Single-cell imaging and RNA sequencing reveal patterns of gene expression heterogeneity during fission yeast growth and adaptation
| Autor: | Xi-Ming Sun, Anna Köferle, Wenhao Tang, Jürg Bähler, Malika Saint, Laurence Game, François Bertaux, Samuel Marguerat, Vahid Shahrezaei |
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| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Microbiology (medical)
Acclimatization Immunology Computational biology Biology Applied Microbiology and Biotechnology Microbiology Transcriptome 03 medical and health sciences Single-cell analysis Gene Expression Regulation Fungal Gene expression Schizosaccharomyces Genetics Gene 030304 developmental biology Regulation of gene expression 0303 health sciences 030306 microbiology Sequence Analysis RNA Gene Expression Profiling Cell Cycle RNA Bayes Theorem Cell Biology Gene expression profiling Adaptation Genome Fungal Single-Cell Analysis Heat-Shock Response |
| Popis: | Phenotypic cell-to-cell variability is a fundamental determinant of microbial fitness that contributes to stress adaptation and drug resistance. Gene expression heterogeneity underpins this variability but is challenging to study genome-wide. Here we examine the transcriptomes of >2,000 single fission yeast cells exposed to various environmental conditions by combining imaging, single-cell RNA sequencing and Bayesian true count recovery. We identify sets of highly variable genes during rapid proliferation in constant culture conditions. By integrating single-cell RNA sequencing and cell-size data, we provide insights into genes that are regulated during cell growth and division, including genes whose expression does not scale with cell size. We further analyse the heterogeneity of gene expression during adaptive and acute responses to changing environments. Entry into the stationary phase is preceded by a gradual, synchronized adaptation in gene regulation that is followed by highly variable gene expression when growth decreases. Conversely, sudden and acute heat shock leads to a stronger, coordinated response and adaptation across cells. This analysis reveals that the magnitude of global gene expression heterogeneity is regulated in response to different physiological conditions within populations of a unicellular eukaryote. |
| Databáze: | OpenAIRE |
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