A single-cell resolved genotype-phenotype map using genome-wide genetic and environmental perturbations
Heterogeneity is inherent to living organisms and it determines cell fate and phenotypic variability. Despite its ubiquity, the underlying molecular mechanisms and the genetic basis linking genotype to-phenotype heterogeneity remain a central challenge. Here we construct a yeast knockout library with a clone and genotype RNA barcoding structure suitable for genome-scale analyses to generate a high-resolution single-cell yeast transcriptome atlas of 3500 mutants under control and stress conditions. We find that transcriptional heterogeneity reflects the coordinated expression of specific gene programs, generating a continuous of cell states that can be responsive to external insults. Cell state plasticity can be genetically modulated with mutants that act as state attractors and disruption of state homeostasis results in decreased adaptive fitness. Leveraging on intra-genetic variability, we establish that regulators of transcriptional heterogeneity are functionally diverse and influenced by the environment. Our multimodal perturbation-based single-cell Genotype-to-Transcriptome Atlas in yeast provides insights into organism-level responses.
Authors
- Lars Michael Steinmetz (ORCID: https://orcid.org/0000-0002-3962-2865)
- Yaima Matas (ORCID: https://orcid.org/0009-0005-3403-3892)
- Mariona Nadal‐Ribelles (ORCID: https://orcid.org/0000-0003-3314-6711)
- Francesc Posas (ORCID: https://orcid.org/0000-0002-4164-7076)
- Eulàlia de Nadal (ORCID: https://orcid.org/0000-0003-0039-5607)
- Anna Díez-Villanueva (ORCID: https://orcid.org/0000-0002-1696-5523)
- Camille Stephan‐Otto Attolini (ORCID: https://orcid.org/0000-0001-8045-320X)
- Carme Solé (ORCID: https://orcid.org/0000-0003-4543-7401)
Institutions
- Universitat Pompeu Fabra (ES)
- Institute for Research in Biomedicine (ES)
- European Molecular Biology Laboratory (DE)
- Stanford University (US)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-03-18
- DOI
- https://doi.org/10.1038/s41467-025-57600-4
- Citations
- 2
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 1.61
Funders
- Institute for Research in Biomedicine