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 wit...

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Detalles Bibliográficos
Autores: Nadal Ribelles, Mariona, Sole Serra, Carme, Diez Villanueva, Anna, Stephan-Otto Attolini, Camille, Matas González, Yaima, Steinmetz, Lars M., Nadal Clanchet, Eulàlia De, Posas, Francesc
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2025
País:España
Institución:Universidad de Barcelona
Repositorio:Dipòsit Digital de la UB
OAI Identifier:oai:diposit.ub.edu:2445/219873
Acceso en línea:https://hdl.handle.net/2445/219873
Access Level:acceso abierto
Palabra clave:Mutació (Biologia)
Genètica
Mutation (Biology)
Genetics
Descripción
Sumario: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.