Matthew D Herron, Frank Rosenzweig

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. 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.

I Chen Kimberly ChenSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-4274-7685
Shania KhatriSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0009-0004-7986-430X
Matthew D HerronSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0002-9578-0972
Frank RosenzweigSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA, USA.ORCID 0000-0003-0448-3188

Funding

NASA Astrobiology Institute Award NNA17BB05ANASA Exobiology 80NSSC20K0621NASA ICAR 80NSSC23K1357
6 · The paper itself

Abstract

The evolution from unicellular to multicellular organisms facilitates further phenotypic innovations, notably cellular differentiation. Multiple research groups have shown that, in the laboratory, simple, obligate multicellularity can evolve from a unicellular ancestor under appropriate selection. However, little is known about the extent to which deterministic factors such as ancestral genotype and environmental context influence the likelihood of this evolutionary transition. To test whether certain genotypes are predisposed to evolve multicellularity in different environments, we carried out a set of 24 evolution experiments, each founded by a population consisting of 10 different strains of the unicellular green alga Chlamydomonas reinhardtii, all in equal proportions. Twelve of the initially identical replicate populations were subjected to predation by the protist Paramecium tetraurelia, while the other 12 were subjected to settling selection by slow centrifugation. Population subsamples were transferred to fresh media on a weekly basis for a total of 40 transfers (∼600 generations). Heritable multicellular structures arose in 4 of 12 predation-selected populations (6 multicellular isolates in total), but never in the settling selection populations. By comparing whole genome sequences of the founder and evolved strains, we discovered that every multicellular isolate arose from one of two founders. Cell cluster size varied not only among evolved strains derived from different ancestors but also among strains derived from the same ancestor. These findings show that both deterministic and stochastic factors influence whether initially unicellular populations can evolve simple multicellular structures.

Indexed as

Biological EvolutionChlamydomonas reinhardtiiEvolution, MolecularGenotypeSelection, GeneticC reinhardtiiexperimental evolutiongenetic predispositionmulticellularity

Identifiers

PMID40380887
PMCPMC12124119

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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.