ArticlePloS one2013
Eco-evolutionary feedback and the tuning of proto-developmental life cycles.
Article in PloS one, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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.
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.
Who cites it
12 citing papers in PubMed.
- The limits of information in precise regulation of early multicellular life cycles.bioRxiv : the preprint server for biology · 2026Article
- Evolutionary dynamics of nascent multicellular lineages.Proceedings. Biological sciences · 2025Article
- Alternating selection for dispersal and multicellularity favors regulated life cycles.Current biology : CB · 2023Article
- Minor variations in multicellular life cycles have major effects on adaptation.PLoS computational biology · 2023Article
- Major evolutionary transitions in individuality between humans and AI.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023Review
- The Consequences of Budding versus Binary Fission on Adaptation and Aging in Primitive Multicellularity.Genes · 2021Article
- Emergence of diverse life cycles and life histories at the origin of multicellularity.Nature ecology & evolution · 2019Article
- Evolution of simple multicellular life cycles in dynamic environments.Journal of the Royal Society, Interface · 2019Article
- Nascent life cycles and the emergence of higher-level individuality.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2017Article
- Bistability in a metabolic network underpins the de novo evolution of colony switching in Pseudomonas fluorescens.PLoS biology · 2015Article
- Article
- Nascent multicellular life and the emergence of individuality.Journal of biosciences · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Multicellular organisms depend on developmental programs to coordinate growth and differentiation from single cells, but the origins of development are unclear. A possible starting point is stochastic phenotypic variation generated by molecular noise. Given appropriate environmental conditions, noise-driven differentiation could conceivably evolve so as to come under regulatory control; however, abiotic conditions are likely to be restrictive. Drawing from an experimental system, we present a model in which environmental fluctuations are coupled to population growth. We show that this coupling generates stable selection for a single optimal strategy that is largely insensitive to environmental conditions, including the number of competitors, carrying capacity of the environment, difference in growth rates among phenotypic variants, and population density. We argue that this optimal strategy establishes stabilizing conditions likely to improve the quality and reliability of information experienced by evolving organisms, thus increasing opportunity for the evolutionary emergence of developmental programs.
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Registered trials
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.