Evidence map›Paper›PMID 23822767›Full record

ArticleBMC systems biology2013

Single-cell phenomics reveals intra-species variation of phenotypic noise in yeast.

Gaël Yvert, Shinsuke Ohnuki, Satoru Nogami, Yasutaka Imanaga, Steffen Fehrmann, Joseph Schacherer, Yoshikazu Ohya

Abstract read
In one paragraph

Article in BMC systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing 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

42 citing papers in PubMed.

  1. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
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  14. Temporal encoding of bacterial identity and traits in growth dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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.

Gaël YvertLaboratoire de Biologie Moléculaire de la Cellule, Ecole Normale Supérieure de Lyon; CNRS, Université Lyon 1, 46 Allée d'Italie, Lyon F-69007, France. Gael.Yvert@ens-lyon.fr
Shinsuke Ohnuki
Satoru Nogami
Yasutaka Imanaga
Steffen Fehrmann
Joseph Schacherer
Yoshikazu Ohya

Funding

European Research Council 281359
6 · The paper itself

Abstract

backgroundMost quantitative measures of phenotypic traits represent macroscopic contributions of large numbers of cells. Yet, cells of a tissue do not behave similarly, and molecular studies on several organisms have shown that regulations can be highly stochastic, sometimes generating diversified cellular phenotypes within tissues. Phenotypic noise, defined here as trait variability among isogenic cells of the same type and sharing a common environment, has therefore received a lot of attention. Given the potential fitness advantage provided by phenotypic noise in fluctuating environments, the possibility that it is directly subjected to evolutionary selection is being considered. For selection to act, phenotypic noise must differ between contemporary genotypes. Whether this is the case or not remains, however, unclear because phenotypic noise has very rarely been quantified in natural populations.

resultsUsing automated image analysis, we describe here the phenotypic diversity of S. cerevisiae morphology at single-cell resolution. We profiled hundreds of quantitative traits in more than 1,000 cells of 37 natural strains, which represent various geographical and ecological origins of the species. We observed abundant trait variation between strains, with no correlation with their ecological origin or population history. Phenotypic noise strongly depended on the strain background. Noise variation was largely trait-specific (specific strains showing elevated noise for subset of traits) but also global (a few strains displaying elevated noise for many unrelated traits).

conclusionsOur results demonstrate that phenotypic noise does differ quantitatively between natural populations. This supports the possibility that, if noise is adaptive, microevolution may tune it in the wild. This tuning may happen on specific traits or by varying the degree of global phenotypic buffering.

Indexed as

PhenotypeSingle-Cell AnalysisComputational BiologyEvolution, MolecularPhylogenySaccharomyces cerevisiaeSpecies Specificity

Identifiers

PMID23822767
PMCPMC3711934

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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.