ArticleMolecular systems biology2013
Natural sequence variants of yeast environmental sensors confer cell-to-cell expression variability.
Article in Molecular systems biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed, 44 citations in OpenAlex.
- Genetic impacts on within-pair DNA methylation variance in monozygotic twins capture gene-environment interactions and cell-type effects.Genome biology · 2026Article
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- Detecting genetic effects on phenotype variability to capture gene-by-environment interactions: a systematic method comparison.G3 (Bethesda, Md.) · 2024Review
- Article
- Variation in the modality of a yeast signaling pathway is mediated by a single regulator.eLife · 2021Article
- Cell-to-cell expression dispersion of B-cell surface proteins is linked to genetic variants in humans.Communications biology · 2020Article
- DNA variants affecting the expression of numerous genes in trans have diverse mechanisms of action and evolutionary histories.PLoS genetics · 2019Article
- Article
- Genetics ofeLife · 2018Article
- Assigning function to natural allelic variation via dynamic modeling of gene network induction.Molecular systems biology · 2018Article
- A sibling method for identifying vQTLs.PloS one · 2018Article
- Stochastic loss and gain of symmetric divisions in the C. elegans epidermis perturbs robustness of stem cell number.PLoS biology · 2017Article
- Batch effects and the effective design of single-cell gene expression studies.Scientific reports · 2017Article
- Epistasis and destabilizing mutations shape gene expression variability in humans via distinct modes of action.Human molecular genetics · 2016Article
- Exploiting Single-Cell Quantitative Data to Map Genetic Variants Having Probabilistic Effects.PLoS genetics · 2016Article
- The developmental genetics of biological robustness.Annals of botany · 2016Review
- Pervasive robustness in biological systems.Nature reviews. Genetics · 2015Review
- A functional perspective on phenotypic heterogeneity in microorganisms.Nature reviews. Microbiology · 2015Review
- Natural yeast promoter variants reveal epistasis in the generation of transcriptional-mediated noise and its potential benefit in stressful conditions.Genome biology and evolution · 2015Article
- 'Particle genetics': treating every cell as unique.Trends in genetics : TIG · 2014Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Living systems may have evolved probabilistic bet hedging strategies that generate cell-to-cell phenotypic diversity in anticipation of environmental catastrophes, as opposed to adaptation via a deterministic response to environmental changes. Evolution of bet hedging assumes that genotypes segregating in natural populations modulate the level of intraclonal diversity, which so far has largely remained hypothetical. Using a fluorescent P(met17)-GFP reporter, we mapped four genetic loci conferring to a wild yeast strain an elevated cell-to-cell variability in the expression of MET17, a gene regulated by the methionine pathway. A frameshift mutation in the Erc1p transmembrane transporter, probably resulting from a release of laboratory strains from negative selection, reduced P(met17)-GFP expression variability. At a second locus, cis-regulatory polymorphisms increased mean expression of the Mup1p methionine permease, causing increased expression variability in trans. These results demonstrate that an expression quantitative trait locus (eQTL) can simultaneously have a deterministic effect in cis and a probabilistic effect in trans. Our observations indicate that the evolution of transmembrane transporter genes can tune intraclonal variation and may therefore be implicated in both reactive and anticipatory strategies of adaptation.
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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.